Gender Differences in Depression in Representative National Samples: Meta-Analyses of Diagnoses and Symptoms
Open accessAbstract
In 2 meta-analyses on gender differences in depression in nationally representative samples, we advance previous work by including studies of depression diagnoses and symptoms to (a) estimate the magnitude of the gender difference in depression across a wide array of nations and ages; (b) use a developmental perspective to elucidate patterns of gender differences across the life span; and (c) incorporate additional theory-driven moderators (e.g., gender equity). For major depression diagnoses and depression symptoms, respectively, we meta-analyzed data from 65 and 95 articles and their corresponding national data sets, representing data from 1,716,195 and 1,922,064 people in over 90 different nations. Overall, odds ratio (OR) = 1.95, 95% confidence interval (CI) [1.88, 2.03], and d = 0.27 [0.26, 0.29]. Age was the strongest predictor of effect size. The gender difference for diagnoses emerged earlier than previously thought, with OR = 2.37 at age 12. For both meta-analyses, the gender difference peaked in adolescence (OR = 3.02 for ages 13-15, and d = 0.47 for age 16) but then declined and remained stable in adulthood. Cross-national analyses indicated that larger gender differences were found in nations with greater gender equity, for major depression, but not depression symptoms. The gender difference in depression represents a health disparity, especially in adolescence, yet the magnitude of the difference indicates that depression in men should not be overlooked. (PsycINFO Database Record
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Claims the paper makes
13 of 92 cited sources checked · 9 supported · 0 flagged · accuracy not yet measured
- Premisecitation
In 18 countries from the WHO World Mental Health Surveys, odds ratios for 12-month major depressive episode ranged from 1.2 to 2.7 across 89,037 participants.
“odds ratios (ORs, female/male) for 12-month major depressive episode (MDE1) ranged from 1.2 to 2.7 across 18 countries and 89,037 participants”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bromet et al., 2011 source
- Premisecitation
The limited findings on adulthood are inconsistent regarding both the magnitude and direction of the gender difference in depression.
“The limited findings in adulthood are inconsistent with respect to both the magnitude and direction of the gender difference in depression”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Angst et al., 2002 source
- cites Mirowsky, 1996 source
- cites Oksuzyan et al., 2010 source
The Results (Depression) and Discussion describe variation by country and age, including a slight reversal in Japan that was not statistically significant. But the paper studies middle and older ages, not adulthood broadly, and its Discussion says the literature generally finds higher depression prevalence in women from young adulthood through early old age. It does not support characterizing the limited findings across adulthood as inconsistent in direction. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
The limited research on ethnicity, gender, and depression in the United States does not indicate variation by ethnicity in the gender difference in depression.
“The limited research on ethnicity, gender, and depression in the United States does not indicate variation by ethnicity in the gender difference in depression”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Barnes et al., 2013 source
The Results section (‘Tests of interaction in NESARC data’; page unavailable) reports a non-significant race × sex interaction (P = 0.89), consistent with no detected Black–White variation in the sex difference in lifetime major depression. The study tests Black and White respondents, not ethnicity broadly, and says it lacked sufficient power to test the interaction for 12-month depression. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Breslau et al., 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Oquendo et al., 2001 source
- Premisecitation
Other research indicates that economic development is not a major factor in cross-national variations in the magnitude of gender differences in depression.
“This absence of any substantial effect for nation-level wealth is consistent with other research (Bromet et al., 2011) indicating that economic development is not a major factor in cross-national variations in the magnitude of gender differences in depression.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Bromet et al., 2011 source
- Findingown data
Cross-national analyses indicated no relationship between gender equity and gender differences in depression symptoms.
“Cross-national analyses indicated that larger gender differences were found in nations with greater gender equity, for major depression, but not depression symptoms.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The domain-specific gender equity indicators chosen are theoretically linked to gender differences in depression.
- Findingown data
The overall standardized mean difference for the gender difference in depression symptoms was 0.27, with a 95% confidence interval from 0.26 to 0.29.
“Overall, OR = 1.95, 95% CI [1.88, 2.03] and d = 0.27 [0.26, 0.29].”
Quote in the paperSubstantial claim - Findingown data
For major depression diagnoses, the gender difference peaked in adolescence at an odds ratio of 3.02 for ages 13 to 15.
“the gender difference peaked in adolescence (OR = 3.02 for ages 13–15, and d = 0.47 for age 16)”
Quote in the paperSubstantial claim - Findingown data
Cross-national analyses indicated larger gender differences in major depression in nations with greater gender equity.
“Cross-national analyses indicated that larger gender differences were found in nations with greater gender equity, for major depression, but not depression symptoms.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The domain-specific gender equity indicators chosen are theoretically linked to gender differences in depression.
- Findingown data
The overall odds ratio for the gender difference in major depression diagnoses was 1.95, with a 95% confidence interval from 1.88 to 2.03.
“Overall, OR = 1.95, 95% CI [1.88, 2.03] and d = 0.27 [0.26, 0.29].”
Quote in the paperSubstantial claim - Findingown data
Age was the strongest predictor of effect size in the meta-analyses.
“Age was the strongest predictor of effect size.”
Quote in the paperSubstantial claim - Findingown data
For depression symptoms, the gender difference peaked at a standardized mean difference of 0.47 at age 16.
“the gender difference peaked in adolescence (OR = 3.02 for ages 13–15, and d = 0.47 for age 16)”
Quote in the paperSubstantial claim - Findingown data
When outliers were removed, the income inequality effect for depression symptoms became non-significant (p = 0.13).
“Yet, when outliers were removed, this effect become non-significant (p = 0.13).”
Quote in the paperNot a substantial claim - Findingown data
When outliers were excluded, effect sizes for depression-focused and gender-focused articles were both d = 0.26.
“Moreover, when excluding outliers, effect sizes for articles that focused on depression and articles that focused on gender were both d = 0.26.”
Quote in the paperNot a substantial claim - Findingown data
In the major depression meta-analysis, article focus accounted for significant variation in effect sizes.
“For the major depression meta-analysis, article focus accounted for significant variation in effect sizes (see Table 4).”
Quote in the paperNot a substantial claim - Findingown data
Differences between ages 20-29 and later ages were not significant for depression symptoms.
“Differences between 20–29 and later ages were not significant.”
Quote in the paperSubstantial claim - Findingown data
After excluding 7 outlier effect sizes (2% of all effect sizes), the random-effects weighted mean effect size for major depression changed only slightly to OR = 1.94, 95% CI [1.87, 2.01].
“After excluding these outliers, the random-effects estimate of the overall weighted mean effect size changed only slightly, OR = 1.94, 95% CI [1.87, 2.01].”
Quote in the paperNot a substantial claim - Findingown data
Larger gender differences in major depression were found in wealthier countries (OR = 2.00) than in low- to middle-income countries (OR = 1.82).
“Larger gender differences in depression were found in wealthier countries (OR = 2.00) compared to low- to middle- income countries (OR = 1.82).”
Quote in the paperSubstantial claim - Findingown data
In the depression symptom meta-analysis, article focus did not account for variability in effect sizes.
“For the depression symptom meta-analysis, article focus did not account for effect size variability.”
Quote in the paperNot a substantial claim - Findingown data
For major depression, income category (high versus low to middle) was a significant predictor of effect size.
“Income category (high versus low to middle) was a significant predictor of effect size.”
Quote in the paperSubstantial claim - Findingown data
Differences between ages 20-29 and later ages were not significant for major depression.
“Differences between 20–29 and later ages were not significant.”
Quote in the paperSubstantial claim - Findingown data
The random-effects weighted mean effect size for the gender difference in major depression was OR = 1.95, 95% CI [1.88, 2.03].
“The random-effects estimate of the weighted mean effect size for the gender difference in major depression was OR = 1.95, 95% CI [1.88, 2.03].”
Quote in the paperSubstantial claim - Findingown data
The random-effects weighted mean effect size for the gender difference in depression symptoms was d = 0.27, 95% CI [0.26, 0.29].
“The random-effects estimate of the weighted mean effect size for the gender difference in depression symptoms was d = 0.27, 95% CI [0.26, 0.29].”
Quote in the paperSubstantial claim - Findingown data
The age patterns were highly similar across the two meta-analyses.
“The patterns were highly similar in both meta-analyses.”
Quote in the paperNot a substantial claim - Findingown data
In the major depression meta-analysis, effect sizes from unpublished data (OR = 1.83) were significantly smaller than those from published data (OR = 2.09).
“For the major depression meta-analysis, effect sizes from unpublished data (OR = 1.83) were significantly smaller than effect sizes from published data (OR = 2.09).”
Quote in the paperSubstantial claim - Findingown data
The set of effect sizes in the depression symptom meta-analysis was significantly heterogeneous under the fixed effects model, Qt(412) = 9542.50, p < .001.
“The set of effect sizes using the fixed effects model was significantly heterogeneous, Qt(412) = 9542.50, p <.001.”
Quote in the paperSubstantial claim - Findingown data
For the major depression meta-analysis, the Begg and Mazumdar rank correlation test gave Tau = 0.07, p = 0.07.
“For the major depression meta-analysis, Tau = 0.07, p = 0.07.”
Quote in the paperSubstantial claim - Findingown data
For the depression symptom meta-analysis, the Begg and Mazumdar rank correlation test gave Tau = −0.03, p = 0.49.
“For the depression symptom meta-analysis, Tau = −0.03, p = 0.49.”
Quote in the paperSubstantial claim - Findingown data
After excluding 3 outlier effect sizes (1% of all effect sizes), the random-effects weighted mean effect size for depression symptoms did not change, d = 0.27, 95% CI [0.25, 0.28].
“After excluding these outliers, the random-effects estimate of the overall weighted mean effect size did not change, d = 0.27, 95% CI [0.25, 0.28].”
Quote in the paperNot a substantial claim - Findingnone given
The diagnosis effect size OR = 1.95 is equivalent to d = 0.37.
“The diagnosis effect size of OR = 1.95 is equivalent to d = 0.37.”
Quote in the paperNot a substantial claim - Findingown data
The effect size for ages 20-29 (0.30) was significantly smaller than the effect size for ages 16-19, QB = 7.26, p < .01.
“The effect size for ages 20–29 (0.30) was significantly smaller than the effect size for ages 16–19, QB = 7.26, p < .01.”
Quote in the paperSubstantial claim - Findingown data
Age predicted variability in effect size for both diagnoses and symptoms, whether treated as a categorical or continuous variable.
“As both a categorical variable and continuous variable, age predicted variability in effect size for diagnoses and symptoms.”
Quote in the paperSubstantial claim - Findingnone given
The symptom effect size d = 0.27 is equivalent to logged OR = 0.49 and OR = 1.64.
“The symptom effect size of d = 0.27 is equivalent to logged OR = 0.49 and OR = 1.64.”
Quote in the paperNot a substantial claim - Findingown data
In the depression symptom meta-analysis, effect sizes did not differ by publication status.
“For the depression symptom meta-analysis, effect sizes did not differ as a function of publication status.”
Quote in the paperSubstantial claim - Findingown data
The ORs for ages 12 (2.37), 13-15 (3.02), and 16-19 (2.69) were not statistically different (QB = 1.19, QB = 1.98, ps > 0.15).
“Follow-up testing with pairs of consecutive age groups indicated that the ORs for ages 12 (2.37), 13–15 (3.02), and 16–19 (2.69) were not statistically different (QB= 1.19, QB= 1.98, ps > 0.15, respectively).”
Quote in the paperNot a substantial claim - Findingown data
The set of effect sizes in the major depression meta-analysis was significantly heterogeneous under the fixed effects model, Qt(299) = 1961.63, p < .001.
“The set of effect sizes using the fixed effects model was significantly heterogeneous, Qt(299) = 1961.63, p <.001.”
Quote in the paperSubstantial claim - Findingown data
For literacy, the effect size for major depression increased as the female-to-male adult literacy ratio increased.
“For literacy, the effect size increased as the ratio of the female: male adult literate population increased.”
Quote in the paperSubstantial claim - Findingown data
For depression symptoms, income category (high versus low to middle) was not a significant predictor of effect size.
“Income category (high versus low to middle) was not a significant predictor of effect size.”
Quote in the paperNot a substantial claim - Findingown data
Income inequality was not a significant predictor of the gender difference in major depression.
“Income inequality was not a significant predictor.”
Quote in the paperNot a substantial claim - Findingown data
Most effect sizes came from articles focused on depression rather than gender: 70% for major depression and 56% for depression symptoms.
“Importantly, the majority of effect sizes were from articles that focused on depression (70% for major depression; 56% for depression symptoms), not gender (see Table 3).”
Quote in the paperSubstantial claim - Findingown data
As the percentage of women using contraception increased (range = 8-84%), the effect size for major depression increased.
“As the percentage of women using some form of contraception increased (range = 8 – 84%), the effect size also increased.”
Quote in the paperSubstantial claim - Findingown data
Developmental trends in the moderator analyses were highly consistent across the two meta-analyses.
“In the moderator analyses, developmental trends were also highly consistent across both meta-analyses (see Table 6 for a summary of comparisons between the symptom and diagnostic findings).”
Quote in the paperNot a substantial claim - Findingown data
The gender difference in depression symptoms emerged earlier in our meta-analysis than in the Twenge and Nolen-Hoeksema (2002) meta-analysis of CDI data.
“The gender difference in depression symptoms emerged somewhat earlier in adolescence in our meta-analysis (d = .02 for ages 8–11, d = .14 for age 12, d = .26 for age 13, d = .38 for age 14) compared to the Twenge and Nolen-Hoeksema (2002) meta-analysis of CDI data (d = −.06 for age 12, d = .08 for age 13, d = .22 for age 14).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Twenge and Nolen-Hoeksema (2002)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The adolescent gender difference in our meta-analysis was larger than in the Twenge and Nolen-Hoeksema meta-analysis.
“The gender difference in adolescence in our meta-analysis was also larger (largest adolescent d = .47 for age 16) compared to the Twenge and Nolen-Hoeksema meta-analysis (largest adolescent d = .22 for ages 14 and 15).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Twenge and Nolen-Hoeksema (2002)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
For the major depression meta-analysis, year of data collection was a significant predictor of effect size, with larger gender differences in more recent years.
“As shown in Table 5, for the major depression meta-analysis, year of data collection was a significant predictor of effect size, such that gender differences were larger more recently.”
Quote in the paperNot a substantial claim - Findingown data
In the major depression meta-analysis, diagnostic interview type (WMH-CIDI versus other) did not account for significant variation in effect sizes.
“As shown in Table 4, diagnostic interview (WMH-CIDI v. Other) did not account for significant variation in effect sizes in the major depression meta-analysis.”
Quote in the paperNot a substantial claim - Findingown data
Symptom measure significantly predicted variation in effect size.
“Symptom measure significantly predicted variation in effect size.”
Quote in the paperNot a substantial claim - Findingown data
Across many nations, measures, and ages, the magnitude of the gender difference was very comparable for depression symptoms and diagnoses.
“however, across a wide variety of nations, measures, and ages, the magnitude of the gender difference for depression symptoms and diagnoses was very comparable.”
Quote in the paperSubstantial claim - Findingown data
When outliers were excluded, diagnostic manual for major depression predicted significant variation in effect size, QB = 7.26, p = .013.
“However, when outliers were excluded, manual for major depression predicted significant variation in effect size, QB = 7.26, p = .013.”
Quote in the paperNot a substantial claim - Findingown data
For symptom measures, there was a marginal difference between high-income nations (d = 0.26) and low- to middle-income nations (d = 0.29) in the gender difference.
“There was a marginal difference between high-income nations (d = 0.26) and other nations (low- to middle-income; d = 0.29) in the magnitude of the gender difference for symptom measures.”
Quote in the paperNot a substantial claim - Findingreasoning
Some findings, such as nation-level indicators and trends over time, did not replicate across the two meta-analyses.
“However, some findings did not replicate across meta-analyses (e.g., nation-level indicators, trends over time), which may be influenced by the different set of nations and studies included in the two meta-analyses.”
Quote in the paperNot a substantial claim - Findingown data
For the depression symptom meta-analysis, year of data collection did not predict variation in effect size.
“For the depression symptom meta-analysis, year of data collection did not predict variation in effect size.”
Quote in the paperNot a substantial claim - Findingnone given
For major depression diagnoses, variability in the gender difference was linked to measures of national wealth and gender equity.
“For major depression diagnoses, variability in the gender difference in depression was linked to measures of national wealth and gender equity.”
Quote in the paperSubstantial claim- Rests on an assumption: The nation-level indicators of gender equity and national wealth validly measure those constructs.
- Findingown data
Despite the different time periods captured by symptom and diagnostic assessments, the effect magnitudes for both were similar.
“Despite this difference in amount of time captured by each assessment, the magnitude of the effect for both diagnoses and symptoms was similar.”
Quote in the paperSubstantial claim - Findingown data
Age was the strongest predictor of effect size among all moderator variables examined.
“Age was the strongest predictor of effect size, compared with all other moderator variables.”
Quote in the paperSubstantial claim - Findingown data
For gender differences in depression symptoms, the meta-analytic effect size was Cohen's d = 0.27.
“For gender differences in depression symptoms, we found d = 0.27; this is the first meta-analytic estimate of gender differences in symptoms based on samples across the lifespan.”
- Also stated in: § Conclusions · plain
“In two separate meta-analyses including nationally representative samples with over 1.7 million people each, we found evidence for a 1.95 odds ratio for gender differences in major depression and a Cohen’s d of 0.27 for gender differences in depression symptoms.”
Quote in the paperSubstantial claim - Also stated in: § Conclusions · plain
- Findingown data
The overall odds ratio for gender differences in major depression diagnoses was 1.95.
“Overall, the odds ratio was 1.95 for gender differences in diagnoses of major depression; this is the first time that this odds ratio has been estimated meta-analytically and across such a large sample.”
- Also stated in: § Conclusions · plain
“In two separate meta-analyses including nationally representative samples with over 1.7 million people each, we found evidence for a 1.95 odds ratio for gender differences in major depression and a Cohen’s d of 0.27 for gender differences in depression symptoms.”
Quote in the paperSubstantial claim - Also stated in: § Conclusions · plain
- Findingown data
When outliers were excluded, executive positions had a marginal effect on effect size for major depression, with effect size increasing as the percentage of executive positions held by women increased (range = 2-58%).
“When outliers were excluded, executive positions had a marginal effect on effect size, such that as the percentage of executive positions held by women increased (range = 2 – 58%), the effect size increased.”
Quote in the paperSubstantial claim - Findingnone given
The two meta-analyses included data from more than 90 nations.
“The two meta-analyses included data from more than 90 nations.”
Quote in the paperSubstantial claim - Findingown data
For diagnoses, the odds ratio was significantly higher in high-income nations (2.00) than in other nations (1.82).
“For diagnoses, the OR was significantly higher in high-income nations (2.00) than in other nations (1.82).”
Quote in the paperNot a substantial claim - Findingown data
In the major depression meta-analysis, gender differences in diagnoses were larger in nations where women had more reproductive control, more executive positions, and literacy rates more similar to men's.
“In the major depression meta-analysis, gender differences in depression diagnoses were larger in nations where women had more control over their reproduction, held more executive positions, and were more similar to men in literacy rates.”
Quote in the paperSubstantial claim- Rests on an assumption: The nation-level indicators of gender equity and national wealth validly measure those constructs.
- Findingown data
The positive trend over time in the diagnosis meta-analysis was small, accounting for only 2% of the variance.
“However, this effect was small, accounting for only 2% of the variance.”
Quote in the paperNot a substantial claim - Findingown data
Gender differences were smallest for African Americans in both meta-analyses.
“Notably, gender differences were smallest for African Americans in both meta-analyses.”
Quote in the paperNot a substantial claim - Findingown data
The odds ratio increased from 1.84 in 1991-1996 to 2.17 in 2009-2014.
“Specifically, the OR increased from 1.84 in 1991–1996 to 2.17 in 2009–2014.”
Quote in the paperSubstantial claim - Premisecitation
There is consensus that the gender difference in depression has a multifactorial etiology.
“There now is consensus that the gender difference in depression has a multifactorial etiology”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Cyranowski et al., 2000 source
- cites Hyde et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
One meta-analysis reported effect sizes for gender differences in depression symptoms ranging from d = −0.06 at age 12 to d = +0.22 at ages 14 and 15.
“One meta-analysis reported effect sizes ranging from d = −0.06 at age 12 to d = +0.22 at ages 14 and 15”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Twenge & Nolen-Hoeksema, 2002
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The gender difference in depression represents a health disparity, especially during adolescence.
“The gender difference in depression represents a health disparity, especially in adolescence”
Quote in the paperSubstantial claim - Premisereasoning
Victimization is related to depression in both males and females.
“Similar to financial hardship, victimization is also related to depression in both males and females.”
Quote in the paperNot a substantial claim - Premisenone given
Sociological approaches to mental health emphasize poverty, violence, and gender inequality as factors contributing to the gender difference in depression.
“Sociological approaches to mental health emphasize the role of poverty, violence, and gender inequality as factors contributing to the gender difference in depression.”
Quote in the paperSubstantial claim - Premisecitation
Abundant evidence suggests a relationship between financial hardship and depression in both sexes.
“Abundant evidence suggests a relationship between financial hardship and depression in both sexes”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Reiss, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The conclusion that the gender difference emerges by ages 13 to 15 has been widely accepted based on findings from one sample from one region of New Zealand.
“This conclusion has been widely accepted (the article had been cited 1693 times as of December 2016) based on findings from one sample from one region of New Zealand”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Hankin et al., 1998
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Kessler et al., 1993
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
A meta-analysis of 24 studies among individuals ages 75 and older reported gender ratios between 1.4 and 2.2.
“A meta-analysis of 24 studies among individuals ages 75 and older reported gender ratios between 1.4 and 2.2”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Luppa et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The income category and income inequality results for depression symptoms are not reliable because they were sensitive to excluding outliers.
“Neither of these results are reliable given the sensitivity when outliers were excluded.”
Quote in the paperSubstantial claim - Interpretationown data
Obtaining unpublished data from authors protects the meta-analyses from file drawer effects.
“This protects the data from file drawer effects.”
Quote in the paperSubstantial claim - Interpretationown data
The similarity of effect sizes between depression-focused and gender-focused articles, together with the small proportion of gender-focused studies, suggests that publication bias favoring gender differences is not a serious concern in these meta-analyses.
“Thus, the similarity of the effect sizes for articles focused on depression and gender, combined with the small proportion of gender-focused studies, suggests that publication bias for articles finding gender differences is not a serious concern in these meta-analyses.”
Quote in the paperSubstantial claim - Interpretationown data
Because most effect sizes in the major depression meta-analysis came from unpublished data, potential publication bias is less of a concern.
“However, the majority of effect sizes included in this meta-analysis were from unpublished data, making potential publication bias less of a concern.”
Quote in the paperSubstantial claim - Interpretationown data
Neither skewness test was statistically significant, indicating no evidence of bias in the effect sizes for either meta-analysis.
“Thus, neither of the tests for skewness was statistically significant, indicating no evidence of bias in the set of effect sizes, for both meta-analyses.”
Quote in the paperNot a substantial claim - Premisecitation
Beginning around 1990, with the formation of cross-national collaboration groups studying psychiatric epidemiology, data sets based on representative samples became available for gender differences in depression.
“Beginning around 1990, with the formation of cross-national collaboration groups studying psychiatric epidemiology (e.g., Cross National Collaborative Group, 1992), data sets based on representative samples became available for gender differences in depression.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cross National Collaborative Group, 1992
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The Vevea and Woods test provides no evidence of publication bias in the effect sizes of the two meta-analyses.
“The Vevea and Woods test assesses for evidence of publication bias and provides no evidence for it in the sets of effects sizes in these two meta-analyses.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The consistency of the findings across the two meta-analyses indicates that the findings are robust.
“The consistency of the findings across the two meta-analyses indicates that the findings are robust.”
Quote in the paperSubstantial claim - Premisecitation
Gender biases in diagnosis have been documented.
“gender biases in diagnosis have been documented (Hartung & Widiger, 1998).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hartung & Widiger, 1998 source
- Interpretationown data
The conclusion that gender equity indicators did not predict depression symptom effect sizes should be qualified because variability in all three indicators was limited.
“These conclusions, however, should be qualified because the variability for all three indicators was limited.”
Quote in the paperSubstantial claim - Study design and conductnone given
The symptom meta-analysis and the diagnosis meta-analysis represented different sets of nations.
“First, a different set of nations was represented in the symptom meta-analysis compared with the diagnosis meta-analysis.”
Quote in the paperNot a substantial claim - Study design and conductnone given
The depression measures used in the meta-analyses were standard diagnostic interviews and symptom questionnaires based on Western conceptualizations of depression from the DSM and ICD.
“The depression measures used in the current meta-analyses used standard diagnostic interviews and symptom questionnaires that are based on Western conceptualizations of depression, as codified in the DSM and the ICD.”
Quote in the paperSubstantial claim - Premisecitation
Today, major events such as marriage, childbirth, and divorce do not occur at the same ages for all or most individuals.
“Today, the ages of major events such as marriage, childbirth, and divorce do not occur at the same time for all or most individuals.”
Quote in the paperSubstantial claim - Interpretationreasoning
The difference between OR = 1.73 for ICD and OR = 1.97 for both DSM versions is not large.
“However, the difference between OR = 1.73 for ICD and OR = 1.97 for both DSMs is not a large difference.”
Quote in the paperNot a substantial claim - Interpretationreasoning
For temperament to explain the emergence of the gender difference in adolescence, it must interact with another factor such as stress, which increases dramatically in adolescence and more for females than males.
“Given no gender difference in negative affectivity in infancy and childhood (Else-Quest et al., 2006), for temperament to account for the emergence of the gender difference in depression in adolescence requires an interaction between vulnerable temperament and some other factor, such as stress, with stress increasing dramatically in adolescence and increasing more for females than males.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Given an odds ratio of 1.95, if 10% of females in a nation have major depression, then about 5.4% of males have major depression.
“For example, in a nation where 10% of females have major depression, this means that, 5.4% of males also have major depression.”
Quote in the paperNot a substantial claim - Interpretationown data
Our meta-analytic findings confirm that the gender difference in depression symptoms emerges around puberty.
“Importantly, our meta-analytic findings confirm that the gender difference in depression symptoms emerges around puberty, supporting continued theorizing about the role of puberty.”
Quote in the paperSubstantial claim - Interpretationreasoning
For all three gender equity indicators, greater gender equity was associated with a larger gender difference in major depression.
“Thus, for all three indicators, greater gender equity was associated with a larger gender difference in major depression.”
Quote in the paperSubstantial claim - Premisecitation
Major life transitions that formerly occurred at standard ages no longer occur at such regular ages.
“Second, major life transitions that formerly occurred at standard ages and could be major sources of stress, no longer occur at such regular ages. Life course sociologists have called this a “de-standardization of the life course” (Bruckner & Mayer, 2005) or “disorder in the life course” (Rindfuss, Swicegood, & Rosenfeld, 1987).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
There is no gender difference in negative affectivity during infancy and childhood.
“Given no gender difference in negative affectivity in infancy and childhood (Else-Quest et al., 2006), for temperament to account for the emergence of the gender difference in depression in adolescence requires an interaction between vulnerable temperament and some other factor, such as stress, with stress increasing dramatically in adolescence and increasing more for females than males.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Else-Quest et al., 2006 source
- Interpretationreasoning
A person with moderate-to-low current depression symptoms may still have had a major depressive episode earlier in the same year.
“However, an individual who scores in the moderate-to-low range on a measure of current depression symptoms may have experienced a major depressive episode earlier that year.”
Quote in the paperSubstantial claim - Premisecitation
Depression may manifest differently in different cultures.
“Third, depression may manifest differently in different cultures (Tsai & Chentsova-Dutton, 2002).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tsai & Chentsova-Dutton, 2002
- Study design and conductreasoning
Because cultural adaptations that changed diagnostic criteria were not made, the measures may fail to capture some aspects of depression that appear in other cultures.
“However, cultural adaptations that changed diagnostic criteria were not made and, thus, measures may fail to capture some aspects of depression that appear in other cultures (e.g., Beals et al., 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Beals et al., 2005 source
- Interpretationreasoning
Most people currently in a major depressive episode will score high on a measure of current depression symptoms.
“Thus, most individuals who are currently experiencing a major depressive episode will, indeed, score high on a measure of depression symptoms.”
Quote in the paperSubstantial claim - Premisecitation
Today, at least in the U.S. and many other Western nations, adult women's and men's work and family roles are much more equalized than before.
“First, today, at least in the U.S. and many other Western nations, adult women’s and men’s work and family roles are much more equalized than before.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Costello et al., 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductreasoning
The findings represent especially strong scientific evidence because they are based on representative samples with strong measurement rather than small community or convenience samples.
“The findings represent especially strong scientific evidence because they are not based on small community or convenience samples and are instead based on representative samples with strong measurement.”
Quote in the paperSubstantial claim- Rests on an assumption: The nationally representative samples included in the meta-analyses accurately represent their target national populations.
- Premisecitation
For objective measures such as mathematics performance or ratings of others such as mate preferences, the gender gap is smaller in more equitable nations.
“For objective measures such as mathematics performance, or for ratings of others such as mate preferences, the gender gap is smaller in more equitable nations (e.g., Else-Quest et al., 2010; Zentner & Mitura, 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked - Study design and conductreasoning
The diagnosis meta-analysis did not cover the 1970s and 1980s or earlier decades because nationally representative studies were not yet being conducted.
“It should be noted that the diagnosis meta-analysis did not cover the 1970s and 1980s or earlier decades, because researchers were not yet conducting studies based on nationally representative samples.”
Quote in the paperNot a substantial claim - Premisereasoning
In the domain of subjective self-ratings, gender differences are larger in more equitable nations.
“It is in the domain of subjective self-ratings that gender differences are larger in more equitable nations (Wood & Eagly, 2012).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wood & Eagly, 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The authors achieved the goal of including data from a wide array of nations from all regions of the world.
“Thus, we achieved the goal of including data from a wide array of nations from all regions of the world.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The results are weighted toward European and North American samples because more research has been conducted in those regions.
“The results reported here are weighted toward European and North American samples because so much more research has been conducted in those regions.”
Quote in the paperNot a substantial claim - Premisecitation
Gender differences are smaller when individuals make intragroup social comparisons.
“Gender differences are smaller when individuals’ social comparisons are made intragroup, e.g., comparing themselves to other members of their own gender.”
Quote in the paperSubstantial claim - Interpretationown data
The findings indicate that there is probably little or no relationship between income inequality and the magnitude of the gender difference in depression.
“The findings reported here indicate that there is probably little or no relationship.”
Quote in the paperSubstantial claim - Interpretationown data
We cannot reach confident conclusions about the relationship between income inequality and the magnitude of the gender difference in depression.
“Therefore, we cannot reach confident conclusions about the relationship between income inequality and the magnitude of the gender difference in depression.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The findings yield information only on the gender gap in depression, not on prevalence levels for either gender.
“An important clarification in regard to policy implications is that the findings of the current studies yield information only on the gender gap in depression, not on prevalence levels for either gender.”
Quote in the paperSubstantial claim - Interpretationreasoning
If global health efforts targeted only women, they would miss a substantial proportion of depressed individuals, namely men.
“If global health efforts only targeted women, they would be missing a substantial proportion of depressed individuals, men.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 72
- May combine two claims. 101
- Borderline: one of the tests for a substantial claim is unclear. 1
- Not yet classified. 1
Classified as probably not a substantial claim.
PremisecitationA study including 18 countries from the WHO World Mental Health Surveys reported that the relationship between gender and major depressive episode did not differ significantly between high-income and low- to middle-income countries.
“A study including 18 countries from the WHO World Mental Health Surveys (Kessler & Usten, 2008) reported that the relationship between gender and MDE did not differ significantly between high-income and low- to middle-income countries”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bromet et al., 2011 source
May combine two claims.
PremisecitationThe 2-to-1 ratio for major depression is not universal and may vary substantially across nations.
“However, findings also suggest that the 2:1 ratio is not universal and may vary substantially across nations.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Bromet et al., 2011 source
May combine two claims.
PremisecitationIn most adult epidemiological reports, women have higher rates of major depression than men, with an average ratio of 2 to 1.
“In the vast majority of epidemiological reports on adults, women have higher rates of major depression compared to men; on average, the ratio is 2:1”
Quote in the paperSubstantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther widely held beliefs about gender differences, such as the gender difference in math performance, have sometimes been found inaccurate when meta-analyzed.
“Other widely held beliefs about gender differences, such as the gender difference in math performance, have sometimes been found to be inaccurate when the data are meta-analyzed”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Hyde et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Lindberg et al., 2010 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThere is increased recognition of the validity and value of dimensional assessments, as well as the impairment associated with sub-threshold symptoms that do not meet diagnostic criteria.
“there is increased recognition of the validity (e.g., Markon, Chmielewski, & Miller, 2011) and value (Cuthbert & Insel, 2013) of dimensional assessments, as well as the impairment associated with sub-threshold levels of symptoms that do not meet diagnostic criteria.”
Quote in the paperSubstantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationTwo large multi-nation studies reported conflicting results, finding that the gender gap in depression was smaller and larger, respectively, in low gender-equity countries compared to high gender-equity countries.
“Two large multi-nation studies have reported conflicting results, finding that the gender gap in depression was smaller and larger, respectively, in low gender-equity countries compared to high gender-equity countries”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Hopcroft & Bradley, 2007 source
- cites Van de Velde et al., 2013 source
The Discussion reports the conflicting finding that Hopcroft and Bradley found a larger depression gender gap in high-equality countries, while this paper's results were more consistent with equality reducing women's disadvantage. But the Results say the overall interaction between gender and equality was not significant; a smaller gap at higher equality appeared only in certain subgroups and for certain measures. The sentence overstates this paper's finding as a general cross-country result. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationSeedat and colleagues found a significant narrowing in the gender difference in depression in recent cohorts.
“Seedat and colleagues (2009) found a significant narrowing in the gender difference in depression in recent cohorts.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Seedat et al., 2009 source
May combine two claims.
PremisecitationA latent growth curve analysis found that girls' depression symptoms accelerated early in adolescence and then leveled off, while boys' symptoms accelerated in late adolescence.
“One latent growth curve analysis indicated that girls’ depression symptoms accelerated early in adolescence and then leveled off, whereas boys’ symptom levels accelerated in late adolescence (Salk, Petersen, Abramson, & Hyde, 2016), consistent with the first possibility above.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Salk, Petersen, Abramson, & Hyde, 2016 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGreater contraceptive prevalence should indicate women's greater reproductive control and a lower rate of unwanted pregnancies, which are a risk factor for depression.
“On the face of it, greater contraceptive prevalence should indicate women’s greater control over reproduction and a lower rate of unwanted pregnancies, which are a risk factor for depression (e.g., Mercier, Garrett, Thorp, & Siega-Riz, 2013).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Mercier, Garrett, Thorp, & Siega-Riz, 2013 source
The Discussion (Main Findings) reports that women with unwanted pregnancies had a higher risk of postpartum depression than women with intended pregnancies. The claim says “depression” without limiting it to the postpartum period; the paper also cautions in the Discussion (Interpretation) that it cannot establish a causal relationship. The contraceptive-prevalence premise appears to be the citing authors’ framing, not a finding attributed to this source. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Borderline on S3 (load-bearing), S4 (based): unclear from the text.
Findingnone givenIn both meta-analyses, U.S. ethnicity did not account for significant variation in effect size.
“In both meta-analyses, U.S. ethnicity did not account for significant variation in effect size (see Table 4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe meta-analysis of depression symptoms pooled 95 articles and their national datasets, covering 1,922,064 individuals from more than 90 countries.
“we meta-analyzed data from 65 and 95 articles and their corresponding national datasets, representing data from 1,716,195 and 1,922,064 people in over 90 different nations.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor both meta-analyses, the gender difference declined after adolescence and remained stable in adulthood.
“but then declined and remained stable in adulthood.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe meta-analysis of major depression diagnoses pooled 65 articles and their national datasets, covering 1,716,195 individuals from more than 90 countries.
“we meta-analyzed data from 65 and 95 articles and their corresponding national datasets, representing data from 1,716,195 and 1,922,064 people in over 90 different nations.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe gender difference for major depression diagnoses emerged earlier than previously thought, with an odds ratio of 2.37 at age 12.
“The gender difference for diagnoses emerged earlier than previously thought, with OR = 2.37 at age 12.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataOverall, 112 articles from the original search met inclusion criteria, and 46 new articles were added from additional searching for nationally representative datasets.
“Overall, 112 articles from the original search met criteria for inclusion, including articles for which authors needed to be contacted for data. We added 46 new articles that were not in the original search from additional searching for nationally representative datasets.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEffect sizes for ages 8-12 (0.09), 13-15 (0.35), and 16-19 (0.41) were statistically different (QB = 23.01 and QB = 8.06, ps < .01), with each consecutive age group significantly larger than the previous one.
“Follow-up testing with pairs of consecutive age groups indicated that the effect sizes for ages 8–12 (0.09), 13–15 (0.35), and 16–19 (0.41) were statistically different (QB = 23.01 and QB = 8.06, ps< .01, respectively), such that the effect size for each consecutively age group was significantly larger than the previous age group.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe depression symptom meta-analysis covers data collected from 1978 to 2014, while the major depression meta-analysis covers data collected from 1991 to 2014.
“The depression symptom meta-analysis covers data collected from 1978–2014 whereas the major depression meta-analysis only includes data collected from 1991–2014.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor major depression, effect sizes ranged from OR = 1.71 to OR = 3.02, with ORs above 2.0 during adolescence and between 1.71 and 2.02 in adulthood.
“Effect sizes ranged from OR = 1.71 to OR = 3.02, with ORs >2.0 during adolescence and ORs between 1.71 and 2.02 in adulthood.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataIn the major depression meta-analysis, 96% of articles reported DSM major depression diagnoses or episodes and 4% reported the roughly equivalent ICD-10 depressive episode.
“For the major depression meta-analysis, all articles reported DSM major depression diagnoses or episodes (96%) or the roughly equivalent ICD-10 depressive episode (4%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe random effects variance component for the major depression meta-analysis was 0.07.
“The random effects variance component was 0.07.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe youngest age group available for the major depression analyses was 12 years old, so the emergence of the gender difference from childhood to adolescence could not be observed.
“Note that the youngest age group available for these analyses was 12 years old, making it impossible to observe the emergence of the gender difference from childhood to adolescence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataWhen outliers were removed, income category became marginally significant (QB = 3.09, p = 0.08), with smaller gender differences in high-income nations (d = 0.26) than in low- to middle-income nations (d = 0.29).
“However, when outliers were removed, the effect became marginally significant (QB = 3.09, p = 0.08) with smaller gender differences in high-income nations (d = 0.26) compared to low- to middle- income nations (d = 0.29).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe random effects variance component for the depression symptom meta-analysis was 0.02.
“The random effects variance component was 0.02.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAlthough the likelihood ratio test showed a marginal effect for the major depression meta-analysis, the weighted averages from the unadjusted model (logged OR = 0.67) and adjusted model (logged OR = 0.62) were quite similar.
“Although the LRT showed a marginal effect for the major depression meta-analysis, the weighted average from the unadjusted model (logged OR = 0.67) and the adjusted model (logged OR = 0.62) were quite similar.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe symptom studies were published between 1991 and 2016, with data collected from 1978 to 2014 in 53 countries.
“These studies were published from 1991 to 2016 and yielded data from 1978–2014 collected from 53 different countries.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 95 symptom articles provided data comprising 180 samples, 413 effect sizes, and 1,922,064 people, of whom 52% were female.
“utilized data comprising 180 samples, 413 effect sizes, and 1,922,064 people (52% female).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataBoth meta-analyses include mostly high-income countries and cover the lifespan.
“They both include mostly high-income countries and cover the lifespan.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe OR at ages 16-19 (2.69) was significantly larger than the OR at ages 20-29 (1.93), QB = 43.19, p < .001, indicating a significant decrease in the gender difference from adolescence to the 20s.
“The OR at ages 16–19 (2.69) was significantly larger than the OR for ages 20–29 (1.93), QB = 43.19, p < .001, indicating a significant decrease in the gender difference from adolescence to the 20s.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataRemoving outliers did not change the effect size estimates for depression symptoms.
“Removal of outliers did not change the estimates of effect sizes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLikelihood ratio tests comparing unadjusted and adjusted models for the major depression and depression symptom meta-analyses were not statistically significant (p = 0.073 and p = 0.3226, respectively).
“The likelihood ratio tests (LRT) comparing the unadjusted to adjusted models (using p-value cut points of 0.05, 0.01, and 0.001) for the major depression and depression symptom meta-analyses, respectively, were not statistically significant, p = 0.073 and p = 0.3226.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationThe literacy variable was not range restricted, with ratios from .31 to 1.07.
“Importantly, there was not a range restriction for the literacy variable (ratios ranged from .31 to 1.07), which can have substantial negative skew (Else-Quest & Grabe, 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Else-Quest & Grabe, 2012 source
May combine two claims.
Findingown dataFor major depression, contraceptive prevalence and literacy ratio both predicted variability in effect size.
“Contraceptive prevalence and literacy ratio both predicted variability in effect size.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe two meta-analyses differ in the distribution of nations and years of data collection.
“However, they differ in terms of the distribution of nations and year of data collection.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn the symptom meta-analysis, most effect sizes were based on the CES-D measure.
“For the symptom meta-analysis, most effect sizes were based on the C ES-D measure.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn follow-up analyses, effect sizes from gender-focused articles did not differ significantly from those focused on depression (QB = 2.22, p = 0.14) or on something other than gender or depression (QB = 0.91, p = 0.34).
“However, in follow-up analyses, effect sizes from articles that focused on gender were not significantly different than effect sizes from articles that focused on depression (QB = 2.22, p = 0.14) or something other than gender or depression (QB = 0.91, p =0.34).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe diagnosis studies were published between 1993 and 2016, with data collected from 1991 to 2014 in 75 countries.
“These studies were published from 1993 to 2016 with data from 1991–2014 collected in 75 different countries.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 65 diagnosis articles provided data comprising 149 samples, 300 effect sizes, and 1,716,195 people, of whom 53% were female.
“provided data comprising 149 samples (this number includes different countries from the same international dataset as well as different years of data collection for cross-sectional national datasets), 300 effect sizes (this number includes separate effect sizes for different age groups and ethnicities), and 1,716,195 people (53% female).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMost effect sizes in the major depression meta-analysis were 12-month major depressive episodes based on DSM-IV or DSM-IV-TR using a version of the CIDI.
“The vast majority of effect sizes for the major depression meta-analysis were 12-month major depressive episodes based on the DSM-IV or DSM-IV-TR using a version of the CIDI.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen outliers were excluded, the OR for ages 13-15 decreased from 3.02 to 2.92 and the OR for age 70+ increased from 2.02 to 2.20.
“When outliers were excluded, the age 13–15 OR decreased from 3.02 to 2.92 and the age 70+ OR increased from 2.02 to 2.20.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe depression symptom meta-analysis includes the most effect sizes from Europe (53%).
“and the depression symptom meta-analysis includes the most effect sizes from Europe (53%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor depression symptoms, effect sizes ranged from d = 0.09 to d = 0.41, peaked at ages 16-19, declined in the 20s, and remained relatively stable at about d = 0.20 thereafter.
“Effect sizes ranged from d = 0.09 to d = 0.41, peaking at ages 16–19, declining in the 20s, and staying relatively stable at roughly d = 0.20 after that.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe diagnosis meta-analysis included 65 articles and their datasets, and the symptom meta-analysis included 95 articles and their datasets.
“The final sample of studies (see Figure 1) for the meta-analyses included data from 65 (diagnosis meta-analysis) and 95 (symptom meta-analysis) articles and their corresponding data sets.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataFor depression symptoms, income inequality was a significant predictor, with larger gender differences reported in nations with low income inequality.
“Income inequality was a significant predictor of effect size, such that larger gender differences were reported in nations with low levels of income inequality.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the major depression meta-analysis, diagnostic manual, type of depression (episode versus disorder), and depression time span did not predict effect size variation.
“As shown in Table 4, manual for major depression (e.g., DSM-IV, ICD-10), type of depression (episode versus disorder) and depression time span (1 month, 6 months, 12 months, and lifetime) did not predict effect size variation.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn both meta-analyses, the gender difference in depression peaked during adolescence, then declined and remained stable in adulthood.
“For both meta-analyses, the effect size peaked in adolescence but then declined and remained stable in adulthood, a finding that has not been identified previously.”
- Also stated in: § Conclusions · boosted
“Our results provide powerful evidence that the gender difference in major depression diagnoses and depression symptoms peaks in adolescence, with the gender gap in diagnoses emerging earlier than previously thought (OR = 2.37 at age 12). The gender gap then narrows and remains stable in adulthood, a finding that has not been identified previously and has important implications for both theory and”
Quote in the paperSubstantial claim- Also stated in: § Conclusions · boosted
May combine two claims.
Findingown dataIn both meta-analyses, the gender difference declined in early adulthood and then remained relatively stable, with odds ratios between 1.71 and 2.02 and d values between 0.19 and 0.30.
“In both meta-analyses, the gender difference declined in early adulthood and then remained relatively stable, hovering between OR = 1.71 – 2.02 and d = 0.19 – 0.30.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhen expressed as Cohen's d, the effect sizes for major depression and depression symptoms are similar: d = 0.37 and d = 0.27, respectively.
“Expressed in the Cohen’s d metric, the two effect sizes are similar: d = 0.37 for major depression and d = 0.27 for depression symptoms.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn our meta-analysis, the odds ratio for ages 13-15 was 3.02 and declined to 2.69 for ages 16-19.
“The odds ratio for the 13–15 age group in our meta-analysis was already 3.02 and declined, not widened, to OR = 2.69 for ages 16–19.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCategorical year-of-data-collection estimates for major depression were: 1991-1996 = 1.84 (k = 22); 1997-2002 = 1.88 (k = 134); 2003-2008 = 1.91 (k = 59); 2009-2014 = 2.17 (k = 85).
“To better understand this pattern, we created a categorical variable for year of data collection and obtained the following effect size estimates: 1991–1996= 1.84, k = 22; 1997–2002= 1.88, k = 134; 2003–2008= 1.91, k = 59; 2009–2014 = 2.17, k = 85.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the major depression meta-analysis, the youngest age studied was 12, and the odds ratio at that age was already 2.37.
“In the major depression meta-analysis, we could not examine the emergence of the gender difference given that the youngest age in the studies was 12, when the OR was already 2.37.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAcross different subgroups, every odds ratio for major depression diagnoses exceeded 1.0 and every effect size for depression symptoms was positive.
“That is, among different subgroups, all odds ratios for diagnoses were > 1.0, and all effect sizes for symptoms were positive.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor depression symptoms, contraceptive prevalence, executive positions, and literacy ratio did not predict variation in effect size.
“Contraceptive prevalence, executive positions, and the literacy ratio did not predict variation in effect size.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn follow-up analyses excluding outliers, diagnoses using ICD were significantly smaller than those using DSM-IV/DSM-IV-TR (QB = 6.86, p < .01) and DSM-III/DSM-III-R (QB = 9.60, p < .01).
“Follow up analyses, excluding outliers, indicated that diagnoses using the ICD were significantly smaller than both diagnoses using DSM-IV/DSM-IV-TR (QB = 6.86, p < .01) and DSM-III/ DSM- III-R TR (QB = 9.60, p < .01).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the symptom meta-analysis, the gender difference was trivial at ages 8-11, then increased steeply and peaked at age 16.
“In the symptom meta-analysis, the gender difference emerged in adolescence with a trivial gender difference for ages 8–11 (see Figure 3) and then a steep increase, reaching a peak in the gender difference at age 16.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn follow-up tests, all pairwise comparisons were significantly different, with the smallest effect size for the BDI (d = 0.20) and the largest for scales other than the BDI and CES-D (d = 0.31).
“In follow-up tests, all pair-wise comparisons were significantly different from each other, such that the smallest effect size was for the BDI (d = 0.20) and the largest effect size was for scales other than the BDI and CES-D (d = 0.31).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIncome inequality had no relation to the gender effect size for diagnoses; it was negatively related for symptom measures but lost significance when outliers were excluded.
“However, there was no relation to the gender effect size for diagnoses; it was negatively related for symptom measures but lost significance when outliers were excluded.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn both the diagnosis and symptom meta-analyses, differences among U.S. ethnic groups were not significant.
“In both the diagnosis and symptom meta-analyses, differences among ethnic groups were not significant.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe symptom meta-analysis found no significant trend over time, while the diagnosis meta-analysis found a positive trend indicating growing gender differences.
“The symptom meta-analysis found no significant trend over time and the diagnosis meta-analysis found a positive trend, meaning that gender differences are growing larger.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe finding of larger gender differences in nations with greater gender equity did not replicate in the symptom meta-analysis, so caution is needed in interpreting the diagnosis findings.
“These findings of larger gender differences in nations with greater gender equity did not replicate with the meta-analysis of depression symptoms, suggesting that caution is needed in interpreting the findings for diagnoses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther studies have found smaller gender differences in nations with more gender inequality for outcomes such as self-reports of personality traits and attitudes about mathematics.
“However, other studies have found smaller gender differences in nations with more gender inequality. This pattern has been found for outcomes such as self-reports of personality traits and attitudes about mathematics”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationThat meta-analysis was limited to the Children's Depression Inventory scale and samples of 8- to 16-year-old participants in the United States and Canada, with n = 43,916.
“it was limited to the Children’s Depression Inventory (CDI; Kovacs, 1985) scale and samples of 8- to 16-year-old participants in the United States and Canada (n = 43,916).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Twenge & Nolen-Hoeksema, 2002 source
- cites Kovacs, 1985
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationSocial-structural theory predicts that larger gender differences should be observed in nations with more gender inequality.
“The theory predicts that larger gender differences should be observed in nations with more gender inequality.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Eagly & Wood, 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Wood & Eagly, 2012 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationHankin and colleagues found that the gender difference in clinical depression emerged by ages 13 to 15 and then widened between ages 15 and 18.
“Hankin and colleagues (1998) found that the gender difference in clinical depression emerged by ages 13–15 and then widened between ages 15 and 18.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hankin et al., 1998 source
Classified as probably not a substantial claim.
PremisecitationAccording to social-structural theory, a society's division of labor by gender drives all other psychological gender differences.
“According to the theory, a society’s division of labor by gender drives all other psychological gender differences.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Eagly & Wood, 1999
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Wood & Eagly, 2012 source
Classified as probably not a substantial claim.
PremisecitationDevelopmental psychopathology theories contend that multiple pathways to the gender difference in depression involve combinations and interactions of risk factors across multiple levels of analysis.
“Theories of developmental psychopathology contend that there are multiple pathways to the gender difference in depression involving combinations and interactions of risk factors that span multiple levels of analysis”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cicchetti & Rogosch, 2002 source
May combine two claims.
PremisecitationIn childhood, there is no gender difference or even a somewhat higher prevalence of depression among boys than girls.
“there is no gender difference or even a somewhat higher prevalence of depression among boys than girls in childhood”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Avenevoli et al., 2008
- cites Twenge & Nolen-Hoeksema, 2002 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEvidence for social-structural theory exists for several psychological gender differences, including mate preferences, mathematics performance, and some aspects of sexuality.
“Evidence for this theory exists for several psychological gender differences, including mate preferences, mathematics performance, and some aspects of sexuality”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTo the extent that women report higher rates of violent victimization, this may contribute to the gender difference in depression.
“To the extent that women report higher rates of violent victimization, this may contribute to the gender difference in depression”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Koss et al., 1994 source
Classified as probably not a substantial claim.
PremisecitationThe female preponderance in depression is thought to emerge by ages 13 to 15.
“The female preponderance in depression is thought to emerge by ages 13–15”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationGender inequality is linked to discrimination against women, which may contribute to the gender difference in depression.
“gender inequality is linked to discrimination against women, which may contribute to the gender difference”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Belle & Doucet, 2003 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationTheories highlight that specific vulnerability factors come online at critical developmental periods in adolescence and/or interact with stressors in adolescence to produce the gender difference in adolescence.
“Theories highlight how specific vulnerability factors come on-line at critical developmental periods in adolescence and/or interact with stressors in adolescence to produce the gender difference in adolescence”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hyde et al., 2008b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationAdolescents and adults with subthreshold depression symptoms and minor depression experience significant impairment and are at elevated risk for later major depression and suicidal behaviors.
“adolescents and adults with subthreshold depression symptoms and minor depression still experience significant impairment (e.g., Lewinsohn, Solomon, Seeley, & Zeiss, 2000) and are at elevated risk for later development of major depression and suicidal behaviors”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationThe extant literature indicates that the prevalence of major depression in the United States varies both by gender and by ethnicity.
“The extant literature indicates that the prevalence of major depression in the United States varies both by gender and by ethnicity”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Breslau et al., 2006
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne recent narrative review concluded that internalizing problems for girls increased from the late 20th century to the 21st century.
“One recent narrative review concluded that internalizing problems for girls increased from the late 20th century to the 21st century”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bor et al., 2014 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe authors followed MARS reporting standards.
“we follow MARS reporting standards”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites American Psychological Association Publications and Communications Board, 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductreasoningTo maintain independence of samples, when a sample was used in more than one article, the authors selected the article with the most complete data and/or the largest sample size.
“If a particular sample of participants was used in more than one article, which was often the case with these national datasets, to maintain independence of samples, we selected the article that had the most complete data (including information on moderator variables such as age and ethnicity) and/or the largest sample size.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningFor nationally representative longitudinal studies with multiple waves, only one wave of data was included to maintain independence of samples.
“For nationally representative longitudinal studies with multiple waves of data (e.g., Add Health), we included only one wave of data to maintain independence of samples.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataInterrater agreement was κ = .87 for type of depression diagnosis and κ = 1.00 for time span of the depression diagnosis.
“type of depression diagnosis (depressive episode versus depressive disorder), κ = .87; and (4) the time span for the depression diagnosis (current, 1 month, 6 months, 12 months, lifetime), κ = 1.00.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningAll datasets were nationally representative, which minimizes sampling bias.
“First, all datasets were nationally representative, indicating that any bias in sampling is minimized.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataFor the diagnosis meta-analysis, author-provided data were obtained for 24 of 65 articles (37%), and 167 of 300 effect sizes (56%) were based on obtained rather than published data.
“For the meta-analysis on depression diagnoses, we received data from authors for 24 (37%) of the 65 articles, such that 167 (56%) of the 300 effect sizes were based on obtained rather than published data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe intimate-partner violence and sexism ideals measures were not considered further because they were available for only a minority of effect sizes.
“Although they were theoretically interesting, the intimate-partner violence and sexism ideals measures proved unsatisfactory because they were available for only a minority of the effect sizes in analyses. Those two measures are therefore not considered further.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenData were entered into the effect size calculator by two individuals to ensure accuracy.
“Data were entered in the calculator by two individuals to ensure accuracy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataInterrater agreement for article focus was κ = .84.
“we coded the focus of the article (gender, depression, other), κ = .84.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationHedges and Nowell argued that the strongest scientific evidence about gender differences comes from larger studies based on representative samples of populations, not small convenience samples.
“They argued that the strongest scientific evidence about gender differences does not come from small studies of convenience samples, but instead comes from larger studies based on representative samples of populations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hedges & Nowell, 1995 source
Classified as probably not a substantial claim.
Study design and conductnone givenAbstracts were included only if they explicitly mentioned "nationally representative."
“We included abstracts that explicitly mentioned “nationally representative.””
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataInterrater agreement was κ = 1.0 for the type of measure used to assess depression and for the diagnostic manual used.
“the type of measure used to assess depression diagnoses (diagnostic interview; e.g., CIDI, DIS) or depression symptoms (self-report measure; e.g., CES-D, BDI), κ = 1.0; (2) the manual used to diagnose depression (DSM-IV or DSM-IV-TR5; DSM-III or DSM-III-R; or ICD-10), κ = 1.0”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataFor the symptom meta-analysis, author-provided data were obtained for 71 of 95 articles (75%), and 357 of 413 effect sizes (86%) were based on obtained data.
“For the meta-analysis on depression symptoms, we received data from authors for 71 (75%) of the 95 articles, such that 357 (86%) of the 413 effect sizes were based on obtained data.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataInterrater agreement was high for age (r = .99), country (κ = 1.00), U.S. ethnic group (κ = 1.00), and year of data collection (r = 1.00).
“age of the participants (measured on a continuous scale, using the reported mean or the midpoint of the age range), r = .99”
- Also stated in: § Coding of Studies · plain
“country, κ (kappa) = 1.00”
- Also stated in: § Coding of Studies · plain
“predominant (≥ 85%) ethnic group of participants (Caucasian, African American, Asian American, Hispanic, Native American, other, mixed, or unreported), κ = 1.00; and (d) year of data collection, r = 1.00.”
Quote in the paperNot a substantial claim- Also stated in: § Coding of Studies · plain
Classified as probably not a substantial claim. May combine two claims.
PremisecitationA meta-analysis of gender differences in self-esteem found a small difference favoring Caucasian males over Caucasian females, d = 0.20, but no gender difference for African American samples, d = −0.04.
“a meta-analysis of gender differences in self-esteem found a small difference favoring Caucasian males over Caucasian females, d = 0.20, but no gender difference for African American samples, d = −0.04”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kling et al., 1999 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe authors contacted study authors for whom email addresses could be found to obtain missing data.
“all authors of the study for whom we could find email addresses from the article, the Web directory of the authors’ academic institution, or a Google search, were contacted.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenStudies were excluded if their depression symptom measure did not meet criteria: at least 3 items, self-report, Cronbach's alpha ≥ .70 if provided, and a valid and reliable measure based on previously published research.
“Studies were excluded if their measurement of depression symptoms did not meet the following criteria: 1) minimum of 3 items; 2) self-report; 3) Cronbach’s alpha ≥.70 (if provided); and 4) valid and reliable measure of depression based on previously published research”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenStudies were excluded if they were not based on national probability sampling; only population-based surveys representative of the country were included.
“we excluded studies that were not based on national probability sampling. In other words, we included only population-based surveys representative of the country.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThirty studies were double coded to compute interrater agreement.
“We double coded 30 studies to compute interrater agreement.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningData for the economic and gender equity indicators were not available for all nations, so sample sizes varied across regression analyses depending on the indicator.
“For each of the economic and gender equity indicators, data are not available for all nations. Therefore, sample sizes vary in regression analyses, depending on the indicator.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningRaw effect sizes were corrected for small-sample bias, and most correction factors were close to 1.0 because sample sizes were large.
“Raw effect sizes were corrected for bias (i.e., the upward-bias of effect sizes among small samples; Hedges, 1981); however, most correction factors were close to 1.0 given the large sample sizes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hedges, 1981 source
May combine two claims.
Interpretationown dataBecause most studies were published on depression rather than on gender differences, publication bias favoring gender differences should not be a problem.
“This indicates that most studies were published on the basis of the work on depression and not on the basis of a gender difference, so publication bias in the direction of gender differences should not be a problem.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Hedges and Nowell strategy has been used in other meta-analyses on gender differences in cognitive abilities.
“The Hedges and Nowell strategy has since been used in other meta-analyses on gender differences in cognitive abilities”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Study design and conductnone givenStudies were excluded if their measurement of depression diagnoses did not include a diagnostic interview with the participant.
“Studies were excluded in the processing of articles if their measurement of depression diagnoses did not include a diagnostic interview with the participant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll analyses were run with the full dataset and then re-run with outliers excluded.
“All analyses were run with the full data set and then re-run excluding outliers.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningStressors tied to major life transitions are spread more evenly across adulthood, leading to more even depression rates across age for both genders and a stable gender gap.
“The result is that stressors attached to these transitions are spread out more evenly across adulthood, leading to more even rates of depression across age for both women and men, and a stable gender gap.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAlthough the range of ORs from 1.84 to 2.17 is not large, the positive relationship between year of data collection and the gender difference in major depression is clear.
“Thus, although the range of OR = 1.84 to 2.17 is not great, the positive relationship is clear.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataOur results provide powerful evidence that the gender difference in depression emerges earlier than previously thought, by at least age 12 for diagnoses and at age 12 for symptoms.
“Taken together, our results provide powerful evidence that the gender difference in depression emerges earlier than previously thought (by at least age 12 for diagnoses, at age 12 for symptoms), which has important implications for the timing of preventive interventions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationHankin and colleagues (1998) found that the gender gap in major depression emerged between ages 13 and 15 and widened between ages 15 and 18.
“These results differ from those of Hankin and colleagues (1998), who found that that the gender gap in major depression emerged between ages 13 and 15 and then widened between ages 15 and 18.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hankin and colleagues (1998)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe adult pattern is a new finding and should be robust because it comes from large-scale meta-analyses and was consistent across diagnosis and symptom measures.
“This pattern is a new finding and should be robust because it is based on large-scale meta-analyses and was consistent across both diagnosis and symptom measures.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenIndividuals high in negative affectivity and low in positive affectivity are vulnerable to later depression.
“In particular, individuals who are high in negative affectivity and low on positive affectivity are vulnerable to later depression.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningAccording to the cognitive vulnerability-stress model, the adolescent gender difference in depression may be explained by higher negative cognitive style in girls, higher stress in girls, or both.
“According to this model, the gender difference in depression in adolescence may be accounted for by (a) higher levels of negative cognitive style in girls than boys beginning in early adolescence; (b) higher levels of stress for girls than boys beginning in early adolescence; or (c) both.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataFemales consistently show higher levels of major depression and depression symptoms than males.
“This emphasizes the consistency with which females have higher levels major depression and depression symptoms than males.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne theoretical account holds that early puberty is disadvantageous for girls but not boys for outcomes such as depression.
“According to one theoretical account, early puberty is disadvantageous for girls but not boys, for outcomes such as depression (Ge, Conger, & Elder, 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ge, Conger, & Elder, 2001 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe difference between our findings and earlier meta-analytic findings may be due to more recent studies, more nations, or multiple symptom measures.
“The difference in findings may be due to the greater recency of many of our studies, the greater number of nations, or the inclusion of multiple measures of depression symptoms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDepression is a recurrent disorder.
“A third possibility results from the observation that depression is a recurrent disorder (e.g., Lewinsohn, Rohde, Seeley, Klein, & Gotlib, 2000).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lewinsohn, Rohde, Seeley, Klein, & Gotlib, 2000 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningMen may be less likely than women to develop depression, but depressed men are still distressed and impaired.
“Men may be less likely to develop depression than women; however, this does not mean that depressed men are not distressed and impaired.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataGender equity measures were missing for some nations, so the analyses did not capture patterns among all included nations.
“Second, gender equity measures were missing for some nations; thus, the analyses did not capture patterns among all nations included.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne theoretical account holds that temperament, present from infancy and early childhood, predicts later depression.
“According to one theoretical account, temperament, present from infancy and early childhood, predicts later depression (summarized by Hyde et al., 2008b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hyde et al., 2008b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn the 21st century, women make up 47% of the U.S. labor force, compared with 30% in 1950.
“For example, in the 21st century women constitute 47% of the U.S. labor force, compared to 30% in 1950 (Costello et al., 2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Costello et al., 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationNegative cognitive style may not become a stable trait until ages 9.5 to 12.5, and the cognitive vulnerability-stress interaction may not reliably predict depression until ages 13.5 to 14.5.
“Research suggests that negative cognitive style may not emerge as a stable trait until ages 9.5 to 12.5, and the cognitive vulnerability-stress interaction does not become a reliable predictor of depression until ages 13.5 to 14.5, i.e., in early adolescence (Cole et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cole et al., 2008 source
May combine two claims.
PremisecitationThe gender difference in depression is created at least in part by early-puberty girls, through processes such as encountering more peer sexual harassment than boys and on-time girls.
“Thus the gender difference in depression is created at least in part by girls who go through puberty early, because of any of several processes, such as early-puberty girls encountering more peer sexual harassment than boys and on-time girls (Lindberg, Grabe, & Hyde, 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lindberg, Grabe, & Hyde, 2007 source
May combine two claims.
PremisecitationSymptom assessments typically cover a short period such as a week, while diagnoses aggregate over longer periods such as a year.
“For example, the typical assessment of symptoms often represents a short period of time, such as a week, whereas diagnoses involve aggregation over longer periods, often a year (Haeffel et al., 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Haeffel et al., 2003 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningMost first cases of depression may occur in adolescence and then recur at variable times in adulthood because of the uneven timing of major stressors.
“As such, it may be that most first cases of depression occur in adolescence, and then recur at variable times in adulthood, as a result of the uneven timing of major stressors.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTheories guided by developmental psychopathology have focused on the emergence of the gender difference in adolescence but have not attended to development across adulthood.
“As noted earlier, theories guided by developmental psychopathology have focused on explaining the emergence of the gender difference in adolescence (summarized by Hyde et al., 2008b), but did not attend to development across adulthood.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hyde et al., 2008b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningAn odds ratio of 1.95 is a medium rather than large effect size, but it still represents a health disparity.
“An OR of 1.95 is a medium, not a large, effect size, yet it is still a health disparity.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAnother theoretical account rests on cognitive vulnerability-stress models of depression, which have been well supported in college student and adult samples.
“Another theoretical account rests on cognitive vulnerability-stress models of depression, which have been well supported in samples of college students and adults (summarized by Hyde et al., 2008b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hyde et al., 2008b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningPrevalence would remain stable across adulthood for both women and men, producing a stable gender gap created by the original adolescent gap.
“Again, prevalence would remain stable across adulthood for both women and men, leading to a stable gender gap, created by the original gender gap in adolescence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDepression is a global health priority.
“Given that depression is a global health priority (World Health Organization, 2016), it is imperative to understand disparities in depression and which subgroups are most in need of services.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites World Health Organization, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationnone givenAssuming equal numbers of males and females, an odds ratio of 2.0 can result from a 9.05% female and 4.85% male prevalence, or from an 18% female and 10.1% male prevalence.
“For example, assuming equal numbers of males and females, an OR = 2.0 can result from a 9.05% prevalence in females and a 4.85% prevalence in males, or from an 18% prevalence in females and a 10.1% prevalence in males.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationEvidence indicates high reliability between clinicians and lay interviewers; for major depressive disorder, kappa was 0.97 with 99.7% agreement.
“Results indicated high agreement between the two; for major depressive disorder, kappa = 0.97, with 99.7% agreement between the two sources (see also Brugha, Nienhuis, Bagchi, Smith, & Meltzer, 1999).”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Study design and conductnone givenThe authors made extensive efforts to obtain data for as many national data sets as possible by conducting additional computerized searches and contacting authors.
“We also made extensive efforts to obtain data for as many national data sets as possible by conducting additional computerized searches and contacting authors.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningMounting a nationally representative study is a major, costly undertaking that should almost certainly result in multiple publications, at least one in English, so such studies should have been detected.
“Moreover, mounting a study based on a nationally representative sample is a major, costly undertaking that should almost certainly result in multiple publications, at least one of them in English, so we should have detected such studies.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataGender differences were larger in nations with more gender equity, a finding consistent across three indicators.
“That is, perhaps counterintuitively, gender differences were larger in nations with more gender equity, a finding that was consistent across three indicators.”
Quote in the paperSubstantial claim- Rests on an assumption: The nation-level indicators of gender equity and national wealth validly measure those constructs.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningBecause the study focused on large nationally representative datasets, diagnostic interviews were conducted by trained lay interviewers rather than skilled clinicians, as is standard in such epidemiological studies.
“Second, focusing on large, nationally representative datasets meant that the diagnostic interviews for major depression were conducted not by skilled clinicians, but instead by trained lay interviewers, as is standard practice in these large-scale, epidemiological studies.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenBoth diagnostic measures and symptom questionnaire measures rely on self-reports from participants.
“Third, both diagnostic measures and symptom questionnaire measures rely on self-reports from participants.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome primary studies have found patterns similar to ours regarding gender differences and gender equity for outcomes such as self-construals and emotion.
“Yet, as noted in the introduction, some primary studies have found similar patterns to ours regarding gender differences and gender equity, for outcomes such as self-construals (Guimond et al., 2007) and emotion (Fischer, Rodriguez Mosquera, van Vianen, & Manstead, 2004).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationGuimond and colleagues (2007) proposed that gender differences in self-construals are larger when individuals make intergroup social comparisons.
“Guimond and colleagues (2007) proposed that gender differences in self-construals are larger in contexts in which individuals make intergroup social comparisons, e.g., when they compare themselves to an out-group such as the other gender.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Guimond and colleagues (2007)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThese results suggest that women worldwide are at significantly greater risk of depression diagnoses and symptoms than men, and that adolescent girls are at greatest risk.
“These results suggest that women are at significantly greater risk of depression diagnoses and symptoms compared to men worldwide, and that adolescent girls are at the greatest risk.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataBy synthesizing nationally representative studies with over 1.7 million participants each, the two meta-analyses provide a comprehensive quantitative review of gender differences in major depression diagnoses and depression symptoms across the lifespan.
“By synthesizing nationally representative studies with data from over 1.7 million participants spanning the globe in each of the two meta-analyses, we have provided a comprehensive quantitative review of data on gender differences in major depression diagnoses and depression symptoms across the lifespan.”
Quote in the paperSubstantial claim- Rests on an assumption: The nationally representative samples included in the meta-analyses accurately represent their target national populations.
May combine two claims.
InterpretationreasoningIn higher gender-equity nations, where males and females interact more, intergroup comparisons are likelier, leading to larger gender differences.
“It is precisely in higher gender-equity nations, where males and females interact more (e.g., girls are more literate because they have more equal access to schooling with boys), that intergroup comparisons are likelier, leading to larger gender differences.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe database search included only articles in English.
“Fourth, our database search included only articles in English.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe ethnic-group analyses were based on small numbers of studies, so power to detect ethnic-group differences was limited.
“These analyses, however, were based on small numbers of studies. Therefore, power to detect ethnic-group differences was limited.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationIn low-gender-equity nations, intergroup interactions are often restricted, and gender differences on variables such as depression are smaller because comparisons are mostly intragroup.
“In low-gender-equity nations, intergroup interactions are often greatly restricted, and gender differences on a variable such as depression are smaller due to mostly intragroup comparisons.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe authors did not have sufficient data to examine gender differences in major depression for children younger than age 12, and had only 2 samples for age 12, even though the minimum age criterion was 7.
“First, we did not have sufficient data to examine gender differences in major depression for children younger than age 12 (and we had only 2 samples for age 12), even though the minimum age criterion was 7.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningIf there are gender differences in willingness to disclose symptoms, then the resulting data may be biased.
“If there are gender differences in willingness to disclose symptoms, then the resulting data may be biased.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe difference between the high-income and other-nation odds ratios is small, with overlapping 95% confidence intervals, suggesting it is not a major effect.
“However, the difference between these odds ratios is small, and the 95% confidence intervals overlap, suggesting that this difference is not a major effect.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationOne early review concluded that the gender difference in depression is a real difference and not a measurement artifact.
“One early review concluded that the gender difference in depression is a real difference and not a measurement artifact (Weissman & Klerman, 1977).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Weissman & Klerman, 1977
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningThe authors believe that the English-only search did not lead to the omission of nations in which English is not the predominant language, for two reasons.
“We believe that this did not lead to the omission of nations in which English is not the predominant language for two reasons.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationDepression is a recurring disorder, so an episode in adolescence can predispose an individual to later episodes.
“The emphasis on adolescents is particularly important because depression is a recurring disorder, so an episode in adolescence can predispose the individual to later episodes (e.g., Lewinsohn, Rohde, Seeley, Klein, & Gotlib, 2000).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lewinsohn, Rohde, Seeley, Klein, & Gotlib, 2000 source
May combine two claims.
InterpretationreasoningThe gender difference in depression is a major health disparity, especially in adolescence, but the magnitude of the difference indicates that depression in males should not be overlooked.
“The gender difference in depression represents a major health disparity, especially in adolescence, yet the magnitude of the difference indicates that depression in males should not be overlooked.”
Quote in the paperSubstantial claimNot yet classified.
Study design and conductOverall, 76% of symptom effect sizes and 56% of diagnosis effect sizes were based on data supplied by researchers rather than published articles, reducing concerns about publication bias.
“Overall, 76% of the effect sizes for the symptom meta-analysis and 56% of the effect sizes for the diagnosis meta-analysis were based on data supplied by researchers, and not published in articles, reducing concerns about publication bias.”
Quote in the paperNot yet classified
The paper relies on this without support.
The existing literature on gender differences in depression had not been meta-analytically synthesized before this study.
“this large body of sometimes inconsistent research has yet to be synthesized meta-analytically.”
The authors state this as an assumption.
The domain-specific gender equity indicators chosen are theoretically linked to gender differences in depression.
“We selected domain-specific indicators of gender equity (rather than composite indicators) that should, theoretically, be tied to gender differences in depression”
The authors state this as an assumption.
The mixed-effects model used for moderator analyses assumes that variability among effect sizes beyond subject-level sampling error has both systematic components (accounted for by moderator variables) and random components (error variance).
“The mixed-effects model assumes that variability among effects sizes beyond subject-level sampling error has both systematic components (accounted for by moderator variables) and random components (i.e., error variance).”
The paper relies on this without support.
The nationally representative samples included in the meta-analyses accurately represent their target national populations.
“By synthesizing nationally representative studies with data from over 1.7 million participants spanning the globe in each of the two meta-analyses, we have provided a comprehensive quantitative review of data on gender differences in major depression diagnoses and depression symptoms across the lifespan.”
The paper relies on this without support.
The nation-level indicators of gender equity and national wealth validly measure those constructs.
“For major depression diagnoses, variability in the gender difference in depression was linked to measures of national wealth and gender equity.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Women are more likely than males to experience recurring MDD and are twice as likely to experience MDD throughout their lifetimes.
“Women are more likely than males to experience recurring MDD 445 and are twice as likely to experience MDD throughout their lifetimes. 446”
From Major depressive disorder: hypothesis, mechanism, prevention and treatment (2024) · cites this paper as [446]
The Results (Magnitude of the Gender Difference in Depression) report higher odds of major-depression diagnoses for females (OR = 1.95), and Results (Additional Moderators) say the gender difference did not vary significantly by diagnostic time span, including lifetime. The Discussion (Developmental Pattern) describes depression as recurrent in both women and men, but does not establish that women are more likely than men to experience recurrence. The paper also notes that the roughly twofold gender difference is an average, not universal. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe risk of certain mental health problems such as depression, self-harm, and eating disorders is higher in adolescent females than in males.
“and the risk of certain mental health problems such as depression, self-harm, and eating disorders is higher in adolescent females than in males27.”
From Windows of developmental sensitivity to social media (2022) · cites this paper as [27]
The Discussion’s Developmental Pattern section reports that the gender difference in depression peaks in adolescence, supporting the depression portion of the claim. The paper does not establish that adolescent females have higher risks of self-harm or eating disorders than males; its Background mentions suicidal behaviors only as a possible later risk associated with subthreshold depression. (LLM, conf=0.90)
Experimental — accuracy not yet measuredIn old analyses, females have more symptoms, diagnoses, or feelings of depression in countries with higher living conditions.
“Considering studies from only the old analyses, we found that females have more symptoms, diagnoses, or feelings of depression in countries with higher living conditions (Hopcroft & Bradley, 2007; Hopcroft & McLaughlin, 2012; Salk et al., 2017; Seedat et al., 2009; Van de Velde et al., 2013; Wang et al., 2016).”
From A Systematic Review and New Analyses of the Gender-Equality Paradox (2025) · cites this paper as Salk et al., 2017
In Results, under “Nation-level economic indicators” (page not provided), the paper reports a larger female–male difference in major-depression diagnoses in high-income countries. It does not support the same pattern for symptoms: income category was not a significant predictor, and an outlier-sensitive analysis suggested a slightly smaller difference in high-income countries. The quoted passage does not establish a separate finding about feelings of depression. (LLM, conf=0.90)
Experimental — accuracy not yet measuredFemales have higher rates of depression than males in most studies, with SMDs of 0.19-0.38.
“As has often been reported, females have in most studies been found to have higher rates of Depression (SMDs = 0.19–0.38; Hopcroft & Bradley, 2007; Hopcroft & McLaughlin, 2012; Salk et al., 2017; Seedat et al., 2009; Van de Velde et al., 2013; Wang et al., 2016).”
From A Systematic Review and New Analyses of the Gender-Equality Paradox (2025) · cites this paper as Salk et al., 2017
Sex and sedentary screen time are associated with depression symptoms.
“Given the well-established associations of sex and sedentary screen time with depression symptoms, 43,44”
From Associations of time spent on homework or studying with nocturnal sleep behavior and depression symptoms in adolescents from Singapore (2020) · cites this paper as [44]
Even in clinical trials, there is a variability in how the different levels of severity of depression are defined.
“Even in clinical trials, there is a variability in how the different levels of severity of depression are defined. 66,67”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [66]
Adolescence is a period of significant vulnerability to the emergence of mental health disorders, particularly internalizing (mood and anxiety) disorders, especially in girls.
“Adolescence is a period of significant vulnerability to the emergence of mental health disorders.(1) In particular, it is a critical window for the emergence of internalizing (i.e., mood and anxiety) disorders, especially in girls.(2,3)”
From Puberty Initiates Cascading Relationships Between Neurodevelopmental, Social, and Internalizing Processes Across Adolescence (2021) · cites this paper as [2]
During adolescence, girls' risk for depression rises to double or more than that of boys, a disparity that peaks in mid-late adolescence and persists across most of the remaining lifespan.
“Meta-analyses show that during adolescence, girls’ risk for depression rises to double or more than that of boys -- a disparity in both symptoms and diagnoses that peaks in mid-late adolescence, and persists across most of the remaining lifespan (for a recent multinational meta-analysis, see (2)).”
From Puberty Initiates Cascading Relationships Between Neurodevelopmental, Social, and Internalizing Processes Across Adolescence (2021) · cites this paper as [2]
Rates of adolescent-emergent mental health problems (depressive and anxiety disorders, NSSI, and suicidal thoughts and behaviors) have been increasing worldwide, especially over the past decade, and most notably amongst girls.
“Layered atop these well-known developmental trajectories, a series of new findings indicate that rates of these adolescent-emergent mental health problems (depressive and anxiety disorders, NSSI, and suicidal thoughts and behaviors) have been increasing worldwide -- especially over the past decade, and most notably amongst girls.(2,20–23)”
From Puberty Initiates Cascading Relationships Between Neurodevelopmental, Social, and Internalizing Processes Across Adolescence (2021) · cites this paper as [2]
The relationship between age and the prevalence of depressive symptoms might vary depending on depression severity.
“It should also be highlighted that the relationship between age and the prevalence of depressive symptoms might vary depending on depression severity (Salk et al., 2017).”
From Prevalence and age patterns of depression in the United Kingdom. A population-based study (2021) · cites this paper as Salk et al., 2017
The mild depressive symptoms category is under the cut-off value of 10 or higher consistently proposed to determine the presence of depression using the PHQ-8 and therefore could be indicative of subclinical depression or depressive mood.
“The mild depressive symptoms category is under the cut-off value (10+) consistently proposed to determine the presence of depression using the PHQ-8 and, therefore, could be indicative of subclinical depression or depressive mood (Levis et al., 2019;Moriarty et al., 2015;Salk et al., 2017).”
From Prevalence and age patterns of depression in the United Kingdom. A population-based study (2021) · cites this paper as Salk et al., 2017
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentt(299) = 1961.63reported p < .001 · recomputed p < .001
“t(299) = 1961.63, p < .001”
- Consistentt(412) = 9542.5reported p < .001 · recomputed p < .001
“t(412) = 9542.50, p < .001”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conflicting percentages for researcher-supplied symptom data
MinorThe results state that 357 of 413 symptom effect sizes (86%) came from data obtained from authors, but the limitations section gives 76% for the same category.
“357 (86%) of the 413 effect sizes were based on obtained data.”
“Overall, 76% of the effect sizes for the symptom meta-analysis and 56% of the effect sizes for the diagnosis meta-analysis were based on data supplied by researchers, and not published in articles, reducing concerns about publication bias.”
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InfluentialAvenevoli, S., Swendsen, J., He, J.-P., Burstein, M., & Merikangas, K. R. (2015) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2014.10.010 · Cited by 1,202 · cited 7× · see citing works
“…2002 13 National Comorbidity Survey- Adolescent Supplement (NCS- A) 1 2 1 3 Avenevoli et al. (2015)a 5.50 U.S. 1,088 1,130 WMH-CIDI 2002 14 NCS- A 1 2 1 3 Avenevoli et al. (2015)a 2.57 U.S. 883 1,004 WMH-CIDI 2002 15 NCS- A 1 2 1 3 Avenevoli et al. (2015)a 2.44 U.S. 966 1,044 WMH-CIDI 2002 16…”
InfluentialGender differences in temperament: A meta-analysis.
Else-Quest, N. M., Hyde, J. S., Goldsmith, H. H., & Van Hulle, C. A. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.1.33 · Cited by 1,169 · see citing works
Self-citationHyde, J. S., Mezulis, A. H., & Abramson, L. Y. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.291 · Cited by 1,146 · cited 1× · see citing works
“Theories highlight how specific vulnerability factors come online at critical developmental periods in adolescence and/or interact with stressors in adolescence to produce the gender difference in adolescence (reviewed by Hyde et al., 2008b).”
Self-citationBeekman, A. T. F., Deeg, D. J. H., van Limbeek, J., Braam, A. W., VRIES, M. Z. D., & van Tilburg, W. (1997) · Psychological Medicine · doi:10.1017/s0033291796003510 · Cited by 1,135 · cited 1× · see citing works
“Numerous validation studies are available; in one, the CES-D had a sensitivity of 100% and a specificity of 88% for 1-month major depression diagnoses (Beekman et al., 1997).”
Sex Differences in Mental Test Scores, Variability, and Numbers of High-Scoring Individuals
Hedges, L. V., & Nowell, A. (1995) · Science · doi:10.1126/science.7604277 · Cited by 1,112 · cited 1× · see citing works
“Sampling Issues The current set of meta-analyses synthesized data from representative samples, based on an approach pioneered by Hedges and Nowell (1995).”
The Origins of Sex Differences in Human Behavior: Evolved Dispositions versus Social Roles
(2003) · The MIT Press eBooks · doi:10.7551/mitpress/2874.003.0015 · Cited by 1,080 · see citing works
Twenge, J. M., & Nolen-Hoeksema, S. (2002) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.111.4.578 · Cited by 1,080 · cited 3× · see citing works
“One meta-analysis reported effect sizes ranging from d 0.06 at age 12 to d 0.22 at ages 14 and 15 (positive values indicate more depression symptoms among girls; Twenge & Nolen-Hoeksema, 2002).”
InfluentialIssues and recommendations regarding use of the Beck Depression Inventory
Kendall, P. C., Hollon, S. D., Beck, A. T., Hammen, C. L., & Ingram, R. E. (1987) · Cognitive Therapy and Research · doi:10.1007/bf01186280 · Cited by 1,069 · see citing works
Andrade, L., Caraveo‐anduaga, J. J., Berglund, P., Bijl, R. V., Graaf, R. D., Vollebergh, W., Dragomirecka, E., Kohn, R., Keller, M., Kessler, R. C., et al. (2003) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.138 · Cited by 1,068 · cited 3× · see citing works
“adults, women have higher rates of major depression compared with men; on average, the ratio is 2:1 (Andrade et al., 2003; Bromet et al., 2011).”
InfluentialGender similarities characterize math performance
Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008) · Science · doi:10.1126/science.1160364 · Cited by 1,054 · cited 1× · see citing works
“Theories highlight how specific vulnerability factors come online at critical developmental periods in adolescence and/or interact with stressors in adolescence to produce the gender difference in adolescence (reviewed by Hyde et al., 2008b).”
Self-citationBech, P., Rasmussen, N.-A., Olsen, L. R., Noerholm, V., & Abildgaard, W. (2001) · Journal of Affective Disorders · doi:10.1016/s0165-0327(00)00309-8 · Cited by 975 · cited 2× · see citing works
“…(Beck et al., 1961, 1996); DMI Depressive Mood Inventory (see Abebe et al., 2016); CDI Children’s Depression Inventory (Kovacs, 1985); MDI Major Depression Inventory (Bech et al., 2001); DTS Depressive Tendencies Scale (Alsaker et al., 1991); HDL-D Health and Daily Living Form- Depression…”
Andrews, G., Henderson, S., & Hall, W. (2001) · British Journal of Psychiatry · doi:10.1192/bjp.178.2.145 · Cited by 933 · cited 8× · see citing works
“…et al. (2001)a 1.69 Australia 815 1,017 CIDI 2.1 1997 45–54 NSMHWB 3 1 3 Andrews et al. (2001)a 2.14 Australia 627 652 CIDI 2.1 1997 55–64 NSMHWB 3 1 3 Andrews et al. (2001)a 2.78 Australia 731 1,061 CIDI 2.1 1997 65 NSMHWB 3 1 3 Arokiasamy et al. (2013) 1.41 India 1,042 3,620 CIDI 2008 18–49…”
InfluentialA meta-analytic review of research on gender differences in sexuality, 1993–2007.
Petersen, J. L., & Hyde, J. S. (2010) · Psychological Bulletin · doi:10.1037/a0017504 · Cited by 931 · cited 1× · see citing works
“Evidence for this theory exists for several psychological gender differences, including mate preferences, mathematics performance, and some aspects of sexuality (Eagly & Wood, 1999; Else-Quest, Hyde, & Linn, 2010; Petersen & Hyde, 2010; Zentner & Mitura, 2012).”
Self-citationNew trends in gender and mathematics performance: A meta-analysis.
Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010) · Psychological Bulletin · doi:10.1037/a0021276 · Cited by 920 · see citing works
Self-citationPrince, M. J., Reischies, F. M., Beekman, A. T. F., Fuhrer, R., Jonker, C., Kivelä, S., LAWLOR, B. A., Lobo, A., Magnússon, H., Fichter, M. M., et al. (1999) · The British Journal of Psychiatry · doi:10.1192/bjp.174.4.330 · Cited by 889 · cited 5× · see citing works
“Study d Country NM NF Measure Year Age Sample E F Aalto et al. (2012)a .27 Finland 326 371 BDI 2001 30–34 Health 2000 2 Aalto et al. (2012)a .29 Finland 353 388 BDI 2001 35–39 Health 2000 2 Aalto et al. (2012)a .14 Finland 341 381 BDI 2001 40–44 Health 2000 2 Aalto et al. (2012)a .10 Finland 379 435 BDI 2001 45–49 Hea…”
InfluentialLuppa, M., Sikorski, C., Luck, T., Ehreke, L., Konnopka, A., Wiese, B., Weyerer, S., König, H.-H., & Riedel-Heller, S. G. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2010.11.033 · Cited by 855 · cited 1× · see citing works
“A meta-analysis of 24 studies among individuals ages 75 and older reported gender ratios between 1.4 and 2.2 (Luppa et al., 2012).”
InfluentialAre child and adolescent mental health problems increasing in the 21st century? A systematic review
Bor, W., Dean, A. J., Najman, J., & Hayatbakhsh, R. (2014) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867414533834 · Cited by 853 · see citing works
Kuehner, C. (2003) · Acta Psychiatrica Scandinavica · doi:10.1034/j.1600-0447.2003.00204.x · Cited by 839 · cited 1× · see citing works
“Following this landmark article, there was a proliferation of research and theories on gender differences in depression (Bebbington, 1996; Kuehner, 2003; Nolen-Hoeksema, 1987; Piccinelli & Wilkinson, 2000; Weissman & Klerman, 1977; for an overview of explanatory models, see Hammarström, Lehti,…”
Wittchen, H.-U., Robins, L. N., Cottler, L. B., Sartorius, N., Burke, J. D., Regier, D., & Trials, P. I. T. M. W. F. (1991) · British Journal of Psychiatry · doi:10.1192/bjp.159.5.645 · Cited by 833 · cited 1× · see citing works
“For example, in one methodological study, participants were given diagnostic interviews separately by a clinician and a highly trained nonclinician (Wittchen et al., 1991).”
2007 National Survey of Mental Health and Wellbeing: Methods and Key Findings
Slade, T., Johnston, A., Oakley Browne, M. A., Andrews, G., & Whiteford, H. (2009) · Australian & New Zealand Journal of Psychiatry · doi:10.1080/00048670902970882 · Cited by 832 · see citing works
Subthreshold Depression in Adolescence and Mental Health Outcomes in Adulthood
Fergusson, D. M., Horwood, L. J., Ridder, E. M., & Beautrais, A. L. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.1.66 · Cited by 792 · see citing works
Ge, X., Conger, R. D., & Elder, G. H. (2001) · Developmental Psychology · doi:10.1037//0012-1649.37.3.404 · Cited by 788 · see citing works
Biosocial construction of sex differences and similarities in behavior
Wood, W., & Eagly, A. H. (2012) · Advances in experimental social psychology · doi:10.1016/b978-0-12-394281-4.00002-7 · Cited by 770 · cited 2× · see citing works
“Eagly and Wood’s social-structural theory (Eagly & Wood, 1999; Wood & Eagly, 2012) also provides a framework for un- derstanding the relationship between gender inequality and the magnitude of psychological gender differences.”
de Velde, S. V. V., Bracke, P., & Levecque, K. (2010) · Social Science & Medicine (1967) · doi:10.1016/j.socscimed.2010.03.035 · Cited by 765 · cited 23× · see citing works
“…994 1,395 CES-D 2007 15–99 ESS-3 1 Van de Velde et al. (2010)a .28 Sweden 948 973 CES-D 2007 15–99 ESS-3 1 Van de Velde et al. (2010)a .23 Slovenia 665 807 CES-D 2007 15–99 ESS-3 1 Van de Velde et al. (2010)a .13 Slovakia 839 895 CES-D 2007 15–99 ESS-3 1 Van de Velde et al. (2010)a .21 Ukraine…”
InfluentialKocalevent, R.-D., Hinz, A., & Brähler, E. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.04.006 · Cited by 748 · cited 19× · see citing works
“Study d Country NM NF Measure Year Age Sample E F Aalto et al. (2012)a .27 Finland 326 371 BDI 2001 30–34 Health 2000 2 Aalto et al. (2012)a .29 Finland 353 388 BDI 2001 35–39 Health 2000 2 Aalto et al. (2012)a .14 Finland 341 381 BDI 2001 40–44 Health 2000 2 Aalto et al. (2012)a .10 Finland 379 435 BDI 2001 45–49 Hea…”
InfluentialThe WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders
Kessler, R. C., & Üstün, T. B. (2008) · Cited by 747 · see citing works
The power of statistical tests for moderators in meta-analysis
Hedges, L. V., & Pigott, T. D. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.4.426 · Cited by 672 · cited 1× · see citing works
“However, significance tests for moderators in metaanalysis tend to have low statistical power (Hedges & Pigott, 2004), which would especially be the case for age 12 when only two effect sizes were available.”
Markon, K. E., Chmielewski, M., & Miller, C. J. (2011) · Psychological Bulletin · doi:10.1037/a0023678 · Cited by 656 · see citing works
Lifetime risk and persistence of psychiatric disorders across ethnic groups in the United States
BRESLAU, J., KENDLER, K. S., SU, M., GAXIOLA-AGUILAR, S., & KESSLER, R. C. (2005) · Psychological Medicine · doi:10.1017/s0033291704003514 · Cited by 642 · cited 1× · see citing works
“The limited research on ethnicity, gender, and depression in the United States does not indicate variation by ethnicity in the gender difference in depression (Barnes, Keyes, & Bates, 2013; Breslau et al., 2005; Oquendo et al., 2001; Siegel, Aneshensel, Taub, Cantwell, & Driscoll, 1998).”
Gender differences in depression
Angst, J., Gamma, A., Gastpar, M., L�pine, J.-P., Mendlewicz, J., & Tylee, A. (2002) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-002-0381-6 · Cited by 629 · cited 1× · see citing works
“The limited findings in adulthood are inconsistent with respect to both the magnitude and direction of the gender difference in depression (Angst et al., 2002; Bebbington et al., 1998; Mirowsky, 1996; Oksuzyan et al., 2010; Patten et al., 2016).”
No safe haven: Male violence against women at home, at work, and in the community.
Koss, M. P., Goodman, L. A., Browne, A., Fitzgerald, L. F., Keita, G. P., & Russo, N. F. (1994) · doi:10.1037/10156-000 · Cited by 617 · see citing works
Reporting standards for research in psychology: why do we need them? What might they be?
APA Publications and Communications Board Working Group on Journal Article Reporting Standards (2008) · American Psychologist · doi:10.1037/0003-066x.63.9.839 · Cited by 571 · see citing works
Kessler, R. C., Birnbaum, H., Bromet, E., Hwang, I., Sampson, N., & Shahly, V. (2010) · Psychological Medicine · doi:10.1017/s0033291709990213 · Cited by 542 · cited 25× · see citing works
“Categorical moderators OR d 95% CI k Qbetween Qwithin Age group (in years) 184a 122.54 231.75 12 2.37 .48 [1.68, 3.37] 2 .38 13–15 3.02 .61 [2.76, 3.30] 24 43.13 16–19 2.69 .55 [2.39, 3.03] 17 14.54 20–29 1.93 .36 [1.76, 2.12] 26 23.43 30–39 1.83 .33 [1.65, 2.03] 20 15.89 40–49 1.71 .30 [1.56, 1.87] 29 28.04 50–59 1.8…”
InfluentialWade, T. J., Cairney, J., & Pevalin, D. J. (2002) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200202000-00013 · Cited by 527 · see citing works
Gender differences in health: results from SHARE, ELSA and HRS
Crimmins, E. M., Kim, J. K., & Solé-Auró, A. (2010) · European Journal of Public Health · doi:10.1093/eurpub/ckq022 · Cited by 525 · see citing works
Gender and Culture Differences in Emotion.
Fischer, A. H., Rodriguez Mosquera, P. M., van Vianen, A. E. M., & Manstead, A. S. R. (2004) · Emotion · doi:10.1037/1528-3542.4.1.87 · Cited by 521 · see citing works
Immigration-Related Factors and Mental Disorders Among Asian Americans
Takeuchi, D. T., Zane, N. W. S., Hong, S., Chae, D. H., Gong, F., Gee, G. C., Walton, E. C., Sue, S., & Alegria, M. M. (2006) · American Journal of Public Health · doi:10.2105/ajph.2006.088401 · Cited by 516 · cited 1× · see citing works
“…Thai National Mental Health survey 2 1 4 Suttajit et al. (2012)a 1.57 Thailand 2,875 2,968 MINI 2008 45–59 Thai National Mental Health survey 2 1 4 Takeuchi et al. (2007)a .81 U.S. 998 1,097 WMH-CIDI 2003 18 National Latino & Asian American Study (NLAAS) 4 2 1 3 Toussaint et al. (2008)a 2.57…”
InfluentialBrückner, H., & Mayer, K. U. (2005) · Advances in Life Course Research · doi:10.1016/s1040-2608(04)09002-1 · Cited by 508 · see citing works
The prevalence of perceived discrimination among African American and Caribbean Black youth.
Seaton, E. K., Caldwell, C. H., Sellers, R. M., & Jackson, J. S. (2008) · Developmental Psychology · doi:10.1037/a0012747 · Cited by 506 · cited 1× · see citing works
“…BDI 2012 55–64 Finrisk-2012 3 Sandman et al. (2015)a .16 Finland 613 592 BDI 2012 65–74 Finrisk-2012 3 Scafato et al. (2012)a .56 Italy 1,713 1,501 GDS 1993 65–84 Italian Longitudinal Study on Aging 2 Seaton et al. (2008) .02 U.S. 563 605 CES-D 2002 13–17 National Survey of African Life 3 2…”
Clinical implications of "subthreshold" depressive symptoms.
Lewinsohn, P. M., Solomon, A., Seeley, J. R., & Zeiss, A. (2000) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.109.2.345 · Cited by 503 · see citing works
Depression as an Antecedent to Heart Disease Among Women and Men in the NHANES I Study
Ferketich, A. K., Schwartzbaum, J., Frid, D. J., & Moeschberger, M. L. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.9.1261 · Cited by 490 · cited 2× · see citing works
“T hi s ar tic le is in te nd ed so le ly fo r th e pe rs on al us e of th e in di vi du al us er an d is no t to be di ss em in at ed br oa dl y. Table 2 (continued) Study d Country NM NF Measure Year Age Sample E F Dooley et al. (2015)a .43 Ireland 371 368 DASS-D 2011 17 My World Survey 2 Dooley et al. (2015)a .27 Ir…”
Lépine, J., Gastpar, M., Mendlewicz, J., & Tylee, A. (1997) · International Clinical Psychopharmacology · doi:10.1097/00004850-199701000-00003 · Cited by 482 · see citing works
Lei, X., Sun, X., Strauss, J. A., Zhang, P., & Zhao, Y. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.09.028 · Cited by 480 · cited 16× · see citing works
“…General Social Survey 2 Lei et al. (2014) .20 China 1,285 1,740 CES-D 2012 45–49 China Health & Retirement Longitudinal Study (CHARLS) 2 Lei et al. (2014) .24 China 1,050 1,182 CES-D 2012 50–54 CHARLS 2 Lei et al. (2014) .26 China 1,484 1,591 CES-D 2012 55–59 CHARLS 2 Lei et al. (2014) .31 China…”
InfluentialPoverty and women's mental health.
Belle, D. E. (1990) · American Psychologist · doi:10.1037/0003-066x.45.3.385 · Cited by 468 · cited 1× · see citing works
“Because of the feminization of poverty (Belle, 1990; Belle & Doucet, 2003), and the link between poverty and depression, gender differences might also be linked to income inequality and a national’s overall wealth.”
Publication Bias in Research Synthesis: Sensitivity Analysis Using A Priori Weight Functions.
Vevea, J. L., & Woods, C. M. (2005) · Psychological Methods · doi:10.1037/1082-989x.10.4.428 · Cited by 461 · see citing works
Wichstrøm, L. (1999) · Developmental Psychology · doi:10.1037/0012-1649.35.1.232 · Cited by 459 · see citing works
Lewinsohn, P. M., Rohde, P., Seeley, J. R., Klein, D. N., & Gotlib, I. H. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.10.1584 · Cited by 458 · see citing works
Poverty, Inequality, and Discrimination as Sources of Depression Among U.S. Women
Belle, D., & Doucet, J. (2003) · Psychology of Women Quarterly · doi:10.1111/1471-6402.00090 · Cited by 440 · cited 2× · see citing works
“Because of the feminization of poverty (Belle, 1990; Belle & Doucet, 2003), and the link between poverty and depression, gender differences might also be linked to income inequality and a national’s overall wealth.”
Klomek, A. B., Sourander, A., Niemelä, S., Kumpulainen, K., Piha, J., Tamminen, T., Almqvist, F., & Gould, M. S. (2009) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318196b91f · Cited by 440 · cited 1× · see citing works
“…152 BDI 2012 65 TAPES Study 1 Kim (2016) .30 South Korea 1,137 1,256 — 2003 13–14 Korea Youth Panel Survey 3 Kliem et al. (2014)a .03 Germany 2,106 2,374 BDI 2012 14–91 — 2 Klomek et al. (2009)a .16 Finland 2,651 2,583 CDI 1989 8 — 2 Kocalevent et al. (2013) .12 Germany 292 272 PHQ-9 2006 14–24 —…”
Intersectionality in Quantitative Psychological Research
Else-Quest, N. M., & Hyde, J. S. (2016) · Psychology of Women Quarterly · doi:10.1177/0361684316629797 · Cited by 430 · cited 2× · see citing works
“The importance of this question is highlighted in intersectionality theory, which emphasizes that all people belong to multiple social categories and that these categories are intertwined (Cole, 2009; Else-Quest & Hyde, 2016a).”
Self-citationDepression and body mass index, a u-shaped association
de Wit, L. M., van Straten, A., van Herten, M., Penninx, B. W. J. H., & Cuijpers, P. J. (2009) · BMC Public Health · doi:10.1186/1471-2458-9-14 · Cited by 419 · cited 11× · see citing works
“Study d Country NM NF Measure Year Age Sample E F Aalto et al. (2012)a .27 Finland 326 371 BDI 2001 30–34 Health 2000 2 Aalto et al. (2012)a .29 Finland 353 388 BDI 2001 35–39 Health 2000 2 Aalto et al. (2012)a .14 Finland 341 381 BDI 2001 40–44 Health 2000 2 Aalto et al. (2012)a .10 Finland 379 435 BDI 2001 45–49 Hea…”
InfluentialWeight-Related Behaviors Among Adolescent Girls and Boys
Neumark‐Sztainer, D., & Hannan, P. J. (2000) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpedi.154.6.569 · Cited by 415 · see citing works
Alaimo, K., Olson, C. M., & Frongillo, E. A. (2002) · The Journal of Nutrition · doi:10.1093/jn/132.4.719 · Cited by 410 · cited 1× · see citing works
“Study OR Country NM NF Interview Year Age Sample E F M T Alaimo et al. (2002) 2.38 U.S. 365 389 DIS 1991 15–16 Third National Health and Nutrition Examination Survey (NHANES III) 1 1 2 4 Andrews et al. (2001)a 2.40 Australia 461 608 CIDI 2.1 1997 18–24 Australian National Survey of Mental Health &…”
InfluentialPirkola, S. P., Isometsä, E. T., Suvisaari, J., Aro, H. M., Joukamaa, M. I., Poikolainen, K., Koskinen, S. V. P., Aromaa, A., & nnqvist, J. L. (2004) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-005-0848-7 · Cited by 410 · cited 4× · see citing works
“…Health, 2000 2 1 3 Pirkola et al. (2005) 1.62 Finland 768 812 CIDI 2001 45–54 Health, 2000 2 1 3 Pirkola et al. (2005) 2.10 Finland 486 563 CIDI 2001 55–64 Health, 2000 2 1 3 Pirkola et al. (2005) 2.49 Finland 511 788 CIDI 2001 65 Health, 2000 2 1 3 Rafful et al. (2012) 1.65 Mexico 842 1,218…”
InfluentialThe Changing Rate of Major Depression
Weissman, M. M. (1992) · JAMA · doi:10.1001/jama.1992.03490210080039 · Cited by 408 · cited 1× · see citing works
“The OR for the 13–15 age group in our meta-analysis was already 3.02 and declined, not widened, to OR 2.69 for ages 16 –19. In the symptom meta-analysis, the gender difference emerged in adolescence with a trivial gender difference for ages 8 –11 (see Figure 3) and then a steep increase, reaching a peak in the gender…”
InfluentialIntersectionality in Quantitative Psychological Research
Else-Quest, N. M., & Hyde, J. S. (2016) · Psychology of Women Quarterly · doi:10.1177/0361684316647953 · Cited by 401 · cited 3× · see citing works
“, Else-Quest et al., 2010; Zentner & Mitura, 2012). It is in the domain of subjective self-ratings that gender differences are larger in more equitable nations (Wood & Eagly, 2012). Such judgments about the self require participants to construct estimates about the self. Guimond and colleagues (2007) proposed that gen…”
Self-citationMcShane, B. B., Böckenholt, U., & Hansen, K. T. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616662243 · Cited by 398 · see citing works
de Graaf, R., ten Have, M., van Gool, C., & van Dorsselaer, S. (2012) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-010-0334-8 · Cited by 390 · cited 1× · see citing works
“…CIDI-SF 1999 18 National Health Interview Survey 3 2 1 3 Danielson et al. (2005) 1.98 U.S. 2,020 2,003 NSA interview 1995 12–17 National Survey of Adolescents (NSA) 1 2 1 3 de Graaf et al. (2012) 1.57 Netherlands 2,977 3,669 WMH-CIDI 2008 18–64 NEMESIS II 2 1 3 Farbstein et al. (2010) 2.55…”
InfluentialCuijpers, P. J. (2002) · Journal of Affective Disorders · doi:10.1016/s0165-0327(02)00348-8 · Cited by 369 · see citing works
Culture, gender, and the self: Variations and impact of social comparison processes.
Guimond, S., Branscombe, N. R., Brunot, S., Buunk, A. P., Chatard, A., Désert, M., Garcia, D. M., Haque, S., Martinot, D., & Yzerbyt, V. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.92.6.1118 · Cited by 341 · see citing works
Chronic Pain and Poor Self-rated Health
Mäntyselkä, P. T. (2003) · JAMA · doi:10.1001/jama.290.18.2435 · Cited by 340 · cited 10× · see citing works
“Gender Differences in Depression in Representative National Samples: Meta-Analyses of Diagnoses and Symptoms Rachel H. Salk University of Wisconsin – Madison and University of Pittsburgh School of Medicine Janet S. Hyde and Lyn Y. Abramson University of Wisconsin – Madison In 2 meta-analyses on gender differences in d…”
InfluentialHartung, C. M., & Widiger, T. A. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.123.3.260 · Cited by 333 · cited 1× · see citing works
“It is important that clinicians do not overlook depression among men, particularly because gender biases in diagnosis have been documented (Hartung & Widiger, 1998).”
BEBBINGTON, P. E., DUNN, G., JENKINS, R., LEWIS, G., BRUGHA, T., FARRELL, M., & MELTZER, H. (1998) · Psychological Medicine · doi:10.1017/s0033291797006077 · Cited by 330 · see citing works
Prevention of major depression
Muñoz, R. F., Cuijpers, P., Smit, F., Barrera, A. Z., & Leykin, Y. (2010) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-033109-132040 · Cited by 326 · cited 1× · see citing works
“Research to identify preventive interventions is even more important (Muñoz et al., 2010).”
Disorder in the Life Course: How Common and Does It Matter?
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InfluentialSex Differences in the Pathways to Major Depression: A Study of Opposite-Sex Twin Pairs
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InfluentialZimmerman, M. A., & Zahniser, J. H. (1991) · Journal of Community Psychology · doi:10.1002/1520-6629(199104)19:2 · Cited by 301 · see citing works
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InfluentialAge and the Gender Gap in Depression
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“The limited findings in adulthood are inconsistent with respect to both the magnitude and direction of the gender difference in depression (Angst et al., 2002; Bebbington et al., 1998; Mirowsky, 1996; Oksuzyan et al., 2010; Patten et al., 2016).”
Gender differences in depression: the role of personality factors
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InfluentialScreening for Depression in Adult Patients in Primary Care Settings: A Systematic Evidence Review
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InfluentialEthnic and Sex Differences in Suicide Rates Relative to Major Depression in the United States
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An epidemiological survey of psychiatric disorders in Iran.
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Self-citationSocial Capital and Psychological Distress
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The origins of sex differences in depressive disorder: bridging the gap
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McMartin, S. E., Jacka, F. N., & Colman, I. (2013) · Preventive Medicine · doi:10.1016/j.ypmed.2012.12.016 · Cited by 229 · cited 18× · see citing works
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InfluentialDepression in the United States and Japan: Gender, marital status, and SES patterns
Inaba, A., Thoits, P. A., Ueno, K., Gove, W. R., Evenson, R. J., & Sloan, M. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.07.014 · Cited by 224 · see citing works
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InfluentialBebbington, P., Dunn, G., Jenkins, R., Lewis, G., Brugha, T. S., Farrell, M., & Meltzer, H. (2003) · International Review of Psychiatry · doi:10.1080/0954026021000045976 · Cited by 216 · see citing works
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Lifetime and 12-Month Prevalence of DSM-IV Psychiatric Disorders Among Korean Adults
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A nationwide survey on the prevalence and risk factors of late life depression in South Korea
Park, J. H., Kim, K. W., Kim, M.-H., Kim, M.-D., Kim, B., Kim, S.-K., Kim, J. L., Moon, S. W., Bae, J. N., Woo, J. I., et al. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.12.038 · Cited by 203 · cited 6× · see citing works
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InfluentialLiving arrangements, social networks and depressive symptoms among older men and women in Singapore
Chan, A. W.-M., Malhotra, C., Malhotra, R., & Østbye, T. (2010) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2574 · Cited by 201 · cited 12× · see citing works
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Influential(2008) · Cited by 201 · see citing works
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Does the Association Between Alcohol Consumption and Depression Depend on How They Are Measured?
Graham, K., Massak, A., Demers, A., & Rehm, J. T. (2006) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2006.00274.x · Cited by 196 · cited 7× · see citing works
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InfluentialJang, S.-N., Kawachi, I., Chang, J., Boo, K., Shin, H.-G., Lee, H., & Cho, S.-I. (2009) · Social Science & Medicine · doi:10.1016/j.socscimed.2009.09.007 · Cited by 192 · cited 18× · see citing works
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InfluentialEmergence of attributional style and its relation to depressive symptoms.
Cole, D. A., Ciesla, J. A., Dallaire, D. H., Jacquez, F. M., Pineda, A. Q., LaGrange, B., Truss, A. E., Folmer, A. S., Tilghman-Osborne, C., & Felton, J. W. (2008) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.117.1.16 · Cited by 192 · see citing works
Socioeconomic and psychosocial predictors of interleukin-6 in the MIDUS national sample
Morozink, J. A., Friedman, E. M., Coe, C. L., & Ryff, C. D. (2010) · Health Psychology · doi:10.1037/a0021360 · Cited by 186 · cited 1× · see citing works
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The gender gap in mental health service use
Pattyn, E., Verhaeghe, M., & Bracke, P. (2015) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-015-1038-x · Cited by 183 · see citing works
Anxiety and depression in Nepal: prevalence, comorbidity and associations
Risal, A., Manandhar, K., Linde, M., Steiner, T. J., & Holen, A. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0810-0 · Cited by 183 · cited 7× · see citing works
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InfluentialLifetime and 12-Month Prevalence of DSM-III-R Disorders in the Chile Psychiatric Prevalence Study
Vicente, B., Kohn, R., Rioseco, P., Saldivia, S., Levav, I., & Torres, S. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.8.1362 · Cited by 182 · see citing works
A U-Shaped Association Between Intensity of Internet Use and Adolescent Health
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InfluentialEpidemiology of psychiatric and alcohol disorders in Ukraine
Bromet, E. J., Gluzman, S. F., Paniotto, V., Webb, C. P. M., Tintle, N., Zakhozha, V., Havenaar, J. M., Gutkovich, Z. A., Kostyuchenko, S., & Schwartz, J. E. (2005) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-005-0927-9 · Cited by 171 · cited 4× · see citing works
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InfluentialDepression and associated factors in older adults in South Africa
Peltzer, K., & Phaswana-Mafuya, N. R. (2013) · Global Health Action · doi:10.3402/gha.v6i0.18871 · Cited by 169 · see citing works
The Sex Difference in Depression Across 29 Countries
Hopcroft, R. L., & Bradley, D. B. (2007) · Social Forces · doi:10.1353/sof.2007.0071 · Cited by 164 · cited 1× · see citing works
“Two large multination studies have reported conflicting results, finding that the gender gap in depression was smaller and larger, respectively, in low gender-equity countries compared with high gender-equity countries (Hopcroft & Bradley, 2007; Van de Velde, Huijts, Bracke, & Bambra, 2013).”
Okabayashi, H., Liang, J., KRAUSE, N. M., Akiyama, H., & Sugisawa, H. (2004) · Social Science & Medicine · doi:10.1016/j.socscimed.2004.02.024 · Cited by 162 · cited 33× · see citing works
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InfluentialJoe, S., Baser, R. S., Neighbors, H. W., Caldwell, C. H., & Jackson, J. S. (2009) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318195bccf · Cited by 157 · cited 5× · see citing works
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InfluentialHaroz, E. E., Ybarra, M. L., & Eaton, W. W. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.02.009 · Cited by 152 · cited 26× · see citing works
“CES-D 198 (48”
InfluentialZentner, M., & Mitura, K. (2012) · Psychological Science · doi:10.1177/0956797612441004 · Cited by 151 · cited 1× · see citing works
“Evidence for this theory exists for several psychological gender differences, including mate preferences, mathematics performance, and some aspects of sexuality (Eagly & Wood, 1999; Else-Quest, Hyde, & Linn, 2010; Petersen & Hyde, 2010; Zentner & Mitura, 2012).”
Skapinakis, P., Bellos, S., Koupidis, S. A., Grammatikopoulos, I. A., Theodorakis, P. N., & Mavreas, V. G. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-163 · Cited by 149 · see citing works
The Adolescent Depression Rating Scale (ADRS): a validation study
Révah‐Levy, A., Birmaher, B. B., Gasquet, I., & Falissard, B. (2007) · BMC Psychiatry · doi:10.1186/1471-244x-7-2 · Cited by 146 · cited 3× · see citing works
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Adolescent Depressed Mood in a Multiethnic Sample
Siegel, J. M., Aneshensel, C. S., Taub, B., Cantwell, D. P., & Driscoll, A. K. (1998) · Journal of Youth and Adolescence · doi:10.1023/a:1022873601030 · Cited by 144 · see citing works
Gender differences in the relation between depression and social support in later life
Sonnenberg, C., Deeg, D. J. H., van Tilburg, T. G., Vink, D., Stek, M. L., & Beekman, A. T. F. (2012) · International Psychogeriatrics · doi:10.1017/s1041610212001202 · Cited by 140 · see citing works
Social inequality in the prevalence of depressive disorders
Andersen, I., Thielen, K., Nygaard, E., & Diderichsen, F. (2009) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2008.082719 · Cited by 136 · cited 3× · see citing works
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InfluentialGabilondo, A., Rojas-Farreras, S., Vilagut, G., Haro, J., Fernández, A., Pinto-Meza, A., & Alonso, J. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.04.016 · Cited by 135 · cited 12× · see citing works
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InfluentialSalk, R. H., Petersen, J. L., Abramson, L. Y., & Hyde, J. S. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.03.071 · Cited by 134 · see citing works
Self-citationMental distress in the Danish general population
Olsen, L. R., Mortensen, E. L., & Bech, P. (2006) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2005.00743.x · Cited by 131 · cited 11× · see citing works
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InfluentialShah, A. J. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.125 · Cited by 124 · cited 3× · see citing works
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InfluentialThe role of life satisfaction and depressive symptoms in all-cause mortality.
Collins, A., Glei, D. A., & Goldman, N. (2009) · Psychology and Aging · doi:10.1037/a0016777 · Cited by 121 · cited 5× · see citing works
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InfluentialA nationwide population-based study of depression in Brazil
Munhoz, T. N., Nunes, B. P., Wehrmeister, F. C., Santos, I. S., & Matijasevich, A. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.12.038 · Cited by 121 · cited 8× · see citing works
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InfluentialMaske, U. E., Buttery, A. K., Beesdo-Baum, K., Riedel-Heller, S., Hapke, U., & Busch, M. A. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.10.006 · Cited by 120 · cited 19× · see citing works
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InfluentialFleming, T. M., Clark, T. C., Denny, S., Bullen, P., Crengle, S. M., Peiris-John, R. J., Robinson, E., Rossen, F. V., Sheridan, J. L., & Lucassen, M. F. G. (2013) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867413514489 · Cited by 115 · cited 10× · see citing works
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InfluentialCross-national comparison of sex differences in health and mortality in Denmark, Japan and the US
Oksuzyan, A., Crimmins, E., Saito, Y., O’Rand, A., Vaupel, J. W., & Christensen, K. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9460-6 · Cited by 114 · cited 16× · see citing works
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InfluentialPregnancy intention and postpartum depression: secondary data analysis from a prospective cohort
Mercier, R., Garrett, J., Thorp, J., & Siega‐Riz, A. (2013) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.12255 · Cited by 114 · see citing works
Distinctive Biological Correlates of Positive Psychological Well-Being in Older Men and Women
Steptoe, A., Demakakos, P., de Oliveira, C. M., & Wardle, J. (2012) · Psychosomatic Medicine · doi:10.1097/psy.0b013e31824f82c8 · Cited by 113 · cited 1× · see citing works
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Racial differences in depression in the United States: how do subgroup analyses inform a paradox?
Barnes, D. M., Keyes, K. M., & Bates, L. M. (2013) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-013-0718-7 · Cited by 113 · see citing works
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“Study d Country NM NF Measure Year Age Sample E F Aalto et al. (2012)a .27 Finland 326 371 BDI 2001 30–34 Health 2000 2 Aalto et al. (2012)a .29 Finland 353 388 BDI 2001 35–39 Health 2000 2 Aalto et al. (2012)a .14 Finland 341 381 BDI 2001 40–44 Health 2000 2 Aalto et al. (2012)a .10 Finland 379 435 BDI 2001 45–49 Hea…”
Influential(2008) · Cited by 110 · see citing works
Macro‐level gender equality and depression in men and women in Europe
Van de Velde, S., Huijts, T., Bracke, P., & Bambra, C. (2013) · Sociology of Health & Illness · doi:10.1111/j.1467-9566.2012.01521.x · Cited by 109 · see citing works
Depression in adult Nigerians: Results from the Nigerian Survey of Mental Health and Well-being
Gureje, O., Uwakwe, R., Oladeji, B. D., Makanjuola, V. A., & Esan, O. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.04.030 · Cited by 109 · cited 3× · see citing works
“…Year Age Sample E F M T Grant (1995) 1.31 U.S. 21,431 21,431 AUDADIS 1992 18 National Longitudinal Alcohol Epidemiologic Survey (NLAES) 1 2 1 4 Gureje et al. (2010)a .83 Nigeria 1,595 1,580 WMH-CIDI 2003 18–34 Nigerian Survey of Mental Health & Wellbeing (NSMHW)W 2 1 3 Gureje et al. (2010)a…”
InfluentialShiovitz‐Ezra, S., Leitsch, S. A., Graber, J., & Karraker, A. (2009) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbn020 · Cited by 108 · see citing works
Social Rhythm and Mental Health: A Cross-Cultural Comparison
Margraf, J., Lavallee, K. L., Zhang, X.-C., & Schneider, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150312 · Cited by 107 · cited 2× · see citing works
“…Finland 336 432 DEPS 2002 45–54 Finnish Pain Study 3 Mäntyselkä et al. (2003)a .16 Finland 381 441 DEPS 2002 55–64 Finnish Pain Study 3 Mäntyselkä et al. (2003)a .14 Finland 417 437 DEPS 2002 65–74 Finnish Pain Study 3 Margraf et al. (2016)a .12 U.S. 1,252 1,786 DASS-D 2013 18 Bochum Optimism and…”
Development of a Korean Version of the Composite International Diagnostic Interview (K-CIDI)
Cho, M. J., Hahm, B., Suh, D. W., Hong, J. P., Bae, J. N., Kim, J. K., Lee, D. W., & Cho, S. J. (2002) · Cited by 106 · see citing works
Secular Trends in Depressive Symptoms Among Norwegian Adolescents from 1992 to 2010
von Soest, T., & Wichstrøm, L. (2013) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-013-9785-1 · Cited by 103 · see citing works
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“Study d Country NM NF Measure Year Age Sample E F Aalto et al. (2012)a .27 Finland 326 371 BDI 2001 30–34 Health 2000 2 Aalto et al. (2012)a .29 Finland 353 388 BDI 2001 35–39 Health 2000 2 Aalto et al. (2012)a .14 Finland 341 381 BDI 2001 40–44 Health 2000 2 Aalto et al. (2012)a .10 Finland 379 435 BDI 2001 45–49 Hea…”
InfluentialGender differences in depressive symptoms among older adults: a cross-national comparison
Zunzunegui, M. V., Minicuci, N., Blumstein, T., Noale, M., Deeg, D. J. H., Jylhä, M. K., Pedersen, N. L., & for the CLESA Working Group (2007) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-007-0158-3 · Cited by 98 · see citing works
Out of the shadows : making mental health a global development priority
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Depressive Symptoms and Mortality Risk in a National Sample: Confounding Effects of Health Status
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“…CES-D 1986 24–34 American Changing Lives Survey 1 2 Everson-Rose et al. (2004)a .23 U.S. 228 363 CES-D 1986 35–44 American Changing Lives Survey 1 2 Everson-Rose et al. (2004)a .01 U.S. 168 222 CES-D 1986 45–54 American Changing Lives Survey 1 2 Everson-Rose et al. (2004)a .14 U.S. 251 434 CES-D…”
InfluentialMommersteeg, P. M. C., Herr, R., Pouwer, F., Holt, R. I. G., & Loerbroks, A. (2013) · Diabetic Medicine · doi:10.1111/dme.12193 · Cited by 93 · cited 46× · see citing works
“…Namibia 1,721 2,524 WHO WHS 2002 18 WHO World Health Survey 2 1 3 Mommersteeg et al. (2013)a 2.01 Senegal 1,641 1,515 WHO WHS 2002 18 WHO World Health Survey 2 1 3 Mommersteeg et al. (2013)a .93 Swaziland 1,417 1,667 WHO WHS 2002 18 WHO World Health Survey 2 1 3 Mommersteeg et al. (2013)a 1.29…”
InfluentialBeals, J., Manson, S. M., Whitesell, N. R., Mitchell, C. M., Novins, D. K., Simpson, S., Spicer, P., & American Indian Service Utilization, P. E. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.9.1713 · Cited by 93 · cited 4× · see citing works
“Study OR Country NM NF Interview Year Age Sample E F M T Alaimo et al. (2002) 2.38 U.S. 365 389 DIS 1991 15–16 Third National Health and Nutrition Examination Survey (NHANES III) 1 1 2 4 Andrews et al. (2001)a 2.40 Australia 461 608 CIDI 2.1 1997 18–24 Australian National Survey of Mental Health & WellBeing (NSMHWB) 3…”
InfluentialFarbstein, I., Mansbach‐Kleinfeld, I., Levinson, D., Goodman, R., Levav, I., Vograft, I., Kanaaneh, R., Ponizovsky, A. M., Brent, D. A., & Apter, A. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2009.02188.x · Cited by 91 · cited 13× · see citing works
“Categorical moderators OR d 95% CI k Qbetween Qwithin Age group (in years) 184a 122.54 231.75 12 2.37 .48 [1.68, 3.37] 2 .38 13–15 3.02 .61 [2.76, 3.30] 24 43.13 16–19 2.69 .55 [2.39, 3.03] 17 14.54 20–29 1.93 .36 [1.76, 2.12] 26 23.43 30–39 1.83 .33 [1.65, 2.03] 20 15.89 40–49 1.71 .30 [1.56, 1.87] 29 28.04 50–59 1.8…”
Influential(2002) · Cited by 89 · see citing works
Nightmares: risk factors among the Finnish general adult population
Sandman, N., Valli, K., Kronholm, E., Revonsuo, A., Laatikainen, T., & Paunio, T. (2015) · Sleep · doi:10.5665/sleep.4560 · Cited by 87 · see citing works
O’Halloran, A. M., Kenny, R. A., & King‐Kallimanis, B. L. (2014) · European Geriatric Medicine · doi:10.1016/j.eurger.2013.12.004 · Cited by 85 · cited 7× · see citing works
“…591 754 CES-D 2010 55–59 TILDA 2 O’Halloran et al. (2014)a .20 Ireland 502 647 CES-D 2010 60–64 TILDA 2 O’Halloran et al. (2014)a .19 Ireland 487 502 CES-D 2010 65–69 TILDA 2 O’Halloran et al. (2014)a .35 Ireland 383 376 CES-D 2010 70–74 TILDA 2 O’Halloran et al. (2014)a .27 Ireland 449 521…”
InfluentialKiejna, A., Piotrowski, P., Adamowski, T., Moskalewicz, J., Wciórka, J., Stokwiszewski, J., Rabczenko, D., & Kessler, R. C. (2015) · Psychiatria Polska · doi:10.12740/pp/30811 · Cited by 85 · see citing works
Kliem, S., Mößle, T., Zenger, M., & Brähler, E. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.11.024 · Cited by 83 · cited 7× · see citing works
“T hi s ar tic le is in te nd ed so le ly fo r th e pe rs on al us e of th e in di vi du al us er an d is no t to be di ss em in at ed br oa dl y. Table 1 (continued) Study OR Country NM NF Interview Year Age Sample E F M T CBHSQ (2014) 3.28 U.S. 1,883 1,872 WMH-CIDI 2012 14 NSDUH 1 3 1 3 CBHSQ (2014) 2.98 U.S. 1,921 1…”
InfluentialChild Maltreatment in Depressed Adolescents: Differences in Symptomatology Based on History of Abuse
Danielson, C. K., de Arellano, M. A., Kilpatrick, D. G., Saunders, B. E., & Resnick, H. S. (2004) · Child Maltreatment · doi:10.1177/1077559504271630 · Cited by 82 · cited 1× · see citing works
“…U.S. 11,612 14,903 CIDI-SF 1999 18 National Health Interview Survey 2 2 1 3 Coyne and Marcus (2006) 2.29 U.S. 1,590 2,696 CIDI-SF 1999 18 National Health Interview Survey 3 2 1 3 Danielson et al. (2005) 1.98 U.S. 2,020 2,003 NSA interview 1995 12–17 National Survey of Adolescents (NSA) 1 2 1 3 de…”
InfluentialSecond-stage non-response in the Swiss health survey: determinants and bias in outcomes
Volken, T. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-167 · Cited by 82 · see citing works
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The social determinants of mental health and disorder: evidence, prevention and recommendations
Kirkbride, J. B., Anglin, D. M., Colman, I., Dykxhoorn, J. L., Jones, P. B., Patalay, P., Pitman, A., Soneson, E., Steare, T., Wright, T., et al. (2024) · World Psychiatry · doi:10.1002/wps.21160 · Cited by 1,410 · see citing works
“For example, wider gender gaps in depression have been observed in countries with higher levels of gender equality amongst both adults and adolescents 201,210 .”
BackgroundTime for united action on depression: a Lancet–World Psychiatric Association Commission
Herrman, H., Patel, V., Kieling, C., Berk, M., Buchweitz, C., Cuijpers, P., Furukawa, T. A., Kessler, R. C., Kohrt, B. A., Maj, M., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02141-3 · Cited by 1,104 · see citing works
Major depressive disorder: hypothesis, mechanism, prevention and treatment
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“446 Compared with male patients, female patients with MDD have symptoms that manifest sooner in the disease course, last longer, and are more severe; in addition, they experience hunger changes, weight fl uctuations, and sleep dif fi culties more frequently.”
BackgroundThe future of sex and gender in psychology: Five challenges to the gender binary.
Hyde, J. S., Bigler, R. S., Joel, D., Tate, C. C., & van Anders, S. M. (2018) · American Psychologist · doi:10.1037/amp0000307 · Cited by 1,012 · see citing works
Self-citationTwenge, J. M., & Martin, G. N. (2020) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.12.018 · Cited by 582 · see citing works
Kauhanen, L., Wan Mohd Yunus, W. M. A., Lempinen, L., Peltonen, K., Gyllenberg, D., Mishina, K., Gilbert, S., Bastola, K., Brown, J. S. L., & Sourander, A. (2023) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-022-02060-0 · Cited by 544 · see citing works
“Depression and anxiety are increasing during puberty especially among girls [50, 51], which may be one possible explanation for this gender differences.”
BackgroundComorbid depression in medical diseases
Gold, S. M., Köhler‐Forsberg, O., Moss-Morris, R. E., Mehnert, A., Miranda, J. J., Bullinger, M., Steptoe, A., Whooley, M. A., & Otte, C. (2020) · Nature Reviews Disease Primers · doi:10.1038/s41572-020-0200-2 · Cited by 547 · see citing works
Social Media and Mental Health
Braghieri, L., Levy, R., & Makarin, A. (2022) · American Economic Review · doi:10.1257/aer.20211218 · Cited by 617 · see citing works
Sex differences in depression: Insights from clinical and preclinical studies
Eid, R. S., Gobinath, A. R., & Galea, L. A. M. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.01.006 · Cited by 458 · see citing works
Petzold, M., Bendau, A., Plag, J., Pyrkosch, L., Maričić, L. M., Betzler, F., Rogoll, J., Große, J., & Ströhle, A. (2020) · Brain and Behavior · doi:10.1002/brb3.1745 · Cited by 383 · see citing works
Pfeifer, J. H., & Allen, N. B. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.002 · Cited by 411 · see citing works
“Meta-analyses show that during adolescence, girls’ risk for depression rises to double or more than that of boys -- a disparity in both symptoms and diagnoses that peaks in mid-late adolescence, and persists across most of the remaining lifespan (for a recent multinational meta-analysis, see (2)).”
BackgroundGender differences in loneliness across the lifespan: a meta-analysis
Maes, M., Qualter, P., Vanhalst, J., Van den Noortgate, W., & Goossens, L. (2019) · European Journal of Personality · doi:10.1002/per.2220 · Cited by 405 · see citing works
Gender Differences in Depression: Biological, Affective, Cognitive, and Sociocultural Factors
Hyde, J. S., & Mezulis, A. H. (2020) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000230 · Cited by 385 · see citing works
“As noted, the gender difference appears by age 12.(3) The model therefore focuses on factors from childhood to early adolescence.”
BackgroundResultInfluentialSelf-citationWindows of developmental sensitivity to social media
Orben, A., Przybylski, A. K., Blakemore, S.-J., & Kievit, R. A. (2022) · Nature Communications · doi:10.1038/s41467-022-29296-3 · Cited by 387 · see citing works
Eliot, L., Ahmed, A., Khan, H., & Patel, J. Y. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.026 · Cited by 351 · see citing works
Lam, R. W. M., Kennedy, S. H., Adams, G. C., Bahji, A., Beaulieu, S., Bhat, V., Blier, P., Blumberger, D. M., Brietzke, E. M., Chakrabarty, T., et al. (2024) · The Canadian Journal of Psychiatry · doi:10.1177/07067437241245384 · Cited by 408 · see citing works
Sedentary behaviors and risk of depression: a meta-analysis of prospective studies
Huang, Y., Li, L., Gan, Y., Wang, C., Jiang, H., Cao, S., & Lu, Z. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0715-z · Cited by 350 · see citing works
Tang, X., Tang, S., Ren, Z., & Wong, D. F. K. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.11.043 · Cited by 319 · see citing works
Social media and depression symptoms: a meta-analysis
Cunningham, S., Hudson, C. C., & Harkness, K. (2021) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-020-00715-7 · Cited by 308 · see citing works
Zhu, J., Sun, L., Zhang, L., Wang, H., Fan, A., Yang, B. Q., Li, W., & Xiao, S. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00386 · Cited by 308 · see citing works
“What's more, meta-analyses of diagnoses and symptoms show that the gender difference peaks in adolescence but then will decline and remain stable in adulthood, and cross-national analyses also indicate that larger gender differences are found in nations with greater gender equity for major depression, but not depressi…”
BackgroundUddin, R., Burton, N. W., Maple, M. J., Khan, S. R., & Khan, A. (2019) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(18)30403-6 · Cited by 307 · see citing works
The reality and evolutionary significance of human psychological sex differences
Archer, J. (2019) · Biological Reviews · doi:10.1111/brv.12507 · Cited by 291 · see citing works
“Sex differences in anxiety disorders are also found during childhood (Lewinsohn et al., 1998; McLean & Anderson, 2009; Salk et al., 2017).”
BackgroundResultInfluentialDissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics
Buch, A. M., & Liston, C. M. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-00789-3 · Cited by 271 · see citing works
“Defining sexually dimorphic mechanisms Women are about twice as likely as men to be diagnosed with depression [6, 16, 173], indicating that sex may be an important contributor to diagnostic heterogeneity and that pathophysiological mechanisms may not be identical in men and women [174].”
BackgroundChronotype, circadian rhythm, and psychiatric disorders: Recent evidence and potential mechanisms
Zou, H.-W., Zhou, H., Yan, R., Yao, Z., & Lu, Q. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.811771 · Cited by 254 · see citing works
“Although many studies have attempted to explore sex-specific effects on psychiatric disorders from various perspectives, such as socio-cultural factors (Salk et al., 2017), gene organization and expression (Labonte et al.”
BackgroundKeyes, K. M., & Platt, J. M. (2024) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13864 · Cited by 253 · see citing works
Socioeconomic status and well-being during COVID-19: A resource-based examination.
Wanberg, C. R., Csillag, B., Douglass, R. P., Zhou, L., & Pollard, M. S. (2020) · Journal of Applied Psychology · doi:10.1037/apl0000831 · Cited by 256 · see citing works
Fillingim, R. B. (2017) · Principles of Gender-Specific Medicine · doi:10.1016/b978-0-12-803506-1.00038-3 · Cited by 255 · see citing works
Shi, P., Yang, A., Zhao, Q., Chen, Z., Ren, X.-M., & Dai, Q. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.589687 · Cited by 248 · see citing works
“The prevalence of depression tends to be doubled in girls (3, 6, 75, 76) from the age of 12 years, and this trend persists until the age of 45 or 54 years (26, 77), then declines after menopause (3, 8, 78).”
BackgroundAssociations between sex hormones, sleep problems and depression: A systematic review
Morssinkhof, M. W. L., van Wylick, D. W., Priester-Vink, S., van der Werf, Y. D., den Heijer, M., van den Heuvel, O. A., & Broekman, B. F. P. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.08.006 · Cited by 210 · see citing works
“The sex differences in prevalence of insomnia and depression appear from puberty onwards (Salk et al., 2017) and seems to coincide with the timing of girls’ first menstruation (Johnson”
Chi, X., Liang, K., Chen, S., Huang, Q., Huang, L., Yu, Q., Jiao, C., Guo, T., Stubbs, B., Hossain, M. M., et al. (2020) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2020.100218 · Cited by 232 · see citing works
“Consistent with pre-COVID-19 studies (Mallampalli & Carter, 2014; Salk et al., 2017), the present study shows that female participants were reported with higher level of insomnia, depressive and anxiety symptoms than their male counterpart.”
Cong, S., Xiang, C., Zhang, S., Zhang, T., Wang, H., & Cong, S. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104749 · Cited by 234 · see citing works
Depression and Anxiety among Iranian Medical Students during COVID-19 Pandemic
Nakhostin-Ansari, A., Sherafati, A., Aghajani, F., Khonji, M. S., Aghajani, R., & Shahmansouri, N. (2020) · Iranian Journal of Psychiatry · doi:10.18502/ijps.v15i3.3815 · Cited by 231 · see citing works
Delmastro, M., & Zamariola, G. (2020) · Scientific Reports · doi:10.1038/s41598-020-79850-6 · Cited by 231 · see citing works
Ausín, B., González-Sanguino, C., Castellanos, M. A., & Muñoz, M. (2020) · Journal of Gender Studies · doi:10.1080/09589236.2020.1799768 · Cited by 201 · see citing works
Sex and gender in psychopathology: DSM–5 and beyond.
Hartung, C. M., & Lefler, E. K. (2019) · Psychological Bulletin · doi:10.1037/bul0000183 · Cited by 221 · see citing works
“We also recommend additional meta-analyses and systematic reviews of new and existing epidemiological studies for each disorder with a focus on understudied disorders where these types of studies have not yet been carried out (Willcutt, 2012 and Salk et al., 2017 serve as excellent examples).”
BackgroundMethodResultInfluentialYou’ve got male: Sex and the microbiota-gut-brain axis across the lifespan
Jaggar, M., Rea, K., Spichak, S., Dinan, T. G., & Cryan, J. F. (2020) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2019.100815 · Cited by 200 · see citing works
Otten, D., Tibubos, A. N., Schomerus, G., Brähler, E., Binder, H., Kruse, J., Ladwig, K., Wild, P. S., Grabe, H. J., & Beutel, M. E. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.553071 · Cited by 204 · see citing works
Canetto, S. S., & Chen, J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108561716.042 · Cited by 194 · see citing works
Mental health rescue effects of women's outdoor tourism: A role in COVID-19 recovery
Buckley, R., & Westaway, D. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2020.103041 · Cited by 192 · see citing works
Association of Testosterone Treatment With Alleviation of Depressive Symptoms in Men
Walther, A., Breidenstein, J., & Miller, R. E. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.2734 · Cited by 178 · see citing works
Hajak, V. L., Sardana, S. M., Verdeli, H., & Grimm, S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.643704 · Cited by 172 · see citing works
“Even though this gender imbalance is representative for the German ASR population (10), it could influence the outcomes and cause distortions as gender differences in mental disorders have been identified per-se (114) and among ASRs in earlier literature (22, 115).”
BackgroundZhang, R., Peng, X., Song, X., Long, J., Wang, C., Zhang, C., Huang, R., & Lee, T. M. C. (2023) · Psychological Medicine · doi:10.1017/s0033291722000241 · Cited by 174 · see citing works
“Salk, Hyde, and Abramson (2017) performed a meta-analysis of data from 95 articles covering 1 922 064 individuals and found that females have approximately twice the number of major depressive episodes compared with males.”
Psychological distress in North America during COVID-19: The role of pandemic-related stressors
Zheng, J., Morstead, T., Sin, N. L., Klaiber, P., Umberson, D., Kamble, S. V., & DeLongis, A. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.113687 · Cited by 170 · see citing works
Sleep quality in times of Covid-19 pandemic
Pinto, J., van Zeller, M., Amorim, P., Pimentel, A., Dantas, P. M., Eusébio, E., Neves, A., Pipa, J., Clara, E. S., Santiago, T., et al. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.07.012 · Cited by 168 · see citing works
“Also, women are more likely to take antidepressants and anxiolytics, as depression and anxiety disorders are more prevalent in women [28,29].”
Depressive symptoms among women with endometriosis: a systematic review and meta-analysis
Gambadauro, P., Carli, V., & Hadlaczky, G. (2018) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2018.11.123 · Cited by 167 · see citing works
Hakami, Z. W., Khanagar, S. B., Vishwanathaiah, S., Hakami, A., Bokhari, A. M., Jabali, A. H., Alasmari, D. S., & Aldrees, A. M. (2020) · Journal of Dental Education · doi:10.1002/jdd.12470 · Cited by 157 · see citing works
Relative food insecurity, mental health and wellbeing in 160 countries
Elgar, F. J., Pickett, W., Pförtner, T., Gariépy, G., Gordon, D., Georgiades, K., Davison, C., Hammami, N., MacNeil, A. H., Silva, M. A. D., et al. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113556 · Cited by 157 · see citing works
The prevalence of depression among patients with tuberculosis: A systematic review and meta-analysis
Duko, B., Bedaso, A., & Ayano, G. (2020) · Annals of General Psychiatry · doi:10.1186/s12991-020-00281-8 · Cited by 154 · see citing works
Wang, Y.-L., Wu, H., Zhang, S., Xiao, H., Yu, J. M., Ma, Y.-Y., Zhang, Y., & Liu, Q. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01468-7 · Cited by 153 · see citing works
Liu, H., Zhang, M., Yang, Q., & Yu, B. (2020) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01726-6 · Cited by 150 · see citing works
Testosterone, mood, behaviour and quality of life
Zitzmann, M. (2020) · Andrology · doi:10.1111/andr.12867 · Cited by 154 · see citing works
Obesity and cardiovascular disease in women
Manrique‐Acevedo, C., Chinnakotla, B., Padilla, J., Martinez‐Lemus, L. A., & Gozal, D. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-0548-0 · Cited by 142 · see citing works
Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders
Blokland, G. A. M., Grove, J., Chen, C., Cotsapas, C. J., Tobet, S. A., Handa, R. J., Ripke, S., Neale, B. M., Corvin, A., Walters, J., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.02.972 · Cited by 125 · see citing works
Dai, L., Wang, X., Jiang, T., Li, P., Wang, Y., Wu, S., Jia, L., Liu, M., An, L., & Cheng, Z. (2020) · PLoS ONE · doi:10.1371/journal.pone.0238416 · Cited by 139 · see citing works
“There is now a consensus that gender differences in depression have a multifactorial etiology; for example, there is a confluence of hormonal and neurodevelopmental changes that vary by sex during the pubertal transition and may influence gender differences in depression [52].”
BackgroundHigher HEI-2015 Score Is Associated with Reduced Risk of Depression: Result from NHANES 2005–2016
Wang, K., Zhao, Y., Nie, J., Xu, H., Yu, C., & Wang, S. (2021) · Nutrients · doi:10.3390/nu13020348 · Cited by 133 · see citing works
Dietary Nutrient Deficiencies and Risk of Depression (Review Article 2018–2023)
Zielińska, M., Łuszczki, E., & Dereń, K. (2023) · Nutrients · doi:10.3390/nu15112433 · Cited by 133 · see citing works
“The prevalence of depressive disorders is also related to age (it most often starts in people between 20 and 40 years of age), gender (women fall twice as often as men), marital status (separated, divorced, widowed, especially for men), but also often to difficult traumatic experiences, for example, from childhood [7,…”
Bhargava, A., Arnold, A. P., Bangasser, D. A., Denton, K. M., Gupta, A., Hilliard Krause, L. M., Mayer, E. A., McCarthy, M., Miller, W. L., Raznahan, A., et al. (2021) · Endocrine Reviews · doi:10.1210/endrev/bnaa034 · Cited by 130 · see citing works
“For example, men are more likely to suffer from attention-deficit/ hyperactivity disorder (ADHD), whereas women are more likely to suffer from major depression and posttraumatic stress disorder (PTSD) (219, 263-265).”
BackgroundInfluentialWang, A., Wan, X., Zhuang, P., Wei, J., Yang, A., Liu, X., Tian, Y., Zhu, L., Huang, Y., Yao, J., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2221097120 · Cited by 125 · see citing works
“Previous research showed that females tend to suffer more from mental health problems than males (58, 59).”
Cui, Y., Cao, K., Lin, H., Cui, S., Shen, C., Wen, W., Mo, H., Dong, Z., Bai, S., Yang, L., et al. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00102 · Cited by 124 · see citing works
“showed that gender differences in depression incidence peak during adolescence, whereas the gender gap narrows and stabilizes in adulthood (Salk et al., 2017).”
BackgroundThe effect of isolation on athletes’ mental health during the COVID-19 pandemic
Şenışık, S., Denerel, N., Köyağasıoğlu, O., & Tunç, S. (2020) · The Physician and Sportsmedicine · doi:10.1080/00913847.2020.1807297 · Cited by 124 · see citing works
“studies, mental distress was found to affect women approximately twice as much as men [7,8].”
BackgroundYumeng, C. H. E. N., Zhang, Y., Guoliang, Y. U., & 俞, 国. (2022) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2022.00991 · Cited by 134 · see citing works
Soto-Angona, Ó., Anmella, G., Valdés-Florido, M. J., De Uribe-Viloria, N., Carvalho, A. F., Penninx, B. W. J. H., & Berk, M. (2020) · BMC Medicine · doi:10.1186/s12916-020-01713-8 · Cited by 122 · see citing works
Liu, S., Yang, L., Zhang, C., Xu, Y., Cai, L., Ma, S., Wang, Y., Cai, Z., Du, H., Li, R., et al. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.03.014 · Cited by 122 · see citing works
Porter, C., Favara, M., Hittmeyer, A., Scott, D., Sánchez, A., Revathi, E., Woldehanna, T., Duc, L. T., Craske, M. G., & Stein, A. L. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-049653 · Cited by 134 · see citing works
Szabó, M., & Lovibond, P. F. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.766890 · Cited by 123 · see citing works
Links Between Stress, Sleep, and Inflammation: Are there Sex Differences?
Dolsen, E. A., Crosswell, A. D., & Prather, A. A. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-0993-4 · Cited by 121 · see citing works
Heart–brain interactions in cardiac and brain diseases: why sex matters
Rossi, A., Mikaïl, N., Bengs, S., Haider, A., Treyer, V., Buechel, R. R., Wegener, S., Rauen, K., Tawakol, A. A., Merz, C. N. B., et al. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehac061 · Cited by 116 · see citing works
A Study on the Psychological Wound of COVID-19 in University Students
Padrón, I., Fraga, I., Vieitez, L., Montes, C., & Romero, E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.589927 · Cited by 118 · see citing works
“In accordance with past research on general psychological health (Salk et al., 2017), and with some other studies conducted during the COVID-19 crisis (Wang et al.”
ResultHantsoo, L., Jagodnik, K., Novick, A. M., Baweja, R., di Scalea, T. L., Özerdem, A., McGlade, E. C., Simeonova, D. I., Dekel, S., Kornfield, S. L., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1295261 · Cited by 139 · see citing works
Amatori, S., Zeppa, S. D., Preti, A., Gervasi, M., Gobbi, E., Ferrini, F., Rocchi, M., Baldari, C., Perroni, F., Piccoli, G., et al. (2020) · Nutrients · doi:10.3390/nu12123660 · Cited by 115 · see citing works
“In our sample, 13% of males and 19% of females reported moderate to severe symptoms of depression (PHQ-9 ≥ 10), a result that is in accordance with the known higher prevalence of depression in women than in men [49,50].”
ResultHamilton, J. L., Nesi, J., & Choukas-Bradley, S. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916211014189 · Cited by 110 · see citing works
“…first onset and worsening of nearly all mental-health problems (Kessler et al., 2005; Patton & Viner, 2007), including depression (Hankin et al., 1998; Salk et al., 2017), anxiety (Merikangas et al., 2010), disordered eating (Holm-Denoma et al., 2014), substance use (Chen & Kandel, 1995;…”
BackgroundPeltzer, K., & Pengpid, S. (2018) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2018.03.017 · Cited by 116 · see citing works
Depressive Symptoms Among Children and Adolescents in China: A Systematic Review and Meta-Analysis
Li, J., Li, J., Liang, J., Qian, S., Jia, R., Ying-quan, W., & Xu, Y. (2019) · Medical Science Monitor · doi:10.12659/msm.916774 · Cited by 110 · see citing works
“In addition, our results were not in line with previous meta-analyses based on nationally representative samples [115], which reported that the OR (odds ratio) value between prevalence of depression in females and males was 2.”
ResultPolygenic Risk: Predicting Depression Outcomes in Clinical and Epidemiological Cohorts of Youths
Halldorsdottir, T., Piechaczek, C., Matos, A. P., Czamara, D., Pehl, V., Wagenbüchler, P., Feldmann, L., Quickenstedt-Reinhardt, P., Allgaier, A., Freisleder, F. J., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18091014 · Cited by 108 · see citing works
Associations of Suicidality Trends With Cannabis Use as a Function of Sex and Depression Status
Han, B., Compton, W. M., Einstein, E. B., & Volkow, N. D. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.13025 · Cited by 106 · see citing works
Mattina, G. F., Lieshout, R. J. V., & Steiner, M. S. (2019) · Therapeutic Advances in Cardiovascular Disease · doi:10.1177/1753944719851950 · Cited by 102 · see citing works
Mechanisms of neuroplasticity linking early adversity to depression: developmental considerations
Ho, T. C., & King, L. S. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01639-6 · Cited by 108 · see citing works
“For instance, epidemiological data demonstrate that, in terms of sex assigned at birth, depression affects female more than male individuals, particularly during the adolescent period when depression often emerges [11, 210].”
BackgroundIs subthreshold depression in adolescence clinically relevant?
Noyes, B. K., Munoz, D. P., Khalid‐Khan, S., Brietzke, E. M., & Booij, L. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.04.067 · Cited by 103 · see citing works
Association Between Subjective Well-being and Living Longer Without Disability or Illness
Zaninotto, P., & Steptoe, A. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.6870 · Cited by 103 · see citing works
Crockett, M. A., Martínez, V., & Jiménez-Molina, Á. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.03.111 · Cited by 100 · see citing works
“These results are in line with internationally reported gender differences associated with depression symptoms and diagnosis, which generally arise early in adolescence (Salk et al., 2017).”
ResultSteinhoff, A., Ribeaud, D., Kupferschmid, S., Raible-Destan, N., Quednow, B. B., Hepp, U., Eisner, M., & Shanahan, L. (2021) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-020-01573-w · Cited by 100 · see citing works
“Adolescent depression—which has risen in the past decade [5] and is comorbid with self-injury in a significant group of young people [20]—follows a dramatically sex-differentiated course, with female adolescents exhibiting more depressive symptoms than males, particularly during early and mid-adolescence [21].”
BackgroundLongitudinal associations among neuroticism, depression, and cyberbullying in early adolescents
Zhang, D., Huebner, E. S., & Tian, L. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106475 · Cited by 101 · see citing works
Yan, G., Zhang, Y., Wang, S., Yan, Y., Liu, M., Tian, M., & Tian, W. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.115958 · Cited by 104 · see citing works
Dectin-1 signaling on colonic γδ T cells promotes psychosocial stress responses
Zhu, X., Sakamoto, S., Ishii, C., Smith, M. D., Ito, K., Obayashi, M., Unger, L., Hasegawa, Y., Kurokawa, S., Kishimoto, T., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01447-8 · Cited by 99 · see citing works
Prenatal Maternal Stress, Child Cortical Thickness, and Adolescent Depressive Symptoms
Davis, E. P., Hankin, B. L., Glynn, L. M., Head, K., Kim, D. J., & Sandman, C. A. (2020) · Child Development · doi:10.1111/cdev.13252 · Cited by 87 · see citing works
Network analysis of depressive symptoms in Hong Kong residents during the COVID-19 pandemic
Cheung, T. C. C., Jin, Y., Lam, S. C., Su, Z., Hall, B. J., Xiang, Y., Suen, L. K. P., Chan, S., Ho, H., Lam, H. K. B., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01543-z · Cited by 96 · see citing works
Attending to gender in psychotherapy: Understanding and incorporating systems of power
Budge, S. L., & Moradi, B. (2018) · Journal of Clinical Psychology · doi:10.1002/jclp.22686 · Cited by 100 · see citing works
“…mental health concerns at higher rates than cisgender men (e.g., Addis & Mahalik, 2003; Kessler, Petukhova, Sampson, Zaslavsky, & Wittchen, 2012; Salk, Hyde, & Abramson, 2017); gendered systems of power are posited to contribute to such disparities (Meyer, 2003; Testa, Habarth, Peta, Balsam, &…”
BackgroundZhou, J., Yuan, X., Qi, H., Liu, R., Li, Y., Huang, H., Chen, X., & Wang, G. (2020) · Globalization and Health · doi:10.1186/s12992-020-00601-3 · Cited by 91 · see citing works
Nomura, K., Minamizono, S., Maeda, E., Kim, R., Iwata, T., Hirayama, J., Ono, K., Fushimi, M., Goto, T., Mishima, K., et al. (2021) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-021-00953-1 · Cited by 90 · see citing works
“A meta-analysis of studies based on nationally representative samples in the USA suggested that generally, females have a high risk of depression; however, the higher depression prevalence in females than in males was observed only in early adolescence and gradually disappeared in adulthood [21].”
MethodMental Health Conditions of Italian Healthcare Professionals during the COVID‐19 Disease Outbreak
Bettinsoli, M. L., Riso, D. D., Napier, J. L., Moretti, L., Bettinsoli, P., Delmedico, M., Piazzolla, A., & Moretti, B. (2020) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12239 · Cited by 91 · see citing works
Depression in women and men, cumulative disadvantage and gender inequality in 29 European countries
Bracke, P., Delaruelle, K., Dereuddre, R., & de Velde, S. M. V. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113354 · Cited by 89 · see citing works
Prevalence and age patterns of depression in the United Kingdom. A population-based study
Arias de la Torre, J., Vilagut, G., Ronaldson, A., Dregan, A., Ricci-Cabello, I., Hatch, S. L., Serrano-Blanco, A., Valderas, J. M., Hotopf, M., & Alonso, J. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.09.129 · Cited by 92 · see citing works
“It should also be highlighted that the relationship between age and the prevalence of depressive symptoms might vary depending on depression severity (Salk et al., 2017).”
BackgroundFredrick, S. S., Demaray, M. K., Malecki, C. K., & Dorio, N. B. (2018) · Psychology in the Schools · doi:10.1002/pits.22125 · Cited by 91 · see citing works
Rahman, M. A., Dhira, T. A., Sarker, A., & Mehareen, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0269634 · Cited by 88 · see citing works
Brain-based Sex Differences in Depression: A Systematic Review of Neuroimaging Studies
Mohammadi, S., Seyedmirzaei, H., Salehi, M. A., Jahanshahi, A., Zakavi, S. S., Firouzabadi, F. D., & Yousem, D. M. (2023) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00772-8 · Cited by 87 · see citing works
“The gender gap in incidence rates starts at age 12, peaks at adolescence (Cavanagh et al., 2016, 2017; Ogrodniczuk & Oliffe, 2011; Romans et al., 2007), and remains constant afterwards (Salk et al., 2017).”
BackgroundSheu, Y.-H., Magdamo, C., Miller, M. R., Das, S., Blacker, D., & Smoller, J. W. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00817-8 · Cited by 90 · see citing works
“Overall, the female/male ratio was 2:1 (66% female), consistent with the known gender ratio of diagnosed depression 45 .”
BackgroundDanneel, S., Geukens, F., Maes, M., Bastin, M., Bijttebier, P., Colpin, H., Verschueren, K., & Goossens, L. (2020) · Journal of Youth and Adolescence · doi:10.1007/s10964-020-01315-w · Cited by 89 · see citing works
“This finding is in line with earlier studies on gender differences in mean levels of social anxiety symptoms (e.g., Nelemans et al. 2014) and depressive symptoms (Salk et al. 2017).”
BackgroundResultAnderson, A. S., Siciliano, R. E., Henry, L. M., Watson, K. H., Gruhn, M. A., Kuhn, T. M., Ebert, J. S., Vreeland, A., Ciriegio, A. E., Guthrie, C. S., et al. (2022) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2022.105493 · Cited by 89 · see citing works
Eltokhi, A., Kurpiers, B., & Pitzer, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-67758-0 · Cited by 86 · see citing works
Zhou, J. L., Liu, Y., Ma, J., Feng, Z., Hu, J., Hu, J., & Dong, B. (2024) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-024-00841-w · Cited by 94 · see citing works
“A meta-analysis of 1.9 million individuals from over 90 countries [47] found that gender differences in depression begin to emerge at age 12, peak at age 16, decline by age 19, and stabilize in adult-hood.”
Influential
- Authors
- Salk, R. H., Hyde, J. S., & Abramson, L. Y.
- Affiliations
- University of Wisconsin–Madison (US)
- Venue
- Psychological Bulletin
- Published
- 2017-08
- Volume
- 143
- Issue
- 8
- Pages
- 783-822
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- PMC
- PMC5532074
- OpenAlex
- W2609632515
- Cited by
- 2,622
- References
- 276
- Citations by year
- 2026: 352 · 2025: 420 · 2024: 403 · 2023: 354 · 2022: 388 · 2021: 308 · 2020: 261 · 2019: 93 · 2018: 31 · 2017: 8 · 2014: 1
- FWCI
- 153.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Psychological Bulletin (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (DGE-071823; DRL 1138114)
- National Institute of Mental Health (T32 MH018269-30)
- University of Wisconsin-Madison
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Gender Studies › Gender Roles and Identity Studies
- Keywords
- gender differences, depression, depressive symptoms, adolescence, lifespan development, gender equity, cross-national comparison, health disparities, men's mental health
- MeSH terms
- Adolescent, Adult, Aged, Depression, Major Depressive Disorder, Female, Gender Identity, Humans, Male, Middle Aged, Sex Factors, Young Adult
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