Prevalence rates of anxiety, depressive, and eating pathology symptoms between the pre- and peri-COVID-19 eras: A meta-analysis
Open accessAbstract
COVID-19 emerged in 2019 and has since killed more than two and a half million people worldwide. Several studies have investigated the role of COVID-19 on the prevalence of mental health outcomes, with general findings indicating elevated rates of mental health issues as compared to the pre-COVID-19 era. However, the effect of specific demographic features is less clear. As such, we investigated whether anxiety, depressive, and eating pathology symptoms varied by gender, age, status as a medical provider (compared to the general public), race, or region of origin. Forty-three effect sizes from 36 studies indicated that all three symptoms increased from pre- to peri‑COVID-19-eras across all regions. No symptom varied by age, status as a medical provider, or race, though females were significantly more likely to experience eating pathology than males. Findings from our study indicate that worldwide, regardless of age, status as a medical provider, race, or region of origin, respondents experienced significantly elevated rates of psychopathology symptoms during the onset of the COVID-19 pandemic.
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Written from the paper’s full text.
TL;DR
This meta-analysis of 36 studies and 43 effect sizes found that anxiety, depressive, and eating pathology symptoms were more prevalent during the early COVID-19 period than before the pandemic. Most demographic moderators did not explain symptom differences, except that females reported more eating pathology than males.
Key findings
- Peri-COVID-19 prevalence estimates were 22.6% for anxiety (k = 24, 95% CI 18.3–27.6), 18.3% for depressive symptoms (k = 13, 95% CI 13.5–24.3), and 23.2% for eating pathology (k = 6, 95% CI 18.4–28.9).
- Compared with pre-COVID-19 estimates, symptoms rose significantly for anxiety (8.9% to 22.6%), depressive symptoms (8.7% to 18.3%), and eating pathology (15.3% to 23.3%), all p < .001.
- Anxiety and depressive symptoms did not vary by age, medical-provider status, or race; eating pathology had too few effects for race, age, and medical-provider moderator analyses. Eating pathology was significantly higher in females than males (B = −0.013, p = .049), while anxiety and depressive symptoms did not differ by gender.
- Regionally, symptoms were significant across all reported regions; Eastern Mediterranean estimates were elevated versus other regions (50.9%, p = .004), Pacific estimates were lower (17.6%, p = .002), and Americas and Europe did not differ from other regions. Publication bias was evident (Egger’s intercept = −8.17, p = .001).
Methods
- Systematic review and meta-analysis following PRISMA, searching PsycInfo and GoogleScholar through July 31, 2020, plus reference lists, for published and unpublished reports; 584 records were identified, 83 retained after title/abstract screening, and 36 studies with 43 unique effects were included.
- Eligible studies reported prevalence estimates for anxiety, depressive, and/or eating pathology symptoms in the COVID-19 context; treatment, qualitative, case, editorial, commentary, and combined-outcome studies were excluded. Most included studies were cross-sectional and self-report.
- Effect sizes were converted to event rates, analyzed with random-effects models because of high heterogeneity (I² = 99.160), and moderator analyses used meta-regressions for age, gender, medical-provider status, race, and region; funnel plots assessed precision, using Comprehensive Meta-Analysis.
Limitations
- The paper states significant publication bias and missing effect sizes, warns that region findings with few effects may be skewed, and notes limited racial groups reduce generalizability.
- The paper states most studies used self-report and web-based methods, potentially excluding people without reliable internet or devices and poorer populations; many used abbreviated scales without specifying included items, and cross-sectional designs prevented within-sample longitudinal comparisons, with most studies from the Pacific region, especially China.
- Evident from the text: eating pathology moderator analyses were underpowered for race, age, and medical-provider status, and pre-COVID-19 rates came from separate large studies rather than the same samples, so era comparisons are not within-person.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 22 cited sources checked · 0 supported · 0 flagged
- Findingown data
Depressive symptoms did not vary by gender.
“Meta-regressions indicated that although anxiety (B = −0.005, CI −0.018 – 0.005, p = .268) and depressive (B = 0.008, CI = −0.013 – 0.014, p = .905) symptoms did not vary by gender, symptoms of eating pathology (B = −0.013, CI – 0.022 – 0.004, p = .049) were significantly more prevalent in female participants than in male participants.”
Quote in the paperNot a substantial claim - Findingcitation
The pre-pandemic prevalence of anxiety symptoms was estimated to range from 5% to 14.4%.
“Based on effect sizes from Lowe et al. (2008), Slade et al. (2011), and Baxter et al., 2013), the pre-pandemic rate of anxiety symptoms was estimated to range from 5% to 14.4%.”
Quote in the paperSubstantial claim0 of 3 sources checked - Findingown data
The Americas region had a pooled psychopathology symptom prevalence of 41.2% (k=4, 95% CI 38.5-43.9, p<.001).
“Americas (k = 4, ER = 41.2%, 95% CI 38.5% - 43.9%, p < .001)”
Quote in the paperNot a substantial claim - Findingown data
Americas effect sizes did not differ from all other regions (z=1.3293, p=.18).
“effect sizes from the Americas (k = 4, ER = 41.2% [38.5–43.9%]) did not differ (z-score =1.3293, p = .18) from all other regions (k = 42, ER = 30.5% [30.1–30.8%])”
Quote in the paperNot a substantial claim - Findingown data
Eating pathology symptom prevalence was significantly higher in the peri-COVID-19 era than in the pre-COVID-19 era (pre 15.3%, peri 23.3%, z=16.17, p<.001).
“eating pathology (pre-COVID-19 = 15.3%; peri‑COVID-19 = 23.3%; z-score = 16.17, p < .001)”
- Also stated in: § Abstract · plain
“all three symptoms increased from pre- to peri‑COVID-19-eras across all regions.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Depressive symptoms did not vary by race.
“Anxiety (Asian [B = −0.015, 95% CI −0.035 – 0.004, p = .12], White [B = 0.025, 95% CI −0.06 – 0.04, p = .13], or Black [B = 0.22, 95% CI −0.06, 0.52, p = .13]) and depressive (Asian [B = −0.13, 95% CI −0.03 – 0.01, p = .27], White [B = 0.018, 95% CI −0.14 – 0.05, p = .27], or Black [B = 0.205, 95% CI −0.16 - 0.57, p = .27]) symptoms did not vary based on race.”
Quote in the paperNot a substantial claim - Findingown data
During the peri-COVID-19 era, the pooled prevalence of anxiety symptoms was 22.6% (k=24, 95% CI 18.3-27.6).
“during the peri‑COVID-19 era, there was substantial evidence of anxiety (k = 24, ER = 22.6%, 95% CI 18.3% - 27.6%)”
Quote in the paperSubstantial claim - Findingown data
Pacific effect sizes were significantly lower than all other regions (z=3.0908, p=.002).
“effect sizes from the Pacific (k = 29, ER = 17.6%, 95% CI [15.1–20.3%]) were significantly lower (z-score = 3.0908, p = .002) than all other regions (k = 17, ER = 39.9% [39.2–40.6%])”
Quote in the paperNot a substantial claim - Findingown data
Europe effect sizes did not differ from all other regions (z=-0.262, p=.79).
“effect sizes from Europe (k = 12, ER = 28.9, 95% CI 22.0%–36.9%, p < .001) did not differ significantly (z-score = −0.262, p = .79) from all other regions (k = 34, ER = 31.5% [31.1–1.9%])”
Quote in the paperNot a substantial claim - Findingown data
The Eastern Mediterranean region had a pooled psychopathology symptom prevalence of 50.9% (k=1, 95% CI 49.9-51.8, p=.067).
“Eastern Mediterranean (k = 1, ER = 50.9%, 95% CI 49.9%−51.8%, p = .067)”
Quote in the paperNot a substantial claim - Findingown data
Female participants showed a significantly higher prevalence of eating pathology symptoms than male participants (B=-0.013, CI -0.022-0.004, p=.049).
“Meta-regressions indicated that although anxiety (B = −0.005, CI −0.018 – 0.005, p = .268) and depressive (B = 0.008, CI = −0.013 – 0.014, p = .905) symptoms did not vary by gender, symptoms of eating pathology (B = −0.013, CI – 0.022 – 0.004, p = .049) were significantly more prevalent in female participants than in male participants.”
Quote in the paperNot a substantial claim - Findingown data
There was significant evidence of psychopathology symptoms across all reported regions (Americas, Eastern Mediterranean, Europe, Pacific).
“Effect sizes indicated there were significant evidence of symptoms of psychopathology across all reported regions.”
Quote in the paperNot a substantial claim - Findingown data
Anxiety symptoms did not vary by gender.
“Meta-regressions indicated that although anxiety (B = −0.005, CI −0.018 – 0.005, p = .268) and depressive (B = 0.008, CI = −0.013 – 0.014, p = .905) symptoms did not vary by gender, symptoms of eating pathology (B = −0.013, CI – 0.022 – 0.004, p = .049) were significantly more prevalent in female participants than in male participants.”
Quote in the paperNot a substantial claim - Findingown data
The Pacific region had a pooled psychopathology symptom prevalence of 17.6% (k=29, 95% CI 15.1-20.3, p<.001).
“Pacific (k = 29, ER = 17.6%, 95% CI 15.1% - 20.3%, p < .001)”
Quote in the paperNot a substantial claim - Findingown data
Eastern Mediterranean effect sizes were significantly elevated compared to all other regions (z=2.8068, p=.004).
“effect sizes from Eastern Mediterranean (k = 1, ER = 50.9%, 95% CI [49.9%−51.8%]) were significantly elevated (z-score = 2.8068, p = .004) as compared to all other regions (k = 45, ER = 26.5%, 95% CI [26.1 – 26.9])”
Quote in the paperNot a substantial claim - Findingown data
Anxiety symptoms did not vary between samples recruited and not recruited on the basis of being a medical provider.
“Meta-regression indicated that anxiety (B = −0.04, 95% CI −0.61 – 0.52, p = .87) and depressive (B = 0.19, 95% CI −0.53 – 0.91, p = .60) symptoms did not vary between samples who were and were not recruited on the basis as a medical provider.”
Quote in the paperNot a substantial claim - Findingown data
Depressive symptom prevalence was significantly higher in the peri-COVID-19 era than in the pre-COVID-19 era (pre 8.7%, peri 18.3%, z=15.12, p<.001).
“depressive (pre-COVID-19 = 8.7%; peri‑COVID-19 = 18.3%; z-score = 15.12, p < .001)”
- Also stated in: § Abstract · plain
“all three symptoms increased from pre- to peri‑COVID-19-eras across all regions.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
During the peri-COVID-19 era, the pooled prevalence of eating pathology symptoms was 23.2% (k=6, 95% CI 18.4-28.9).
“eating pathology (k = 6, ER = 23.2%, 95% CI 18.4% - 28.9%)”
Quote in the paperSubstantial claim - Findingown data
Depressive symptoms did not vary by age.
“we found that anxiety (B = 0.004, 95% CI −0.08 – 0.09, p = .92) and depressive (B = 0.006, 95% CI −0.016 – 0.11, p = .91) symptoms did not vary by age.”
Quote in the paperNot a substantial claim - Findingown data
Anxiety symptoms did not vary by race (Asian, White, or Black).
“Anxiety (Asian [B = −0.015, 95% CI −0.035 – 0.004, p = .12], White [B = 0.025, 95% CI −0.06 – 0.04, p = .13], or Black [B = 0.22, 95% CI −0.06, 0.52, p = .13]) and depressive (Asian [B = −0.13, 95% CI −0.03 – 0.01, p = .27], White [B = 0.018, 95% CI −0.14 – 0.05, p = .27], or Black [B = 0.205, 95% CI −0.16 - 0.57, p = .27]) symptoms did not vary based on race.”
Quote in the paperNot a substantial claim - Findingown data
During the peri-COVID-19 era, the pooled prevalence of depressive symptoms was 18.3% (k=13, 95% CI 13.5-24.3).
“depressive (k = 13, ER = 18.3%, 95% CI 13.5% - 24.3%)”
Quote in the paperSubstantial claim - Findingown data
Anxiety symptom prevalence was significantly higher in the peri-COVID-19 era than in the pre-COVID-19 era (pre 8.9%, peri 22.6%, z=17.34, p<.001).
“across anxiety (pre-COVID-19 = 8.9%; peri‑COVID-19 = 22.6%; z-score = 17.34, p < .001)”
- Also stated in: § Abstract · plain
“all three symptoms increased from pre- to peri‑COVID-19-eras across all regions.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Anxiety symptoms did not vary by age.
“we found that anxiety (B = 0.004, 95% CI −0.08 – 0.09, p = .92) and depressive (B = 0.006, 95% CI −0.016 – 0.11, p = .91) symptoms did not vary by age.”
Quote in the paperNot a substantial claim - Findingown data
The pre-pandemic prevalence of eating pathology symptoms was estimated to range from 9.4% to 23.6%.
“Taken together, effect sizes from these studies indicated that the pre-pandemic prevalence rate of symptoms of eating pathology ranged from 9.4% to 23.6%.”
Quote in the paperSubstantial claim0 of 3 sources checked - Findingreasoning
The pre-pandemic prevalence of depressive symptoms was estimated to range from 6.2% to 11.5%.
“Based on effect sizes from these large studies (Ell et al., 2006; Ko et al., 2012, Slade et al., 2011), we determined pre-pandemic rate of depressive symptoms to range from 6.2% to 11.5%.”
Quote in the paperSubstantial claim0 of 3 sources checked - Findingown data
The Europe region had a pooled psychopathology symptom prevalence of 28.9% (k=12, 95% CI 22.0-36.9, p<.001).
“Europe (k = 12, ER = 28.9%, 95% CI 22.0% - 36.9%, p < .001)”
Quote in the paperNot a substantial claim - Findingown data
Depressive symptoms did not vary between samples recruited and not recruited on the basis of being a medical provider.
“Meta-regression indicated that anxiety (B = −0.04, 95% CI −0.61 – 0.52, p = .87) and depressive (B = 0.19, 95% CI −0.53 – 0.91, p = .60) symptoms did not vary between samples who were and were not recruited on the basis as a medical provider.”
Quote in the paperNot a substantial claim - Findingown data
The peri-COVID-19 era prevalence rate of anxiety symptoms was 22.6%.
“anxiety symptoms (prevalence rate of 22.6%)”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
The pre-COVID-19 era prevalence rate of depressive symptoms was 8.7%.
“depressive (pre-COVID-19 = 8.7%; peri‑COVID-19 = 18.3%)”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
Substantial evidence of anxiety, depressive, and eating pathology symptoms was present during the peri-COVID-19 era.
“there was substantial evidence of anxiety, depressive, and eating pathology symptoms within the peri‑COVID-19 era”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
The pre-COVID-19 era prevalence rate of eating pathology symptoms was 15.3%.
“eating pathology (pre-COVID-19 = 15.3%; peri‑COVID-19 = 23.3%)”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
The peri-COVID-19 era prevalence rate of eating pathology symptoms was 23.3%.
“eating pathology symptoms (prevalence rate of 23.3%)”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
There were no significant gender-based differences in anxiety or depressive symptoms in the peri-COVID-19 era.
“moderator analyses from our work indicated that there were no significant gender-based differences in symptoms of anxiety or depression, such that men and women did not vary in their experience of anxiety or depressive symptoms.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
The pre-COVID-19 era prevalence rate of anxiety symptoms was 8.9%.
“anxiety (pre-COVID-19 = 8.9%; peri‑COVID-19 = 22.6%)”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingreasoning
Women experienced greater eating pathology symptoms than men during the peri-COVID-19 era.
“Notably, women experienced greater symptoms of eating pathology during COVID-19—consistent with pre-COVID-19 rates of eating pathology—suggesting that pre-pandemic gender-based differential between eating pathology symptoms held.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
The largest increase between the pre- and peri-COVID-19 eras was in anxiety symptoms.
“The most substantial increase appears to be within anxiety symptoms.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
Age did not significantly predict differences in anxiety, depressive, or eating pathology symptoms in the peri-COVID-19 era.
“moderator analyses indicated that symptoms of psychopathology did not vary by age, in either direction”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
Prevalence rates of anxiety, depressive, and eating pathology symptoms were statistically significantly higher in the peri-COVID-19 era than in the pre-COVID-19 era.
“participants experienced statistically significantly increased prevalence rates of symptoms of anxiety, depression, and eating pathology in the peri‑ as compared to the pre-COVID-19 era.”
- Also stated in: § Discussion · plain
“peri‑COVID-19 era prevalence rates of anxiety, depressive, and eating pathology symptoms are elevated as compared to pre-COVID-19 era rates”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Also stated in: § Discussion · plain
- Findingown data
The peri-COVID-19 era prevalence rate of depressive symptoms was 18.3%.
“depressive symptoms (prevalence rate of 18.3%)”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Findingown data
Inspection of funnel plots indicated many effect sizes were missing to the right of the mean, suggesting that substantial evidence of psychopathology symptoms is left out of the literature.
“Further, upon inspection of funnel plots (see Fig. 3 ), we found significant evidence indicating that there were many effect sizes missing to the right of the mean, likely indicating that there is substantial evidence of symptoms of psychopathology that is left out of the literature.”
Quote in the paperNot a substantial claim - Study design and conductown data
All analyses employed random effects models because of significant heterogeneity (I-squared = 99.160).
“Given the significant evidence of heterogeneity (I-squared = 99.160) and consistent with the broader literature, all analyses employed random effects models.”
Quote in the paperSubstantial claim - Study design and conductown data
For race, eating pathology symptoms were too sparsely reported to support adequately powered analyses.
“Finally, symptoms of eating pathology were not reported sufficiently in the literature to result in adequately powered analyses, thus we did not report if symptoms of eating pathology varied by race.”
Quote in the paperSubstantial claim - Study design and conductown data
Few effect sizes measured peri-COVID-19 prevalence of specific eating disorders.
“we noticed that effect sizes measuring peri‑COVID-19 era prevalence rates of symptoms of specific eating disorders—such as Anorexia Nervosa, Bulimia Nervosa, or Avoidant/Restrictive Food Intake Disorder—were relatively sparse.”
Quote in the paperSubstantial claim - Study design and conductown data
For age, eating pathology effect sizes were too few for adequately powered analyses.
“Again, effect sizes related to symptoms of eating pathology were insufficient for adequately powered analyses. Thus, those are not reported.”
Quote in the paperNot a substantial claim - Premisecitation
Even before the pandemic, women had higher prevalence of anxiety, depressive, and eating pathology symptoms.
“women experienced higher prevalence rates of anxiety, depressive, and eating pathology symptoms even prior to the pandemic”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Soon after COVID-19 began, many studies reported sharp rises in anxiety, depressive, and eating pathology symptoms.
“Immediately following the onset of COVID-19, many studies noted steep increases in the experience of anxiety, depressive, and eating pathology symptoms (Qiu et al., 2021, Taylor et al., 2020a; Wang et al., 2020).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The COVID-19 era produced unanimously deleterious effects on mental health across studies.
“with the COVID-19 era producing unanimously deleterious effects.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Study design and conductown data
The meta-analysis found significant evidence of publication bias, with an Egger's regression intercept of −8.17 (95% CI −12.96 to −3.38, p = .001).
“Overall, there was significant evidence of publication bias (Egger's regression intercept = −8.17, 95% CI −12.96 - −3.38, p = .001).”
Quote in the paperNot a substantial claim - Interpretationown data
Except for a few cases, symptom elevations during the peri-COVID-19 era did not differ according to race, age, gender, medical provider status, or region of origin.
“with few exceptions, elevations appear to be pervasive, as symptoms of psychopathology did not vary by race, age, gender, status as a medical provider, and region of origin.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Study design and conductown data
Findings may not be wholly generalizable because statistical analyses were limited to few racial groups.
“it is unclear whether findings are wholly generalizable, as statistical analyses were limited to few racial groups.”
Quote in the paperNot a substantial claim - Study design and conductown data
Most studies in the review came from the Pacific region, especially China.
“the majority of studies included in our review were conducted in the Pacific region, stemming primarily from China.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Anxiety, depressive, and eating pathology symptoms were pervasively and unanimously affected by the COVID-19 era across every demographic group studied.
“the COVID-19-era produced pervasive and unanimous effects related to anxiety, depressive, and eating pathology symptoms across all demographics studied.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Interpretationown data
During the early months of the pandemic, the broad impacts of COVID-19 were accompanied by higher levels of anxiety, depressive, and eating pathology symptoms.
“The far-reaching effects of COVID-19 corresponded with increased experience of anxiety, depressive, and eating pathology symptoms during the early months of the pandemic.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
- Study design and conductnone given
Most studies relied exclusively on self-report measures.
“most studies relied exclusively on self-report measures”
Quote in the paperNot a substantial claim - Study design and conductown data
The review's included studies mostly used cross-sectional designs to assess psychopathology while COVID-19 was ongoing.
“most studies employed cross-sectional methods that measured psychopathology during the time of COVID-19.”
Quote in the paperSubstantial claim
- May combine two claims. 13
- Classified as probably not a substantial claim. 12
May combine two claims.
Findingown dataThe meta-analysis included 36 studies with 43 unique effect sizes.
“In all, 36 studies were eligible, with 43 unique effects.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe Americas and Mediterranean regions appeared to have more symptoms of psychopathology, but these studies had fewer effect sizes and the effects may be skewed.
“although the Americas and Mediterranean regions appear to have more symptoms of psychopathology, these studies also had fewer effect sizes, and the effects that did emerge may be skewed.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRegion of origin did not significantly predict differences in anxiety, depressive, or eating pathology symptoms in the peri-COVID-19 era.
“our findings indicated that the increase in psychopathology symptoms did not vary by region.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
May combine two claims.
Findingown dataStatus as a medical provider did not significantly predict differences in anxiety, depressive, or eating pathology symptoms in the peri-COVID-19 era.
“moderator analyses again indicated that symptoms were elevated across the entire sample, regardless of status as a medical provider.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
May combine two claims.
Findingown dataRace did not significantly predict differences in anxiety, depressive, or eating pathology symptoms in the peri-COVID-19 era.
“moderator analyses of available literature did not support this hypothesis, as psychopathology symptoms were experienced at similar rates across racial groups.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe authors followed PRISMA guidelines for the review.
“The review was conducted according to the PRISMA guidelines (www.prisma-statement.org/).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataHigh between-effect-size heterogeneity suggests that samples differed substantially in psychopathology experiences, possibly due to sample-specific features.
“The elevated level of heterogeneity between effect sizes indicates that between samples, there were significantly differing experiences of psychopathology, perhaps pointing to specific features within each sample accounting for between-study variance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe review considered both published and unpublished reports.
“Both published and unpublished reports were considered in the review process.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCOVID-19 morbidity and mortality are lower among young people.
“as young people experience lower rates of morbidity and mortality due to COVID-19 (WHO, 2020)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites WHO, 2020
Not checked in the free run.
May combine two claims.
Interpretationown dataThe authors conclude that during the initial COVID-19 period, psychopathology symptom rates were significantly higher worldwide and did not depend on age, medical-provider status, race, or region.
“Findings from our study indicate that worldwide, regardless of age, status as a medical provider, race, or region of origin, respondents experienced significantly elevated rates of psychopathology symptoms during the onset of the COVID-19 pandemic.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationA study of 4550 inpatients reported more psychopathology, including suicidal ideation, and longer hospital stays in the COVID-19 era than before it (Boldrini et al., 2021).
“In a study of 4550 inpatients, researchers found evidence of increased psychopathology (i.e., suicidal ideation) and the need for longer hospital stays during the COVID-19 era, as compared to the pre-COVID-19 era (Boldrini et al., 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Boldrini et al., 2021 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe precision of estimates was assessed with funnel plots.
“Funnel plots were used to assess the precision of estimates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenK.M.S. performed the initial searches; A.L. oversaw later checking and searches; classification disagreements were settled by consensus.
“The initial data searches were conducted by K.M.S. Subsequent data checking and searches were overseen by A.L., and mismatches in classification of studies were resolved by consensus.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataEating pathology was left out of the medical-provider meta-regression because too few effect sizes were available.
“Symptoms of eating pathology were omitted from meta-regression based on insufficient number of effect sizes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWHO's 2019 reports gave global prevalence rates of 4% for anxiety, 5% for depression, and 9% for eating pathology diagnoses.
“the WHO released its annual reports of the global prevalence rates of anxiety, depression, and eating pathology diagnoses (4%, 5%, and 9%, respectively; WHO, 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites WHO, 2019
Not checked in the free run.
May combine two claims.
InterpretationreasoningParticipants reported higher psychopathology symptoms in the peri-COVID-19 era than in the pre-COVID-19 era across all examined demographic groups: gender, age, race, medical provider status, and geographic location.
“Regardless of gender, age, race, status as a medical provider, or geographic location, participants reported increased symptoms of psychopathology in the peri‑ as compared to the pre-COVID-19 era.”
Quote in the paperSubstantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMany studies employed abbreviated versions of scales and did not specify which items were included.
“many studies employed abbreviated versions of these scales, and those studies did not articulate specifically which items were included in their abbreviated measures.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe rates were similar to those in the five years before 2019, suggesting stability.
“These values were similar to the five years preceding 2019, indicating that the prevalence rates of these specific forms of psychopathology were relatively stable.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites WHO, 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent literature from an Italian sample indicates that vulnerability and helplessness contribute to the development and exacerbation of psychopathology.
“Recent literature within an Italian sample points to vulnerability and helplessness as contributors to the development and exacerbation of psychopathology (Rossi et al., 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rossi et al., 2021 source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningThe substantial increase in anxiety symptoms likely reflects concerted but partly thwarted attempts to prepare for an uncertain and unprecedented course of events.
“That is, the substantial increase in anxiety symptoms likely reflects concerted, yet to a degree thwarted attempts, to prepare for an uncertain, unprecedented course of events.”
Quote in the paperNot a substantial claim- Rests on an assumption: The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
May combine two claims.
Study design and conductnone givenStudies were primarily completed over web-based formats, excluding participants without reliable internet or electronic devices.
“they were primarily completed over web-based formats excluding participants who do not have reliable access to internet or electronic devices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome authors viewed race/ethnicity as moderating the link between COVID-19 onset and psychopathology, often citing misinformation and racist remarks.
“Still others conceptualized race/ethnicity as a moderating factor between the onset of COVID-19 and psychopathology, generally attributing this moderating effect to misinformation and racist remarks expressed by national and international leaders (Lee and Crunk, 2020; Tanhan et al., 2020).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Lee and Crunk, 2020
Not checked in the free run.
- cites Tanhan et al., 2020
Not checked in the free run.
The paper relies on this without support.
Before this study, the influence of particular demographic characteristics on mental health outcomes during COVID-19 was not well established.
“However, the effect of specific demographic features is less clear.”
The paper relies on this without support.
The pre-2019 prevalence estimates drawn from large, varied studies can stand in for the pre-COVID-19 rates of the samples analyzed here.
“We estimated the pre-COVID-19 prevalence rate of anxiety, depressive, and eating pathology symptoms by searching the literature and extracting pre-pandemic prevalence rates from large, diverse studies that were published prior to 2019”
The paper relies on this without support.
General eating pathology symptoms are equivalent enough across the pre- and peri-COVID-19 periods to represent eating pathology.
“In doing so, we compared pre- and peri‑COVID-19 era prevalence rates of similar phenomena: symptoms of general eating pathology, as opposed to specific eating disorders.”
The paper relies on this without support.
Despite varied measures and samples, the included prevalence estimates can be combined into one event-rate metric.
“All effect sizes were transformed into a single common metric, event rate, which indicated the number of participants in each sample endorsing anxiety, depressive, and eating pathology symptoms.”
The paper relies on this without support.
The self-report measures used across the included studies validly and reliably assess anxiety, depressive, and eating pathology symptoms.
“most studies relied exclusively on self-report measures”
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.
Discussion denies regional differences reported in the results
MajorThe discussion says symptoms did not vary by region, whereas the results report significantly higher rates for the Eastern Mediterranean and significantly lower rates for the Pacific relative to other regions.
“Despite this, our findings indicated that the increase in psychopathology symptoms did not vary by region.”
“Finally, effect sizes from the Pacific (k = 29, ER = 17.6%, 95% CI [15.1–20.3%]) were significantly lower (z-score = 3.0908, p = .002) than all other regions (k = 17, ER = 39.9% [39.2–40.6%]).”
A regional estimate lies outside its printed confidence interval
MinorThe estimate for regions other than Europe is 31.5%, but its printed interval is 31.1%-1.9%. The endpoints are reversed, and neither an interval between them nor the printed ordering contains the estimate.
“from all other regions (k = 34, ER = 31.5% [31.1–1.9%]).”
“ER = 31.5% [31.1–1.9%]”
One region is called significant despite its reported p-value
MinorThe Eastern Mediterranean result has p = .067, yet the next sentence says the evidence was significant across all reported regions.
“Eastern Mediterranean (k = 1, ER = 50.9%, 95% CI 49.9%−51.8%, p = .067)”
“Effect sizes indicated there were significant evidence of symptoms of psychopathology across all reported regions.”
Asian depressive-symptom coefficient falls outside its confidence interval
MinorThe reported coefficient is −0.13, whereas its stated 95% confidence interval runs from −0.03 to 0.01. The interval does not contain its own point estimate.
“Asian [B = −0.13, 95% CI −0.03 – 0.01, p = .27]”
“95% CI −0.03 – 0.01”
The stated gender hypothesis reverses between sections
MinorThe introduction says the authors expected more symptoms in women. The discussion instead describes a hypothesis that men would have more symptoms than women.
“We also expected that symptoms would be more prevalent in women, as women experienced higher rates of anxiety, depressive, and eating pathology symptoms even before the onset of the pandemic.”
“Given the substantially poorer outcomes that men experience, we hypothesized that men would experience increased symptoms of psychopathology, as compared to their female counterparts.”
Two different peri-pandemic eating-pathology rates are reported
MinorThe peri-pandemic eating-pathology estimate is given as 23.2% in one results section and 23.3% in the comparison section. Both are printed to one decimal place.
“eating pathology (k = 6, ER = 23.2%, 95% CI 18.4% - 28.9%) symptoms.”
“eating pathology (pre-COVID-19 = 15.3%; peri‑COVID-19 = 23.3%; z-score = 16.17, p < .001)”
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Fear of COVID-19, insomnia, and eating disorder symptoms among Iranian college students
Sahlan, R. N., Kinkel‐Ram, S. S., Uzoegwu, K., & Smith, A. R. (2023) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2023.100601 · Cited by 13 · see citing works
“In particular, our findings support growing literature that the chronic stress and psychological distress exerted by anxiety and fear around the COVID-19 pandemic has deleterious effects on ED symptoms (Mehak et al., 2022; Schafer et al., 2022).”
InfluentialYager, Z. (2024) · Eating Disorders · doi:10.1080/10640266.2024.2364523 · Cited by 13 · see citing works
“Further, body image concerns, depression, anxiety, and eating disorder symptoms were reported to increase by more than 50% during the COVID-19 pandemic (Khraisat et al., 2022; Schafer et al., 2022).”
Tam, C. C., Qiao, S., Garrett, C. M., Zhang, R., Aghaei, A., Aggarwal, A., Litwin, A. H., & Li, X. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289413 · Cited by 13 · see citing works
“This correlation is in line with COVID-19 research, which indicates that alcohol consumption was higher in smokers during the pandemic [51].”
Havnen, A., Lydersen, S., Mandahl, A., & Lara‐Cabrera, M. L. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1176298 · Cited by 11 · see citing works
Schafer, K. M., Wilson, E., & Joiner, T. E. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.06.047 · Cited by 12 · see citing works
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“[6,7] In Saudi-based studies, moderate to severe depressive symptoms were reported in 17.1% to 28.3% of the study populations; 10% to 24% of participants reported moderate to severe anxiety symptoms, and 12% to 22.3% reported moderate to severe stress levels.”
InfluentialKankaynar, M., Ceyhun, H. A., Baran, A., Sulukan, E., Yıldırım, S., Bolat, İ., Toraman, E., Nadaroğlu, H., Arslan, M., & Ceyhun, S. B. (2023) · Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology · doi:10.1016/j.cbpc.2023.109621 · Cited by 12 · see citing works
Monthuy‐Blanc, J., Corno, G., & Chabake, S. A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1139261 · Cited by 13 · see citing works
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“Concerningly, body image concerns, depression, anxiety, and eating disorder symptoms have increased by more than 50% during the COVID-19 pandemic [3,4].”
Rossi, C., Salve, F. D., Agliati, M., & Oasi, O. (2022) · Research in Psychotherapy Psychopathology Process and Outcome · doi:10.4081/ripppo.2022.609 · Cited by 12 · see citing works
“The mental health of the general worldwide population has been explored in a recent meta-analysis conducted by Schafer et al. (2022).”
Zhang, J., Zhang, E., Cui, S., Zhang, L., Ren, B., Jin, Q., Li, H., Chen, M., Li, R., Xu, Y. J., et al. (2025) · Asian Journal of Social Health and Behavior · doi:10.4103/shb.shb_302_24 · Cited by 10 · see citing works
Veeroja, P., Goodall, Z., Guity-Zapata, N. A., & Stone, W. M. (2023) · Journal of Housing and the Built Environment · doi:10.1007/s10901-023-10038-w · Cited by 10 · see citing works
“…rental tenures are considered second-best in housing aspirations literature (Stone et al., 2020) and are associated with tenure insecurity, affordability concerns (Hulse & Mil-ligan, 2014; Kemp, 2002; Pawson et al., 2017) and lower health outcomes (Baker et al., 2020b; Schafer et al., 2022).”
Continuous remote monitoring of neurophysiologic Immersion accurately predicts mood
Merritt, S. H., & Zak, P. J. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1397557 · Cited by 9 · see citing works
Lahlou, L., Ziouziou, I., Abdelnaby, A., Kharroubi, A., Wakrim, S., Mouhadi, K., & Ajdi, F. (2022) · Electronic Journal of General Medicine · doi:10.29333/ejgm/12155 · Cited by 9 · see citing works
Karlafti, E., Benioudakis, E. S., Barouxi, E., Kaiafa, G. D., Didangelos, T., Fountoulakis, K. Ν., Pagoni, S., & Savopoulos, C. G. (2022) · Psychiatriki · doi:10.22365/jpsych.2022.067 · Cited by 9 · see citing works
Kaya, F., & ÇELEBİ, G. Y. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1550108 · Cited by 10 · see citing works
Penava, P., & Buettner, R. (2024) · IEEE Access · doi:10.1109/access.2024.3502540 · Cited by 10 · see citing works
“Following the COVID-19 pandemic, the prevalence of people with psychiatric disabilities and depression has also increased [5].”
InfluentialBenefit Information’s Impact on Ornamental Plant Value
Rihn, A., Knuth, M. J., Behe, B. K., et al. (2023) · Horticulturae · doi:10.3390/horticulturae9070740 · Cited by 8 · see citing works
Monthuy‐Blanc, J., Corno, G., Bouchard, S., St-Pierre, M.-J., Bourbeau, F., Mostefa-Kara, L., Therrien, É., & Rousseau, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.949373 · Cited by 8 · see citing works
“An increasing number of studies published since the COVID-19 outbreak establish both an increase and a plurality of eating disorders in clinical population and disordered eating behaviors in the general population, especially in women and girls (Robertson et al., 2021; Schafer et al., 2022).”
Santopetro, N. J., Jones, D. N., Garron, A., Meyer, A. M., Joyner, K. J., & Hajcak, G. (2024) · JMIR Mental Health · doi:10.2196/54252 · Cited by 8 · see citing works
James, M. M., Rodrigues, J., Montoya, M. N., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.913096 · Cited by 7 · see citing works
Bourbeau, F., Bouchard, S., Corno, G., & Monthuy‐Blanc, J. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14020597 · Cited by 6 · see citing works
Araújo, I. M., Silva, A. D. A., Pereira-de-Morais, L., et al. (2024) · Fitoterapia · doi:10.1016/j.fitote.2024.106303 · Cited by 6 · see citing works
Zhang, X., Pines, A. R., Stetz, P. C., Goldstein‐Piekarski, A. N., Xiao, L., Lv, N., Tozzi, L., Lavori, P. W., Snowden, M. B., Venditti, E. M., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adh3172 · Cited by 6 · see citing works
Hussey, L. J., Kontopantelis, E., Mok, P. L. H., Ashcroft, D. M., Carr, M., Garg, S., Chew-Graham, C. A., Kapur, N., Lovell, K., & Webb, R. T. (2024) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.14026 · Cited by 6 · see citing works
“Conversely, two systematic reviews examining rates of mental distress pre and ‘peri’ COVID found no evidence of any differential change by ethnicity (Patel et al., 2022; Schafer, Lieberman, Sever, & Joiner, 2022).”
Quality of Life and Loneliness Among American Military Veterans
Schafer, K. M., Campione, M. T., & Joiner, T. E. (2024) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000001776 · Cited by 6 · see citing works
Self-citationCharacteristics of Family Physicians Practicing Collaboratively With Behavioral Health Professionals
Tong, S. T., Morgan, Z. J., Stephens, K. A., Bazemore, A., & Peterson, L. E. (2023) · The Annals of Family Medicine · doi:10.1370/afm.2947 · Cited by 6 · see citing works
Enhanced Recovery After Surgery Is Still Powerful for Colorectal Cancer Patients in COVID-19 Era
Tan, L. H., Peng, D., & Cheng, Y. (2022) · Journal of Laparoendoscopic & Advanced Surgical Techniques · doi:10.1089/lap.2022.0393 · Cited by 6 · see citing works
Silva, R. R., Santos, D. D. A. T., Costa, B. A., Farias, N. C., Braz, A. G., Costa, G. D. C. T., Andrade, M. S., Vancini, R. L., Weiss, K., Knechtle, B., et al. (2023) · Acta Neuropsychiatrica · doi:10.1017/neu.2023.4 · Cited by 5 · see citing works
“In addition to fear, a significant increase in anxiety and depression symptoms has been noticed in the population due to COVID-19 (CDC, 2021a; Schafer et al ., 2022).”
Happiness in pre-pandemic Europe: correlates of individual happiness prior to Covid
DiCosimo, A., & Kelly, B. D. (2022) · Irish Journal of Psychological Medicine · doi:10.1017/ipm.2022.47 · Cited by 5 · see citing works
Georgi, H., Dragomirecká, E., Tichá, Z., & Mana, J. (2025) · Depression and Anxiety · doi:10.1155/da/2522358 · Cited by 7 · see citing works
“…would not be expected to be so prominent, though, as the initial increase of mental health issues in the fi rst year was signi fi cant in all age groups [53], but it was shown to decline with time and the older generations were surprisingly resilient in comparison to young people (e.g. [54]).”
Trujillo-Villarreal, L. A., Cruz-Carrillo, G., Ángeles-Valdéz, D., Garza‐Villarreal, E. A., & Camacho‐Morales, A. (2024) · eNeuro · doi:10.1523/eneuro.0194-23.2023 · Cited by 4 · see citing works
“Notably, the COVID-19 pandemic promoted a dramatic increase in anxiety and depression diagnoses, adding up to 13.7 and 9.6% of total worldwide cases, respectively, regardless of sex, age, race, or geographic location (Deng et al., 2021; Sahebi et al., 2021; Schafer et al., 2022).”
InfluentialShin, M., Crouse, J. J., Byrne, E. M., Mitchell, B. L., Lind, P. A., Parker, R., Tonini, E., Carpenter, J. S., Wray, N. R., Colodro‐Conde, L., et al. (2024) · BMJ Mental Health · doi:10.1136/bmjment-2024-301067 · Cited by 4 · see citing works
The impact of organizational education on nurses’ career resilience during the COVID-19 pandemic
Mohammad, A., Hir, T. A., Jabraeili, M., & Mohammadpour, E. (2023) · Research and Development in Medical Education · doi:10.34172/rdme.2023.33107 · Cited by 3 · see citing works
Mitchell, A. M., Seely, H. D., & Pössel, P. (2022) · International Perspectives in Psychology · doi:10.1027/2157-3891/a000044 · Cited by 4 · see citing works
Garcia, S., Hopfer, S., Botes, E., & Greiff, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052872 · Cited by 3 · see citing works
“Some studies have found non-White individuals reported higher levels of anxiety during the pandemic [16,17], although the literature is not conclusive [18].”
Boskabadi, S. J., Kargar-Soleimanabad, S., Mehrpisheh, S., Pishavar, E., & Farhadi, R. (2021) · Annals of Medicine and Surgery · doi:10.1016/j.amsu.2021.103119 · Cited by 4 · see citing works
Алексеевна, С. А., Khidirova, L. D., Васильевна, Ц. О., & Лукинов, В. Л. (2023) · Russian Journal of Preventive Medicine · doi:10.17116/profmed20232604143 · Cited by 3 · see citing works
Carr, D. C., Sheffler, J., Meynadasy, M. A., Schmidt, N. B., Hajcak, G., & Sachs‐Ericsson, N. (2023) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2023.2191825 · Cited by 3 · see citing works
“…COVID-19 among older adults Despite universal elevations in problematic psychological symptoms and behaviors associated with the COVID-19 pandemic (Schafer et al., 2022), the effects of the pandemic on wellbeing may have influenced older people in different ways than adults of younger ages…”
Anxiety And Fear of COVID-19 Among Shantytown Dwellers In The Megacity Of Lima
Sotomayor-Beltran, C., Perez-Siguas, R. E., Matta-Solis, H. H., Jimenez, A. P., & Matta-Perez, H. (2022) · The Open Public Health Journal · doi:10.2174/18749445-v15-e221026-2022-69 · Cited by 3 · see citing works
Eating Disorders Behaviour and Body Shape, Self-esteem, Body Mass Index Level Relationship in China
Zeng, G., Othman, A. T., Khairani, A. Z., & Salleh, K. M. (2022) · International Journal of Academic Research in Progressive Education and Development · doi:10.6007/ijarped/v11-i1/12123 · Cited by 3 · see citing works
“It is originated around of more factors, like family, friends, culture, image, etc (Schafer et al., 2021; Kanbur et al., 2021; Fatt et al., 2021).”
Yang, C., Gu, X., Chen, X., et al. (2025) · Social Behavior and Personality An International Journal · doi:10.2224/sbp.13976 · Cited by 2 · see citing works
Kowalsky, J. M., Mitchell, A. M., & Okdie, B. M. (2024) · Stress and Health · doi:10.1002/smi.3490 · Cited by 3 · see citing works
Risk and protective correlates of suicidality in the military health and well-being project
Schafer, K. M., Melia, R., & Joiner, T. E. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.07.141 · Cited by 2 · see citing works
Self-citationFonseca, A. A., Roy, M., Lacasse, A., Léonard, G., Rainville, P., Marin, M., Tufa, I., Gentile, E. L., & Pagé, M. G. (2024) · PAIN Reports · doi:10.1097/pr9.0000000000001165 · Cited by 2 · see citing works
Wijaya, L., Ng, K. C., Cheng, K. M., & Sihombing, P. R. (2024) · International Conference on Computers in Management and Business (ICCMB) · doi:10.1145/3647782.3647807 · Cited by 2 · see citing works
Tie, B., Zhu, C., He, J., & Qiu, J. (2023) · Journal of Eating Disorders · doi:10.1186/s40337-023-00952-3 · Cited by 2 · see citing works
“Although some studies have shown that the two are closely related [12, 14, 26], our results indicate that the direct condition of individuals’ disordered eating is from other factors.”
Psycho-Cardiological Disease in COVID-19 Era
Tian, P., Liu, Y., Wang, J., Xing, L., & Liu, P. (2023) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm2408239 · Cited by 2 · see citing works
“A meta-analysis comparing people before and after COVID-19 displayed that the prevalence of anxiety rose from 8.9% to 22.6%, while the prevalence of depression rose from 8.7% to 18.3% [10].”
InfluentialExploring Aesthetic Chills as a Biomarker in DepressionPreprint
Schoeller, F., Jain, A., Maes, P., & Reggente, N. (2023) · doi:10.31234/osf.io/x26df · Cited by 1 · see citing works
Pandemieassoziierte Konsequenzen und Unterstützungsbedarf
Bendau, A., Plag, J., Schulz, L., Petzold, M. B., & Ströhle, A. (2022) · Die Psychotherapie · doi:10.1007/s00278-022-00631-9 · Cited by 2 · see citing works
“Das dynamische Infektionsgeschehen sowie die restriktivenMaßnahmen zur Eindämmung der Pandemie können sich auf zahlreiche Bereiche des Lebens auswirken (Cénat et al. 2021; Schafer et al. 2022; Bourmistrova et al. 2022).”
Severe Panic Disorder After Vaccination With the Pfizer-BioNTech Vaccine
Melo, I. M. D. S., & Magalhães, P. V. D. S. (2022) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0000000000001623 · Cited by 2 · see citing works
Suizidales Erleben und Verhalten im Rahmen der COVID-19-Pandemie
Teismann, T., Lewitzka, U., & Brieger, P. (2022) · Nervenheilkunde · doi:10.1055/a-1755-1648 · Cited by 2 · see citing works
Marzola, E., Daga, G. A., Scumaci, E., Ponzo, V., Goitre, I., Pellegrini, M., D’Eusebio, C., Benso, A. S., Belcastro, S., Michieli, F. D., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11030862 · Cited by 3 · see citing works
“Indeed, the SARS-CoV-2 pandemic had notoriously accentuated stress, anxiety, and depression in the general population [27], particularly in subjects with previous psychiatric symptomatology [28].”
Perceived naturalness and wellbeing: Differential benefits for marginalized and privileged groups
Jazi, E., Dietsch, A. M., van den Bosch, M. A., Mas, M. T., Meitner, M. J., Atkisson, C. J., Thomson, A., & Park, K. (2026) · Urban forestry & urban greening · doi:10.1016/j.ufug.2026.129448 · Cited by 1 · see citing works
Patterns of Ongoing Thought Are Associated With Emotion Regulation and Negative Affect in Daily Life
Wang, R., Bas, L. M., Janet, R., Smallwood, J., Xu, Y., Morawetz, C., & Tusche, A. (2026) · Affective Science · doi:10.1007/s42761-026-00355-y · Cited by 1 · see citing works
“Given the surge in mental health challenges like depression, anxiety, and loneliness following the COVID-19 pandemic (Santini & Koyanagi, 2021 ; Schafer et al., 2022 ; Van der Velden et al., 2021 ), these results are particularly timely.”
Jáudenes-Marrero, J. R., Gutiérrez, Á. J., Marrero, C. M., Rubio, C. V., Montelongo, S. P., Alejandro-Vega, S., de Bustillo-Alfaro, R. A. M., Hardisson, A., Carrascosa, C., Abdala, S., et al. (2026) · Foods · doi:10.3390/foods15050958 · Cited by 1 · see citing works
Psychological risk and protective factors of immunity: a cross-cultural network analysis
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“…by country or in the total sample, we found a direct negative link between stress and immunity in the total sample (as seen in the DAG) levels of anxiety experienced globally, especially in relation to illness, may have influenced the dynamic between stress and immunity (Schafer et al., 2022).”
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Veterans and Nonveterans Coping With Stress During 4 Months of COVID-19
Butler, J. M., Wang, X., Riddoch, M. S., Thorpe, A., Stevens, V. W., Scherer, L. D., Drews, F. A., Shoemaker, H. E., & Fagerlin, A. (2023) · The Annals of Family Medicine · doi:10.1370/afm.3046 · Cited by 1 · see citing works
Effects of Locomotion Regulatory Mode on COVID-19 Anxiety: The Mediating Role of Resilience
Destro, C. L., & da Costa, A. L. C. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20156533 · Cited by 2 · see citing works
Effects of Locomotion Regulatory Mode on COVID-19 Anxiety: The Mediating Role of ResiliencePreprint
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“The COVID-19 quarantine, fear, economic downturn, and closures likely increased stress and that psychopathology could have influenced eating behavior [15].”
Sherman, A. C., Salsman, J. M., Park, C. L., Messias, E., Williams, M. L., Amick, B. C., Hudson, T. J., & Simonton-Atchley, S. (2022) · European Journal of Mental Health · doi:10.5708/ejmh.17.2022.2.12 · Cited by 1 · see citing works
“In the context of these stressful disruptions, notable levels of mental health difficulties have been documented in studies conducted around the globe (e.g., Fisher et al., 2021; Prati & Mancini, 2021; Schafer et al., 2022; Xiong et al., 2020).”
- Authors
- Schafer, K. M., Lieberman, A., Sever, A. C., & Joiner, T.
- Affiliations
- Florida State University (US)
- Texas Woman's University (US)
- Corresponding author
- Schafer, Katherine Musacchio
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 298
- Issue
- Pt A
- Pages
- 364-372
- ISSN
- 0165-0327 (ISSN-L)
- PMC
- PMC8593520
- OpenAlex
- W3209696637
- Cited by
- 127
- References
- 30
- Citations by year
- 2026: 13 · 2025: 8 · 2024: 30 · 2023: 43 · 2022: 30 · 2021: 3
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Affective Disorders (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Office of the Assistant Secretary of Defense for Health Affairs
- Topics
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Keywords
- COVID-19 pandemic, anxiety symptoms, depressive symptoms, eating pathology, mental health prevalence, gender differences, healthcare workers, race, age differences, regional variation
- MeSH terms
- COVID-19, SARS-CoV-2, Anxiety, Depression, Female, Humans, Male, Prevalence, Pandemics
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