Mental disorders among college students in the World Health Organization World Mental Health Surveys
Open accessAbstract
Background: Although mental disorders are significant predictors of educational attainment throughout the entire educational career, most research on mental disorders among students has focused on the primary and secondary school years. Method: The World Health Organization World Mental Health Surveys were used to examine the associations of mental disorders with college entry and attrition by comparing college students ( n = 1572) and non-students in the same age range (18–22 years; n = 4178), including non-students who recently left college without graduating ( n = 702) based on surveys in 21 countries (four low/lower-middle income, five upper-middle-income, one lower-middle or upper-middle at the times of two different surveys, and 11 high income). Lifetime and 12-month prevalence and age-of-onset of DSM-IV anxiety, mood, behavioral and substance disorders were assessed with the Composite International Diagnostic Interview (CIDI). Results: One-fifth (20.3%) of college students had 12-month DSM-IV/CIDI disorders; 83.1% of these cases had pre-matriculation onsets. Disorders with pre-matriculation onsets were more important than those with post-matriculation onsets in predicting subsequent college attrition, with substance disorders and, among women, major depression the most important such disorders. Only 16.4% of students with 12-month disorders received any 12-month healthcare treatment for their mental disorders. Conclusions: Mental disorders are common among college students, have onsets that mostly occur prior to college entry, in the case of pre-matriculation disorders are associated with college attrition, and are typically untreated. Detection and effective treatment of these disorders early in the college career might reduce attrition and improve educational and psychosocial functioning.
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- Findingnone given
The most prevalent individual disorders were phobias and major depressive disorder.
“The most prevalent individual disorders were phobias (9.0–11.1%) and MDD (4.5–7.7%).”
Quote in the paperNot a substantial claim - Findingown data
Among college students, 20.3% had a 12-month DSM-IV/CIDI disorder.
“One-fifth (20.3%) of college students had 12-month DSM-IV/CIDI disorders.”
- Also stated in: § What is the 12-month prevalence of DSM-IV/CIDI disorders among college students? · plain
“Twelve-month prevalence of any DSM-IV/CIDI disorder was 20.3% among college students compared to 25.0% among attriters and 21.4% among other nonstudents.”
Quote in the paperSubstantial claim - Also stated in: § What is the 12-month prevalence of DSM-IV/CIDI disorders among college students? · plain
- Findingown data
Pre-matriculation onset disorders were more important than post-matriculation onset disorders in predicting subsequent college attrition.
“Disorders with pre-matriculation onsets were more important than those with post-matriculation onsets in predicting subsequent college attrition, with substance disorders and, among women, major depression the most important such disorders.”
Quote in the paperSubstantial claim - Findingown data
Among women, major depression was among the most important pre-matriculation disorders predicting college attrition.
“with substance disorders and, among women, major depression the most important such disorders”
- Also stated in: § Do pre- and post-matriculation onset DSM-IV/CIDI disorders predict college attrition? · plain
“MDD, alcohol abuse, and drug dependence were significant among females (with ORs of 0.2–0.6).”
Quote in the paperSubstantial claim - Also stated in: § Do pre- and post-matriculation onset DSM-IV/CIDI disorders predict college attrition? · plain
- Findingown data
Among students with 12-month disorders, 16.4% received minimally adequate treatment in the 12 months before interview.
“Roughly one-sixth (16.4%) of students with 12-month DSM-IV/CIDI disorders received minimally adequate treatment for these disorders in the 12 months before interview.”
Quote in the paperSubstantial claim
- Findingown data
Substance disorders were the most important pre-matriculation disorders predicting college attrition.
“with substance disorders and, among women, major depression the most important such disorders”
- Also stated in: § Do pre- and post-matriculation onset DSM-IV/CIDI disorders predict college attrition? · plain
“The individual disorders significantly implicated in this association were all substance disorders.”
Quote in the paperSubstantial claim - Also stated in: § Do pre- and post-matriculation onset DSM-IV/CIDI disorders predict college attrition? · plain
- Findingown data
Among college students with 12-month disorders, 83.1% had onsets before college entry.
“83.1% of these cases had pre-matriculation onsets.”
- Also stated in: § What proportion of 12-month DSM-IV/CIDI disorders had onsets prior to college entry? · plain
“The vast majority (83.1%) of students with 12-month disorders reported pre-matriculation onsets.”
Quote in the paperSubstantial claim - Also stated in: § What proportion of 12-month DSM-IV/CIDI disorders had onsets prior to college entry? · plain
- Findingown data
Twelve-month prevalence of pre-matriculation lifetime disorders associated with subsequent attrition was generally not more common among attriters than students.
“However, it is noteworthy that 12-month prevalence of the pre-matriculation lifetime disorders associated with subsequent attrition was generally not more common among attriters than students.”
Quote in the paperSubstantial claim - Findingown data
Students had a lower mean number of overall disorders than attriters or other nonstudents.
“Students also had a lower mean number of overall disorders (23.9/100 persons) than either attriters (39.7/100) or other nonstudents (32.8/100).”
Quote in the paperNot a substantial claim - Findingown data
A significantly lower proportion of students than attriters had one or more post-matriculation onset disorders.
“A significantly lower proportion of students than attriters also had one or more post-matriculation onset disorders (6.7% versus 10.9%; t=2.5, p=.006)”
Quote in the paperNot a substantial claim - Findingown data
Post-matriculation onsets characterized sizable minorities of students with 12-month GAD, PTSD, mood disorders, and drug abuse.
“and that post-matriculation onsets characterized sizable minorities of students with 12-month GAD (38.4%), PTSD (41.3%), mood disorders (41.6%), and drug abuse (46.2%).”
Quote in the paperNot a substantial claim - Findingown data
The treatment rate for students with 12-month disorders was not significantly different from that of attriters or other nonstudents.
“This treatment rate was not significantly different from that of attriters (16.6%; χ21 = 0.8, p = .37) or other nonstudents (10.6%; χ21 = 2.8, p = .09).”
Quote in the paperNot a substantial claim - Findingown data
The association between pre-matriculation disorders and reduced odds of matriculation was true only in high income countries.
“although further analysis (detailed results available on request) showed that this was true only in high income countries (OR 0.7; 95% CI 0.6–0.9).”
Quote in the paperSubstantial claim - Findingown data
A significantly higher proportion of students than attriters with 12-month alcohol abuse had post-matriculation onsets.
“The two exceptions to this general pattern were that a significantly higher proportion of students (70.0%) than attriters (42.5%; χ21 = 8.6, p = .003) with 12-month alcohol abuse had post-matriculation onsets”
Quote in the paperNot a substantial claim - Findingown data
Somewhat smaller proportions of respondents who entered college than those who did not met criteria for at least one lifetime pre-matriculation DSM-IV/CIDI disorder.
“Somewhat smaller proportions of respondents who entered college (25.3%) than those who did not (27.2%; 28.2% of those who graduated from secondary school) met criteria for at least one lifetime pre-matriculation DSM-IV/CIDI disorder.”
Quote in the paperSubstantial claim - Findingown data
Mean number of disorders was lower for students than for nonstudents.
“Mean number of disorders was also lower for students (36.2/100) than nonstudents (48.9−46.4/100).”
Quote in the paperNot a substantial claim - Findingown data
Among females, the only significant OR involved post-matriculation onset GAD being lower among students than attriters.
“and the only significant OR among females involving post-matriculation onset GAD being lower among students than attriters (OR 0.2; 95% CI 0.1–0.5).”
Quote in the paperNot a substantial claim - Findingown data
A significantly higher proportion of students than nonstudents with any 12-month disorder had at least one such disorder with a post-matriculation onset.
“and a significantly higher proportion of students (16.9%) than nonstudents (12.3%; χ21 = 5.4, p = .020) with any 12-month disorders had at least one such disorder with a post-matriculation onset.”
Quote in the paperNot a substantial claim - Findingown data
The elevated odds of post-matriculation panic disorder among students compared to attriters was confined to males.
“Replication separately among males and females (detailed results available on request) showed that the pattern differed by sex, with the significantly elevated odds of post-matriculation panic disorder among students compared to attriters confined to males”
Quote in the paperNot a substantial claim - Findingown data
The difference in pre-matriculation onset disorders between students and attriters became nonsignificant in logistic regression controlling age-sex and survey.
“although this difference became nonsignificant in the logistic regression analysis controlling age-sex and survey (OR 0.9; 95% CI 0.6–1.1).”
Quote in the paperSubstantial claim - Findingown data
Significant inverse associations between pre-matriculation disorders and subsequent matriculation were for the most part stronger among females than males.
“Replication of these analyses separately among males and females (detailed results available on request) revealed that the significant inverse associations between pre-matriculation disorders and subsequent matriculation were for the most part stronger among females than males.”
Quote in the paperNot a substantial claim - Findingown data
Pre-matriculation alcohol and drug abuse predicted attrition among males.
“Replication of these analyses separately among males and females (detailed results available on request) showed that pre-matriculation alcohol and drug abuse predicted attrition among males (with ORs of 0.2–0.4)”
Quote in the paperSubstantial claim - Findingown data
The individual disorders significantly implicated in the association between number of pre-matriculation disorders and attrition were all substance disorders.
“The individual disorders significantly implicated in this association were all substance disorders.”
Quote in the paperNot a substantial claim - Findingown data
The difference in post-matriculation onset disorders between students and attriters became nonsignificant in logistic regression.
“but again this difference became nonsignificant in the logistic regression analysis (OR 1.2; 95% CI 0.8–1.8).”
Quote in the paperNot a substantial claim - Findingown data
The treatment rate of students decreased monotonically with country income level, from 23.1% in high income countries to 11.4% in upper-middle and 6.7% in lower-middle/low income countries.
“However, the treatment rate of students decreased monotonically with country income level, from 23.1% in high income countries, to 11.4% in upper-middle and 6.7% in lower-middle/low income countries (χ22 = 7.4, p = .025).”
Quote in the paperNot a substantial claim - Findingown data
A significantly lower proportion of students than attriters had one or more pre-matriculation onset mental disorders.
“A significantly lower proportion of students than attriters had one or more pre-matriculation onset mental disorders (22.9% versus 30.3%; t=2.7, p=.007).”
Quote in the paperSubstantial claim - Findingown data
Relative proportions of pre- versus post-matriculation onsets were generally comparable among attriters and other nonstudents as among students.
“Relative proportions of pre-versus post-matriculation onsets were generally comparable among attriters and other nonstudents as among students (χ21 = 0.0–3.4, p = .92−.06).”
Quote in the paperNot a substantial claim - Findingown data
Anxiety disorders were consistently much more common than mood, behavioral, or substance disorders in these samples.
“Anxiety disorders were consistently much more common across these samples (15.7–19.0%) than either mood (7.9–8.3%), behavioral (6.8–7.8%), or substance (5.0–6.9%) disorders.”
Quote in the paperNot a substantial claim - Findingown data
A model for number of pre-matriculation disorders found significantly lower odds of being a student than an attriter.
“However, a comparable model that looked at number of pre-matriculation disorders (0.1,2.3,4+) found a significantly lower odds of being a student than attriter (OR 0.8; 95% CI 0–6–1.0).”
Quote in the paperSubstantial claim - Findingown data
Disaggregated analysis showed that individual anxiety, behavioral, and substance disorders were implicated in the aggregate associations, with mood disorders the only class not significant.
“Disaggregated analysis showed that a number of individual anxiety (separation anxiety disorder, panic disorder, PTSD), behavioral (conduct disorder, oppositional-defiant disorder), and substance (alcohol and drug abuse) disorders were implicated in these aggregate associations, with mood disorders the only class of disorders not significant in any of the comparisons.”
Quote in the paperSubstantial claim - Findingown data
A similar pattern was found for number of disorders.
“A similar pattern was found for number of disorders.”
Quote in the paperNot a substantial claim - Findingown data
The association between number of pre-matriculation disorders and attrition was significant only in high income countries.
“The association was significant only in high income countries.”
Quote in the paperNot a substantial claim - Findingown data
History of one or more pre-matriculation disorders was associated with significantly reduced odds of subsequent matriculation among respondents who graduated from secondary school.
“Logistic regression analysis controlling age-sex and survey found that history of one or more pre-matriculation disorders was associated with significantly reduced odds of subsequent matriculation among respondents who graduated from secondary school (OR 0.8; 95% CI 0.7–1.0)”
Quote in the paperSubstantial claim - Findingown data
A parallel model for number of post-matriculation disorders was insignificant.
“A parallel model for number of disorders was also insignificant.”
Quote in the paperNot a substantial claim - Interpretationown data
The vast majority of college student mental disorders have pre-matriculation onsets.
“that the vast majority of cases had pre-matriculation onsets”
- Also stated in: § DISCUSSION · plain
“the vast majority of these disorders have pre-matriculation onsets”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · plain
- Interpretationreasoning
If joint predictors account for the associations of pre-matriculation mental disorders with college attrition, interventions to detect and treat these pre-existing disorders among entering freshmen would not reduce subsequent attrition.
“To the extent that these (or other) joint predictors account for the associations of pre-matriculation mental disorders with college attrition, interventions to detect and treat these pre-existing disorders among entering freshmen would not reduce subsequent attrition.”
Quote in the paperSubstantial claim - Interpretationown data
Mental disorders are common among college students around the world.
“Despite these limitations, our results are clear in showing that mental disorders are common among college students around the world”
Quote in the paperSubstantial claim - Interpretationown data
Only a small minority of college students with mental disorders receive even minimally adequate treatment.
“only a small minority of college students receive even minimally adequate treatment for their mental disorders.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The study dealt with timing imprecision by considering only disorders with onsets prior to age 18 as pre-matriculation, a conservative approach.
“Importantly, we dealt with this limitation by erring on the side of being conservative by considering only disorders with onsets prior to age 18 as being pre-matriculation disorders.”
Quote in the paperSubstantial claim - Study design and conductnone given
Most WMH surveys failed to distinguish between students living in off-campus housing with their families versus with roommates.
“Most WMH surveys also failed to distinguish between students living in off-campus housing with their families versus with roommates.”
Quote in the paperNot a substantial claim - Study design and conductnone given
Questions about disorder recency were not sufficiently specific in the WMH surveys to determine prevalence in the 12 months prior to attrition.
“It is important to recognize, though, that questions about disorder recency were not sufficiently specific in the WMH surveys to allow us to determine prevalence in the 12-months prior to attrition.”
Quote in the paperSubstantial claim - Study design and conductnone given
The number of college students in the WMH surveys was too small to support separate analyses in each country.
“Perhaps the most obvious one is that the number of college students in the WMH surveys was too small to support separate analyses in each country.”
Quote in the paperSubstantial claim - Study design and conductnone given
The study assessed only prevalence, not severity, of disorders.
“In addition, we assessed only prevalence, not severity, of disorders.”
Quote in the paperNot a substantial claim - Study design and conductcitation
CIDI diagnoses showed generally good concordance with blinded clinical diagnoses based on SCID reappraisal interviews.
“As detailed elsewhere (Haro et al., 2006), generally good concordance was found between these CIDI diagnoses and blinded clinical diagnoses based on clinical reappraisal interviews with the SCID (First et al., 1994).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Haro et al., 2006
Not checked in the free run.
- cites First et al., 1994
Not checked in the free run.
- Study design and conductown data
Imprecision in information on timing of disorder onset, matriculation, and attrition made it impossible to draw firm distinctions between before versus after matriculation or before versus subsequent to attrition.
“A third set of limitations involves the imprecision in our information on timing of disorder onset, matriculation, and attrition. This imprecision made it impossible for us to draw firm distinctions between mental disorders that occurred before versus after matriculation or, in the case of disorders with clear post-matriculation onsets, those that occurred before versus subsequent to attrition.”
Quote in the paperSubstantial claim - Interpretationreasoning
Correction of timing imprecision would only increase the strength of the finding that the vast majority of college student disorders are pre-matriculation.
“As a result, correction of this problem would only lead to an increase in the strength of our finding that the vast majority of the disorders of college students are pre-matriculation disorders.”
Quote in the paperSubstantial claim
- May combine two claims. 20
- Classified as probably not a substantial claim. 22
- Not yet classified. 1
May combine two claims.
Findingnone givenAnxiety disorders were the most prevalent class of disorders across all groups, followed by mood, substance, and behavioral disorders.
“Anxiety disorders were the most prevalent class of disorders across all groups in the full sample (11.7–14.7%) followed by mood disorders (6.0–9.9%), substance disorders (4.5–6.7%), and behavioral disorders (2.8–5.3%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMDD, alcohol abuse, and drug dependence were significant among females.
“while MDD, alcohol abuse, and drug dependence were significant among females (with ORs of 0.2–0.6).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPhobia was by far the most prevalent individual disorder, followed by major depressive disorder.
“Phobia was by far the most prevalent individual disorder (11.6–13.9%) followed by major depressive disorder (5.8–6.2%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataStudents had significantly lower prevalence than other nonstudents of GAD, PTSD, any mood disorder, ADHD, oppositional-defiant disorder, drug dependence, and number of disorders.
“while students had significantly lower prevalence than other nonstudents of quite a few disorders (GAD, PTSD, any mood disorder, ADHD, oppositional-defiant disorder, drug dependence) as well as of number of disorders.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn logistic models controlling age-sex and survey, students had significantly higher prevalence than attriters of panic disorder and lower prevalence of behavioral disorders.
“Logistic models controlling age-sex and survey found that students had significantly higher prevalence than attriters of panic disorder and lower prevalence of behavioral disorders, while students had significantly lower prevalence than other nonstudents of quite a few disorders (GAD, PTSD, any mood disorder, ADHD, oppositional-defiant disorder, drug dependence) as well as of number of disorders.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTwelve-month prevalence of any DSM-IV/CIDI disorder was 20.3% among college students, 25.0% among attriters, and 21.4% among other nonstudents.
“Twelve-month prevalence of any DSM-IV/CIDI disorder was 20.3% among college students compared to 25.0% among attriters and 21.4% among other nonstudents.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPanic disorder was the only individual disorder with significantly different odds of post-matriculation onset, with higher odds among students than attriters.
“Logistic regression found only one individual disorder, panic disorder, with significantly different odds of post-matriculation onset among attriters compared to students, but in this case the odds were significantly higher, not lower, among students than attriters (OR 5.0; 95% CI 1.1–22.1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAmong students, post-matriculation onsets were more common than pre-matriculation onsets for 12-month panic disorder and alcohol abuse-dependence.
“The only disorder-specific exceptions were that post-matriculation onsets were more common than pre-matriculation onsets among students for 12-month panic disorder (51.8%) and alcohol abuse-dependence (70.0−67.6%)”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe vast majority of these disorders have pre-matriculation onsets, which if anything were under-estimated.
“that the vast majority of these disorders have pre-matriculation onsets (which, if anything, were under-estimated by our lack of precision in the dating of matriculation)”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningA similar reciprocal influence might account for post-matriculation onset disorders not being more common among attriters than students.
“A similar kind of reciprocal influence might account for the fact that disorders with post-matriculation onsets were not more common among attriters than students.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe interview schedule was translated into other languages using a standardized WHO protocol.
“The interview schedule was developed in English and translated into other languages using a standardized WHO protocol (Harkness et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Harkness et al., 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll analyses were also carried out in separate samples of men and women.
“However, all analyses were also carried out in separate samples of men and women (detailed results are available on request) and important differences in results are noted throughout the text.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningIf pre-matriculation lifetime disorders were causal risk factors rather than risk markers, 12-month presence of these disorders would predict subsequent attrition; failure to find higher 12-month prevalence among attriters than students might be evidence that these disorders were risk markers rather than causal risk factors.
“If pre-matriculation lifetime disorders were causal risk factors rather than risk markers for subsequent attrition, we would expect that 12-month presence of these same disorders would predict subsequent attrition, in which case our failure to find higher 12-month prevalence among attriters than students might be taken as evidence that these pre-matriculation disorders were risk markers rather”
Quote in the paperSubstantial claimNot yet classified.
InterpretationIt is plausible that associations between pre-matriculation mental disorders and college attrition are non-causal because risk factors for adolescent substance and mood disorders overlap with risk factors for college attrition, none of which were controlled.
“It is plausible to think that the associations are non-causal because risk factors for adolescent substance (Kilpatrick et al., 2000) and mood (Lewinsohn et al., 1998; Costello et al., 2002) disorders have many similarities with risk factors for college attrition (Ishitani & DesJardins, 2002; Stratton et al., 2006; Hartley, 2010), such as high stress, interpersonal discord, and diminished social”
Quote in the paperNot yet classified0 of 3 sources checked- cites Kilpatrick et al., 2000
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- cites Lewinsohn et al., 1998
Not checked in the free run.
- cites Costello et al., 2002
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataResponse rates across surveys ranged from 50.4% to 97.2%, with a weighted mean of 71.4%.
“Response rates ranged between 50.4% (Poland) and 97.2% (Colombia) with a weighted mean of 71.4% across surveys.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataOnly a small minority of college students with mental disorders receive even minimally adequate treatment, and the treatment rate is even lower in low-income countries.
“We also found that only a small minority of college students with mental disorders receive even minimally adequate treatment and that the treatment rate is even lower in low-income countries.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataPre-matriculation mental disorders are associated both with failure to enter college and with attrition.
“and that pre-matriculation mental disorders are associated both with failure to enter college and with attrition.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenInterviews were administered face-to-face after informed consent using procedures approved by local Institutional Review Boards.
“Interviews were administered face-to-face in respondent homes (or, in the case of students living in campus group housing, in their student residences) after obtaining informed consent using procedures approved by local Institutional Review Boards.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningJoint age-sex distributions of students and nonstudents within each country were standardized to equal the pooled student distribution across all countries.
“In order to increase precision of prevalence comparisons, the joint age-sex distributions of students and nonstudents within each country were standardized to equal the pooled student distribution across all countries combined.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningIf pre-matriculation disorders associated with college attrition represent common causal pathways for traditional predictors of attrition, interventions focused on college entrants with these pre-existing disorders might reduce attrition.
“On the other hand, to the extent that the pre-matriculation disorders associated with college attrition represent common causal pathways for many of the more traditional predictors of attrition documented by educational researchers, interventions focused on college entrants with these pre-existing disorders might be of great value in reducing attrition.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningPart II respondents were weighted to adjust for differential probabilities of selection into Part II, making prevalence estimates in the weighted Part II sample identical to those in the Part I sample.
“Part II respondents were weighted to adjust for differential probabilities of selection into Part II, making estimates of prevalence in the weighted Part II sample identical to those in the Part I sample.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationThe design-based Taylor series method implemented in SAS was used to adjust significance tests for weighting and clustering of observations.
“The design-based Taylor series method (Wolter, 1985) implemented in the SAS software system (SAS Institute Inc., 2010) was used to adjust significance tests for the weighting and clustering of observations.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Wolter, 1985
Not checked in the free run.
- cites SAS Institute Inc., 2010
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe definition of pre-matriculation disorders was conservative: virtually all classified pre-matriculation started before college entry, while some unknown number of disorders with onsets after age 17 started before college entry.
“noting that the definition of pre-matriculation disorders was conservative in that virtually of those classified pre-matriculation did, in fact, start before college entry while some unknown number of disorders with onsets after age 17 started before the respondent’s college entry.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThere are likely downward biases in reports of lifetime prevalence and possibly in dating age-of-onset due to recall errors.
“Although the WMH assessment used procedures shown experimentally to improve accuracy of recall (Scott et al., 2014), there are likely to be downward biases in reports of lifetime prevalence and possibly also in dating age-of-onset of disorders due to recall errors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Scott et al., 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIt is unclear whether recall biases would differ for students, attriters, and respondents who never entered college.
“It is unclear whether these biases would be different for students, attriters, and respondents who never entered college.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenLogistic models included dummy control variables for surveys.
“Logistic models included dummy control variables for surveys.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenDSM-IV organic exclusion rules and diagnostic hierarchy rules were used other than for substance abuse.
“DSM-IV organic exclusion rules and diagnostic hierarchy rules were used other than for substance abuse, which was defined with or without dependence.”
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 givenLifetime mental disorders and ages-of-onset were assessed retrospectively.
“Lifetime mental disorders and ages-of-onset were assessed retrospectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationDiagnoses were based on fully-structured lay-administered interviews rather than semi-structured clinical interviews, although WMH clinical appraisal data are reassuring.
“In addition, diagnoses were based on fully-structured lay-administered interviews rather than semi-structured clinical interviews, although the WMH clinical appraisal data are reassuring (Haro et al., 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Haro et al., 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenStatistical significance was consistently evaluated using .05-level two-tailed tests.
“Statistical significance was consistently evaluated using .05-level two-tailed tests.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataSmall sample sizes resulted in wide confidence intervals, with many significant odds-ratios having confidence intervals where one bound was close to 1.0 or rounded to 1.0.
“The small sample sizes also resulted in wide confidence intervals of estimates, with many of the odds-ratios considered significant having confidence intervals where one bound was very close to 1.0 and in a number of cases rounded to 1.0 with a single decimal of precision.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningNot all WMH surveys included group housing in their sample frames, under-representing students living in campus dormitories or fraternity-sorority houses.
“Another sampling-related limitation is that not all WMH surveys included group housing in their sample frames. This means that these surveys under-represented students living in campus dormitories or fraternity-sorority houses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther research has shown that educational attainment is associated not only with prevalence but also severity of mental disorders.
“This omission could be important given that other research has shown that educational attainment is associated not only with prevalence but also severity of mental disorders (Ten Have et al., 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ten Have et al., 2013
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationAge-of-onset was assessed using special probing techniques shown experimentally to improve recall accuracy.
“Age-of-onset of each disorder was assessed using special probing techniques shown experimentally to improve recall accuracy (Knäuper et al., 1999).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Knäuper et al., 1999
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningThere is no definitive way to adjudicate between causal and non-causal possibilities with the data presented.
“There is no definitive way to adjudicate between these competing possibilities with the data presented here.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataCross-national analyses comparing high, upper-middle, and lower-middle/low income countries were less complete than preferred.
“We carried out some cross-national analyses comparing results in high, upper-middle, and lower-middle/low income countries, but this level of disaggregation was less complete than we would have been preferred.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenOverall fit of the logistic models was assessed by calculating area under the receiver operating characteristic curve.
“Overall fit of the logistic models was assessed by calculating area under the receiver operating characteristic curve (AUC).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll analyses used weighted data.
“All analyses used weighted data.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Replication will support the finding that pre-matriculation mental disorders are associated with college attrition.
“Assuming that this replication supports our finding that pre-matriculation mental disorders are associated with attrition”
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?
An earlier WMH report on college students in 21 countries found somewhat lower lifetime (29.3%) and 12-month (25.2%) prevalence estimates of any disorder in mostly high-income countries, but used a wider range of DSM-IV disorders and more in-depth assessments.
“An earlier WMH report based on face-to-face interviews with the subset of WMH household survey respondents in 21 countries who were college students found somewhat lower lifetime (29.3%) and 12-month (25.2%) prevalence estimates of any disorder in mostly high-income countries, but this result was based on a wider range of DSM-IV disorders and on most in-depth assessments of these disorders than in”
From WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. (2018) · cites this paper as Auerbach et al 2016
Split into 2 atoms — 0 confirmed, 1 partially supported, 1 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredOnly 16.4% of all 12-month cases in those WMH surveys received any treatment for these disorders.
“Only 16.4% of all 12-month cases received any treatment for these disorders.”
From WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. (2018) · cites this paper as Auerbach, et al., 2016
The Abstract’s Results report 16.4% receiving treatment, but specify students with 12-month disorders, not all cases in the surveys. The detailed Results section describes the 16.4% figure as receipt of minimally adequate treatment, a narrower measure than any treatment. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe demand for mental health treatment among college students is much greater than most counseling centers can supply, leaving substantial unmet need.
“the number of students in need of treatment for these disorders far exceeds the resources of most counseling centers, resulting in substantial unmet need for treatment of mental disorders among college students (Auerbach, et al., 2016; Beiter et al., 2015; Storrie, Ahern, & Tuckett,”
From WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. (2018) · cites this paper as Auerbach, et al., 2016
The Results section reports that only 16.4% of college students with 12-month disorders received minimally adequate treatment, supporting substantial unmet treatment need. The Discussion also notes limited outpatient provider availability in lower-income countries, but the paper does not establish that demand exceeds the capacity of most college counseling centers or that counseling-center capacity causes the treatment gap. No page numbers were provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredHigh prevalence of these disorders among college students is associated with substantial impairment in academic performance and with suicidal thoughts and behaviors.
“it is associated with substantial impairment in academic performance (Auerbach et al., 2016; Bruffaerts et al., 2018) as well as suicidal thoughts and behaviors (Mortier et al., in press).”
From WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. (2018) · cites this paper as Auerbach et al., 2016
Auerbach et al. is cited for the academic-performance part of the sentence; the separate citation to Mortier et al. accompanies the suicidal-thoughts-and-behaviors part. The Abstract Results and the Results section on college attrition associate pre-matriculation disorders with leaving college, an adverse educational outcome, but do not establish impairment in academic performance such as grades or coursework. (LLM, conf=0.84)
Experimental — accuracy not yet measuredOnly six common mental disorders were assessed, and the omission of ADHD, eating disorders, phobias, PTSD, conduct disorder, ODD, and IED is especially noteworthy because of their comparatively high prevalence in the WMH surveys.
“Second, only six common mental disorders were assessed in the surveys. The omission of attention-deficit/hyperactivity disorder, eating disorders, phobias, post-traumatic stress disorder, conduct disorder, oppositional-defiant disorder, and intermittent explosive disorder are especially noteworthy because of their comparatively high prevalence in the WMH surveys (Auerbach et al., 2016)”
From WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. (2018) · cites this paper as Auerbach et al., 2016
The Method > Measures section lists ADHD, phobias, PTSD, conduct disorder, oppositional-defiant disorder, and intermittent explosive disorder among the disorders assessed in the WMH surveys. The Results section reports that phobias were among the most prevalent individual disorders, but our copy does not assess eating disorders or establish comparatively high prevalence for every disorder listed. The statement that only six disorders were assessed appears to concern the citing authors’ surveys, not the WMH surveys. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Mood and anxiety disorders are key predictors of dropout from higher education.
“The most prevalent disorders at this stage include mood, anxiety, and substance use, all key predictors of dropout from higher education [6].”
From Transdiagnostic and tailored internet intervention to improve mental health among university students: Research protocol for a randomized controlled trial (2024) · cites this paper as [6]
The Results section on college attrition identifies pre-matriculation major depressive disorder as a significant predictor among females, alongside substance disorders. It does not identify anxiety disorders as key predictors of dropout: post-matriculation panic disorder was more common among students than attriters, while GAD was significant only among females. Page numbers are not provided in our copy. (LLM, conf=0.89)
Experimental — accuracy not yet measuredGlobally, between 12% and 50% of university students are affected by mental health problems.
“Globally, it is estimated that between 12% and 50% of all university students are affected by mental health (MH) problems [3-5]”
From Optimization of a Transdiagnostic Mobile Emotion Regulation Intervention for University Students: Protocol for a Microrandomized Trial (2023) · cites this paper as [3]
The Results section (page not available) reports that 20.3% of college students had a DSM-IV/CIDI disorder in the preceding 12 months, supporting the general point that mental disorders affect students across countries. It does not report the claimed 12%–50% range, and its measure of diagnosed disorders is narrower than the claim’s ‘mental health problems.’ (LLM, conf=0.87)
Experimental — accuracy not yet measuredMental disorders are highly prevalent among university students, with 12-month prevalence rates ranging from 20% to 45%.
“Mental disorders are highly prevalent among university students, with 12 -month prevalence rates ranging from 20% to 45% (Auerbach et al., 2016; Blanco et al., 2008; Bruffaerts et al., 2018).”
From Increasing intentions to use mental health services among university students. Results of a pilot randomized controlled trial within the World Health Organization's World Mental Health International College Student Initiative (2019) · cites this paper as Auerbach et al., 2016
The Results section reports a 12-month prevalence of 20.3% among college students, supporting the lower end of the stated range. It does not establish a prevalence as high as 45% among students, so this source alone does not support the full range. (LLM, conf=0.87)
Experimental — accuracy not yet measuredIn the larger WMH surveys, about 20% of college students met criteria for a 12-month DSM-IV/CIDI disorder, and anxiety and mood disorders were the most common class.
“One-fifth of college students in those surveys had 12-month DSM-IV/CIDI disorders, with anxiety and mood disorders the most common class of disorders.”
From WHO World Mental Health Surveys International College Student Project: Prevalence and distribution of mental disorders. (2018) · cites this paper as Auerbach, et al., 2016
The most common mental health problems among university students are anxiety, depression, and substance abuse disorder.
“the most common ones being anxiety, depression, and substance abuse disorder [3,4,6]”
From Optimization of a Transdiagnostic Mobile Emotion Regulation Intervention for University Students: Protocol for a Microrandomized Trial (2023) · cites this paper as [3]
Depressive and anxiety symptoms are prevalent among the university student population.
“both of which are prevalent among the university student population [3,4]”
From Optimization of a Transdiagnostic Mobile Emotion Regulation Intervention for University Students: Protocol for a Microrandomized Trial (2023) · cites this paper as [3]
Anxiety, mood, and substance use disorders are the most widespread mental disorders among university students.
“Anxiety, mood, and substance use disorders are the most widespread mental disorders among these students (Auerbach et al., 2016).”
Mental health problems have been increasing among university students in recent years.
“mental health problems have already been on the rise among university students in recent years (Auerbach et al., 2016; Bruffaerts et al., 2018; Storrie et al., 2010).”
From Feasibility of a Brief Online Mindfulness and Compassion-Based Intervention to Promote Mental Health Among University Students During the COVID-19 Pandemic (2021) · cites this paper as Auerbach et al., 2016
College entrance is a stressful period with a high prevalence of mental disorders.
“College entrance is a stressful period with a high prevalence of mental disorders.”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Auerbach et al., 2016
College is a peak period for mental disorders, particularly mood, anxiety, and substance use disorders.
“College is a peak period for mental disorders (Auerbach et al., 2016; Blanco et al., 2008; Cho et al., 2015; Eisenberg, Golberstein, & Gollust, 2007; Ibrahim, Kelly, Adams, & Glazebrook, 2013; Kendler, Myers, & Dick, 2015; Mojtabai et al., 2015; Vazquez, Torres, Otero, & Diaz, 2011), particularly mood, anxiety, and substance use disorders.”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Auerbach et al., 2016
Among students, mental disorders have a substantial impact on academic performance.
“Among students, mental disorders have a substantial impact on academic performance (Auerbach et al., 2016; Kessler, Foster, Saunders, & Stang, 1995)”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Auerbach et al., 2016
Pre-matriculation onset disorders are strong predictors of college attrition.
“pre-matriculation onset disorders are strong predictors of college attrition (Auerbach et al., 2016).”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Auerbach et al., 2016
Major depression has been associated with a higher degree of attrition of university failure.
“Major depression has been associated with a higher degree of attrition of university failure (Auerbach et al., 2016).”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Auerbach et al., 2016
Similar high prevalence of major depressive episode and GAD have been previously reported.
“Similar high prevalence of these two disorders have been previously reported (Auerbach et al., 2016; Farrer, Gulliver, Bennett, Fassnacht, & Griffiths, 2016; Ibrahim et al., 2013; Storrie, Ahern, & Tuckett, 2010; Vazquez et al., 2011).”
From Severe role impairment associated with mental disorders: Results of the WHO World Mental Health Surveys International College Student Project (2018) · cites this paper as Auerbach et al., 2016
Cites
Kessler, R. C., & Üstün, T. B. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.168 · Cited by 4,771 · see citing works
Self-citationWang, P. S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M. C., Borges, G., Bromet, E. J., Bruffaerts, R., de Girolamo, G., de Graaf, R., Gureje, O., et al. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61414-7 · Cited by 1,655 · see citing works
Self-citationPrevalence and correlates of depression, anxiety, and suicidality among university students
Eisenberg, D., Gollust, S. E., Golberstein, E., & Hefner, J. L. (2007) · American Journal of Orthopsychiatry · doi:10.1037/0002-9432.77.4.534 · Cited by 1,592 · see citing works
Blanco, C., Okuda, M., Wright, C., Hasin, D. S., Grant, B. F., Liu, S.-M., & Olfson, M. (2008) · Archives of General Psychiatry · doi:10.1001/archpsyc.65.12.1429 · Cited by 1,582 · see citing works
Coming to terms with the terms of risk
Kraemer, H. C. (1997) · Archives of General Psychiatry · doi:10.1001/archpsyc.1997.01830160065009 · Cited by 1,432 · see citing works
Introduction to Variance Estimation.
King, B. F., & Wolter, K. M. (1987) · Journal of the American Statistical Association · doi:10.2307/2289497 · Cited by 1,377 · see citing works
Social consequences of psychiatric disorders, I: Educational attainment
(1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.7.1026 · Cited by 1,370 · see citing works
Epidemiology of mental disorders in children and adolescents
Merikangas, K. R., Nakamura, E. F., & Kessler, R. C. (2009) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2009.11.1/krmerikangas · Cited by 1,246 · see citing works
Self-citationRisk factors for adolescent substance abuse and dependence: Data from a national sample.
Kilpatrick, D. G., Acierno, R. E., Saunders, B. A., Resnick, H. S., Best, C. L., & Schnurr, P. P. (2000) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.68.1.19 · Cited by 1,165 · see citing works
Costello, E. J., Egger, H., & Angold, A. (2005) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/01.chi.0000172552.41596.6f · Cited by 1,134 · see citing works
Mental Health, Educational, and Social Role Outcomes of Adolescents With Depression
Fergusson, D. M., & Woodward, L. J. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.3.225 · Cited by 1,112 · see citing works
Haro, J. M., Arbabzadeh-Bouchez, S., Brugha, T. S., De Girolamo, G., Guyer, M. E., Jin, R., Lepine, J. P., Mazzi, F., Reneses, B., Vilagut, G., et al. (2006) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.196 · Cited by 1,082 · see citing works
Self-citationMajor depressive disorder in older adolescents
Lewinsohn, P. M., Rohde, P., & Seeley, J. R. (1998) · Clinical Psychology Review · doi:10.1016/s0272-7358(98)00010-5 · Cited by 1,078 · see citing works
Life course outcomes of young people with anxiety disorders in adolescence
WOODWARD, L. J., & FERGUSSON, D. M. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200109000-00018 · Cited by 1,051 · see citing works
Mental Health and Academic Success in College
Eisenberg, D., Golberstein, E., & Hunt, J. B. (2009) · The B.E. Journal of Economic Analysis & Policy · doi:10.2202/1935-1682.2191 · Cited by 929 · see citing works
Risk factors for adolescent substance abuse and dependence: Data from a national sample.
Kilpatrick, D. G., Acierno, R. E., Saunders, B. E., et al. (2000) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.68.1.19 · Cited by 857 · see citing works
Introduction to Variance Estimation
Hidiroglou, M. A., & Wolter, K. M. (1986) · Technometrics · doi:10.2307/1269086 · Cited by 820 · see citing works
The 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
Self-citationMental health interventions in schools in high-income countries
Fazel, M., Hoagwood, K., Stephan, S., & Ford, T. (2014) · The Lancet Psychiatry · doi:10.1016/s2215-0366(14)70312-8 · Cited by 730 · see citing works
Miech, R. A., Caspi, A., Moffitt, T. E., Wright, B. R. E., & Silva, P. A. (1999) · American Journal of Sociology · doi:10.1086/210137 · Cited by 575 · see citing works
Development and natural history of mood disorders
Costello, E. J., Pine, D. S., Hammen, C., March, J. S., Plotsky, P. M., Weissman, M. M., Biederman, J., Goldsmith, H. H., Kaufman, J., Lewinsohn, P. M., et al. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01372-0 · Cited by 430 · see citing works
Mental health interventions in schools in low-income and middle-income countries
Fazel, M. S., Patel, V., Thomas, S., & Tol, W. A. (2014) · The Lancet Psychiatry · doi:10.1016/s2215-0366(14)70357-8 · Cited by 379 · see citing works
Johnson, J. G., Cohen, P. R., Dohrenwend, B. P., Link, B. G., & Brook, J. S. (1999) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.108.3.490 · Cited by 377 · see citing works
Johnson, J. G., Cohen, P., Dohrenwend, B. P., Link, B. G., & Brook, J. S. (1999) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.108.3.490 · Cited by 377 · see citing works
Adolescent depression: diagnosis, treatment, and educational attainment
Fletcher, J. M. (2008) · Health Economics · doi:10.1002/hec.1319 · Cited by 341 · see citing works
A Longitudinal Investigation of Dropout from College in the United States
Ishitani, T. T., & DesJardins, S. L. (2002) · Journal of College Student Retention Research Theory & Practice · doi:10.2190/v4en-nw42-742q-2ntl · Cited by 261 · see citing works
Early conduct problems and later life opportunities.
Fergusson, D. M., & Horwood, L. J. (1998) · PubMed · Cited by 217 · see citing works
Validity of the assessment of bipolar spectrum disorders in the WHO CIDI 3.0
Kessler, R. C., Akiskal, H. S., Angst, J., Guyer, M. E., Hirschfeld, R. M. A., Merikangas, K. R., & Stang, P. (2006) · Journal of Affective Disorders · doi:10.1016/j.jad.2006.08.018 · Cited by 206 · see citing works
Self-citationEarly Conduct Problems and Later Life Opportunities
Fergusson, D. M., & Horwood, L. J. (1998) · Journal of Child Psychology and Psychiatry · doi:10.1111/1469-7610.00414 · Cited by 184 · see citing works
Improving accuracy of major depression age‐of‐onset reports in the US National Comorbidity Survey
Knäuper, B., Cannell, C. F., Schwarz, N., Bruce, M. L., & Kessler, R. C. (1999) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.55 · Cited by 169 · see citing works
Self-citationLee, S., Tsang, A., Breslau, J., Aguilar-Gaxiola, S., Angermeyer, M., Borges, G., Bromet, E., Bruffaerts, R., de Girolamo, G., Fayyad, J., et al. (2009) · British Journal of Psychiatry · doi:10.1192/bjp.bp.108.054841 · Cited by 168 · see citing works
Self-citation(2008) · Cited by 162 · see citing works
Mojtabai, R., Stuart, E. A., Hwang, I. H., Susukida, R., Eaton, W. W., Sampson, N. A., & Kessler, R. C. (2015) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-015-1097-z · Cited by 160 · see citing works
Self-citationScott, K. M., Al-Hamzawi, A. O., Andrade, L. H., Borges, G., Caldas-de-Almeida, J. M., Fiestas, F., Gureje, O., Hu, C., Karam, E. G., Kawakami, N., et al. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1337 · Cited by 146 · see citing works
Self-citationHartley, M. T. (2010) · American Journal of Psychiatric Rehabilitation · doi:10.1080/15487768.2010.523372 · Cited by 141 · see citing works
(2008) · Cited by 110 · see citing works
Consequences of Receipt of a Psychiatric Diagnosis for Completion of College
Hunt, J. B., Eisenberg, D., & Kilbourne, A. M. (2010) · Psychiatric Services · doi:10.1176/ps.2010.61.4.399 · Cited by 100 · see citing works
Stratton, L. S., O’Toole, D. M., & Wetzel, J. N. (2006) · Research in Higher Education · doi:10.1007/s11162-006-9033-4 · Cited by 77 · see citing works
Patterns of substance use across the first year of college and associated risk factors
Cho, S. B., Llaneza, D. C., Adkins, A. E., Cooke, M., Kendler, K. S., Clark, S. L., & Dick, D. M. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00152 · Cited by 68 · see citing works
ten Have, M., Nuyen, J., Beekman, A., & de Graaf, R. (2013) · Psychological Medicine · doi:10.1017/s0033291713000135 · Cited by 63 · see citing works
The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders
Sorel, E. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.09081218 · Cited by 40 · see citing works
The stability and predictors of peer group deviance in university students
Kendler, K. S., Myers, J., & Dick, D. M. (2015) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-015-1031-4 · Cited by 22 · see citing works
(2012) · World Bank, Washington, DC eBooks · doi:10.1596/9780821397879_about_the_data · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 4
- First, 1994, Structured Clinical Interview for Axis I DSM-IV Disorders
- Harkness, 2008, The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders, 91
- 2015, Mental Health Atlas 2014
- 2010, SAS/STATR Software
Cited by
Sorted by citations
Auerbach, R. P., Collaborators, W. W.-I., Mortier, P., Bruffaerts, R., Alonso, J., Benjet, C., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Green, J. G., et al. (2018) · Journal of Abnormal Psychology · doi:10.1037/abn0000362 · Cited by 2,522 · see citing works
Self-citationTwenge, J. M., Cooper, A. B., Joiner, T. E., Duffy, M. E., & Binau, S. G. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000410 · Cited by 1,469 · see citing works
Odriozola-González, P., Planchuelo-Gómez, Á., Irurtia, M. J., & de Luis-García, R. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113108 · Cited by 1,181 · see citing works
Mental health problems in college freshmen: Prevalence and academic functioning
Bruffaerts, R., Mortier, P., Kiekens, G., Auerbach, R. P., Cuijpers, P., Demyttenaere, K., Green, J. G., Nock, M. K., & Kessler, R. C. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.07.044 · Cited by 1,047 · see citing works
Self-citationSheldon, E., Simmonds-Buckley, M., Bone, C., Mascarenhas, T., Chan, N., Wincott, M., Gleeson, H., Sow, K., Hind, D., & Barkham, M. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.03.054 · Cited by 644 · see citing works
The prevalence of suicidal thoughts and behaviours among college students: a meta-analysis
Mortier, P., Cuijpers, P., Kiekens, G., Auerbach, R. P., Demyttenaere, K., Green, J. G., Kessler, R. C., Nock, M. K., & Bruffaerts, R. (2018) · Psychological Medicine · doi:10.1017/s0033291717002215 · Cited by 572 · see citing works
Self-citationDuffy, M. E., Twenge, J. M., & Joiner, T. E. (2019) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.04.033 · Cited by 579 · see citing works
Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., bin Saleh, K., Alowais, S. A., Alshaya, O. A., Rahman, I., Al Yami, M. S., et al. (2023) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2023.05.016 · Cited by 565 · see citing works
Harrer, M., Adam, S. H., Baumeister, H., Cuijpers, P., Karyotaki, E., Auerbach, R. P., Kessler, R. C., Bruffaerts, R., Berking, M., & Ebert, D. D. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1759 · Cited by 445 · see citing works
Self-citationCharles, N. E., Strong, S. J., Burns, L. C., Bullerjahn, M. R., & Serafine, K. M. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.113706 · Cited by 459 · see citing works
Ebert, D. D., Mortier, P., Kaehlke, F., Bruffaerts, R., Baumeister, H., Auerbach, R. P., Alonso, J., Vilagut, G., Martínez, K. U., Lochner, C., et al. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1782 · Cited by 407 · see citing works
Self-citationKaryotaki, E., Cuijpers, P., Albor, Y., Alonso, J., Auerbach, R. P., Bantjes, J., Bruffaerts, R., Ebert, D. D., Hasking, P., Kiekens, G., et al. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01759 · Cited by 389 · see citing works
Self-citationHamza, C. A., Ewing, L., Heath, N. L., & Goldstein, A. L. (2021) · Canadian Psychology / Psychologie canadienne · doi:10.1037/cap0000255 · Cited by 351 · see citing works
Sano, A., Taylor, S., McHill, A. W., Phillips, A. J., Barger, L. K., Klerman, E., & Picard, R. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9410 · Cited by 333 · see citing works
“We chose to approach this goal beginning with college students, most of whom report high stress, and some of whom are at risk of low or declining mental health [15,16].”
MethodSuicidal Thoughts and Behaviors Among First-Year College Students: Results From the WMH-ICS Project
Mortier, P., Auerbach, R. P., Alonso, J., Bantjes, J., Benjet, C., Cuijpers, P., Ebert, D. D., Green, J. G., Hasking, P., Nock, M. K., et al. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.01.018 · Cited by 307 · see citing works
Self-citationEbert, D. D., Cuijpers, P., Muñoz, R. F., & Baumeister, H. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00116 · Cited by 244 · see citing works
Self-citationMental health care for university students: a way forward?
Duffy, A., Saunders, K. E. A., Malhi, G. S., Patten, S., Cipriani, A., McNevin, S. H., MacDonald, E., & Geddes, J. (2019) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30275-5 · Cited by 261 · see citing works
Harrer, M., Adam, S. H., Fleischmann, R. J., Baumeister, H., Auerbach, R., Bruffaerts, R., Cuijpers, P., Kessler, R. C., Berking, M., Lehr, D., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9293 · Cited by 216 · see citing works
“Despite the availability of effective treatment [6], only 1 in 5 students with mental disorders receives minimally adequate treatment [1].”
BackgroundSelf-citationBruffaerts, R., Mortier, P., Auerbach, R. P., Alonso, J., Hermosillo De la Torre, A. E., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Green, J. G., Hasking, P., et al. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1764 · Cited by 228 · see citing works
Self-citationAlonso, J., Mortier, P., Auerbach, R. P., Bruffaerts, R., Vilagut, G., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Ennis, E., Gutiérrez-García, R. A., et al. (2018) · Depression and Anxiety · doi:10.1002/da.22778 · Cited by 205 · see citing works
Self-citationCuijpers, P., Auerbach, R. P., Benjet, C., Bruffaerts, R., Ebert, D., Karyotaki, E., & Kessler, R. C. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1761 · Cited by 190 · see citing works
“…cense, which permits use, distribution and reproduction in any medium, provided shed by John Wiley & Sons Ltd. wileyonlinelibrary.com/journal/mpr 1 of 6 Mental health problems are important predictors of dropout from college and academic performance (Auerbach et al., 2016; Bruffaerts et al., 2018).”
BackgroundSelf-citationOptimizing Students’ Mental Health and Academic Performance: AI-Enhanced Life Crafting
Dekker, I., De Jong, E. M., Schippers, M. C., De Bruijn-Smolders, M., Alexiou, A., & Giesbers, B. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01063 · Cited by 176 · see citing works
University students’ use of mental health services: a systematic review and meta-analysis
Osborn, T. G., Li, S., Saunders, R., & Fonagy, P. (2022) · International Journal of Mental Health Systems · doi:10.1186/s13033-022-00569-0 · Cited by 167 · see citing works
Christ, C., Schouten, M. J., Blankers, M., van Schaik, D. J., Beekman, A. T., Wisman, M. A., Stikkelbroek, Y. A., & Dekker, J. J. (2020) · Journal of Medical Internet Research · doi:10.2196/17831 · Cited by 148 · see citing works
González-García, M., Álvarez, J. C., Pérez, E. Z., Fernandez-Carriba, S., & López, J. G. (2021) · Mindfulness · doi:10.1007/s12671-021-01632-6 · Cited by 117 · see citing works
“…confinement, concerns emerged relative to the adverse psychological consequences of this unprecedented situation, especially since mental health problems have already been on the rise among university students in recent years (Auerbach et al., 2016; Bruffaerts et al., 2018; Storrie et al., 2010).”
BackgroundA 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
Ebert, D. D., Franke, M., Kählke, F., Küchler, A., Bruffaerts, R., Mortier, P., Karyotaki, E., Alonso, J., Cuijpers, P., Berking, M., et al. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1754 · Cited by 105 · see citing works
Self-citationKang, H. K., Rhodes, C., Rivers, E., Thornton, C. P., & Rodney, T. (2021) · Journal of Psychosocial Nursing and Mental Health Services · doi:10.3928/02793695-20201104-03 · 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
Self-citationBolinski, F., Boumparis, N., Kleiboer, A., Cuijpers, P., Ebert, D. D., & Riper, H. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100321 · Cited by 87 · see citing works
Self-citationSalamanca-Sanabria, A., Richards, D., Timulak, L., Connell, S., Mojica Perilla, M., Parra-Villa, Y., & Castro-Camacho, L. (2020) · JMIR Mental Health · doi:10.2196/13392 · Cited by 83 · see citing works
Riboldi, I., Cavaleri, D., Calabrese, A., Capogrosso, C. A., Piacenti, S., Bartoli, F., Crocamo, C., & Carrà, G. (2023) · Revista de Psiquiatría y Salud Mental · doi:10.1016/j.rpsm.2022.04.005 · Cited by 86 · see citing works
El-Monshed, A. H., El-Adl, A. A., Ali, A. S., & Loutfy, A. (2022) · Journal of American College Health · doi:10.1080/07448481.2021.1891086 · Cited by 84 · see citing works
Flett, J. A. M., Conner, T. S., Riordan, B. C., Patterson, T., & Hayne, H. (2020) · Psychology & Health · doi:10.1080/08870446.2019.1711089 · Cited by 84 · see citing works
Paula, W. D., Breguez, G. S., Machado, E. L., & Meireles, A. L. (2020) · Brazilian Journal of Health Review · doi:10.34119/bjhrv3n4-119 · Cited by 85 · see citing works
The association between depression, anxiety and substance use among Canadian post-secondary students
Esmaeelzadeh, S., Moraros, J., Thorpe, L., & Bird, Y. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s187419 · Cited by 77 · see citing works
Alonso, J., Vilagut, G., Mortier, P., Auerbach, R. P., Bruffaerts, R., Cuijpers, P., Demyttenaere, K., Ebert, D. D., Ennis, E., Gutiérrez‐García, R. A., et al. (2019) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1750 · Cited by 79 · see citing works
Self-citationRecent Developments in Digital Mental Health Interventions for College and University Students
Becker, T. D., & Torous, J. B. (2019) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-019-00178-8 · Cited by 67 · see citing works
Ebert, D. D., Harrer, M., Apolinário-Hagen, J., & Baumeister, H. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-981-32-9721-0_29 · Cited by 76 · see citing works
Self-citationSocial context and the real-world consequences of social anxiety
Hur, J., DeYoung, K. A., Islam, S., Anderson, A. S., Barstead, M. G., & Shackman, A. J. (2020) · Psychological Medicine · doi:10.1017/s0033291719002022 · Cited by 74 · see citing works
Suicide in Northern Ireland: epidemiology, risk factors, and prevention
O'Neill, S., & O'Connor, R. C. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30525-5 · Cited by 67 · see citing works
Self-citationHarrer, M., Apolinário-Hagen, J., Fritsche, L., Salewski, C., Zarski, A.-C., Lehr, D., Baumeister, H., Cuijpers, P., & Ebert, D. D. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100374 · Cited by 63 · see citing works
Self-citationOliveira Carvalho, P., Hülsdünker, T., & Carson, F. (2021) · Behavioral Sciences · doi:10.3390/bs12010003 · Cited by 66 · see citing works
Karyotaki, E., Klein, A. M., Ciharova, M., Bolinski, F., Krijnen, L., de Koning, L., de Wit, L., van der Heijde, C. M., Ebert, D. D., Riper, H., et al. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.104028 · Cited by 60 · see citing works
“Nevertheless, the majority of college students with mental health problems do not receive psychological care despite the available counseling services at many colleges (Auerbach et al., 2016; Blanco et al., 2008; Bruffaerts et al., 2019).”
BackgroundSelf-citationMental health during COVID-19 pandemic: the role of optimism and emotional regulation
Krifa, I., van Zyl, L. E., Braham, A., Ben Nasr, S., & Shankland, R. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031413 · Cited by 55 · see citing works
Tabor, E., Patalay, P., & Bann, D. (2021) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-021-02032-w · Cited by 57 · see citing works
Ahorsu, D. K., Adjaottor, E. S., Yeboah, F. A., & Opoku, Y. (2021) · Journal of Mental Health · doi:10.1080/09638237.2020.1739253 · Cited by 48 · see citing works
Alrashdi, D. H., Chen, K. K., Meyer, C., & Gould, R. L. (2023) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-023-00321-6 · Cited by 50 · see citing works
LaMontagne, A. D., Shann, C., Lolicato, E., Newton, D., Owen, P. J., Tomyn, A. J., & Reavley, N. J. (2023) · BMC Public Health · doi:10.1186/s12889-023-15123-x · Cited by 47 · see citing works
Fleischmann, R. J., Harrer, M., Zarski, A.-C., Baumeister, H., Lehr, D., & Ebert, D. D. (2018) · Internet Interventions · doi:10.1016/j.invent.2017.12.001 · Cited by 47 · see citing works
Self-citationProgram evaluation of a student-led peer support service at a Canadian university
Suresh, R., Karkossa, Z., Richard, J., & Karia, M. (2021) · International Journal of Mental Health Systems · doi:10.1186/s13033-021-00479-7 · Cited by 45 · see citing works
Fu, Z., Zhou, S., Burger, H., Bockting, C. L. H., & Williams, A. D. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.058 · Cited by 44 · see citing works
Shafiq, S., Nipa, S. N., Sultana, S., Rahman, M. R.-U., & Rahman, M. M. (2021) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105789 · Cited by 44 · see citing works
Rahmadiana, M., Karyotaki, E., Schulte, M., Ebert, D. D., Passchier, J., Cuijpers, P., Berger, T., van Ballegooijen, W., Wimbarti, S., & Riper, H. (2021) · JMIR Mental Health · doi:10.2196/20036 · Cited by 44 · see citing works
Self-citationOliveira, C., Pacheco, M., Borges, J., Meira, L., & Santos, A. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100609 · Cited by 42 · see citing works
Dear, B. F., Johnson, B., Singh, A., Wilkes, B., Brkic, T., Gupta, R., Jones, M. P., Bailey, S., Dudeney, J., Gandy, M., et al. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.06.044 · Cited by 36 · see citing works
Machado, B. C., Pinto, E., Silva, M., Veiga, E., Sá, C., Kuhz, S., Silva, P. O., Pimenta, A., Gomes, A., Almeida, A., et al. (2023) · PLOS ONE · doi:10.1371/journal.pone.0285317 · Cited by 34 · see citing works
Martínez-Rubio, D., Colomer-Carbonell, A., Sanabria-Mazo, J. P., Pérez-Aranda, A., Navarrete, J., Martínez-Brotóns, C., Escamilla, C., Muro, A., Montero-Marín, J., Luciano, J. V., et al. (2023) · PLOS ONE · doi:10.1371/journal.pone.0280791 · Cited by 33 · see citing works
Bolinski, F., Kleiboer, A., Karyotaki, E., Bosmans, J. E., Zarski, A.-C., Weisel, K. K., Ebert, D. D., Jacobi, C., Cuijpers, P., & Riper, H. (2018) · Trials · doi:10.1186/s13063-018-2477-y · Cited by 31 · see citing works
Self-citationSuffoletto, B., Goldstein, T., Gotkiewicz, D., Gotkiewicz, E., George, B., & Brent, D. (2021) · JMIR Formative Research · doi:10.2196/32271 · Cited by 29 · see citing works
Karyotaki, E., Klein, A. M., Riper, H., Wit, L. D., Krijnen, L., Bol, E., Bolinski, F., Burger, S., Ebert, D. D., Auerbach, R. P., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-028739 · Cited by 28 · see citing works
Self-citationKasteenpohja, T., Marttunen, M., Aalto-Setälä, T., Perälä, J., Saarni, S. I., & Suvisaari, J. (2018) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2017.1418429 · Cited by 26 · see citing works
Ma, L., Wang, Y., Pan, L., Cui, Z., & Schluter, P. J. (2022) · Journal of Behavioral and Cognitive Therapy · doi:10.1016/j.jbct.2022.05.002 · Cited by 26 · see citing works
Siddik, M. A. B., Hasan, M. N., Mahmud, A., Munmun, M. S., Milad, M. H., Ali, A., Ahmed, Z., & Uddin, M. J. (2023) · PLOS ONE · doi:10.1371/journal.pone.0295143 · Cited by 26 · see citing works
Rahmadiana, M., Karyotaki, E., Passchier, J., Cuijpers, P., van Ballegooijen, W., Wimbarti, S., & Riper, H. (2019) · Internet Interventions · doi:10.1016/j.invent.2018.11.002 · Cited by 25 · see citing works
Self-citationBolinski, F., Kleiboer, A., Neijenhuijs, K., Karyotaki, E., Wiers, R., de Koning, L., Jacobi, C., Zarski, A.-C., Weisel, K. K., Cuijpers, P., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/40892 · Cited by 24 · see citing works
Self-citationPerfectionism, Substance Use, and Mental Health in College Students: A Longitudinal Analysis
Nelsen, S. K., Kayaalp, A., & Page, K. J. (2023) · Journal of American College Health · doi:10.1080/07448481.2021.1891076 · Cited by 21 · see citing works
Experiential Avoidance and Meaning in Life as Predictors of Valued Living: A daily diary study
Pavlacic, J. M., Schulenberg, S. E., & Buchanan, E. M. (2021) · Journal of Prevention and Health Promotion · doi:10.1177/2632077021998261 · Cited by 18 · see citing works
Guenthner, L., Baldofski, S., Kohls, E., Schuhr, J., Brock, T., & Rummel-Kluge, C. (2023) · Behavioral Sciences · doi:10.3390/bs13110885 · Cited by 13 · see citing works
Hennemann, S., Böhme, K., Kleinstäuber, M., Ruckes, C., Baumeister, H., Daniel Ebert, D., Küchler, A.-M., & Witthöft, M. (2022) · Behavior Therapy · doi:10.1016/j.beth.2022.06.006 · Cited by 11 · see citing works
Berman, A. H., Topooco, N., Lindfors, P., Bendtsen, M., Lindner, P., Molander, O., Kraepelien, M., Sundström, C., Talebizadeh, N., Engström, K., et al. (2024) · Trials · doi:10.1186/s13063-024-07986-1 · Cited by 9 · see citing works
Klein, A., Wolters, N. E., Bol, E. J. M., Koelen, J., de Koning, L., Roetink, S. S. M., van Blom, J. J., Pronk, T., van der Heijde, C., Salemink, E., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-049554 · Cited by 10 · see citing works
Self-citationMoreno-Gómez, A., Luna, P., García-Diego, C., Rodríguez-Donaire, A., & Cejudo, J. (2023) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2023.102252 · Cited by 8 · see citing works
Zhu, Y., Zhu, B.-W., Te, Y., Badarulzaman, N. B., & Xiong, L. (2023) · Systems · doi:10.3390/systems11020104 · Cited by 7 · see citing works
Laure, T., Engels, R. C. M. E., Remmerswaal, D., Spruijt-Metz, D., Konigorski, S., & Boffo, M. (2023) · JMIR Research Protocols · doi:10.2196/46603 · Cited by 6 · see citing works
“Targeting these transdiagnostic factors has been shown promising in the reduction of depressive and anxiety symptoms [35], both of which are prevalent among the university student population [3,4].”
BackgroundMohd Kassim, M. A., Pang, N. T. P., & James, S. (2020) · Borneo Epidemiology Journal · doi:10.51200/bej.v1i2.2746 · Cited by 5 · see citing works
Gao, F., Jia, S., Yin, S., Yin, Z., Guan, W., Ding, F., Wang, X., & Wan, P. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07310-4 · Cited by 5 · see citing works
Barriers and Facilitators to the Implementation of a Peer Support Intervention in Universities
Maillé, S., Beaulieu, F., Lachance, L., & Grégoire, S. (2025) · Journal of College Student Mental Health · doi:10.1080/28367138.2024.2325437 · Cited by 4 · see citing works
Viskovich, S., Fowler, J. A., & Pakenham, K. I. (2023) · Australian Psychologist · doi:10.1080/00050067.2023.2212150 · Cited by 3 · see citing works
Lee, N., Kim, M., & Jung, M. (2024) · Journal of Research and Health · doi:10.32598/jrh.14.1.2358.1 · Cited by 3 · see citing works
Pilatti, A., Correa, P., Michelini, Y., Bravo, A. J., Pacini, G., & Pautassi, R. M. (2024) · Substance Use & Misuse · doi:10.1080/10826084.2024.2370026 · Cited by 1 · see citing works
“This often exacerbates their vulnerability to develop mental health issues, posing adverse consequences for their well-being and academic performance (Auerbach et al., 2016; Bravo et al., 2018; Bruffaerts et al., 2018; Pedrelli et al., 2015).”
- Authors
- Auerbach, R. P., Alonso, J., Axinn, W. G., Cuijpers, P., Ebert, D. D., Green, J. G., Hwang, I., Kessler, R. C., Liu, H., Mortier, P., Nock, M. K., Pinder-Amaker, S., Sampson, N. A., Aguilar-Gaxiola, S., Al-Hamzawi, A., Andrade, L. H., Benjet, C., Caldas-de-Almeida, J. M., Demyttenaere, K., Florescu, S., de Girolamo, G., Gureje, O., Haro, J. M., Karam, E. G., Kiejna, A., Kovess-Masfety, V., Lee, S., McGrath, J. J., O'Neill, S., Pennell, B.-E., Scott, K., ten Have, M., Torres, Y., Zaslavsky, A. M., Zarkov, Z., & Bruffaerts, R.
- Affiliations
- Harvard University (US)
- Universitat Pompeu Fabra (ES)
- University of Michigan (US)
- Amsterdam Public Health (NL)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Boston University (US)
- KU Leuven (BE)
- University of Al-Qadisiyah (IQ)
- Universidade de São Paulo (BR)
- Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (MX)
- Universitair Ziekenhuis Leuven (BE)
- National School of Public Health, Management and Professional Development (RO)
- University College Hospital, Ibadan (NG)
- Centro de Investigación Biomédica en Red de Salud Mental (ES)
- University of Balamand (LB)
- Wroclaw Medical University (PL)
- Chinese University of Hong Kong (HK)
- The University of Queensland (AU)
- University of Otago (NZ)
- Universidad CES (CO)
- National Center of Public Health and Analyses (BG)
- Corresponding author
- Kessler, R. C.
- ORCID
- Auerbach, R. P.
- Alonso, J.
- Axinn, W. G.
- Cuijpers, P.
- Ebert, D. D.
- Green, J. G.
- Kessler, R. C.
- Liu, H.
- Mortier, P.
- Nock, M. K.
- Sampson, N. A.
- Andrade, L. H.
- Benjet, C.
- Demyttenaere, K.
- Florescu, S.
- Gureje, O.
- Haro, J. M.
- Karam, E. G.
- Kiejna, A.
- Lee, S.
- McGrath, J. J.
- Scott, K.
- Torres, Y.
- Zaslavsky, A. M.
- Zarkov, Z.
- Bruffaerts, R.
- Venue
- Psychological Medicine
- Publisher
- Cambridge University Press (CUP)
- Published
- 2016-08-03
- Volume
- 46
- Issue
- 14
- Pages
- 2955-2970
- ISSN
- 0033-2917 (ISSN-L)
- 1469-8978
- PMC
- PMC5129654
- OpenAlex
- W2503814187
- Cited by
- 1,587
- References
- 43
- Citations by year
- 2026: 155 · 2025: 219 · 2024: 208 · 2023: 210 · 2022: 228 · 2021: 234 · 2020: 157 · 2019: 94 · 2018: 58 · 2017: 22
- FWCI
- 91.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Psychological Medicine (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- PubMed Central (acceptedVersion)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (acceptedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (acceptedVersion)
- Ulster University Research Portal (Ulster University) (submittedVersion, other-oa)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Lirias (submittedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, public-domain)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Robert Wood Johnson Foundation (044708)
- John D. and Catherine T. MacArthur Foundation (R01 DA016558, R13-MH066849)
- John W. Alden Trust
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- AstraZeneca
- GlaxoSmithKline
- World Health Organization
- Australian Government
- Universidad CES
- European Commission (EAHC 20081308, 20081308, QLG5–1999-01042, SANCO2004123, 2004123)
- Public Health Agency (STL/5184/15, RES/4792/13, COM/4027/08)
- Fundação de Amparo à Pesquisa do Estado de São Paulo (03/00204-3, 03/00204?)
- Generalitat de Catalunya (01042)
- Bundesministerium für Gesundheit
- Shire
- Universidade de Lisboa
- Ministerio de Ciencia y Tecnología (SAF 2000 158-CE)
- Regione Piemonte (00/0028)
- Fakultet Medicinskih Nauka, Univerziteta U Kragujevcu
- Servier
- H. Lundbeck A/S
- Fundação Champalimaud (R01 MH070884)
- Ministerio de Salud
- Ministerstwo Zdrowia
- National Institutes of Health (5r13mh066849-04, 5r01mh069864-04, 5r01mh070884-05)
- Substance Abuse and Mental Health Services Administration
- Pfizer Foundation (R01‐MH069864, R01-DA016558, R13-MH066849, R03-TW006481)
- Pan American Health Organization
- Executive Agency for Health and Consumers
- Fundação para a Ciência e a Tecnologia
- Instituto de Salud Carlos III (CB06/02/0046, RETICS RD06/0011, RD06/0011, FIS 00/0028, CIBER CB06/02/0046)
- Departament de Salut, Generalitat de Catalunya
- National Institute of Mental Health (R13-MH-066849, NIMH R01MH070884, R01‐MH070884, T32MH017119, U01-MH-60220, MH60220, MH070884, K23MH097786, U01MH060220, R01‐MH069864)
- National Institute on Drug Abuse (K05DA015799, R01DA016558)
- Fogarty International Center (FIRCA R03TW006481, R03TW006481)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD041028)
- Cilag
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
- Social Sciences › Education › Higher Education Research Studies
- Keywords
- mental illness, university students, college attrition, age of onset, major depressive disorder, anxiety disorders, mood disorders, behavioral disorders, prevalence of mental disorders, treatment of mental disorders, educational attainment, World Mental Health Surveys
- MeSH terms
- Adolescent, Adult, Mental Disorders, Female, Health Surveys, Humans, Male, Mental Health, Students, Universities, Global Health, World Health Organization, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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