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BACKGROUND: Potentially traumatic events (PTEs) are common and associated with detrimental outcomes over the life-course. Previous studies exploring the causes and consequences of PTE-exposure profiles are often from high-income settings and fail to explore the implications of sample selection (i.e., population-representative versus PTE-restricted). METHODS: Among individuals in the Nepal Chitwan Valley Family Study, latent class analyses (LCA) were performed on 11 self-reported PTEs collected by the Nepali version of the World Mental Health Consortium’s Composite International Diagnostic Interview 3.0 from 2016 to 2018, in a population-representative sample (N = 10,714), including a PTE-restricted subsample (N = 9183). Multinomial logistic regressions explored relationships between sociodemographic factors and class membership. Logistic regressions assessed relationships between class membership and psychiatric outcomes. RESULTS: On average, individuals were exposed to 2 PTEs in their lifetime. A five-class solution showed optimal fit for both samples; however, specific classes were distinct. No single sociodemographic factor was universally associated with PTE class membership in the population-representative sample; while several factors (e.g., age, age at incident PTE, education, marital status, and migration) were consistently associated with class membership in the PTE-subsample. PTE class membership differentiated psychiatric outcomes in the population-representative sample more than the PTE-subsample. LIMITATIONS: Primary limitations are related to the generalizability to high-income settings, debate on LCA model fit statistic usage for final class selection, and cross-sectional nature of data collection. CONCLUSIONS: Although population-representative samples provide information applicable to large-scale, population-based programming and policy, PTE-subsample analyses may provide additional nuance in PTE profiles and their consequences, important for specialized prevention efforts.

Purpose: To investigate the associations of childhood adversities (CAs) with lifetime onset and transitions across suicidal thoughts and behaviors (STB) among incoming college students. Methods: Web-based self-report surveys administered to 20,842 incoming college students from nine countries (response rate 45.6%) assessed lifetime suicidal ideation, plans and attempts along with seven CAs: parental psychopathology, three types of abuse (emotional, physical, sexual), neglect, bully victimization, and dating violence. Logistic regression estimated individual- and population-level associations using CA operationalizations for type, number, severity, and frequency. Results: Associations of CAs with lifetime ideation and the transition from ideation to plan were best explained by the exact number of CA types (OR range 1.32–52.30 for exactly two to seven CAs). Associations of CAs with a transition to attempts were best explained by the frequency of specific CA types (scaled 0–4). Attempts among ideators with a plan were significantly associated with all seven CAs (OR range 1.16–1.59) and associations remained significant in adjusted analyses with the frequency of sexual abuse (OR = 1.42), dating violence (OR = 1.29), physical abuse (OR = 1.17) and bully victimization (OR = 1.17). Attempts among ideators without plan were significantly associated with frequency of emotional abuse (OR = 1.29) and bully victimization (OR = 1.36), in both unadjusted and adjusted analyses. Population attributable risk simulations found 63% of ideation and 30–47% of STB transitions associated with CAs. Conclusion: Early-life adversities represent a potentially important driver in explaining lifetime STB among incoming college students. Comprehensive intervention strategies that prevent or reduce the negative effects of CAs may reduce subsequent onset of STB.

The first year of college may carry especially high risk for onset of alcohol use disorders. We assessed the one-year incidence of alcohol use disorders (AUD) among incoming first-year students, predictors of AUD-incidence, prediction accuracy and population impact. A prospective cohort study of first-year college students (baseline: N = 5843; response rate = 51.8%; 1-year follow-up: n = 1959; conditional response rate = 41.6%) at a large university in Belgium was conducted. AUD were evaluated with the AUDIT and baseline predictors with the Composite International Diagnostic Interview Screening Scales (CIDI-SC). The one-year incidence of AUD was 3.9% (SE = 0.4). The most important individual-level baseline predictors of AUD incidence were being male (OR = 1.53; 95% CI = 1.12-2.10), a break-up with a romantic partner (OR = 1.67; 95% CI = 1.08-2.59), hazardous drinking (OR = 3.36; 95% CI = 1.31-8.63), and alcohol use characteristics at baseline (ORs between 1.29 and 1.38). Multivariate cross-validated prediction (cross-validated AUC = 0.887) shows that 55.5% of incident AUD cases occurred among the 10% of students at highest predicted risk (20.1% predicted incidence in this highest-risk subgroup). Four out of five students with incident AUD would hypothetically be preventable if baseline hazardous drinking was to be eliminated along with a reduction of one standard deviation in alcohol use characteristics scores, and another 15.0% would potentially be preventable if all 12-month stressful events were eliminated. Screening at college entrance is a promising strategy to identify students at risk of transitioning to more problematic drinking and AUD, thus improving the development and deployment of targeted preventive interventions. ispartof: European Child & Adolescent Psychiatry vol:31 issue:7 ispartof: location:Germany status: Published online

Objective: To estimate structural and attitudinal reasons for premature discontinuation of mental health treatment, socio-demographic and clinical correlates of treatment dropout due to these reasons, and to test country differences from the overall effect across the region of the Americas. Methods: World Health Organization-World Mental Health (WMH) surveys were carried out in six countries in the Americas: Argentina, Brazil, Colombia, Mexico, Peru and USA. Among the 1991 participants who met diagnostic criteria (measured with the Composite International Diagnostic Interview (WMH–CIDI)) for a mental disorder and were in treatment in the prior 12-months, the 236 (12.2%) who dropped out of treatment before the professional recommended were included. Findings: In all countries, individuals more frequently reported attitudinal (79.2%) rather than structural reasons (30.7%) for dropout. Disorder severity was associated with structural reasons; those with severe disorder (versus mild disorder) had 3.4 (95%CI=1.1–11.1) times the odds of reporting a structural reason. Regarding attitudinal reasons, those with lower income (versus higher income) were less likely to discontinue treatment because of getting better (OR=0.4; 95%CI= 0.2–0.9). Country specific variations were found. Limitations: Not all countries, or the poorest, in the region were included. Some estimations couldn´t be calculated due to cell size. Causality cannot be assumed. Conclusion: Clinicians should in the first sessions address attitudinal factors that may lead to premature termination. Public policies need to consider distribution of services to increase convenience. A more rational use of resources would be to offer brief therapies to individuals most likely to drop out of treatment prematurely.

PURPOSE: To investigate the prevalence and predictors of perceived helpfulness of treatment in persons with a history of DSM-IV social anxiety disorder (SAD), using a worldwide population-based sample.METHODS: The World Health Organization World Mental Health Surveys is a coordinated series of community epidemiological surveys of non-institutionalized adults; 27 surveys in 24 countries (16 in high-income; 11 in low/middle-income countries; N = 117,856) included people with a lifetime history of treated SAD.RESULTS: In respondents with lifetime SAD, approximately one in five ever obtained treatment. Among these (n = 1322), cumulative probability of receiving treatment they regarded as helpful after seeing up to seven professionals was 92.2%. However, only 30.2% persisted this long, resulting in 65.1% ever receiving treatment perceived as helpful. Perceiving treatment as helpful was more common in female respondents, those currently married, more highly educated, and treated in non-formal health-care settings. Persistence in seeking treatment for SAD was higher among those with shorter delays in seeking treatment, in those receiving medication from a mental health specialist, and those with more than two lifetime anxiety disorders.CONCLUSIONS: The vast majority of individuals with SAD do not receive any treatment. Among those who do, the probability that people treated for SAD obtain treatment they consider helpful increases considerably if they persisted in help-seeking after earlier unhelpful treatments.

Background There is serious concern over the increase in mental health problems during the coronavirus disease 2019 (Covid-19) pandemic. Methods Based on data from two Mexican National Health and Nutrition Surveys conducted in 2018–2019 and 2020 (n = 17,925 and 4,913, respectively), we estimated the prevalence of suicide attempts among adolescents 10–19 years old in the previous year. We constructed a multivariate logistic regression model adjusted by sociodemographic characteristics and contextual variables for the Covid-19 pandemic. Results The prevalence of suicide attempts in the previous year was similar in both surveys. We found that women, youth in urban localities and individuals living in households where a family member had lost her/his job as a result of the Covid-19 contingency were more likely to attempt suicide compared to their counterparts. On the other hand, attending classes online proved to be a protective factor (aOR=0.3, 95% CI=0.1, 0.8, p = 0.022). Limitations The principal limitation of our study concerned the restricted size of our sample for the 2020 survey wave. Conclusions Population-level policies aimed at providing economic protection and helping youth to return to school would exert a favorable impact on the mental health and suicidal behavior of youths.

BackgroundThe most common treatment for major depressive disorder (MDD) is antidepressant medication (ADM). Results are reported on frequency of ADM use, reasons for use, and perceived effectiveness of use in general population surveys across 20 countries.MethodsFace-to-face interviews with community samples totaling n = 49 919 respondents in the World Health Organization (WHO) World Mental Health (WMH) Surveys asked about ADM use anytime in the prior 12 months in conjunction with validated fully structured diagnostic interviews. Treatment questions were administered independently of diagnoses and asked of all respondents.Results3.1% of respondents reported ADM use within the past 12 months. In high-income countries (HICs), depression (49.2%) and anxiety (36.4%) were the most common reasons for use. In low- and middle-income countries (LMICs), depression (38.4%) and sleep problems (31.9%) were the most common reasons for use. Prevalence of use was 2–4 times as high in HICs as LMICs across all examined diagnoses. Newer ADMs were proportionally used more often in HICs than LMICs. Across all conditions, ADMs were reported as very effective by 58.8% of users and somewhat effective by an additional 28.3% of users, with both proportions higher in LMICs than HICs. Neither ADM class nor reason for use was a significant predictor of perceived effectiveness.ConclusionADMs are in widespread use and for a variety of conditions including but going beyond depression and anxiety. In a general population sample from multiple LMICs and HICs, ADMs were widely perceived to be either very or somewhat effective by the people who use them.

BackgroundAlthough non-suicidal self-injury (NSSI) is an issue of major concern to colleges worldwide, we lack detailed information about the epidemiology of NSSI among college students. The objectives of this study were to present the first cross-national data on the prevalence of NSSI and NSSI disorder among first-year college students and its association with mental disorders.MethodsData come from a survey of the entering class in 24 colleges across nine countries participating in the World Mental Health International College Student (WMH-ICS) initiative assessed in web-based self-report surveys (20 842 first-year students). Using retrospective age-of-onset reports, we investigated time-ordered associations between NSSI and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-IV) mood (major depressive and bipolar disorder), anxiety (generalized anxiety and panic disorder), and substance use disorders (alcohol and drug use disorder).ResultsNSSI lifetime and 12-month prevalence were 17.7% and 8.4%. A positive screen of 12-month DSM-5 NSSI disorder was 2.3%. Of those with lifetime NSSI, 59.6% met the criteria for at least one mental disorder. Temporally primary lifetime mental disorders predicted subsequent onset of NSSI [median odds ratio (OR) 2.4], but these primary lifetime disorders did not consistently predict 12-month NSSI among respondents with lifetime NSSI. Conversely, even after controlling for pre-existing mental disorders, NSSI consistently predicted later onset of mental disorders (median OR 1.8) as well as 12-month persistence of mental disorders among students with a generalized anxiety disorder (OR 1.6) and bipolar disorder (OR 4.6).ConclusionsNSSI is common among first-year college students and is a behavioral marker of various common mental disorders.

Given the increased legislative changes toward cannabis use around the globe and the negative consequences of cannabis misuse for public health and safety, a greater understanding of cannabis use transitions is important to guide decision-making. Although evidence on cannabis use-associated factors is vast, studies on the factors influencing the incidence and progression of cannabis use over time are still relatively scarce. This study presents a systematic narrative review of studies focused on longitudinal predictors of cannabis use in order to summarize the state of the field, identify research gaps, and propose avenues for future research.We searched for prospective observational studies that examined factors associated with the initiation, increase, or other longitudinal patterns of cannabis use in the general population, published up to December 2020 and indexed in EBSCOhost, PubMed, and Google Scholar.Of the 31 included studies in this review, most focused on intrapersonal, interpersonal, and socioenvironmental factors. The most consistent predictors of cannabis use transitions across studies were previous patterns of other substance use, mental health and personality traits, family and peer influences, and other factors such as ethnicity and education.We identified a lack of consensus on the definition of outcome variables, objective measures of cannabis use, and international representativeness among the included studies, as none of them was carried out in developing countries. For research to have a greater impact on prevention, treatment, and public policy, more longitudinal studies are needed to increase knowledge of causal mechanisms and the predictive power of risk and protective factors for cannabis use problems.

Patient-reported helpfulness of treatment is an important indicator of quality in patient-centered care. We examined its pathways and predictors among respondents to household surveys who reported ever receiving treatment for major depression, generalized anxiety disorder, social phobia, specific phobia, post-traumatic stress disorder, bipolar disorder, or alcohol use disorder. Data came from 30 community epidemiological surveys - 17 in high-income countries (HICs) and 13 in low- and middle-income countries (LMICs) - carried out as part of the World Health Organization (WHO)'s World Mental Health (WMH) Surveys. Respondents were asked whether treatment of each disorder was ever helpful and, if so, the number of professionals seen before receiving helpful treatment. Across all surveys and diagnostic categories, 26.1% of patients (N=10,035) reported being helped by the very first professional they saw. Persisting to a second professional after a first unhelpful treatment brought the cumulative probability of receiving helpful treatment to 51.2%. If patients persisted with up through eight professionals, the cumulative probability rose to 90.6%. However, only an estimated 22.8% of patients would have persisted in seeing these many professionals after repeatedly receiving treatments they considered not helpful. Although the proportion of individuals with disorders who sought treatment was higher and they were more persistent in HICs than LMICs, proportional helpfulness among treated cases was no different between HICs and LMICs. A wide range of predictors of perceived treatment helpfulness were found, some of them consistent across diagnostic categories and others unique to specific disorders. These results provide novel information about patient evaluations of treatment across diagnoses and countries varying in income level, and suggest that a critical issue in improving the quality of care for mental disorders should be fostering persistence in professional help-seeking if earlier treatments are not helpful.

Objective To examine the prevalence of ADHD and the association of comorbid disorders, and multivariate disorder classes with role impairment in college students. Method About 15,991 freshmen (24 colleges, 9 countries, WMH-ICS) (response rate = 45.6%) completed online WMH-CIDI-SC surveys for 6-month ADHD and six 12-month DSM-IV disorders. We examined multivariate disorder classes using latent class analysis (LCA) and simulated a population attributable risk proportions (PARPs) of ADHD-related impairment. Results About 15.9% had ADHD, of which 58.4% had comorbidities. LCA classified ADHD respondents to pure (42.9%), internalizing (36.0%), bipolar comorbidities (11.3%), and externalizing disorder classes (9.8%). ADHD, comorbidities, and multivariate disorder classes independently predicted severe impairment. PARPs: eliminating ADHD hypothetically reduced severe impairment by 19.2%, 10.1% adjusted for comorbidities, 9.5% for multivariate disorder classes. Conclusions ADHD and comorbid disorders are common and impairing in college students. Personalized transdiagnostic interventions guided by multivariate disorder classes should be explored.

Research is scarce on the prospective predictors of first onset suicidal thoughts and behaviors (STB) and the accuracy of these predictors in university students, particularly in low-and-middle income countries. Therefore, we assessed the 1-year incidence of STB among first-year students, a broad range of prospective predictors of STB incidence, and evaluated the prediction accuracy of a baseline multivariate risk prediction model to identify students at highest risk for STB onset over the subsequent 12 months.Students (n = 3238) from 13 universities in Mexico completed an online survey developed for the World Mental Health International College Student Surveys in their first year and again 12 months after. We ran generalized linear models and receiver operator curves.The 1-year incidence of suicidal ideation, plan and attempt was 8.53%, 3.75%, and 1.16%, respectively. Predictors in final models were female sex (ideation only), minority sexual orientation (ideation only), depression, eating disorders, ADHD (ideation and plan), ongoing arguments or breakup with a romantic partner (ideation only), emotional abuse (ideation only), parental death (ideation, plan), not Catholic/Christian (ideation, plan), not having someone to rely on, psychotic experiences (plan only), and insufficient sleep (attempt only). Prediction accuracy for ideation, plan and attempt was area under the curve = 0.76, 0.81 and 0.78, respectively. Targeting the top 10% of students at highest risk could reduce STB in the subsequent year up to 36%.By assessing these risk/protective factors in incoming students we identified students at greatest risk for developing STB to whom suicide prevention strategies could be targeted.

Background: Major Depressive Disorder (MDD) contributes to a significant proportion of disease burden, disability, economic losses, and impact on need of treatment and health care in Brazil, but systematic information about its treatment coverage is scarce. This paper aims to estimate the gap in treatment coverage for MDD and identify key bottlenecks in obtaining adequate treatment among adult residents in the São Paulo Metropolitan area, Brazil. Methods: A representative face-to-face household survey was conducted among 2,942 respondents aged 18+ years to assess 12-month MDD, characteristics of 12-month treatment received, and bottlenecks to deliver care through the World Mental Health Composite International Diagnostic Interview. Results: Among those with MDD (n=491), 164 (33.3% [SE, 1.9]) were seen in health services, with an overall 66.7% treatment gap, and only 25.2% [SE, 4.2] received effective treatment coverage, which represents 8.5% of those in need, with a 91.5% gap in adequate care (66.4% due to lack of utilization and 25.1% due to inadequate quality and adherence). Critical service bottlenecks identified were: use of psychotropic medication (12.2 percentage points drop), use of antidepressants (6.5), adequate medication control (6.8), receiving psychotherapy (19.8). Conclusions: This is the first study demonstrating the huge treatment gaps for MDD in Brazil, considering not only overall coverage, but also identifying specific quality- and user-adjusted bottlenecks in delivering pharmacological and psychotherapeutic care. These results call for urgent combined actions focused in reducing effective treatment gaps within services utilization, as well as in reducing gaps in availability and accessibility of services, and acceptability of care for those in need.

Research using the IPSCAN Child Abuse Screening Tool for Children (ICAST-C), has provided ample evidence of the magnitude of violence against children. Knowledge about its psychometric characteristics and validity is limited. Hence, our objective was to translate and culturally adapt the ICAST-C in adolescents from Mexico City and determine its psychometric properties.To determine the psychometric properties of the instrument 723 adolescents between 11 and 18 years of age from 9 public secondary schools in Mexico City participated.The study was carried out in two phases: 1) translation and adaptation of the instrument (in 5 steps) and 2) pilot evaluation of the psychometric properties. Total and factor reliabilities were determined, Pearson correlation was used for temporal stability while construct validity was determined by Confirmatory Factor Analysis (CFA), and final adequacy of the items eliminated by the CFA.We developed the culturally relevant Mexican Spanish version of the ICAST-C. The CFA confirmed the six-factor structure hypothesis. To improve the original model we eliminated ten items, the final model showed good global fit indices (χ2(1310) = 2207.68, p .01, χ2/df = 1.68; CFI =0.95; RMSEA = 0.02 [CI95% 0.02-0.03]; SRMR = 0.08). Total and factor reliabilities were adequate (Alpha = 0.79-0.92, r = 0.52-0.75), except for the non-violent discipline factor (Alpha = 0.59, r = 0.38).While these data suggest that this version of the ICAST-C is valid and reliable for adolescents in Mexico City public secondary schools, further research should evaluate the psychometric properties in a national sample.

We seek to evaluate whether Internet Gaming Disorder (IGD) among university students in Mexico during their first year at university predicts a long list of mental disorders a year later, controlling for baseline mental health disorders as well as demographics. This is a prospective cohort study with a one-year follow-up period conducted during the 2018–2019 academic year and followed up during the 2019–2020 academic year at six Mexican universities. Participants were first-year university students (n = 1741) who reported symptoms compatible with an IGD diagnosis at entry (baseline). Outcomes are seven mental disorders (mania, hypomania, and major depressive episodes; generalized anxiety disorder and panic disorder; alcohol use disorder and drug use disorder), and three groups of mental disorders (mood, anxiety, and substance use disorders) at the end of the one-year follow-up. Fully adjusted models, that included baseline controls for groups of mental disorders, rendered all associations null. The association between baseline IGD and all disorders and groups of disorders at follow-up was close to one, suggesting a lack of longitudinal impact of IGD on mental disorders. Conflicting results from available longitudinal studies on the role of IGD in the development of mental disorders warrant further research.

IMPORTANCE: Individual-level social support protects against major depressive disorder (MDD) among adults exposed to trauma. Little is known about the consequences of community-level interventions in the general population. OBJECTIVE: To determine the potential consequences of neighborhood social infrastructure on incident MDD in a high-risk general population. DESIGN, SETTING, AND PARTICIPANTS: This longitudinal, multilevel study estimated associations between a neighborhood-level program in a case-control design and subsequent individual outcomes across 10 years (2006-2015) in a cohort of young adults. Exogenously placed social programs simulate natural experiment conditions in a high-poverty population experiencing armed conflict (1998-2006). The western Chitwan valley in Nepal has a general population at high risk of MDD, with neighborhoods exposed to interventions to improve social support. From a random sample (response rate 93%) selected to represent the general population in 2016, participants aged 25 to 34 years in 2006 were studied. These individuals resided within 149 neighborhoods that varied in their availability of active social support programs. The analyses were conducted between October 2020 and November 2021. EXPOSURES: The Small Farmers Development Program (SFDP) uses shared, joint liability financial credit among neighbors to build social capital and cohesion within neighborhoods. MAIN OUTCOMES AND MEASURES: Onset of DSM-IV MDD after the conflict, assessed by the Nepal-specific, clinically validated World Mental Health Composite International Diagnostic Interview with a life history calendar. The hypothesis tested was that exposure to SFDP reduced adult onset of MDD. RESULTS: Of the 1917 survey participants, 886 (46.2%) were women, and 856 (44.7%) were of Brahmin or Chhetri ethnicity. Of the 149 neighborhoods, 21 had an active SFDP group, and 156 of 1917 (8.1%) participants experienced MDD between 2006 and 2015. Discrete-time hazard models showed participants living in neighborhoods with an SFDP experienced incident MDD at nearly half the rate as others (odds ratio = 0.55; 95% CI, 0.30-1.02; P = .06). A multivariate, multilevel matching analysis showed the incidence of MDD among adults living in neighborhoods with an SFDP was 19 of 256 (7.4%), compared with 33 of 256 (12.9%) in the matched sample with no SFDP (z = 2.05; P = .04). CONCLUSIONS AND RELEVANCE: Living in a neighborhood with community-level social support infrastructure was associated with reduced subsequent rates of adult-onset MDD, even in this high-risk population. Investments in such infrastructure may reduce population-level MDD, supporting clinical focus on potentially unpreventable cases.