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Poor working conditions may be an important source of stress and may therefore contribute to the development of depressive and anxiety disorders. Social support may act as a buffer and protect against the development of depression or anxiety in the face of poor working conditions. With longitudinal data from the Netherlands Mental Health Survey and Incidence Study (NEMESIS), the effect of working conditions and social support on the incidence of depressive and anxiety disorders was examined among 2646 working men and women, aged 18 through 65 years. Three dimensions of self reported working conditions were assessed: psychological demands, decision latitude and job security. Social support was assessed through validated scales for daily emotional support. About 10.5% of working women and 4.6% among working men developed an incident depressive and/or anxiety disorder over 2 years. Psychological demands predicted the incidence of depressive and anxiety disorders in both men and women (RR per score increase = 2.29, 95% CI: 1.44-3.63), whereas decision latitude and job security did not. Social support protected against the incidence of depressive and anxiety disorders. This effect was stronger for men compared to women. Social support did not buffer the unfavorable mental effect of working conditions. Women were more likely to report low levels of decision latitude, whereas men reported higher psychological demands. Working conditions did not explain sex differences in the incidence of depressive and anxiety disorders. Keywords: Depressive and anxiety disorders; Working conditions; Social support; Buffering effect; Gender; The Netherlands

This study assessed differences in quality of life (QL) between homosexual and heterosexual people and attempted to identify factors accounting for observed differences. Data were collected in a representative sample of the Dutch population aged 18-64 (N = 7,076). Classification as heterosexual or homosexual was based upon reported sexual behavior in the preceding year; 84.8% of the total sample (N = 5,998) could be classified: 2.8% of 2,878 sexually active men and 1.4% of 3,120 sexually active women had had same-sex partners. Differences in QL were tested by analysis of variance. Factors accounting for observed differences in QL were identified by selecting determinants of QL on which homosexual and heterosexual people differed and including them with same-sex sexuality in multiple regression analyses. Homosexual men, but not women, differed from their heterosexual counterparts on various dimensions of QL. Lesser QL in homosexual men was predominantly explained by self-esteem and mastery. Same-sex sexuality contributed independently to some of the observed differences. Although same-sex sexuality is related to QL in men, the lack of association in women suggests that the link is mediated by other factors, indicating the need to explore in what respect the situation of homosexual men and women differs. This study also suggests the importance of finding out how lower sense of self-esteem and of mastery come about in homosexual men. KEY WORDS: quality of life; homosexuality; general population sample.

Professional HIV risk taking (nonconsistent condom use with clients) of female prostitutes in The Netherlands is addressed within the context of (early) experiences with abuse, well-being, coping behavior, job satisfaction, and financial need. Data were gathered from 127 female prostitutes on condom use, financial need, and professional attitude, and on experiences with violence and abuse, physical complaints, psychosocial problems, and coping responses. Violent traumatic experiences were found to relate to more severe complaints and problems, and a higher frequency of emotion-focused coping strategies. A risk-taking protection style (as opposed to consistent condom use and selective risk taking) appeared to be associated with more severe experiences with violence, both in childhood and in adult life, with more frequent dissociation as a coping behavior, and with more psychosomatic complaints. Of all the relationships found, more severe experiences with violence on the job were most strongly related to a higher professional HIV risk. KEY WORDS: HIV risk; female prostitutes; victimization; well-being.

Hypotheses about the link between cannabis use and psychosis apply to the within-person level but have been tested mostly at the between-person level. We used a within-person design, in which a person serves as his own control, thus removing the need to consider confounding by any fixed (genetic and nongenetic) characteristic to study the prospective association between cannabis use and the incidence of attenuated psychotic experiences, and vice versa, adjusted for time-varying confounders. We combined 2 general population cohorts (at baseline: Early Developmental Stages of Psychopathology Study, n = 1395; Netherlands Mental Health Survey and Incidence Study-2, n = 6603), which applied a similar methodology to study cannabis use and attenuated psychotic experiences with repeated interviews (T0, T1, T2, and T3) over a period of approximately 10 years. The Hausman test was significant for the adjusted models, indicating the validity of the fixed-effects model. In the adjusted fixed-effects model, prior cannabis use was associated with psychotic experiences (aOR = 7.03, 95% CI: 2.39, 20.69), whereas prior psychotic experiences were not associated with cannabis use (aOR = 0.59, 95% CI: 0.21, 1.71). Longitudinal studies applying random-effects models to study associations between risk factors and mental health outcomes, as well as reverse causality, may not yield precise estimates. Cannabis likely impacts causally on psychosis but not the other way round. [ABSTRACT FROM AUTHOR]

Previously, we established an estimated exposome score for schizophrenia (ES-SCZ) as a cumulative measure of environmental liability for schizophrenia to use in gene–environment interaction studies and for risk stratification in population cohorts. Hereby, we examined the discriminative function of ES-SCZ for identifying individuals diagnosed with schizophrenia spectrum disorder in the general population by measuring the area under the receiver operating characteristic curve (AUC). Furthermore, we compared this ES-SCZ method to an environmental sum score (Esum-SCZ) and an aggregate environmental score weighted by the meta-analytical estimates (Emet-SCZ). We also estimated ORs and Nagelkerke's R 2 for ES-SCZ in association with psychiatric diagnoses and other medical outcomes. ES-SCZ showed a good discriminative function (AUC = 0.84) and statistically significantly performed better than both Esum-SCZ (AUC = 0.80) and Emet-SCZ (AUC = 0.80). At optimal cut point, ES-SCZ showed similar performance in ruling out (LR− = 0.20) and ruling in (LR+ = 3.86) schizophrenia. ES-SCZ at optimal cut point showed also a progressively greater magnitude of association with increasing psychosis risk strata. Among all clinical outcomes, ES-SCZ was associated with schizophrenia diagnosis with the highest OR (2.76, P <.001) and greatest explained variance (R 2 = 14.03%), followed by bipolar disorder (OR = 2.61, P <.001, R 2 = 13.01%) and suicide plan (OR = 2.44, P <.001, R 2 = 12.44%). Our findings from an epidemiologically representative general population cohort demonstrate that an aggregate environmental exposure score for schizophrenia constructed using a predictive modeling approach—ES-SCZ—has the potential to improve risk prediction and stratification for research purposes and may help gain insight into the multicausal etiology of psychopathology. [ABSTRACT FROM AUTHOR]

The polygenic risk score (PRS) allows for quantification of the relative contributions of genes and environment in population-based studies of mental health. We analyzed the impact of transdiagnostic schizophrenia PRS and measures of familial and environmental risk on the level of and change in general mental health (Short-Form-36 mental health) in the Netherlands Mental Health Survey and Incidence Study-2 general population sample, interviewed 4 times over a period of 9 years, yielding 8901 observations in 2380 individuals. Schizophrenia PRS, family history, somatic pain, and a range of environmental risks and social circumstances were included in the regression model of level of and change in mental health. We calculated the relative contribution of each (group of) risk factor(s) to the variance in (change in) mental health. In the combined model, familial and environmental factors explained around 17% of the variance in mental health, of which around 5% was explained by age and sex, 30% by social circumstances, 16% by pain, 22% by environmental risk factors, 24% by family history, and 3% by PRS for schizophrenia (PRS-SZ). Results were similar, but attenuated, for the model of mental health change over time. Childhood trauma and gap between actual and desired social status explained most of the variance. PRS for bipolar disorder, cross-disorder, and depression explained less variance in mental health than PRS-SZ. Polygenic risk for mental suffering, derived from significance-testing in massive samples, lacks impact in analyses focusing on prediction in a general population epidemiological setting. Social-environmental circumstances, particularly childhood trauma and perceived status gap, drive most of the attributable variation in population mental health. [ABSTRACT FROM AUTHOR]

Background Decreasing gender differences in mental health are found largely in countries in which the roles of men and women have improved in terms of opportunities for employment, education, child care and other indicators of increasing gender equality. In this study, we examine how European welfare regimes influence this association between mental health and the social roles that men and women occupy. Methods The EU-World Mental Health data are used, which covers the general population in 10 European countries (n = 37 289); Countries were grouped into four welfare regions: Liberal regime (Northern Ireland), Bismarckian regime (Belgium, Germany, the Netherlands and France), Southern regime (Spain, Italy, Portugal) and Central-Eastern regime (Romania and Bulgaria). The lifetime prevalence of mood, anxiety and alcohol disorders was determined by using the Composite International Diagnostic Interview 3.0. Overall prevalence rates along with odds ratios by means of bivariate logistic regression models are calculated to compare the presence of common mental disorders in women versus men per welfare regime. Results Overall prevalence of common mental disorders is highest in the Liberal regime and lowest in the Central/Eastern regime. The gender gap in mental disorders is largest in the Southern regime and smallest in the Liberal regime. Marital status and certain employment positions help to explain variation in mental disorders across and within welfare regimes. Conclusion Most prominent pathways linking gender to mental ill-health being are related to marital status and certain employment positions. However, these pathways also show substantial variation across welfare regimes. [ABSTRACT FROM AUTHOR]

Identifying modifiable factors through environmental research may improve mental health outcomes. However, several challenges need to be addressed to optimize the chances of success. By analyzing the Netherlands Mental Health Survey and Incidence Study-2 data, we provide a data-driven illustration of how closely connected the exposures and the mental health outcomes are and how model and variable specifications produce "vibration of effects" (variation of results under multiple different model specifications). Interdependence of exposures is the rule rather than the exception. Therefore, exposure-wide systematic approaches are needed to separate genuine strong signals from selective reporting and dissect sources of heterogeneity. Pre-registration of protocols and analytical plans is still uncommon in environmental research. Different studies often present very different models, including different variables, despite examining the same outcome, even if consistent sets of variables and definitions are available. For datasets that are already collected (and often already analyzed), the exploratory nature of the work should be disclosed. Exploratory analysis should be separated from prospective confirmatory research with truly pre-specified analysis plans. In the era of big-data, where very low P values for trivial effects are detected, several safeguards may be considered to improve inferences, eg, lowering P -value thresholds, prioritizing effect sizes over significance, analyzing pre-specified falsification endpoints, and embracing alternative approaches like false discovery rates and Bayesian methods. Any claims for causality should be cautious and preferably avoided, until intervention effects have been validated. We hope the propositions for amendments presented here may help with meeting these pressing challenges. [ABSTRACT FROM AUTHOR]

Background: Previous community surveys of the drop out from mental health treatment have been carried out only in the USA and Canada.Aims: To explore mental health treatment drop out in the World Health Organization World Mental Health Surveys.Method: Representative face-to-face household surveys were conducted among adults in 24 countries. People who reported mental health treatment in the 12 months before interview (n = 8482) were asked about drop out, defined as stopping treatment before the provider wanted.Results: Overall, drop out was 31.7%: 26.3% in high-income countries, 45.1% in upper-middle-income countries, and 37.6% in low/lower-middle-income countries. Drop out from psychiatrists was 21.3% overall and similar across country income groups (high 20.3%, upper-middle 23.6%, low/lower-middle 23.8%) but the pattern of drop out across other sectors differed by country income group. Drop out was more likely early in treatment, particularly after the second visit.Conclusions: Drop out needs to be reduced to ensure effective treatment. [ABSTRACT FROM AUTHOR]

A potentially traumatic event (PTE) contributes to trauma through its frequency, conditional probability of posttraumatic stress disorder (PTSD), and experience of other PTEs. A cross-sectional survey was conducted, enrolling 21,425 adults nationally representative of six European countries. Using the WHO-Composite International Diagnostic Interview, 8,797 were interviewed on 28 PTEs and PTSD. Prevalence of 12-month PTSD was 1.1%. When PTSD was present, the mean number of PTEs experienced was 3.2. In a multivariate analysis on PTEs and gender, six PTEs were found to be more traumatic, and to explain a large percentage of PTSD, as estimated by their attributable risk of PTSD: rape, undisclosed private event, having a child with serious illness, beaten by partner, stalked, beaten by caregiver. [ABSTRACT FROM AUTHOR]

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