BACKGROUND:Risk factors for depressive disorders (DD) change substantially over time, but the prognostic value of these changes remains unclear. Two basic types of dynamic effects are possible. The 'Risk Escalation hypothesis' posits that worsening of risk levels predicts DD onset above average level of risk factors. Alternatively, the 'Chronic Risk hypothesis' posits that the average level rather than change predicts first-onset DD. METHODS:We utilized data from the ADEPT project, a cohort of 496 girls (baseline age 13.5-15.5 years) from the community followed for 3 years. Participants underwent five waves of assessments for risk factors and diagnostic interviews for DD. For illustration purposes, we selected 16 well-established dynamic risk factors for adolescent depression, such as depressive and anxiety symptoms, personality traits, clinical traits, and social risk factors. We conducted Cox regression analyses with time-varying covariates to predict first DD onset. RESULTS:Consistently elevated risk factors (i.e. the mean of multiple waves), but not recent escalation, predicted first-onset DD, consistent with the Chronic Risk hypothesis. This hypothesis was supported across all 16 risk factors. CONCLUSIONS:Across a range of risk factors, girls who had first-onset DD generally did not experience a sharp increase in risk level shortly before the onset of disorder; rather, for years before onset, they exhibited elevated levels of risk. Our findings suggest that chronicity of risk should be a particular focus in screening high-risk populations to prevent the onset of DDs. In particular, regular monitoring of risk factors in school settings is highly informative.

Background: Depression in adolescence is associated with long-term adverse consequences. The aim of the present study is to identify target groups at increased risk of developing depression in early adolescence, such that prevention is associated with the largest health benefit at population-level for the least effort.Methods: The analyses were conducted on data of the first (age range 10-12) and fourth (age range 17-20) wave of a population-based cohort study (N = 1538). The Composite International Diagnostic Interview (CIDI) was used to assess onset of major depression in early adolescence. High-risk groups were identified using exposure rate, incidence rate and population attributable fraction.Results: Prevention of depression onset in early adolescence is best targeted at children with one of the following risk profiles: a high body mass index in combination with (1) maternal depression (2) female gender, and (3) parental emotional rejection. Limitations: Age of onset of depression was assessed retrospectively.Conclusions: Only a few risk indicators are needed to identify a relatively small group which accounts for a substantial percentage of the new cases of depression in early adolescence. (C) 2012 Elsevier B.V. All rights reserved.

Social skills (cooperation, assertion, and self-control) were assessed by teachers for a longitudinal cohort of (pre)adolescents, with measurements at average ages 11.1 (baseline) and 16.3 years (follow-up). Prospective associations with participants' self-reported use of cannabis, (age of) onset of cannabis use, and frequency of use at follow-up were examined using multinomial logistic regression analyses. Teacher-reported social skills predicted different aspects of cannabis use independent of better known factors such as presence of externalizing behavior and use of other substances. The direction of associations depended on the type of social skill. Good cooperation skills during early adolescence were associated with a reduced risk of lifetime cannabis use and a reduced risk of using cannabis on a regular basis. On the other hand, assertion at age 11 increased the risk of lifetime cannabis use and of using cannabis on an experimental basis.

Severe mental illnesses such as schizophrenia and mood disorders have a major impact on public health. Disease prevalence and phenotypic expression are the products of environment and gene interactions. However, our incomplete understanding of their aetiology and pathophysiology thwarts primary prevention and early diagnosis and limits the effective application of currently available treatments as well as the development of novel therapeutic approaches. Neuroimaging can provide detailed in vivo information about the biological mechanisms underpinning the relationship between genetic variation and clinical phenotypes or response to treatment. However, the biological complexity of severe mental illness results from unknown or unpredictable interactions between multiple genetic and environmental factors, many of which have only been partially identified. We propose that the use of epidemiological principles to neuroimaging research is a necessary next step in psychiatric research. Because of the complexity of mental disorders and the multiple risk factors involved only the use of large epidemiologically defined samples will allow us to study the broader spectrum of psychopathology, including sub-threshold presentation and explore pathophysiological processes and the functional impact of genetic and non-genetic factors on the onset and persistence of psychopathology.

Background Background In the past decades, the ethnic diversity of the population in the Netherlands has rapidly grown. At present, approximately 10% of all people in the Netherlands belong to immigrant families that originate from a very large variety of non-Western nations. Although it is often assumed that migration has a stress-inducing effect, leading to heightened levels of mental health problems in both immigrant children and their parents, research into this group of children is very scarce in Europe. In this paper, we want to report on the mental health of immigrant children originating from non-Western countries enrolled in a large cohort study in the Netherlands. Method A large sample of 11-year-old children in the Netherlands (n=2230) participated in the TRacking Adolescents’ Individual Lives Survey (TRAILS). Approximately 10% of these children (n=230) belong to immigrant families originating from non-Western countries. Mental health problems were assessed using self-report measures (Youth Self-Report), using parent-report measures (Child Behaviour Check List) and using teacher report (Teacher Checklist for Psychopathology). In this paper, we report on the mental health problems of these children from all three perspectives (child, parent, teacher). In analysing the impact of immigrant status, the effect of gender and of socio-economic inequality was taken into account. Results According to self-report measures, mean level of mental health problems in immigrant children is comparable to that in non-immigrant children. Immigrant parents report higher problem rates for their daughters, in particular for internalising problem behaviours, social problems and attention problems, but not for their sons. In contrast, teachers perceive higher levels of externalising problem behaviour, but lower levels of anxious/depressed problems, social problems and thought problems in immigrant children. This last effect is most strongly found with respect to boys: teachers perceive less withdrawn/depressed problems, social problems, thought problems and attention problems in immigrant boys. Conclusions Children from immigrant families do not appear to experience more problems than their non-immigrant peers. However, parents from immigrant families do report more problems in their daughters than non-immigrant parents, in contrast to teachers who perceive lower levels of internalising, social and thought problems in particular in boys, and higher levels of externalising problems in both immigrant boys and girls. In describing problem behaviour in immigrant children, the effect of diverging social contexts for and multiple perspectives on immigrant youth has to be taken into account.

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