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Objectives: The enormous societal and individual consequences of mental health disorders and detrimental health behaviours in the general population are of paramount concern. Many argue that ‘prevention is the best cure’, pushing for the implementation of early (preventive) interventions. Key questions regarding early interventions include which population segment to target for screenings and what information these screenings should focus on. In line with previous efforts, this study aimed to identify which population segment holds the majority (≥ 80 %) of different economically costly outcomes in society, and whether child abuse before the age of 16 years predicts being part of that population segment. Study design: Epidemiological cohort study. Methods: This study used the Netherlands Mental Health Survey and Incidence Study-2, a Dutch epidemiological cohort study including 6646 adults aged 18–64 years at baseline, spanning four timepoints from 2007 to 2018. Cumulative distributions were computed to identify high-cost population segments of economically costly outcomes in adulthood (i.e., mental and physical health [behaviours], unemployment and work absenteeism). Child abuse was examined as a potential predictor of these segments and the risk of multiple high-cost population segment membership was investigated by conducting Poisson regressions. Results: A 20 % population segment carried between 42 % and 100 % of economically costly outcomes. Being exposed to more child abuse predicted being in a high-cost population segment, albeit with small effect sizes. Being exposed to more child abuse also predicted belonging to multiple high-cost population segments across different economically costly outcomes. Conclusions: The study findings have implications for policy makers. Emphasis should be placed on prevention aimed at identifying potential members of multiple high-cost population segments.

Background: Childhood maltreatment is associated with depression and cardiometabolic disease in adulthood. However, the relationships with these two diseases have so far only been evaluated in different samples and with different methodology. Thus, it remains unknown how the effect sizes magnitudes for depression and cardiometabolic disease compare with each other and whether childhood maltreatment is especially associated with the co-occurrence (“comorbidity”) of depression and cardiometabolic disease. This pooled analysis examined the association of childhood maltreatment with depression, cardiometabolic disease, and their comorbidity in adulthood. Methods: We carried out an individual participant data meta-analysis on 13 international observational studies (N = 217,929). Childhood maltreatment comprised self-reports of physical, emotional, and/or sexual abuse before 18 years. Presence of depression was established with clinical interviews or validated symptom scales and presence of cardiometabolic disease with self-reported diagnoses. In included studies, binomial and multinomial logistic regressions estimated sociodemographic-adjusted associations of childhood maltreatment with depression, cardiometabolic disease, and their comorbidity. We then additionally adjusted these associations for lifestyle factors (smoking status, alcohol consumption, and physical activity). Finally, random-effects models were used to pool these estimates across studies and examined differences in associations across sex and maltreatment types. Results: Childhood maltreatment was associated with progressively higher odds of cardiometabolic disease without depression (OR [95% CI] = 1.27 [1.18; 1.37]), depression without cardiometabolic disease (OR [95% CI] = 2.68 [2.39; 3.00]), and comorbidity between both conditions (OR [95% CI] = 3.04 [2.51; 3.68]) in adulthood. Post hoc analyses showed that the association with comorbidity was stronger than with either disease alone, and the associ

PURPOSE: Limited longitudinal population-based research exists on the bidirectional association between loneliness and common mental disorders (CMDs). Using 3-year follow-up data, this study examined whether loneliness among adults increases the risk for onset and persistence of mild-moderate or severe CMD; and whether mild-moderate or severe CMD is a risk factor for onset and persistence of loneliness.METHODS: Data were used from the second ('baseline') and third (3-year follow-up) waves of the Netherlands Mental Health Survey and Incidence Study-2, a prospective study of a representative cohort of adults aged 18-64 years. Twelve-month CMDs and their severity were assessed with the Composite International Diagnostic Interview 3.0, and current loneliness using the De Jong Gierveld Loneliness Scale. Multivariate analyses were controlled for several potential confounders.RESULTS: Loneliness predicted onset of severe CMD at follow-up in adults without CMDs at baseline, and increased risk for persistent severe CMD at follow-up in those with CMD at baseline. Conversely, severe CMD predicted onset of loneliness at follow-up in non-lonely adults at baseline, but was not associated with persistent loneliness at follow-up in lonely adults at baseline. Observed associations remained significant after controlling for perceived social support at baseline, except for the relationship between loneliness and persistent severe CMD. No longitudinal relationships were observed between loneliness and mild-moderate CMD.CONCLUSIONS: Attention should be paid to loneliness, both in adults with and without CMD. Further research is needed to better understand the mechanisms underlying the observed associations between loneliness and CMDs to develop successful interventions.

Quality of life is often measured using questions about happiness. This method presumes that respondents are able to judge their life. Research suggest that this is typically the case, but this is not to say that everybody can. In that context one may doubt whether people with a mental disorder can judge their life adequately. Happiness can be rejected as a indicator for quality of life for people with mental disorders, because of affective and cognitive distortions. We therefore checked the validity of happiness and satisfaction measures in the context of mental disorders. Psychiatric diagnoses were determined at baseline and at 12 and 36 months follow-up in a representative sample (N = 7,076) of the Dutch population, using a full Composite International Diagnostic Interview. Respondents indicated how often they had felt happy during the past month and how satisfied they were with their lives in general. The measurements have a satisfactory concurrent, ecological and predictive validity for people with mental disorders. Though the level of happiness is lower among the people with mental disorders, conditions for happiness and contentment appear to be similar.