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- Bolhuis, Koen, et al.
(author)
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Disentangling Heterogeneity of Childhood Disruptive Behavior Problems Into Dimensions and Subgroups
- 2017
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In: Journal of the American Academy of Child and Adolescent Psychiatry. - : Elsevier. - 0890-8567 .- 1527-5418. ; 56:8, s. 678-686
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Journal article (peer-reviewed)abstract
- Objective: Irritable and oppositional behaviors are increasingly considered as distinct dimensions of oppositional defiant disorder. However, few studies have explored this multidimensionality across the broader spectrum of disruptive behavior problems (DBPs). This study examined the presence of dimensions and distinct subgroups of childhood DBPs, and the cross-sectional and longitudinal associations between these dimensions.Method: Using factor mixture models (FMMs), the presence of dimensions and subgroups of DBPs was assessed in the Generation R Study at ages 6 (n = 6,209) and 10 (n = 4,724) years. Replications were performed in two population-based cohorts (Netherlands Twin Registry, n = 4,402, and Swedish Twin Study of Child and Adolescent Development, n = 1,089) and a clinical sample (n = 1,933). We used cross-lagged modeling in the Generation R Study to assess cross-sectional and longitudinal associations between dimensions. DBPs were assessed using mother-reported responses to the Child Behavior Checklist.Results: Empirically obtained dimensions of DBPs were oppositional behavior (age 6 years), disobedient behavior, rule-breaking behavior (age 10 years), physical aggression, and irritability (both ages). FMMs suggested that one-class solutions had the best model fit for all dimensions in all three population-based cohorts. Similar results were obtained in the clinical sample. All three dimensions, including irritability, predicted subsequent physical aggression (range, 0.08-0.16).Conclusion: This study showed that childhood DBPs should be regarded as a multidimensional phenotype rather than comprising distinct subgroups. Incorporating multidimensionality will improve diagnostic accuracy and refine treatment. Future studies need to address the biological validity of the DBP dimensions observed in this study; herein lies an important opportunity for neuro-imaging and genetic measures.
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| 2. |
- Rietveld, CA, et al.
(author)
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Molecular genetics and subjective well-being
- 2013
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In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 1091-6490 .- 0027-8424. ; 110:24, s. 9692-9697
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Journal article (peer-reviewed)abstract
- Subjective well-being (SWB) is a major topic of research across the social sciences. Twin and family studies have found that genetic factors may account for as much as 30–40% of the variance in SWB. Here, we study genetic contributions to SWB in a pooled sample of ≈11,500 unrelated, comprehensively-genotyped Swedish and Dutch individuals. We apply a recently developed method to estimate “common narrow heritability”: the fraction of variance in SWB that can be explained by the cumulative additive effects of genetic polymorphisms that are common in the population. Our estimates are 5–10% for single-question survey measures of SWB, and 12–18% after correction for measurement error in the SWB measures. Our results suggest guarded optimism about the prospects of using genetic data in SWB research because, although the common narrow heritability is not large, the polymorphisms that contribute to it could feasibly be discovered with a sufficiently large sample of individuals.
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| 3. |
- Bos, M J, et al.
(author)
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Depressive symptoms and risk of stroke: the Rotterdam Study.
- 2008
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In: Journal of neurology, neurosurgery, and psychiatry. - : BMJ. - 1468-330X .- 0022-3050. ; 79:9, s. 997-1001
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Journal article (peer-reviewed)abstract
- BACKGROUND: Previous studies that have assessed whether the presence of depressive symptoms predisposes to stroke in the general elderly population have been contradictory. Moreover, they did not distinguish between men and women and did not perform psychiatric workups in those with depressive symptoms. This study examines the association between depressive symptoms, depressive disorder and the risk of stroke in the general population. METHODS: This prospective population based cohort study included 4424 participants from the third Rotterdam Study Survey (1997-1999) who, at that time, were > or =61 years of age and free from stroke. Depressive symptoms were assessed using the Centre for Epidemiological Studies Depression Scale (CESD) and considered present if the CESD score was > or =16. Participants with depressive symptoms had a diagnostic interview for depressive disorder. Follow-up was complete until 1 January 2005. Data were analysed using Cox proportional hazards models with adjustment for relevant confounders. RESULTS: Men with depressive symptoms (n = 73) were at increased risk of stroke (adjusted hazard ratio (HR) 2.17; 95% CI 1.11 to 4.23) and ischaemic stroke (adjusted HR 3.21; 95% CI 1.62 to 6.38). These associations were at least partly attributable to men who reported depressive symptoms but who did not fulfil Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV diagnostic criteria for depressive disorder (n = 32): they had a very high risk of stroke (adjusted HR 2.70; 95% CI 1.15 to 6.33) and ischaemic stroke (adjusted HR 4.01; 95% CI 1.68 to 9.57). In women there was no association between presence of depressive symptoms and risk of stroke. CONCLUSIONS: Presence of depressive symptoms is a strong risk factor for stroke in men but not in women.
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