Dennis Raven
University Medical Center Groningen
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Publication
Featured researches published by Dennis Raven.
International Journal of Epidemiology | 2015
Albertine J. Oldehinkel; Judith Rosmalen; Jan K Buitelaar; Hans W. Hoek; Johan Ormel; Dennis Raven; Sijmen A. Reijneveld; René Veenstra; Frank C. Verhulst; Wilma Vollebergh; Catharina A. Hartman
TRAILS consists of a population cohort (N = 2230) and a clinical cohort (N = 543), both of which were followed from about age 11 years onwards. To date, the population cohort has been assessed five times over a period of 11 years, with retention rates ranging between 80% and 96%. The clinical cohort has been assessed four times over a period of 8 years, with retention rates ranging between 77% and 85%. Since the IJE published a cohort profile on the TRAILS in 2008, the participants have matured from adolescents into young adults. The focus shifted from parents and school to entry into the labour market and family formation, including offspring. Furthermore, psychiatric diagnostic interviews were administered, the database was linked to a Psychiatric Case Registry, and the availability of genome-wide SNP variations opened the door to genome-wide association studies regarding a wide range of (endo)phenotypes. With some delay, TRAILS data are available to researchers outside the TRAILS consortium without costs; access can be obtained by submitting a publication proposal (see www.trails.nl).
BMC Medical Research Methodology | 2012
Esther Nederhof; Frederike Jörg; Dennis Raven; René Veenstra; Frank C. Verhulst; Johan Ormel; Albertine J. Oldehinkel
BackgroundExtensive recruitment effort at baseline increases representativeness of study populations by decreasing non-response and associated bias. First, it is not known to what extent increased attrition occurs during subsequent measurement waves among subjects who were hard-to-recruit at baseline and what characteristics the hard-to-recruit dropouts have compared to the hard-to-recruit retainers. Second, it is unknown whether characteristics of hard-to-recruit responders in a prospective population based cohort study are similar across age group and survey method.MethodsFirst, we compared first wave (T1) easy-to-recruit with hard-to-recruit responders of the TRacking Adolescents’ Individual Lives Survey (TRAILS), a prospective population based cohort study of Dutch (pre)adolescents (at first wave: n = 2230, mean age = 11.09 (SD 0.56), 50.8% girls), with regard to response rates at subsequent measurement waves. Second, easy-to-recruit and hard-to-recruit participants at the fourth TRAILS measurement wave (n = 1881, mean age = 19.1 (SD 0.60), 52.3% girls) were compared with fourth wave non-responders and earlier stage drop-outs on family composition, socioeconomic position (SEP), intelligence (IQ), education, sociometric status, substance use, and psychopathology.ResultsFirst, over 60% of the hard-to-recruit responders at the first wave were retained in the sample eight years later at the fourth measurement wave. Hard-to-recruit dropouts did not differ from hard-to-recruit retainers. Second, extensive recruitment efforts for the web based survey convinced a population of nineteen year olds with similar characteristics as the hard-to-recruit eleven year olds that were persuaded to participate in a school-based survey. Some characteristics associated with being hard-to-recruit (as compared to being easy-to-recruit) were more pronounced among non-responders, resembling the baseline situation (De Winter et al.2005).ConclusionsFirst, extensive recruitment effort at the first assessment wave of a prospective population based cohort study has long lasting positive effects. Second, characteristics of hard-to-recruit responders are largely consistent across age groups and survey methods.
Psychological Medicine | 2017
Johan Ormel; Anoek M. Oerlemans; Dennis Raven; Odilia M. Laceulle; Catharina A. Hartman; René Veenstra; Frank C. Verhulst; Wilma Vollebergh; Judith Rosmalen; Sijmen A. Reijneveld; Albertine J. Oldehinkel
BACKGROUND Various sources indicate that mental disorders are the leading contributor to the burden of disease among youth. An important determinant of functioning is current mental health status. This study investigated whether psychiatric history has additional predictive power when predicting individual differences in functional outcomes. METHOD We used data from the Dutch TRAILS study in which 1778 youths were followed from pre-adolescence into young adulthood (retention 80%). Of those, 1584 youths were successfully interviewed, at age 19, using the World Health Organization Composite International Diagnostic Interview (CIDI 3.0) to assess current and past CIDI-DSM-IV mental disorders. Four outcome domains were assessed at the same time: economic (e.g. academic achievement, social benefits, financial difficulties), social (early motherhood, interpersonal conflicts, antisocial behavior), psychological (e.g. suicidality, subjective well-being, loneliness), and health behavior (e.g. smoking, problematic alcohol, cannabis use). RESULTS Out of the 19 outcomes, 14 were predicted by both current and past disorders, three only by past disorders (receiving social benefits, psychiatric hospitalization, adolescent motherhood), and two only by current disorder (absenteeism, obesity). Which type of disorders was most important depended on the outcome. Adjusted for current disorder, past internalizing disorders predicted in particular psychological outcomes while externalizing disorders predicted in particular health behavior outcomes. Economic and social outcomes were predicted by a history of co-morbidity of internalizing and externalizing disorder. The risk of problematic cannabis use and alcohol consumption dropped with a history of internalizing disorder. CONCLUSION To understand current functioning, it is necessary to examine both current and past psychiatric status.
Journal of the American Academy of Child and Adolescent Psychiatry | 2012
Johan Ormel; Albertine J. Oldehinkel; Jelle J. Sijtsema; Floor V. A. van Oort; Dennis Raven; René Veenstra; Wilma Vollebergh; Frank C. Verhulst
Archive | 1987
Henk J. M. Bos; C. Kers; Frans Oort; Dennis Raven
Psychological Medicine | 2015
Johan Ormel; Dennis Raven; F. V. A. van Oort; Catharina A. Hartman; Sijmen A. Reijneveld; René Veenstra; Wilma Vollebergh; Jan K. Buitelaar; Frank C. Verhulst; Albertine J. Oldehinkel
European Sociological Review | 2013
Rudi Wielers; Dennis Raven
Research in Autism Spectrum Disorders | 2016
Eh Horwitz; Robert A. Schoevers; Cornelis Ketelaars; Cornelis C. Kan; A.M.D.N. van Lammeren; Ybe Meesters; A.A. Spek; S. Wouters; J.P. Teunisse; L. Cuppen; A.A.J. Bartels; E. Schuringa; H. Moorlag; Dennis Raven; Durk Wiersma; R.B. Minderaa; Catharina A. Hartman
Epidemiology and Psychiatric Sciences | 2017
Dennis Raven; Frederike Jörg; Ellen Visser; Albertine J. Oldehinkel; Robert A. Schoevers
Tweede Nederlandse Workshop European Social Survey | 2009
Melinda Mills; Rudi Wielers; Dennis Raven