Sociodemographic and @entity146 in the Netherlands Study of @entity308 and XXXX (NESDA).

@entity1 @entity308 @entity146 @entity6661 @entity148
BACKGROUND: Although @entity6661 is inevitable in longitudinal epidemiological studies, @entity146 studies are thought to be especially sensitive to @entity6661 . This study aimed to evaluate the sociodemographic and @entity146 at 2-year follow-up in the Netherlands Study of @entity308 and @entity148 . METHODS: Logistic regression was used to examine sociodemographic and @entity146 and the influence of clinical @entity146 characteristics on @entity6661 . In addition, differences in determinants between 3 types of @entity6661 (refusal, noncontact, and not able to participate) were evaluated. RESULTS: The @entity6661 rate at the 2-year follow-up assessment was 12.9% (385/2981), representing 6 deceased @entity1 , 250 refusers, 51 noncontacts, and 78 @entity1 unable to participate because of health reasons. Determinants of @entity6661 were younger age, less years of education, not being of North European descent, being recruited in Amsterdam, no previous participation in research, and having major @entity308 . Only the effects of age, sampling site, and previous participation in research differed between types of @entity6661 . Furthermore, comorbid depressive and @entity148 and higher symptom severity were associated with @entity6661 . CONCLUSIONS: In contrast to the view that @entity146 epidemiological research is more prone to high @entity6661 rates, this study revealed a relatively low @entity6661 rate. Furthermore, both sociodemographic and @entity146 variables were independent determinants of @entity6661 . Oversampling of subgroups that are at higher risk of dropout may be advisable for future @entity146 cohort studies.
