An examination of generalized anxiety disorder and dysthymic disorder by latent class analysis

D. Rhebergen, I.M. van der Steenstraten, M. Sunderland, R. de Graaf, M. ten Have, F. Lamers, B.W.J.H. Penninx, G. Andrews

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Background The nosological status of generalized anxiety disorder (GAD) versus dysthymic disorder (DD) has been questioned. The aim of this study was to examine qualitative differences within (co-morbid) GAD and DD symptomatology. Method Latent class analysis was applied to anxious and depressive symptomatology of respondents from three population-based studies (2007 Australian National Survey of Mental Health and Wellbeing; National Comorbidity Survey Replication; and Netherlands Mental Health Survey and Incidence Study-2; together known as the Triple study) and respondents from a multi-site naturalistic cohort [Netherlands Study of Depression and Anxiety (NESDA)]. Sociodemographics and clinical characteristics of each class were examined. Results A three-class (Triple study) and two-class (NESDA) model best fitted the data, reflecting mainly different levels of severity of symptoms. In the Triple study, no division into a predominantly GAD or DD co-morbidity subtype emerged. Likewise, in spite of the presence of pure GAD and DD cases in the NESDA sample, latent class analysis did not identify specific anxiety or depressive profiles in the NESDA study. Next, sociodemographics and clinical characteristics of each class were examined. Classes only differed in levels of severity. Conclusions The absence of qualitative differences in anxious or depressive symptomatology in empirically derived classes questions the differentiation between GAD and DD. Copyright © Cambridge University Press 2013.
Original languageEnglish
Pages (from-to)1701-1712
JournalPsychological Medicine
Volume44
Issue number8
DOIs
Publication statusPublished - 2014

Fingerprint Dive into the research topics of 'An examination of generalized anxiety disorder and dysthymic disorder by latent class analysis'. Together they form a unique fingerprint.

Cite this