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Prediction of 6-yr symptom course trajectories of anxiety disorders by diagnostic, clinical and psychological variables.

Abstract：

:This study aimed to identify course trajectories of anxiety disorder using a data-driven method and to determine the incremental predictive value of clinical and psychological variables over and above diagnostic categories. 703 patients with DSM-IV panic disorder with or without agoraphobia, agoraphobia, social phobia, or generalized anxiety disorder were selected from a prospective cohort study. Latent Growth Mixture Modeling was conducted, based on symptoms of anxiety and avoidance as assessed with the Life Chart Interview covering a 6-year time period. In 44% of the participants symptoms of anxiety and avoidance improved, in 24% remained stable, in 25% slightly increased, and in 7% severely increased. Identified course trajectories were predicted by baseline DSM-IV anxiety categories, clinical variables (i.e., severity and duration and level of disability) and psychological predictors (i.e., neuroticism, extraversion, anxiety sensitivity, worry, and rumination). Clinical variables better predicted unfavorable course trajectories than psychological predictors, over and above diagnostic categories.

journal_name

J Anxiety Disord

journal_title

Journal of anxiety disorders

authors

Spinhoven P,Batelaan N,Rhebergen D,van Balkom A,Schoevers R,Penninx BW

doi

10.1016/j.janxdis.2016.10.011

subject

Has Abstract

pub_date

2016-12-01 00:00:00

pages

92-101

eissn

0887-6185

issn

1873-7897

pii

S0887-6185(16)30123-2

journal_volume

44

pub_type

杂志文章

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