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Cited by 213

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Factors predicting the clinical course of generalised anxiety disorder

Open access
Yonkers, Kimberly A., Dyck, Ingrid R., Warshaw, Meredith, Keller, Martin B.·2000·British Journal of Psychiatry

Abstract

Background: Cross-sectional data show that generalised anxiety disorder (GAD) is a chronic condition with episodes lasting much longer than the six-month minimum required by DSM–III–R and DSM–IV. Although GAD is chronic, little is known about factors influencing illness duration. Aims: To investigate variables that influence the clinical course of GAD. Method: A total of 167 patients with GAD participated in the Harvard–Brown Anxiety Research Program. Patients were assessed at intake and re-examined at six- to twelve-month intervals for five years. Kaplan–Meier curves were constructed to assess the likelihood of remission. Regression analysis was used to investigate factors predicting full or partial remission. Results: The rate of remission was 0.38 after five years. Diminished likelihood of remission was associated with low overall life satisfaction, poor spousal or family relationships, a concurrent cluster B or C personality disorder and a low global assessment score. Conclusions: Full or partial remissions were less likely to occur in patients with poor relationships and personality disorders. These patients should be given more intensive and possibly multi-modal therapy.

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Metadata

Authors
Yonkers, K. A., Dyck, I. R., Warshaw, M., & Keller, M. B.
Venue
British Journal of Psychiatry
Published
2000-06
Volume
176
Issue
6
Pages
544-549
ISSN
  • 0007-1250 (ISSN-L)
  • 1472-1465
OpenAlex
W2122910838
Cited by
213
References
3
FWCI
11.09
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Factors predicting the clinical course of generalised anxiety disorder. https://app.cochat.ai/papers/10.1192/bjp.176.6.544
The paper
Yonkers, K. A., Dyck, I. R., Warshaw, M., & Keller, M. B. (2000). Factors predicting the clinical course of generalised anxiety disorder. British Journal of Psychiatry. https://doi.org/10.1192/bjp.176.6.544

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.