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Social functioning in early psychosis: are all the domains predicted by the same variables?
Article first published online: 13 JAN 2012
DOI: 10.1111/j.1751-7893.2011.00337.x
© 2012 Blackwell Publishing Asia Pty Ltd
Additional Information
How to Cite
Bourdeau, G., Masse, M. and Lecomte, T. (2012), Social functioning in early psychosis: are all the domains predicted by the same variables?. Early Intervention in Psychiatry, 6: 317–321. doi: 10.1111/j.1751-7893.2011.00337.x
Publication History
- Issue published online: 23 JUL 2012
- Article first published online: 13 JAN 2012
- Received 24 August 2011; accepted 2 December 2011
- Abstract
- Article
- References
- Cited By
Keywords:
- activities of daily living;
- early intervention;
- occupational status;
- psychotic disorder;
- social interaction
Abstract
Aim: The study aims to determine the predictive value of negative symptoms, depression, short-term verbal learning and gender on three areas of social functioning – social life, vocational functioning and independent living skills – in a sample of 88 individuals with early psychosis.
Methods: Participants were recruited from Early Psychosis Intervention programmes and community mental health clinics in British Columbia, Canada, and completed the following measures: Client's Assessment of Strengths, Interests, and Goals, Brief Psychiatric Rating Scale, Beck Depression Inventory and California Verbal Learning Task.
Results: Multiple linear regressions revealed that: more negative symptoms and higher depression predicted a less active social life; more negative symptoms and poorer short-term verbal learning ability predicted lower vocational functioning; and more negative symptoms and male gender predicted lower independent living skills.
Conclusion: Results suggest that negative symptoms are predictive of all three areas of functioning but that specific variables add significant unique variance to individual areas of social functioning. Although a global social functioning score can be considered useful, greater precision can be gained by the use of domain-specific measures.