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Demographic and clinical correlates of comorbid substance use disorders in psychosis: multivariate analyses from an epidemiological sample

Overview of attention for article published in Schizophrenia Research, February 2004
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Title
Demographic and clinical correlates of comorbid substance use disorders in psychosis: multivariate analyses from an epidemiological sample
Published in
Schizophrenia Research, February 2004
DOI 10.1016/s0920-9964(03)00130-0
Pubmed ID
Authors

David J. Kavanagh, Geoffrey Waghorn, Linda Jenner, David C. Chant, Vaughan Carr, Mandy Evans, Helen Herrman, Assen Jablensky, John J. McGrath

Abstract

While there has been substantial research examining the correlates of comorbid substance abuse in psychotic disorders, it has been difficult to tease apart the relative importance of individual variables. Multivariate analyses are required, in which the relative contributions of risk factors to specific forms of substance misuse are examined, while taking into account the effects of other important correlates. This study used multivariate correlates of several forms of comorbid substance misuse in a large epidemiological sample of 852 Australians with DSM-III-R-diagnosed psychoses. Multiple substance use was common and equally prevalent in nonaffective and affective psychoses. The most consistent correlate across the substance use disorders was male sex. Younger age groups were more likely to report the use of illegal drugs, while alcohol misuse was not associated with age. Side effects secondary to medication were associated with the misuse of cannabis and multiple substances, but not alcohol. Lower educational attainment was associated with cannabis misuse but not other forms of substance abuse. The profile of substance misuse in psychosis shows clinical and demographic gradients that can inform treatment and preventive research.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 104 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 15%
Researcher 13 12%
Student > Master 13 12%
Student > Bachelor 13 12%
Student > Doctoral Student 8 8%
Other 21 20%
Unknown 21 20%
Readers by discipline Count As %
Psychology 33 31%
Medicine and Dentistry 27 26%
Agricultural and Biological Sciences 5 5%
Social Sciences 4 4%
Nursing and Health Professions 3 3%
Other 6 6%
Unknown 27 26%