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Social Psychiatry and Psychiatric Epidemiology
Published in: Social Psychiatry and Psychiatric Epidemiology 6/2015

01-06-2015 | Editorial

Latent variable and network models of comorbidity: toward an empirically derived nosology

Author: Nicholas R. Eaton

Published in: Social Psychiatry and Psychiatric Epidemiology | Issue 6/2015

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Excerpt

Although current classification systems, such as the diagnostic and statistical manual of mental disorders (DSM-5) [1], define mental disorders as putatively independent phenomena, comorbidity is the rule rather than the exception. Indeed, nearly half of individuals meeting criteria for one mental disorder will meet criteria for at least one more [2]. Through bivariate analyses, we can note that disorders such as major depressive disorder (MDD) and generalized anxiety disorder (GAD) overlap more frequently than expected by chance alone [3‐5]. Based on their prevalence rates, data from one nationally representative sample indicated four individuals per 1,000 should have comorbid MDD and GAD; however, 17 such cases—more than 400 % of the expected frequency—were observed [5]. …
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Metadata
Title
Latent variable and network models of comorbidity: toward an empirically derived nosology
Author
Nicholas R. Eaton
Publication date
01-06-2015
Publisher
Springer Berlin Heidelberg
Published in
Social Psychiatry and Psychiatric Epidemiology / Issue 6/2015
Print ISSN: 0933-7954
Electronic ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-015-1012-7

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