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An Invariant Dimensional Liability Model of Gender Differences in Mental Disorder Prevalence: Evidence from a National Sample
Journal article   Peer reviewed

An Invariant Dimensional Liability Model of Gender Differences in Mental Disorder Prevalence: Evidence from a National Sample

Nicholas R Eaton, Katherine M Keyes, Robert F Krueger, Steve Balsis, Andrew E Skodol, Kristian E Markon, Bridget F Grant and Deborah S Hasin
Journal of abnormal psychology (1965), Vol.121(1), pp.282-288
02/2012
DOI: 10.1037/a0024780
PMCID: PMC3402021
PMID: 21842958
url
https://www.ncbi.nlm.nih.gov/pmc/articles/3402021View
Open Access

Abstract

Epidemiological studies of categorical mental disorders consistently report that gender differences exist in many disorder prevalence rates, and that disorders are often comorbid. Can a dimensional multivariate liability model be developed to clarify how gender impacts diverse, comorbid mental disorders? We pursued this possibility in the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC; N = 43,093). Gender differences in prevalence were systematic such that women showed higher rates of mood and anxiety disorders and men showed higher rates of antisocial and substance use disorders. We next investigated patterns of disorder comorbidity and found that a dimensional internalizing (mood and anxiety)-externalizing (antisocial and substance use) liability model fit the data well. This model was gender invariant, indicating that observed gender differences in prevalence rates originate from women and men's different average standings on latent internalizing and externalizing liability dimensions. As hypothesized, women showed a higher mean level of internalizing while men showed a higher mean level of externalizing. We discuss implications of these findings for understanding gender differences in psychopathology and for classification and intervention.
internalizing-externalizing comorbidity prevalence rates gender differences

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