An Invariant Dimensional Liability Model of Gender Differences in Mental Disorder Prevalence: Evidence from a National Sample
By N. Eaton, Katherine M. Keyes, Robert Krueger, S. Balsis, A. Skodol, Kristian E. Markon, B. Grant, D. Hasin. Journal of Abnormal Psychology, 2011
607 citations recorded by the source corpus.
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.
Subfields: Clinical Psychology, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/c8ba13f9cdbb250969f4d832ddc407002df53413
Citations in the corpus
- Postpartum depression: current status and future directions. (2013, unknown): “More recently, the National Epidemiologic Survey on Alcohol and Related Conditions yielded a 12-month period prevalence of DSM-IV major depression of 10.1% for women 18 years of age and older (Eaton et al. 2012).”
- Social Identity, Self-Esteem, and Mental Health in Autism (2017, unknown): “We measured and controlled for three variables that are commonly associated with differences in mental health outcomes in the general population: sex (Eaton et al., 2012), sexuality (Semlyen, King, Varney & Hagger-Johnson, 2016), and education (Araya, Lewis, Rojas & Fristch, 2003).”