The association between personality disorders with alcohol use and misuse: A population-based twin study. (1st May 2017)

• Record Type: Journal Article
• Authors: Long, E.C.; Aggen, S.H.; Neale, M.C.; Knudsen, G.P.; Krueger, R.F.; South, S.C.; Czajkowski, N.; Nesvåg, R.; Ystrom, E.; Torvik, F.A.; Kendler, K.S.; Gillespie, N.A.; Reichborn-Kjennerud, T.
• Is Part Of: Drug and alcohol dependence. Volume 174(2017)
• Page Start: 171
• Page End: 180
• Publication Date: 2017-05-01
• Subjects: Alcohol use -- Alcohol use disorder -- Personality disorders -- Twin research; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2017.01.022
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: The etiological overlap between Personality Disorders (PDs) and Alcohol Use/Alcohol Use Disorder (AU/AUD) is unclear. Borderline and antisocial PDs were the strongest predictors of AU/AUD. This effect remained consistent across time. Abstract: Background: A clearer understanding of the etiological overlap between DSM-IV personality disorders (PDs) and alcohol use (AU) and alcohol use disorder (AUD) is needed. To our knowledge, no study has modeled the association between all 10 DSM-IV PDs and lifetime AU and AUD. The aim of the present study is to identify which PDs are most strongly associated with the phenotypic, genetic, and environmental risks of lifetime AU and AUD, and to determine if these associations are stable across time. Methods: Participants were Norwegian twins assessed at two waves. At Wave 1, 2801 twins were assessed for all 10 DSM-IV PD criteria, lifetime AU, and DSM-IV AUD criteria. At Wave 2, six of the 10 PDs were again assessed along with AU and AUD among 2393 twins. Univariate and multiple logistic regressions were run. Significant predictors were further analyzed using bivariate twin Cholesky decompositions. Results: Borderline and antisocial PD criteria were the strongest predictors of AU and AUD across the two waves. Despite moderate phenotypic and genetic correlations, genetic variation in these PD criteria explained only 4% and 3% of the risks in AU, and 5% to 10% of the risks in AUD criteria, respectively. At Wave 2, these estimates increased to 8% and 23% for AU, and 17% and 33% for AUD. Conclusions: Among a large Norwegian twin sample, borderline and antisocial PD criteria were the strongest predictors of the phenotypic and genotypic liability to AU and AUD. This effect remained consistent across time.