Using a latent variable approach to inform gender and racial/ethnic differences in cocaine dependence: a National Drug Abuse Treatment Clinical Trials Network study.

Published

Journal Article

This study applies a latent variable approach to examine gender and racial/ethnic differences in cocaine dependence, to determine the presence of differential item functioning (DIF) or item-response bias to diagnostic questions of cocaine dependence, and to explore the effects of DIF on the predictor analysis of cocaine dependence. The analysis sample included 682 cocaine users enrolled in two national multisite studies of the National Drug Abuse Treatment Clinical Trials Network (CTN). Participants were recruited from 14 community-based substance abuse treatment programs associated with the CTN, including 6 methadone and 8 outpatient nonmethadone programs. Factor and multiple indicators-multiple causes (MIMIC) procedures evaluated the latent continuum of cocaine dependence and its correlates. MIMIC analysis showed that men exhibited lower odds of cocaine dependence than women (regression coefficient, beta = -0.34), controlling for the effects of DIF, years of cocaine use, addiction treatment history, comorbid drug dependence diagnoses, and treatment setting. There were no racial/ethnic differences in cocaine dependence; however, DIF by race/ethnicity was noted. Within the context of multiple community-based addiction treatment settings, women were more likely than men to exhibit cocaine dependence. Addiction treatment research needs to further evaluate gender-related differences in drug dependence in treatment entry and to investigate how these differences may affect study participation, retention, and treatment response to better serve this population.

Full Text

Duke Authors

Cited Authors

  • Wu, L-T; Pan, J-J; Blazer, DG; Tai, B; Stitzer, ML; Woody, GE

Published Date

  • June 2010

Published In

Volume / Issue

  • 38 Suppl 1 /

Start / End Page

  • S70 - S79

PubMed ID

  • 20307798

Pubmed Central ID

  • 20307798

Electronic International Standard Serial Number (EISSN)

  • 1873-6483

Digital Object Identifier (DOI)

  • 10.1016/j.jsat.2009.12.011

Language

  • eng

Conference Location

  • United States