TY - JOUR
T1 - Using a latent variable approach to inform gender and racial/ethnic differences in cocaine dependence
T2 - A National Drug Abuse Treatment Clinical Trials Network study
AU - Wu, Li Tzy
AU - Pan, Jeng Jong
AU - Blazer, Dan G.
AU - Tai, Betty
AU - Stitzer, Maxine L.
AU - Woody, George E.
N1 - Funding Information:
This research was supported mainly by the U.S. National Institute on Drug Abuse of the National Institutes of Health (Contract HHSN271200522071C ; PI, Dan G. Blazer) and in part by Grants R01DA019623 , R01DA019901 , and R21DA027503 (PI, Li-Tzy Wu). Maxine L. Stitzer is the principal investigator of the two CTN trials (5U10DA013034). George E. Woody was supported by Grants K05DA017009 and U10DA013043 (PI, George E. Woody). The sponsoring agency had no further role in the study design and analysis, the writing of the report, or the decision to submit the paper for publication. The opinions expressed in this article are solely those of the authors. We thank Amanda McMillan for her editorial assistance.
PY - 2010/6
Y1 - 2010/6
N2 - 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, β = -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.
AB - 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, β = -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.
KW - CTN Data Share
KW - Clinical Trials Network
KW - Cocaine dependence
KW - Differential item functioning
KW - Multiple indicators-multiple causes model
UR - http://www.scopus.com/inward/record.url?scp=77950192316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950192316&partnerID=8YFLogxK
U2 - 10.1016/j.jsat.2009.12.011
DO - 10.1016/j.jsat.2009.12.011
M3 - Article
C2 - 20307798
AN - SCOPUS:77950192316
SN - 0740-5472
VL - 38
SP - S70-S79
JO - Journal of Substance Abuse Treatment
JF - Journal of Substance Abuse Treatment
IS - SUPPL. 1
ER -