Impact of Behavioral Drug Abuse Treatment on Sexual Risk Behaviors: An Integrative Data Analysis of Eight Trials Conducted Within the National Drug Abuse Treatment Clinical Trials Network

• Type of Material: Article
• Authors: Jennifer L. Brown, University of Cincinnati; Michael D. Eriksen, University of Cincinnati; Nichole K. Gause, University of Cincinnati; Gene H. Brody, Emory University; Jessica Sales, Emory University
• Language: English
• Date: 2018-08-01
• Publisher: Springer Verlag (Germany)
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2018, Society for Prevention Research.
• Final Published Version (URL): http://dx.doi.org/10.1007/s11121-018-0913-6
• Title of Journal or Parent Work: Prevention Science
• ISSN: 1389-4986
• Volume: 19
• Issue: 6
• Start Page: 761
• End Page: 771
• Grant/Funding Information: This research was supported by R03DA0377860 from the National Institute on Drug Abuse to Jennifer L. Brown.
• Keywords: INCENTIVES; Public, Environmental & Occupational Health; IMPULSIVITY; Life Sciences & Biomedicine; Behavioral drug treatment; TREATMENT PROGRAMS; ADULTHOOD; Sexual risk behaviors; HIV; RANDOMIZED-TRIAL; PREDICTORS; SUBSTANCE USERS; Science & Technology; ASSOCIATIONS; MOTIVATIONAL ENHANCEMENT THERAPY; Integrative data analysis
• Research Categories: Health Sciences, Public Health; Psychology, Behavioral

Abstract

The extent to which behavioral drug abuse treatments affect sexual risk behaviors is largely unknown. This study examined the impact of behavioral drug abuse treatments on sexual risk behaviors using an integrative data analysis approach across eight trials conducted within the National Drug Abuse Treatment Clinical Trials Network (CTN). Participants (N = 1305) from eight randomized controlled trials who were sexually active at baseline were included in the pooled dataset; 48.7% were female, 64.1% self-identified as a racial/ethnic minority, with M (SD) age of 34.9 (9.6). Longitudinal logistic regression estimated the probability of risky sexual behavior (i.e., inconsistent condom use and/or > 1 sexual partner in past 30 days) post-intervention with an indicator variable (1 for post-intervention), study condition (control, intervention), and their interaction as predictors; the analysis employed random effects for each trial and included relevant control variables. Time-varying differences in effects based on weeks post-intervention were incorporated using interacted linear and quadratic terms with condition status. Approximately 84.2% reported risky sexual behaviors at baseline. The control and intervention conditions were 18.5 and 17.3 percentage points less likely to report risky sexual behavior post-intervention, respectively. Results suggest decreasing rates of risky sex engagement until 8 weeks (control) or 9 weeks (intervention) post-intervention; risky sexual behavior subsequently increased. Behavioral CTN trial participation was associated with decreased sexual risk behaviors in both the intervention and control trial conditions. Participation in behavioral substance use treatment may result in secondary benefits of sexual risk behavior reductions.