Jennifer L Walsh1,2,3,4, Lance S Weinhardt5, Seth C Kalichman6, Michael P Carey7,8,9. 1. Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, USA. jwalsh@mcw.edu. 2. Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA. jwalsh@mcw.edu. 3. Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI, USA. jwalsh@mcw.edu. 4. Center for AIDS Intervention Research, Department of Psychiatry and Behavioral Medicine, The Medical College of Wisconsin, 2071 N. Summit Ave, Milwaukee, WI, 53202, USA. jwalsh@mcw.edu. 5. Department of Community and Behavioral Health Promotion, Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA. 6. Department of Psychology, University of Connecticut, Storrs, CT, USA. 7. Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, USA. 8. Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI, USA. 9. Department of Behavioral and Social Sciences, School of Public Health, Brown University, Providence, RI, USA.
Abstract
BACKGROUND: Patients in sexually transmitted infection (STI) clinics report high levels of alcohol use, which are associated with risky sexual behavior. However, no studies have examined how changes in alcohol use relate to changes in sexual risk behavior. PURPOSE: We used parallel process latent growth modeling to explore how changes in alcohol use related to changes in sexual behavior across four samples of clinic patients. METHODS: Patients participating in HIV prevention trials from urban clinics in the Northeastern and Midwestern USA (N = 3761, 59 % male, 72 % Black) completed measures at 3-month intervals over 9-12 months. Integrative data analysis was used to create composite measures of alcohol use across samples. Sexual risk measures were counts of partners and unprotected sex acts. Parallel process models tested whether alcohol use changes were correlated with changes in the number of partners and unprotected sex. RESULTS: Growth models with good fit showed decreases that slowed over time in sexual risk behaviors and alcohol use. Parallel process models showed positive correlations between levels of (rs = 0.17-0.40, ps < 0.001) and changes in (rs = 0.21-0.80, ps < 0.05) alcohol use and number of sexual partners across studies. There were strong associations between levels of (rs = 0.25-0.43, ps < 0.001) and changes in (rs = 0.24-0.57, ps < 0.01) alcohol use and unprotected sex in one study recruiting hazardous drinkers. CONCLUSIONS: Across four samples of clinic patients, reductions in alcohol use were associated with reductions in the number of sexual partners. HIV prevention interventions may be strengthened by addressing alcohol use.
BACKGROUND:Patients in sexually transmitted infection (STI) clinics report high levels of alcohol use, which are associated with risky sexual behavior. However, no studies have examined how changes in alcohol use relate to changes in sexual risk behavior. PURPOSE: We used parallel process latent growth modeling to explore how changes in alcohol use related to changes in sexual behavior across four samples of clinic patients. METHODS:Patients participating in HIV prevention trials from urban clinics in the Northeastern and Midwestern USA (N = 3761, 59 % male, 72 % Black) completed measures at 3-month intervals over 9-12 months. Integrative data analysis was used to create composite measures of alcohol use across samples. Sexual risk measures were counts of partners and unprotected sex acts. Parallel process models tested whether alcohol use changes were correlated with changes in the number of partners and unprotected sex. RESULTS: Growth models with good fit showed decreases that slowed over time in sexual risk behaviors and alcohol use. Parallel process models showed positive correlations between levels of (rs = 0.17-0.40, ps < 0.001) and changes in (rs = 0.21-0.80, ps < 0.05) alcohol use and number of sexual partners across studies. There were strong associations between levels of (rs = 0.25-0.43, ps < 0.001) and changes in (rs = 0.24-0.57, ps < 0.01) alcohol use and unprotected sex in one study recruiting hazardous drinkers. CONCLUSIONS: Across four samples of clinic patients, reductions in alcohol use were associated with reductions in the number of sexual partners. HIV prevention interventions may be strengthened by addressing alcohol use.
Entities:
Keywords:
Alcohol use; Integrative data analysis; Sexual behavior; Sexually transmitted infections
Authors: Eric S Kruger; Kelsey N Serier; Rory A Pfund; James R McKay; Katie Witkiewitz Journal: Alcohol Clin Exp Res Date: 2021-09-30 Impact factor: 3.455