Using Integrative Data Analysis to Examine Changes in Alcohol Use and Changes in Sexual Risk Behavior Across Four Samples of STI Clinic Patients

The Role of Alcohol-Related Behavioral Risk in the Design of HIV Prevention Interventions in the Era of Antiretrovirals: Alcohol Challenge Studies and Research Agenda

HIV/AIDS remains a significant health threat and alcohol is a robust contributing factor. After 25 years of alcohol challenge studies investigating alcohol-related behavioral risk (ARBR), much has been learned delineating how drinking influences sexual transmission. We examine this research and consider its relevance for interventions in the era of antiretrovirals. We consider prototypic alcohol challenge methods, illustrative findings, and prevention/intervention implications, noting three perspectives: (a) scale up/extend existing interventions, including identifying under-targeted risk groups and intersecting with PrEP/PEP interventions; (b) modify existing interventions by cultivating psychoeducational content related to alcohol expectancies, alcohol myopia, sexual arousal, risk perception, sexual abdication, and condom use resistance; and (c) innovate new interventions through Science of Behavior Change approaches and repurposing ARBR paradigms. Finally, we suggest research directions concluding that until HIV incidence diminishes significantly, psychosocial interventions addressing the nexus of alcohol use, sexual transmission, and adherence to biomedical protocols will be an important priority.

Integrative data analysis of self-efficacy in 4 clinical trials for alcohol use disorder

BACKGROUND

Self-efficacy has been proposed as a key predictor of alcohol treatment outcomes and a potential mechanism of success in achieving abstinence or drinking reductions following alcohol treatment. Integrative data analysis, where data from multiple studies are combined for analyses, can be used to synthesize analyses across multiple alcohol treatment trials by creating a commensurate measure and controlling for differential item functioning (DIF) to determine whether alcohol treatments improve self-efficacy.

METHOD

The current study used moderated nonlinear factor analysis (MNLFA) to examine the effect of treatment on self-efficacy across four different treatment studies (N = 3720; 72.5% male, 68.4% non-Hispanic white). Self-efficacy was measured using the Alcohol Abstinence Self-Efficacy Scale (AASE) in the COMBINE Study (n = 1383) and Project MATCH (n = 1726), and the Drug Taking Confidence Questionnaire (DTCQ) in two studies of Telephone Continuing Care (TEL Study 1: n = 303; TEL Study 2: n = 212). DIF was examined across time, study, treatment condition, marital status, age, and sex.

RESULTS

We identified 12 items from the AASE and DTCQ to create a commensurate measure of self-efficacy using MNLFA. All active treatments, including cognitive-behavioral treatment, a combined behavioral intervention, medication management, motivation enhancement treatment, telephone continuing care, twelve-step facilitation, and relapse prevention, were associated with significant increases in self-efficacy from baseline to posttreatment that were maintained for up to a year. Importantly, treatment as usual in community settings, which consisted of weekly group therapy that included addiction counseling and twelve-step recovery support, was not associated with significant increases in self-efficacy.

CONCLUSIONS

Alcohol self-efficacy increases following treatment and numerous evidence-based treatments are associated with significant increases in self-efficacy, which are maintained over time. Community treatment that focuses solely on addiction counseling and twelve-step support may not promote increases in self-efficacy.

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

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.

Alcohol and Sexual Health Behavior: "What We Know and How We Know It"

Alcohol, despite salutary associations with sexuality, has been implicated in sexual health problems. This review examines the relationship between alcohol and outcomes related to sexual health. Methodological considerations limiting causal assertions permissible with nonexperimental data are discussed, as are advantages of experimental methods. Findings from laboratory experiments are reviewed evaluating causal effects of acute alcohol intoxication on a variety of outcomes, including sexual arousal, sexual desire, orgasm, and sexual risk behaviors related to sexually transmitted infections (STIs) and human immunodeficiency virus (HIV). Several variables exerting mediating and moderating influences are identified. It is concluded that acute alcohol intoxication is capable of exerting a causal impact on multiple constituent components of sexual responding related to sexual health. Both alcohol expectancy and alcohol myopia theories have been supported as explanations for these causal effects. Furthermore, for sexual risk behavior, noteworthy recent developments include research highlighting the importance of women's sexual victimization history and men's condom use resistance. Limitations and implications associated with this body of research are also discussed.

Missing Data Techniques and the Statistical Conclusion Validity of Survey-Based Alcohol and Drug Use Research Studies: A Review and Comment on Reproducibility

The goal of the present review was to examine whether or not the use of modern missing data techniques impacts the statistical conclusion validity of research on alcohol and drug use outcomes in survey-based research studies. We identified 28 papers and received complete case data from the authors of 12 studies. Seven studies (25%) reported the missing data pattern (missing not at random [MNAR], missing at random [MAR], missing completely at random [MCAR]), 15 studies (53.6%) indicated the amount of missing observations in the data set, and a significant proportion of studies ( n = 13, 46.4%) did not report any of the conditions or assumptions under which the missing data analysis was performed or implemented. Six of the 12 (50%) studies analyzed reported a different number of statistically significant associations between the complete case and full sample analyses. Efforts should be made to make missing data analysis more accessible, easy to implement and report to improve transparency and reproducibility of findings.

Alcohol Use, Socioeconomic Status and Risk of HIV Infections

The present study investigated the associations among alcohol use, socioeconomic status (SES), and human immunodeficiency virus (HIV) status, in the South African context. It was hypothesized that SES (predictor; measured as median split asset score) and alcohol use in the past 12 months (predictor) would interact such that current drinkers of low SES would be at an increased risk of testing HIV-positive (outcome). Nationally representative, cross-sectional survey data from 2005 (N = 16,110), 2008 (N = 13,055), and 2012 (N = 25,979) were analyzed using multinomial regression models. Current drinkers of low SES had an elevated risk of HIV infection in all survey years, ranging from a relative risk ratio (RRR) of 1.94 (95% confidence interval (CI) 1.29-3.00, t = 2.93, p = 0.002) in 2012 to RRR of 3.51 (95% CI 2.02-6.08, t = 4.47, p < 0.001) in 2008. Targeting preventive strategies to alcohol users of low SES could help reduce HIV burden and associated socioeconomic differences.