Dataset Information

Effects of condom use on HIV transmission among adolescent sexual minority males in the United States: a mixed epidemiology and epidemic modeling study.

ABSTRACT:

Purpose

We examined condom use patterns and potential population-level effects of a hypothetical condom intervention on HIV transmission among adolescent sexual minority males (ASMM).

Methods

Using three datasets: national Youth Risk Behavior Survey 2015-2017 (YRBS-National), local YRBS data from 8 jurisdictions with sex of partner questions from 2011-2017 (YRBS-Trends), and American Men's Internet Survey (AMIS) 2014-2017, we assessed associations of condom use with year, age, and race/ethnicity among sexually-active ASMM. Using a stochastic agent-based network epidemic model, structured and parameterized based on the above analyses, we calculated the percent of HIV infections averted over 10 years among ASMM ages 13-18 by an intervention that increased condom use by 37% for 5 years and was delivered to 62% of ASMM at age 14.

Results

In YRBS, 51.8% (95% confidence interval [CI] = 41.3-62.3%) and 37.9% (32.7-42.3%) reported condom use at last sexual intercourse in national and trend datasets, respectively. In AMIS, 47.3% (95%CI = 44.6-49.9%) reported condom use at last anal sex with a male partner. Temporal trends were not observed in any dataset (p > 0.1). Condom use varied significantly by age in YRBS-National (p < 0.0001) and YRBS-Trends (p = 0.032) with 13-15-year-olds reporting the lowest use in both; age differences were not significant in AMIS (p = 0.919). Our hypothetical intervention averted a mean of 9.0% (95% simulation interval = -5.4%-21.2%) of infections among ASMM.

Conclusions

Condom use among ASMM is low and appears to have remained stable during 2011-2017. Modeling suggests that condom use increases consistent with previous interventions have potential to avert 1 in 11 new HIV infections among ASMM.

SUBMITTER: Katz DA

PROVIDER: S-EPMC8594521 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Although construct measurement is critical to explanatory research and intervention efforts, rigorous measure development remains a notable challenge. For example, though the primary theoretical model for understanding health disparities among sexual minority (e.g., lesbian, gay, bisexual) adolescents is minority stress theory, nearly all published studies of this population rely on minority stress measures with poor psychometric properties and development procedures. In response, we developed the Sexual Minority Adolescent Stress Inventory (SMASI) with N = 346 diverse adolescents ages 14-17, using a comprehensive approach to de novo measure development designed to produce a measure with desirable psychometric properties. After exploratory factor analysis on 102 candidate items informed by a modified Delphi process, we applied item response theory techniques to the remaining 72 items. Discrimination and difficulty parameters and item characteristic curves were estimated overall, within each of 12 initially derived factors, and across demographic subgroups. Two items were removed for excessive discrimination and three were removed following reliability analysis. The measure demonstrated configural and scalar invariance for gender and age; a three-item factor was excluded for demonstrating substantial differences by sexual identity and race/ethnicity. The final 64-item measure comprised 11 subscales and demonstrated excellent overall (? = 0.98), subscale (? range 0.75-0.96), and test-retest (scale r > 0.99; subscale r range 0.89-0.99) reliabilities. Subscales represented a mix of proximal and distal stressors, including domains of internalized homonegativity, identity management, intersectionality, and negative expectancies (proximal) and social marginalization, family rejection, homonegative climate, homonegative communication, negative disclosure experiences, religion, and work domains (distal). Thus, the SMASI development process illustrates a method to incorporate information from multiple sources, including item response theory models, to guide item selection in building a psychometrically sound measure. We posit that similar methods can be used to improve construct measurement across all areas of psychological research, particularly in areas where a strong theoretical framework exists but existing measures are limited.