Prevalence and Correlates of HIV Testing among Sexual Minorities
Bibliographic Data
| ID | 15330571 |
|---|---|
| Authors | Ellen T Kurtzman (0000-0003-2010-9946, Ellen T. Kurtzman, Associate Professor, School of Nursing, The George Washington University, Washington, DC, United States;, Email: [email protected], corresponding author), Karen F Wyche (0000-0003-2299-319X, George Washington University) |
| Year | 2021 |
| Volume | 45 |
| Issue | 5 |
| Pages | 879-894 |
| Publication date | 2021-09-30 |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Health Behavior (JOURNAL) |
| Journal identifiers | ISSN: 1087-3244 • E-ISSN: 1945-7359 |
| Publisher | PNG Publications (PUBLISHER • US) |
| DOI | 10.5993/ajhb.45.5.8 |
| PMID | 34702435 |
| OpenAlex | W3210742389 |
| Language | EN |
| References cited | 21 |
Objectives: We established baseline prevalence rates of HIV testing among adult, sexual minorities and identified the correlates of never being HIV tested. Methods: We used a 20-state sample of the 2017-2019 Behavioral Risk Factor Surveillance System to identify sexual minorities who responded to the HIV testing question (N=433,042). Using weighted multivariate logistic regression analysis, we identified the characteristics associated with never being HIV tested and the impact of state health departments' HIV testing messages on testing status. Results: Overall, 41.6% of sexual minorities reported never being HIV tested with statistically significant state-level variation. Being younger (18-24 years) or older (65+ years), not black, married, and in good health significantly increased the odds of never being HIV tested as did lacking regular healthcare access and reporting no high-risk HIV behaviors. States' HIV testing messages had no statistically significant effect on HIV testing status. Conclusions: Although sexual minorities were less likely than straight respondents to report never being HIV tested, a sizable population remained untested. Specific characteristics associated with sexual minorities' HIV testing status can be used to tailor public health messages and optimize testing rates
Behavioral Risk Factor Surveillance System · Environmental health · Family medicine · Human immunodeficiency virus (HIV · Logistic regression · Multivariate analysis · Odds · Odds ratio · Pathology · Population · Public health · Reproductive health · Sexual minority · Sexual orientation · Demography · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · LGBTQ Health, Identity, and Policy · Medicine · Psychology · Social Psychology · Gerontology · Internal Medicine
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| Highly cited | No |
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