Social, Clinical, and Behavioral Determinants of HIV Infection and HIV Testing among Black Men in Toronto, Ontario: A Classification and Regression Tree Analysis

Black men bear a disproportionate burden of HIV infection. These HIV inequities are influenced by intersecting social, clinical, and behavioral factors. The purpose of this analysis was to determine the combinations of factors that were most predictive of HIV infection and HIV testing among black me...

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Bibliographic Details
Published in:Journal of the International Association of Providers of AIDS Care 2020-01, Vol.19, p.2325958220934613-2325958220934613
Main Authors: Djiadeu, Pascal, Smith, Martez D. R., Kushwaha, Sameer, Odhiambo, Apondi J., Absalom, David, Husbands, Winston, Tharao, Wangari, Regan, Rotrease, Sa, Ting, Zhang, Nanhua, Kaul, Rupert, Nelson, LaRon E.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Black or African American - psychology
Black or African American - statistics & numerical data
Black people
Classification
Female
Healthcare Disparities
HIV
HIV Infections - diagnosis
HIV Infections - ethnology
HIV Testing - statistics & numerical data
Homosexuality, Male - psychology
Human immunodeficiency virus
Humans
Inequality
Infections
Male
Medical tests
Men
Ontario
Predictions
Review
Sexual Behavior
Sexual Partners
Social Determinants of Health
Social Stigma
Young Adult
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Summary:Black men bear a disproportionate burden of HIV infection. These HIV inequities are influenced by intersecting social, clinical, and behavioral factors. The purpose of this analysis was to determine the combinations of factors that were most predictive of HIV infection and HIV testing among black men in Toronto. Classification and regression tree analysis was applied to secondary data collected from black men (N = 460) in Toronto, 82% of whom only had sex with women and 18% whom had sex with men at least once. For HIV infection, 10 subgroups were identified and characterized by number of lifetime male partners, age, syphilis history, and perceived stigma. Number of lifetime male partners was the best single predictor of HIV infection. For HIV testing, the analysis identified 8 subgroups characterized by age, condom use, number of sex partners and Chlamydia history. Age (>24 years old) was the best single predictor of HIV testing.
ISSN:2325-9582
2325-9574
2325-9582
DOI:10.1177/2325958220934613