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

被引：5

作者：

Djiadeu, Pascal ^{[1
,2
,3
]}

Smith, Martez D. R. ^{[1
,2
]}

Kushwaha, Sameer ^{[2
,4
]}

Odhiambo, Apondi J. ^{[2
]}

Absalom, David ^{[2
]}

Husbands, Winston ^{[5
]}

Tharao, Wangari ^{[6
]}

Regan, Rotrease ^{[7
]}

Sa, Ting ^{[8
]}

Zhang, Nanhua ^{[8
,9
]}

Kaul, Rupert ^{[10
]}

Nelson, LaRon E. ^{[1
,2
]}

机构：

[1] Yale Univ, Sch Nursing, Orange, CT USA

[2] St Michaels Hosp, Unity Hlth Toronto, Li Ka Shing Knowledge Inst, MAP Ctr Urban Hlth Solut, Toronto, ON, Canada

[3] McMaster Univ, Dept Hlth Res Methods Evidence & Impact, Hamilton, ON, Canada

[4] Univ Toronto, Dept Med, Toronto, ON, Canada

[5] Ontario HIV Treatment Network, Toronto, ON, Canada

[6] Womens Hlth Womens Hands, Toronto, ON, Canada

[7] Emory Univ, Sch Med, Div Infect Dis, Atlanta, GA USA

[8] Cincinnati Childrens Hosp Med Ctr, Dept Biostatist & Epidemiol, Cincinnati, OH USA

[9] Univ Cincinnati, Dept Pediat, Coll Med, Cincinnati, OH USA

[10] Univ Toronto, Fac Med, Dept Immunol, Toronto, ON, Canada

来源：

JOURNAL OF THE INTERNATIONAL ASSOCIATION OF PROVIDERS OF AIDS CARE | 2020年 / 19卷

关键词：

HIV; black men; risk; stigma; MSM; infection; testing; AFRICAN-AMERICAN MEN; CONDOM USE; HEALTH-CARE; HIGH-RISK; SEX; TRANSMISSION; DISPARITIES; SYPHILIS; PEOPLE; STIGMA;

D O I：

10.1177/2325958220934613

中图分类号：

R51 [传染病];

学科分类号：

100401 ;

摘要：

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.

引用

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