| Literature DB >> 27347271 |
Meredith G B Evans1, Allanise Cloete2, Nompumelelo Zungu2, Leickness C Simbayi3.
Abstract
BACKGROUND: The HIV epidemic in South Africa is characterized mainly by heterosexual transmission. Recently, the importance of targeting key populations and marginalized groups, including men who have sex with men (MSM) and transgender people, has been added to the national agenda.Entities:
Keywords: Bisexuality; HIV; Homosexuality; Men who have sex with men; South Africa; Transgender persons; Women who have sex with women
Year: 2016 PMID: 27347271 PMCID: PMC4893624 DOI: 10.2174/1874613601610010049
Source DB: PubMed Journal: Open AIDS J ISSN: 1874-6136
Literature on HIV prevalence estimates and risk behavior among gay, bisexual and other MSM in South Africa (N=5).
| Source | Sample size | Age range | Study site | Study year | Study design | Study method | Overall HIV Prevalence | Key findings |
|---|---|---|---|---|---|---|---|---|
| Lane | Gert Sibande (n=307) | 18+ | Urban Free State, Gert Sibande & Ehlanzeni | 2013 | RDS, rapid finger-prick HIV testing | Survey | Gert Sibande=28.3% | Among MSM sampled few were aware of their HIV positive status, although regular HIV testing appeared to be common in both districts. |
| Baral | 200 MSM | 18+ | Peri-urban Cape Town | 2009 | Venue based sampling, Rapid oral testing | Survey | 25.5% | HIV positive status was associated with inconsistent condom use with male partners, having been blackmailed, being over 26 years old, being unemployed, and rural origin. |
| Burrell | 542 MSM | 18+ | Urban/peri-urban Cape Town | 2009 | Venue based sampling, Rapid oral testing | Survey | 10.4% | HIV positive status was associated with self-identifying as gay, homosexual or queer, and reporting having had a STI. Bisexual activity was reported by 17.1% of the sample. |
| Rispel | Durban (n = 85) | 18+ | Urban, Johannesburg and Durban | 2008 | RDS, rapid finger-prick HIV testing | Survey | Durban= 27.5% | HIV positive status was associated with being gay-identified, receptive UAI, sex with a person known to be HIV positive, and an STI diagnosis. |
| Lane | 278 MSM | 18+ | Peri-urban township of Soweto | 2008 | RDS, rapid HIV testing of blood samples | Survey | 13.2% | HIV positive status was associated with being older than 25, gay-identified, having monthly income less than ZAR500 (US$50), exchanging alcohol or drugs for sex, unprotected reciprocal anal intercourse, and reporting 6-9 partners in the prior 6 months. |
d[65], e[68], f[67], g[21], h[66]
Literature on behavioral, social and structural factors contributing to HIV risk among gay, bisexual, and other MSM in South Africa (N=10).
| Source | Sample size | Age range | Study site | Study year | Study design | Study methods | Key findings |
|---|---|---|---|---|---|---|---|
| Heusser & Elkonin (2013)j | 237 MSM | 18+ | South Africa (online) | n.d. | Online, recruited | Survey (online) | Participants who experienced childhood sexual assault were more likely to report dissociation and depression, drug use, drug use before sex, one-night stands, and recent abusive relationship. |
| Imrie | 223 Zulu males | 18 - 35 | Rural, Hlabisa sub-district, | n.d. | Prospective cohort study | Survey (x4) | 3.1% (n=7) reported sex with a man in the last 3 months and all reported female partner(s). |
| Eaton | 1060 MSW & 143 MSMW | Mean 31 MSW & 28 MSMW | 2009-11 | Priorities for Local AIDS Control | Survey | MSM as well as women were twice as likely to report being HIV positive and to report high levels of risk taking compared to men who had sex with women only. | |
| Jobson | 31 MSM | N/A | Peri-urban, townships of Cape Town | 2009 | Purposive sampling | Interviews & focus group discussions (FGDs) | Factors that increased HIV risk: structural violence with high levels of poverty and unemployment, and an intolerant and homophobic cultural and social context. |
| Arnold | 377 MSM | 18+ | Peri-urban township, Soweto, Gauteng | 2008 | Rapid HIV testing using blood samples | Survey | Factors that increased risk of UAI: Increased length of partnerships, number of sexual episodes with partner, “regular” partner type, experiences of homonegativity, lack of self-efficacy, low income, and being circumcised. |
| Dunkle | 1220 males | 18 - 49 | Urban/Rural, Eastern Cape & | 2008 | Multistage proportionate sampling design, dried blood spots for HIV testing | Survey | 27.4% reported any consensual MSM contact; 31.4% reported oral/anal MSM contact. |
| Sandfort | 300 MSM | 18 - 40 | Urban and peri-urban Pretoria | 2008 | Targeted recruitment | Surveys | Factors that increased risk of UAI: Partnership types of non-regular same neighborhood partners and familiar partners compared to similar (age-race-economic) partnership types. |
| Lane | 199 black MSM | 18+ | Peri-urban townships, Gauteng | 2004-5 | Purposive sampling | Survey | 59.0% reported UAI. Factors that increase risk of UAI included: regular drinking, regular drinking to intoxication, and reporting symptoms of rectal trauma resulting from anal intercourse. |
| Sandfort | 1045 MSM | 16+ | Gauteng, | 2003 & 2005 | Purposive non-proportional quota sample, self-reported status | Survey | Self-reported HIV prevalence (among previously tested) was 14.1%. High levels of testing were reported (69.7%). HIV infection was associated with lower education and knowing other PLHIV. |
| Jewkes | 1277 Xhosa males | 15 - 26 | Rural, 70 villages, Eastern Cape | 2002-3 | Randomized controlled trial, blood testing for HIV | Survey | Having had sex with a man significantly increasing odds of HIV infection (OR 3.61). |
j[76], k[31], l[72], m[75], n[73], o[30], p[74], q[20], r[25], s[71]
Literature on HIV testing, disclosure and knowledge among gay, bisexual and other MSM in South Africa (N=7).
| Source | Sample size | Age range | Study site | Study year | Study design | Study methods | Key findings |
|---|---|---|---|---|---|---|---|
| Stephenson | 36 MSM | 18+ | Urban & peri-urban townships, Cape Town | June-July 2010 & Jan 2011 | Venue-based purposive sampling | FGDs and in-depth interviews | High levels of acceptability of couples-based HCT services catered towards MSM were reported. |
| Stephenson | 486 MSM | 18+ | South Africa | June and July 2010 | Online recruitment | Internet-based survey | 89.0% acceptability of couples-based HCT. |
| Wagenaar, | 1154 MSM (USA) & 439 MSM (SA) | 18+ | South Africa and the USA | 2010 | Online recruitment | Internet-based survey | HIV knowledge levels were high for South African MSM (median score 16/18). |
| Tun | 324 MSM | 18+ | Urban and peri-urban, Pretoria &Attridgeville | 2009 | RDS | Cross-sectional survey | 22.9% endorsed HIV conspiracy beliefs (AIDS information held back from the public, HIV as a man-made virus, & people being used as guinea pigs in HIV research). |
| Knox | 300 MSM | 18 - 40 | Urban and peri-urban Pretoria | 2008 | Purposive sampling | Survey | 59.0% practiced communication of HIV status to partners. |
| Knox | 300 MSM | 18 - 40 | Urban and peri-urban Pretoria | 2008 | Purposive sampling | Community-based survey | 67.7% had ever tested for HIV. Social vulnerability (being black, living in a township, and lacking HIV knowledge) reduced likelihood of testing. Low income & not self-identifying as gay reduced repeat testing. Low income and internalized homophobia reduced recent testing. |
| Nel | 1045 MSM | 16+ | Gauteng, KwaZulu-Natal, Western Cape | 2003, 2005 | Purposive sampling of LGBT persons | Survey | 27.0% never tested for HIV. Most frequent reason for not testing was the perception of not being at risk (57.0%) and fear of being tested (52.0%). |
u[79], v[78], w[82], x[83], y[81], z[80], aa[77]
Literature on HIV risk and gay, bisexual, and other MSM in South Africa: stigma, mental health, and drug use (N=8).
| Source | Sample size | Age range | Study site | Study year | Study design | Study methods | Key findings |
|---|---|---|---|---|---|---|---|
| Rispel | 156 MSM (FGDs), 285 MSM (survey) | Johannesburg, Cape Town, Durban and Pietermaritzburg | n.d. | RDS | Survey & FGDs | MSM experienced stigma from health workers. Targeted health programs for MSM were limited. 57.0% used public health services in the past year, 69.0% did not have private health insurance. | |
| Tucker | 316 MSM | 18+ | Peri-urban townships, Cape Town | July-October 2010 | Purposive sampling | Survey | There was an association found between homophobia and risk of UAI for township MSM. |
| Tucker | 316 MSM | 18+ | Peri-urban townships, Cape Town | July-October 2010 | Purposive sampling | Survey | Depression and self-efficacy predicted UAI. |
| Vu | 324 MSM | 18+ | Urban and peri-urban Pretoria | February -August 2009 | RDS | Survey | High levels of internalized homophobia were found (10.0-20.0%). Low levels of education, high levels of HIV misinformation, bisexuality, and HIV-related conspiracy beliefs predicted internalized homophobia. |
| Lane | 47 MSM | 18+ | Soweto | April 2006 -March 2007 | Purposive sampling | In-depth interviews and FGDs | MSM reported experiencing stigma from health care workers. Non-gay identified MSM hid their sexuality from health care workers & presented heterosexual. |
| Cloete | 92 MSM & 330 MSW, all PLHIV | 18+ | Urban, Cape Town | 2006 | Purposive sampling | Survey | 57.0% internalized HIV-related stigma was found. No differences were found between MSM and men who have sex with women only. |
| Parry | 109 drug users (78 MSM) | 18+ | Durban, Cape Town, Pretoria | October-November 2005 | Snowball sampling | Observation, mapping & FGDs | HIV prevalence was found to be 35.0% among MSM drug users. |
| Parry | 78 MSM | 18+ | Durban, Cape Town, Pretoria | Oct-Nov 2005 | Snowball sampling | Interviews and FGDs | Drug use facilitated sexual encounters & led to risky sex for MSM (including inconsistent condom use). |
bb[88], cc[87], dd[86], ee[84], ff[17], gg[85], hh[89], ii[90]
Literature on HIV risk among lesbian, bisexual and other WSW in South Africa (N=3).
| Source | Sample size | Age range | Study site | Study year | Study design | Study methods | Key findings |
|---|---|---|---|---|---|---|---|
| Sandfort | 591 WSW | 18+ years | Botswana, Namibia, South Africa, Zimbabwe (61.0% South African) | 2010 | Convenience sample | Surveys | Self-reported HIV prevalence was 9.6%. Approximately 50.0% of WSW had reported having ever had consensual heterosexual sex.Transactional sex was reported by nearly 1 in 5 WSW. Experience of rape was reported by nearly 1 in 3 women. Having been raped by men and/or women were the only factors independently associated with HIV prevalence. |
| Matebeni | 24 self-identified lesbians, PLHIV | 18+ years | Namibia, South Africa and Zimbabwe (16/24 South African) | 2010-11 | Community participatory approach, purposive sampling | In-depth interviews | Rape was reported by 1 in 3 (8/24) lesbians living with HIV. Barriers to health services were identified (providers uninformed, negative attitudes). The misconception that lesbians are safe from HIV was a common belief. Safer sex barriers (dental dams, finger condoms, gloves) were not freely available. |
| Cloete | 72 WSW, PLHIV | 18+ | Cape Town, South Africa | 2006 | Convenience sampling | Surveys | Of WSW living with HIV: 76.0% reported a sexually transmitted infection (STI); 33.0% engaged in transactional sex; 45.0% had been raped; 47.0% had experienced physical intimate partner violence; 15.0% had a history of IDU; and just fewer than 50.0% reported recent risky sexual behavior with men. |
jj[91], kk[41], ll[92]
Literature on HIV risk among LGB (lesbian, gay, bisexual) youth in South Africa (N=2).
| Source | Sample size | Age range | Study site | Year of study | Study design | Study methods | Key findings |
|---|---|---|---|---|---|---|---|
| Thurston | 822 adolescents | 16 to 18 years old | Urban, Johannesburg | October 2008 -November 2009 | Convenience sample | Surveys | LGB youth had an increased HIV risk of having a higher number of sex partners and to have engaged in transactional sex relative to their heterosexual peers. |
| Miller | 379 adolescents | 14 to 19 years old | Urban, Soweto, Johannesburg, South Africa | Surveys | A higher percentage of those who identified as lesbian, gay or bisexual were HIV positive (14%, 4/29) compared to those who identified as heterosexual (2.3%, 8/350). |