SynthesisJournal of the International AIDS Society2017
How common and frequent is heterosexual anal intercourse among South Africans? A systematic review and meta-analysis.
Synthesis in Journal of the International AIDS Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Increases in HIV Incidence Following Receptive Anal Intercourse Among Women: A Systematic Review and Meta-analysis.AIDS and behavior · 2020Pooled it
- What Proportion of Female Sex Workers Practise anal Intercourse and How Frequently? A Systematic Review and Meta-analysis.AIDS and behavior · 2020Pooled it
- Does per-act HIV-1 transmission risk through anal sex vary by gender? An updated systematic review and meta-analysis.American journal of reproductive immunology (New York, N.Y. : 1989) · 2018Pooled it
- Brief Report: Anal Intercourse, HIV-1 Risk, and Efficacy in a Trial of a Dapivirine Vaginal Ring for HIV-1 Prevention.Journal of acquired immune deficiency syndromes (1999) · 2020Trial
- The Association Between Heterosexual anal Intercourse and HIV Acquisition in Three Prospective Cohorts of Women.AIDS and behavior · 2023Article
- Longitudinal determinants of anal intercourse among women with, and without HIV in the United States.BMC women's health · 2022Article
- Article
- Patterns and Trajectories of Anal Intercourse Practice Over the Life Course Among US Women at Risk of HIV.The journal of sexual medicine · 2020Observational
- Receptive anal sex contributes substantially to heterosexually acquired HIV infections among at-risk women in twenty US cities: Results from a modelling analysis.American journal of reproductive immunology (New York, N.Y. : 1989) · 2020Article
- Article
- Widespread changes in sexual behaviour in eastern and southern Africa: Challenges to achieving global HIV targets? Longitudinal analyses of nationally representative surveys.Journal of the International AIDS Society · 2019Article
- Heterosexual oral and anal sex in Kinshasa (D.R.Congo): Data from OKAPI prospective cohort.PloS one · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundHIV is transmitted more effectively during anal intercourse (AI) than vaginal intercourse (VI). However, patterns of heterosexual AI practice and its contribution to South Africa's generalized epidemic remain unclear. We aimed to determine how common and frequent heterosexual AI is in South Africa.
methodsWe searched for studies reporting the proportion practising heterosexual AI (prevalence) and/or the number of AI and unprotected AI (UAI) acts (frequency) in South Africa from 1990 to 2015. Stratified random-effects meta-analysis by sub-groups was used to produce pooled estimates and assess the influence of participant and study characteristics on AI prevalence. We also estimated the fraction of all sex acts which were AI or UAI and compared condom use during VI and AI.
resultsOf 41 included studies, 31 reported on AI prevalence and 14 on frequency, over various recall periods. AI prevalence was high across different recall periods for sexually active general-risk populations (e.g. lifetime = 18.4% [95%CI:9.4-27.5%], three-month = 20.3% [6.1-34.7%]), but tended to be even higher in higher-risk populations such as STI patients and female sex workers (e.g. lifetime = 23.2% [0.0-47.4%], recall period not stated = 40.1% [36.2-44.0%]). Prevalence was higher in studies using more confidential interview methods. Among general and higher-risk populations, 1.2-40.0% and 0.7-21.0% of all unprotected sex acts were UAI, respectively. AI acts were as likely to be condom protected as vaginal acts.
conclusionReported heterosexual AI is common but variable among South Africans. Nationally and regionally representative sexual behaviour studies that use standardized recall periods and confidential interview methods, to aid comparison across studies and minimize reporting bias, are needed. Such data could be used to estimate the extent to which AI contributes to South Africa's HIV epidemic.
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