Article Text

Download PDFPDF
The role of heterosexual anal intercourse for HIV transmission in developing countries: are we ready to draw conclusions?
  1. Marie-Claude Boily1,
  2. Rebecca F Baggaley1,
  3. Benoit Mâsse2
  1. 1
    Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, London, UK
  2. 2
    Statistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
  1. Correspondence to Dr Marie-Claude Boily, Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, Norfolk Place, London W2 1PG, UK; mc.boily{at}ic.ac.uk

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

In this issue (see page 411), Kalichman et al1 report the results of a cross-sectional study on anal intercourse (AI) of heterosexual men and women in South Africa (SA).1 This study is a welcome addition to the literature, since there are relatively few studies quantifying rates of AI among heterosexual populations, especially in SA. Overall, 14% men and 10% women reported AI in the previous 3 months. Among those, 56% did in at least 50% of all sex acts and reported using condoms as often for AI as for vaginal intercourse (VI). Despite this, the authors concluded that the rate of AI was relatively low among heterosexuals and that, “even among those who do engage in AI, most do so at significantly lower rates than VI” (total VI = 9.90, total AI = 8.47) based on reported mean frequencies of all (protected and unprotected) VI and AI (table 3)*. However, we believe that the observed differences in unprotected VI and AI are not sufficient to assert this with confidence, especially for men (mean frequency of unprotected AI and VI acts: 3.61 and 4.56 respectively for females, 3.11 and 3.04 for males). They further argued that, although the role of AI remains unclear, the HIV epidemic in SA cannot be primarily attributed to AI and that AI “should neither be the focus of nor ignored by HIV prevention interventions in SA.” They also suggest that, relative to VI, AI is unlikely to account for a large fraction of new HIV infections in Africa, but its role should not be underestimated given its higher transmission efficiency.

As stated by the authors, an important limitation of these results is that the AI rate may be underestimated, given the sensitivity of subject matter and the interviewing method used (self-administered questionnaire with minimal assistance). Studies …

View Full Text

Footnotes

  • Funding This work was supported by the Wellcome Trust (GR082623MA to RFB); BM was supported by the National Institutes of Health (grant number 5 U01 AI068615-03).

  • Competing interests None.

  • MCB wrote the first draft and produced some of the results and figures. RFB also produced results and some figures, and revised the different drafts of the manuscript. BM significantly contributed to the first draft of the manuscript, verified results and edited subsequent drafts.

  • Provenance and peer review Commissioned; externally peer reviewed.

Linked Articles