Skip to main content

Partner concurrency and HIV infection risk in South Africa.

Publication ,  Journal Article
Kenyon, CR; Tsoumanis, A; Schwartz, IS; Maughan-Brown, B
Published in: Int J Infect Dis
April 2016

BACKGROUND: The relationship between concurrent sexual partnerships and HIV risk is not fully understood. Evidence on the relationship between partner concurrency (one's sexual partner has another partner) and individual HIV risk is limited. In this study, the relationship between reported sexual partner concurrency and the risk of HIV infection was explored among South Africans. METHODS: Data from the third South African national HIV survey were used. In this survey, performed in 2008, questionnaires and HIV tests were administered to a nationally representative sample of 15031 persons. Bivariate analysis and multiple logistic regression were used to evaluate the relationship between partner concurrency and HIV serostatus. Spearman's correlation was used to test the association between the prevalence of HIV and partner concurrency by race in women. RESULTS: The relationship between HIV prevalence and partner concurrency varied by race. At a cross-racial level there was a positive association between HIV prevalence and partner concurrency for women (rho=0.95, p=0.05). Among coloured, white, and Indian persons, HIV prevalence and partner concurrency rates were too low to allow further statistical testing. In the bivariate analysis, black African women who reported partner concurrency had a higher prevalence of HIV (36% (95% confidence interval (CI) 29.7-42.0) vs. 23% (95% CI 19.6-26.1), p<0.001). After controlling for demographic, social, biological, and behavioural variables, the association remained statistically significant (adjusted odds ratio (aOR) 1.4, p=0.04). The association was stronger among 15-29-year-old black African women (aOR 1.8, p=0.03) than among women aged 30 years and older (aOR 1.3, p=0.36). CONCLUSIONS: These results suggest that partner concurrency may increase the HIV infection risk for black South African women, and in particular, for younger women.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Int J Infect Dis

DOI

EISSN

1878-3511

Publication Date

April 2016

Volume

45

Start / End Page

81 / 87

Location

Canada

Related Subject Headings

  • South Africa
  • Sexual Partners
  • Sexual Behavior
  • Risk Factors
  • Middle Aged
  • Microbiology
  • Logistic Models
  • Humans
  • HIV Infections
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kenyon, C. R., Tsoumanis, A., Schwartz, I. S., & Maughan-Brown, B. (2016). Partner concurrency and HIV infection risk in South Africa. Int J Infect Dis, 45, 81–87. https://doi.org/10.1016/j.ijid.2016.03.001
Kenyon, Chris R., Achilleas Tsoumanis, Ilan S. Schwartz, and Brendan Maughan-Brown. “Partner concurrency and HIV infection risk in South Africa.Int J Infect Dis 45 (April 2016): 81–87. https://doi.org/10.1016/j.ijid.2016.03.001.
Kenyon CR, Tsoumanis A, Schwartz IS, Maughan-Brown B. Partner concurrency and HIV infection risk in South Africa. Int J Infect Dis. 2016 Apr;45:81–7.
Kenyon, Chris R., et al. “Partner concurrency and HIV infection risk in South Africa.Int J Infect Dis, vol. 45, Apr. 2016, pp. 81–87. Pubmed, doi:10.1016/j.ijid.2016.03.001.
Kenyon CR, Tsoumanis A, Schwartz IS, Maughan-Brown B. Partner concurrency and HIV infection risk in South Africa. Int J Infect Dis. 2016 Apr;45:81–87.

Published In

Int J Infect Dis

DOI

EISSN

1878-3511

Publication Date

April 2016

Volume

45

Start / End Page

81 / 87

Location

Canada

Related Subject Headings

  • South Africa
  • Sexual Partners
  • Sexual Behavior
  • Risk Factors
  • Middle Aged
  • Microbiology
  • Logistic Models
  • Humans
  • HIV Infections
  • Female