Georges Reniers
Rania Tfaily

http://www.demographic-research.org/volumes/vol19/53/

doi:10.4054/DemRes.2008.19.53

	Click the icon to view and/or download the PDF file. Once you are in the PDF file, use your browser back button to return to this page.

Abstract
We review the relationship between polygyny and HIV and identify a positive individual-level correlation, and a negative ecological correlation. We subsequently examine two mechanisms that contribute to the individual-level correlation. First, we find that men in polygynous marriages have more extramarital sex than men in monogamous unions (both in terms of self reports and in terms of spousal reports of the suspicion of adultery). Second, we find evidence of adverse selection of HIV positive women into polygynous unions via an investigation of the relationship between marriage order and polygyny status. We conclude with reflections about possible explanations for the distinct individual and ecological correlations.

Author's affiliation
Georges Reniers
University of Colorado at Boulder, United States of America
Rania Tfaily
Carleton University, Canada

Keywords
AIDS/HIV, Malawi, marriage, polygyny, sexual behavior, Sub-Saharan Africa, widowhood

Word count (Main text)
3728

Other articles by the same author/authors (in Demographic Research)

	[S1-2] An Assessment of the KDICP and MDICP Data Quality: Interviewer Effects, Question Reliability and Sample Attrition
	[S1-6] Divorce and Remarriage in Rural Malawi

Most recent similar articles in Demographic Research

	[22-3] Masculine sex ratios, population age structure and the potential spread of HIV in China (sexual behavior, AIDS/HIV)
	[22-1] Extra-marital sexual partnerships and male friendships in rural Malawi (Malawi, AIDS/HIV)
	[21-21] Social inequality and HIV-testing: Comparing home- and clinic-based testing in rural Malawi (Malawi, AIDS/HIV)
	[21-15] The Likoma Network Study: Context, data collection and initial results (sexual behavior, Malawi)
	[21-11] Sexual behaviour patterns in South Africa and their association with the spread of HIV: insights from a mathematical model (sexual behavior, AIDS/HIV)

[ Back to previous page ]