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Published in: AIDS and Behavior 7/2013

01-09-2013 | Original Paper

Partnership Concurrency and Coital Frequency

Authors: Lauren Gaydosh, Georges Reniers, Stéphane Helleringer

Published in: AIDS and Behavior | Issue 7/2013

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Abstract

National HIV prevalence estimates across sub-Saharan Africa range from less than 1 percent to over 25 percent. Recent research proposes several explanations for the observed variation, including prevalence of male circumcision, levels of condom use, presence of other sexually transmitted infections, and practice of multiple concurrent partnerships. However, the importance of partnership concurrency for HIV transmission may depend on how it affects coital frequency with each partner. The coital dilution hypothesis suggests that coital frequency within a partnership declines with the addition of concurrent partners. Using sexual behavior data from rural Malawi and urban Kenya, we investigate the relationship between partnership concurrency and coital frequency, and find partial support for the coital dilution hypothesis. We conclude the paper with a discussion of our findings in light of the current literature on concurrency.
Appendix
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Footnotes
1
A study of the determinants of partnership concurrency using the ULYKP data finds that coital frequency of the initial relationship is not predictive of entry into a second, concurrent partnership [18].
 
2
We tested for a non-linear relationship with age, but the quadratic term was not significant. This specification of relationship duration is a restriction of the LNS data; the question asking about first sex in the LNS included response categories for within the last week, within the last month, within the last year, and more than 1 year ago. Inclusion of a linear and quadratic term for relationship duration in the ULYKP does not change the results.
 
3
12 % is for the ULYKP sample in Table 7.
 
4
The same relationship may also be reported on by both partners and thus included twice in the sample.
 
5
There is no mathematical requirement that levels of concurrency be the same for men and women. While the total number of sex acts must be the same (assuming only heterosexual sex), levels of concurrency may be different.
 
6
Results are of comparable magnitude and significance for spousal (formal) and non-spousal (informal) relationships in the LNS. For ULYKP, there is a negative but non-significant association between concurrency and coital frequency for spousal relationships. There is a positive but non-significant association between concurrency and coital frequency for non-spousal relationships. See Online Appendix 4 for results.
 
7
Even though the number of cases are not numerically important, it is worth noting that the UNAIDS definition forces us to right censor ongoing partnerships at the month of last sex if no sex was reported for the month before the survey.
 
8
We cannot repeat the analysis for the 3 years and 1 year preceding the survey because of the small number of relationship-months in which individuals have concurrent partners.
 
9
The assumption of a fixed number of partnerships implies that the number of men or women without a partner (i.e., the number of isolated nodes in a sexual network) increases as rates of partnership concurrency increase. In an empirical study of polygyny, for example, there is no evidence that young men’s access to sexual partners is restricted in populations with a higher prevalence of polygyny [17]. In other words, there is no evidence of an increase in the number of isolated nodes in populations where older polygynous men might be expected to crowd out the younger men from the partnerships market.
 
Literature
1.
go back to reference Bongaarts J, Buettner T, Heilig G, Pelletier F. Has the HIV epidemic peaked? Popul Dev Rev. 2008;34(2):199–224.CrossRef Bongaarts J, Buettner T, Heilig G, Pelletier F. Has the HIV epidemic peaked? Popul Dev Rev. 2008;34(2):199–224.CrossRef
2.
go back to reference Cameron DW, D’Costa LJ, Maitha GM, Cheang M, Piot P, Simonsen JN, Ronald AR, Gakinya MN, Ndinya-Achola JO, Brunham RC. Female to male transmission of human immunodeficiency virus type 1: risk factors for seroconversion in men. Lancet. 1989;334(8660):403–7.CrossRef Cameron DW, D’Costa LJ, Maitha GM, Cheang M, Piot P, Simonsen JN, Ronald AR, Gakinya MN, Ndinya-Achola JO, Brunham RC. Female to male transmission of human immunodeficiency virus type 1: risk factors for seroconversion in men. Lancet. 1989;334(8660):403–7.CrossRef
3.
go back to reference Bongaarts J, Reining P, Way P, Conant F. The relationship between male circumcision and HIV infection in African populations. AIDS. 1989;3(6):373–7.PubMedCrossRef Bongaarts J, Reining P, Way P, Conant F. The relationship between male circumcision and HIV infection in African populations. AIDS. 1989;3(6):373–7.PubMedCrossRef
4.
go back to reference Moses S, Bradley JE, Jagelkerke NJD, Ronald AR, Ndinya-Achla JO, Plummer FA. Geographical patterns of male circumcision practices in Africa: association with HIV seroprevalence. Int J Epidemiol. 1990;19:693–7.PubMedCrossRef Moses S, Bradley JE, Jagelkerke NJD, Ronald AR, Ndinya-Achla JO, Plummer FA. Geographical patterns of male circumcision practices in Africa: association with HIV seroprevalence. Int J Epidemiol. 1990;19:693–7.PubMedCrossRef
5.
go back to reference Chin J. The AIDS Pandemic: the collision of epidemiology with political correctness. Oxford: Radcliffe Publishing; 2007. Chin J. The AIDS Pandemic: the collision of epidemiology with political correctness. Oxford: Radcliffe Publishing; 2007.
6.
go back to reference United Nations. Levels and trends of contraceptive use as Assessed in 2002. Population Division, Department of Economic and Social Affairs. New York: United Nations (ST/ESA/SER.A/239); 2006. United Nations. Levels and trends of contraceptive use as Assessed in 2002. Population Division, Department of Economic and Social Affairs. New York: United Nations (ST/ESA/SER.A/239); 2006.
7.
8.
go back to reference Halperin DT, Epstein H. Concurrent sexual partnerships help to explain Africa’s high HIV prevalence: implications for prevention. Lancet. 2004;364(9428):4–6.PubMedCrossRef Halperin DT, Epstein H. Concurrent sexual partnerships help to explain Africa’s high HIV prevalence: implications for prevention. Lancet. 2004;364(9428):4–6.PubMedCrossRef
9.
go back to reference Mah TL, Halperin DT. Concurrent sexual partnerships and the HIV epidemics in Africa: evidence to move forward. AIDS Behav. 2010;14(1):11–6.PubMedCrossRef Mah TL, Halperin DT. Concurrent sexual partnerships and the HIV epidemics in Africa: evidence to move forward. AIDS Behav. 2010;14(1):11–6.PubMedCrossRef
10.
go back to reference Moody J. The importance of relationship timing for diffusion. Soc Forces. 2002;81(1):25–56.CrossRef Moody J. The importance of relationship timing for diffusion. Soc Forces. 2002;81(1):25–56.CrossRef
11.
go back to reference Boily MC, Alary M, Baggaley RF. Neglected issues and hypotheses regarding the impact of sexual concurrency on HIV and sexually transmitted infections. AIDS Behav. 2012;16(2):304–11. Boily MC, Alary M, Baggaley RF. Neglected issues and hypotheses regarding the impact of sexual concurrency on HIV and sexually transmitted infections. AIDS Behav. 2012;16(2):304–11.
12.
go back to reference Wawer M, Gray RH, Sewankambo NK, Serwadda D, Li X, Laeyendecker O, Kiwanuka N, Kigozi G, Kiddugavu M, Lutalo T, Nalugoda F, Wabwire-Mangen F, Meehan MP, Quinn TC. Rates of HIV-1 transmission per coital act, by stage of HIV-1 infection, in Rakai, Uganda. J Infect Dis. 2005;191(9):1403–9.PubMedCrossRef Wawer M, Gray RH, Sewankambo NK, Serwadda D, Li X, Laeyendecker O, Kiwanuka N, Kigozi G, Kiddugavu M, Lutalo T, Nalugoda F, Wabwire-Mangen F, Meehan MP, Quinn TC. Rates of HIV-1 transmission per coital act, by stage of HIV-1 infection, in Rakai, Uganda. J Infect Dis. 2005;191(9):1403–9.PubMedCrossRef
13.
go back to reference Eaton J, Hallett T, Garnett GP. Concurrent sexual partnerships and primary HIV infection: a critical interaction. AIDS Behav. 2010;15(4):687–92.CrossRef Eaton J, Hallett T, Garnett GP. Concurrent sexual partnerships and primary HIV infection: a critical interaction. AIDS Behav. 2010;15(4):687–92.CrossRef
14.
go back to reference Goodreau SM, Cassels S, Kasprzyk D, Montano DE, Greek A, Morris M. Concurrent partnerships, acute infection, and HIV epidemic dynamics among young adults in Zimbabwe. AIDS Behav. 2012;16(2):312–22. Goodreau SM, Cassels S, Kasprzyk D, Montano DE, Greek A, Morris M. Concurrent partnerships, acute infection, and HIV epidemic dynamics among young adults in Zimbabwe. AIDS Behav. 2012;16(2):312–22.
15.
go back to reference Reniers G, Watkins S. Polygyny and the spread of HIV in sub-Saharan Africa: a case of benign concurrency. AIDS. 2010;24(2):299–307.PubMedCrossRef Reniers G, Watkins S. Polygyny and the spread of HIV in sub-Saharan Africa: a case of benign concurrency. AIDS. 2010;24(2):299–307.PubMedCrossRef
16.
go back to reference Sawers L, Isaac AG, Stillwaggon E. HIV and concurrent sexual partnerships: modeling the role of coital dilution. J Int AIDS Soc. 2011;14:44.PubMedCrossRef Sawers L, Isaac AG, Stillwaggon E. HIV and concurrent sexual partnerships: modeling the role of coital dilution. J Int AIDS Soc. 2011;14:44.PubMedCrossRef
18.
go back to reference Xu H, Luke N, Zulu E. Concurrent sexual partnerships among youth in urban Kenya: prevalence and partnership effects. Pop Stud. 2010;64(3):247–61.CrossRef Xu H, Luke N, Zulu E. Concurrent sexual partnerships among youth in urban Kenya: prevalence and partnership effects. Pop Stud. 2010;64(3):247–61.CrossRef
19.
go back to reference Kaler A. My girlfriends could fill a Yanu–Yanu bus: Rural Malawian men’s claims about their own serostatus. Demogr Res. 2003; Special Collection 1(Article 11):349–72. Kaler A. My girlfriends could fill a Yanu–Yanu bus: Rural Malawian men’s claims about their own serostatus. Demogr Res. 2003; Special Collection 1(Article 11):349–72.
20.
go back to reference Nnko S, Boerma JT, Urassa M, Mwaluko G, Zaba B. Secretive females or swaggering males? an assessment of the quality of sexual partnership reporting in rural Tanzania. Soc Sci Med. 2004;59(2):299–310.PubMedCrossRef Nnko S, Boerma JT, Urassa M, Mwaluko G, Zaba B. Secretive females or swaggering males? an assessment of the quality of sexual partnership reporting in rural Tanzania. Soc Sci Med. 2004;59(2):299–310.PubMedCrossRef
21.
go back to reference Curtis SL, Sutherland EG. Measuring sexual behavior in the era of HIV/AIDS: the experience of Demographic and Health Surveys and similar enquiries. Sex Transm Infect. 2004; 80(Supplement 2):ii1–ii7. Curtis SL, Sutherland EG. Measuring sexual behavior in the era of HIV/AIDS: the experience of Demographic and Health Surveys and similar enquiries. Sex Transm Infect. 2004; 80(Supplement 2):ii1–ii7.
22.
go back to reference Helleringer S, Kohler H-P, Kalilani-Phiri L, Mkandawire J, Armbruster B. The reliability of sexual partnership histories: implications for the measurement of partnership concurrency during surveys. AIDS. 2011;25(4):503–11.PubMedCrossRef Helleringer S, Kohler H-P, Kalilani-Phiri L, Mkandawire J, Armbruster B. The reliability of sexual partnership histories: implications for the measurement of partnership concurrency during surveys. AIDS. 2011;25(4):503–11.PubMedCrossRef
23.
go back to reference Cleland J, Boerma JT, Caraël M, Weir SS. Monitoring sexual behavior in general populations: a synthesis of lessons of the past decade. Sex Transm Infect. 2004; 80(Supplement 2): ii1–ii7. Cleland J, Boerma JT, Caraël M, Weir SS. Monitoring sexual behavior in general populations: a synthesis of lessons of the past decade. Sex Transm Infect. 2004; 80(Supplement 2): ii1–ii7.
24.
go back to reference Clark S, Kabiru C, Zulu E. Do men and women report their sexual partnerships differently? evidence from Kisumu, Kenya. Int Perspect Sex Reprod Health. 2011;37(4):181–90.PubMedCrossRef Clark S, Kabiru C, Zulu E. Do men and women report their sexual partnerships differently? evidence from Kisumu, Kenya. Int Perspect Sex Reprod Health. 2011;37(4):181–90.PubMedCrossRef
25.
go back to reference Luke N, Clark S, Zulu E. The relationship history calendar: improving the scope and quality of data on youth sexual behavior. Demography. 2011;48:1151–76.PubMedCrossRef Luke N, Clark S, Zulu E. The relationship history calendar: improving the scope and quality of data on youth sexual behavior. Demography. 2011;48:1151–76.PubMedCrossRef
26.
go back to reference Helleringer S, Kohler H-P. Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi. AIDS. 2007;21(17):2323–32.PubMedCrossRef Helleringer S, Kohler H-P. Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi. AIDS. 2007;21(17):2323–32.PubMedCrossRef
27.
go back to reference Helleringer S, Kohler H-P, Chimbiri A, Chatonda P, Mkandawire J. The Likoma network study: context, data collection and initial results. Demogr Res. 2009;21:427–68.PubMedCrossRef Helleringer S, Kohler H-P, Chimbiri A, Chatonda P, Mkandawire J. The Likoma network study: context, data collection and initial results. Demogr Res. 2009;21:427–68.PubMedCrossRef
28.
go back to reference Helleringer S, Kohler H-P, Kalilani-Phiri L. The association of HIV serodiscordance and partnership concurrency in Likoma Island, Malawi. AIDS. 2009;23(10):1285–7.PubMedCrossRef Helleringer S, Kohler H-P, Kalilani-Phiri L. The association of HIV serodiscordance and partnership concurrency in Likoma Island, Malawi. AIDS. 2009;23(10):1285–7.PubMedCrossRef
29.
go back to reference UNAIDS. 2010 Report on the Global AIDS Epidemic. Geneva, UNAIDS; 2010. UNAIDS. 2010 Report on the Global AIDS Epidemic. Geneva, UNAIDS; 2010.
30.
go back to reference Clark AL, Wallin P. The accuracy of husbands’ and wives’ reports of the frequency of marital coitus. Pop Stud. 1964;18(2):165–73. Clark AL, Wallin P. The accuracy of husbands’ and wives’ reports of the frequency of marital coitus. Pop Stud. 1964;18(2):165–73.
31.
go back to reference Glynn JR, Dube A, Kayuni N, Floyd S, Molesworth A, Parrott F, French N, Crampin AC. Measuring concurrency: an empirical study of different methods in a large population-based survey and evaluation of the UNAIDS guidelines. AIDS. 2012;26(8):977–85.PubMedCrossRef Glynn JR, Dube A, Kayuni N, Floyd S, Molesworth A, Parrott F, French N, Crampin AC. Measuring concurrency: an empirical study of different methods in a large population-based survey and evaluation of the UNAIDS guidelines. AIDS. 2012;26(8):977–85.PubMedCrossRef
32.
go back to reference Eaton J. HIV: consensus indicators are needed for concurrency. Lancet. 2010;375:621–2.CrossRef Eaton J. HIV: consensus indicators are needed for concurrency. Lancet. 2010;375:621–2.CrossRef
33.
go back to reference Morris M, Epstein H, Wawer M. Timing is everything: international variations in historical sexual partnership concurrency and HIV prevalence. PLoS One. 2010;5(11):e14092.PubMedCrossRef Morris M, Epstein H, Wawer M. Timing is everything: international variations in historical sexual partnership concurrency and HIV prevalence. PLoS One. 2010;5(11):e14092.PubMedCrossRef
34.
go back to reference Sawers L. Measuring and modeling concurrency. J Int AIDS Soc. 2013;16(1):17431.PubMed Sawers L. Measuring and modeling concurrency. J Int AIDS Soc. 2013;16(1):17431.PubMed
35.
go back to reference Eaton J, McGrath N, Newell M-L. Unpacking the recommended indicator for concurrent sexual partnerships. AIDS. 2012;26(8):1037–9.PubMedCrossRef Eaton J, McGrath N, Newell M-L. Unpacking the recommended indicator for concurrent sexual partnerships. AIDS. 2012;26(8):1037–9.PubMedCrossRef
36.
go back to reference Epstein H. The invisible cure. New York: Farrar, Straus and Giroux; 2007. Epstein H. The invisible cure. New York: Farrar, Straus and Giroux; 2007.
37.
go back to reference Hudson CP. Concurrent partnerships could cause AIDS epidemics. Int J STD AIDS. 1993;4(5):249–53.PubMed Hudson CP. Concurrent partnerships could cause AIDS epidemics. Int J STD AIDS. 1993;4(5):249–53.PubMed
38.
go back to reference Watts CH, May RM. The influence of concurrent partnerships on the dynamics of HIV/AIDS. Math Biosci. 1992;108(1):89–104.PubMedCrossRef Watts CH, May RM. The influence of concurrent partnerships on the dynamics of HIV/AIDS. Math Biosci. 1992;108(1):89–104.PubMedCrossRef
39.
go back to reference Lurie MN, Rosenthal S. Concurrent partnerships as the driver of the HIV epidemic in sub-Saharan Africa? The evidence is limited. AIDS Behav. 2010;14(1):17–24.PubMedCrossRef Lurie MN, Rosenthal S. Concurrent partnerships as the driver of the HIV epidemic in sub-Saharan Africa? The evidence is limited. AIDS Behav. 2010;14(1):17–24.PubMedCrossRef
40.
go back to reference Sawers L, Stillwaggon E. Concurrent sexual partnerships do not explain the HIV epidemics in Africa: a systematic review of the evidence. J Int AIDS Soc. 2010;13(1):34.PubMedCrossRef Sawers L, Stillwaggon E. Concurrent sexual partnerships do not explain the HIV epidemics in Africa: a systematic review of the evidence. J Int AIDS Soc. 2010;13(1):34.PubMedCrossRef
41.
go back to reference Kretzschmar M, Caraël M. Is concurrency driving HIV transmission in sub-Saharan African sexual networks? the significance of sexual partnership typology. AIDS Behav. 2012;. doi:10.1007/s10461-012-0254-6.PubMed Kretzschmar M, Caraël M. Is concurrency driving HIV transmission in sub-Saharan African sexual networks? the significance of sexual partnership typology. AIDS Behav. 2012;. doi:10.​1007/​s10461-012-0254-6.PubMed
42.
go back to reference Blower SM, Boe C. Sex acts, sex partners, and sex budgets: implications for risk factor analysis and estimation of HIV transmission probabilities. J AIDS. 1993;6(12):1347–52. Blower SM, Boe C. Sex acts, sex partners, and sex budgets: implications for risk factor analysis and estimation of HIV transmission probabilities. J AIDS. 1993;6(12):1347–52.
43.
go back to reference Epstein H, Swidler A, Gray R, Reniers G, Parker W, Parkhurst J, Short R, Halperin D. Measuring concurrent partnerships. Lancet. 2010; 375(9729):1869; author reply 1870. Epstein H, Swidler A, Gray R, Reniers G, Parker W, Parkhurst J, Short R, Halperin D. Measuring concurrent partnerships. Lancet. 2010; 375(9729):1869; author reply 1870.
Metadata
Title
Partnership Concurrency and Coital Frequency
Authors
Lauren Gaydosh
Georges Reniers
Stéphane Helleringer
Publication date
01-09-2013
Publisher
Springer US
Published in
AIDS and Behavior / Issue 7/2013
Print ISSN: 1090-7165
Electronic ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-013-0525-x

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