Literature DB >> 26551532

Does marital status matter in an HIV hyperendemic country? Findings from the 2012 South African National HIV Prevalence, Incidence and Behaviour Survey.

Olive Shisana1,2, Kathryn Risher3, David D Celentano3, Nompumelelo Zungu1, Thomas Rehle4,5, Busani Ngcaweni6, Meredith G B Evans1.   

Abstract

South Africa has experienced declining marriage rates and the increasing practice of cohabitation without marriage. This study aims to improve the understanding of the relationship between marital status and HIV in South Africa, an HIV hyperendemic country, through an analysis of findings from the 2012 South African National HIV Prevalence, Incidence and Behaviour Survey. The nationally representative population-based cross-sectional survey collected data on HIV and socio-demographic and behavioural determinants in South Africa. This analysis considered respondents aged 16 years and older who consented to participate in the survey and provided dried blood spot specimens for HIV testing (N = 17,356). After controlling for age, race, having multiple sexual partners, condom use at last sex, urban/rural dwelling and level of household income, those who were married living with their spouse had significantly reduced odds of being HIV-positive compared to all other marital spouses groups. HIV incidence was 0.27% among respondents who were married living with their spouses; the highest HIV incidence was found in the cohabiting group (2.91%). Later marriage (after age 24) was associated with increased odds of HIV prevalence. Our analysis suggests an association between marital status and HIV prevalence and incidence in contemporary South Africa, where odds of being HIV-positive were found to be lower among married individuals who lived with their spouses compared to all other marital status groups. HIV prevention messages therefore need to be targeted to unmarried populations, especially cohabitating populations. As low socio-economic status, low social cohesion and the resulting destabilization of sexual relationships may explain the increased risk of HIV among unmarried populations, it is necessary to address structural issues including poverty that create an environment unfavourable to stable sexual relationships.

Entities:  

Keywords:  HIV incidence; HIV prevalence; HIV risk; South Africa; marital status

Mesh:

Year:  2015        PMID: 26551532      PMCID: PMC5146982          DOI: 10.1080/09540121.2015.1080790

Source DB:  PubMed          Journal:  AIDS Care        ISSN: 0954-0121


  31 in total

1.  The HIV-poverty thesis re-examined: poverty, wealth or inequality as a social determinant of HIV infection in sub-Saharan Africa?

Authors:  Ashley M Fox
Journal:  J Biosoc Sci       Date:  2012-01-25

2.  Early marriage and HIV risks in sub-Saharan Africa.

Authors:  Shelley Clark
Journal:  Stud Fam Plann       Date:  2004-09

3.  Marriage and the risk of incident HIV infection in Rakai, Uganda.

Authors:  Fred Nalugoda; David Guwatudde; John B Bwaninka; Fredrick E Makumbi; Tom Lutalo; Joseph Kagaayi; Nelson K Sewankambo; Godfrey Kigozi; David M Serwadda; Xiangrong Kong; Maria J Wawer; Fred Wabwire-Mangen; Ronald H Gray
Journal:  J Acquir Immune Defic Syndr       Date:  2014-01-01       Impact factor: 3.731

4.  Why do young women have a much higher prevalence of HIV than young men? A study in Kisumu, Kenya and Ndola, Zambia.

Authors:  J R Glynn; M Caraël; B Auvert; M Kahindo; J Chege; R Musonda; F Kaona; A Buvé
Journal:  AIDS       Date:  2001-08       Impact factor: 4.177

5.  Protecting young women from HIV/AIDS: the case against child and adolescent marriage.

Authors:  Shelley Clark; Judith Bruce; Annie Dude
Journal:  Int Fam Plan Perspect       Date:  2006-06

6.  Cohabitation, marriage, and 'sexual monogamy' in Nairobi's slums.

Authors:  Megan Klein Hattori; F Nii-Amoo Dodoo
Journal:  Soc Sci Med       Date:  2006-11-22       Impact factor: 4.634

7.  New heterosexually transmitted HIV infections in married or cohabiting couples in urban Zambia and Rwanda: an analysis of survey and clinical data.

Authors:  Kristin L Dunkle; Rob Stephenson; Etienne Karita; Elwyn Chomba; Kayitesi Kayitenkore; Cheswa Vwalika; Lauren Greenberg; Susan Allen
Journal:  Lancet       Date:  2008-06-28       Impact factor: 79.321

8.  Social determinants for HIV prevalence among South African educators.

Authors:  N Zungu-Dirwayi; O Shisana; J Louw; P Dana
Journal:  AIDS Care       Date:  2007-11

9.  Mobility, sexual behavior, and HIV infection in an urban population in Cameroon.

Authors:  Nathalie Lydié; Noah J Robinson; Benoît Ferry; Evina Akam; Myriam De Loenzien; Severin Abega
Journal:  J Acquir Immune Defic Syndr       Date:  2004-01-01       Impact factor: 3.731

10.  The impact of migration on HIV-1 transmission in South Africa: a study of migrant and nonmigrant men and their partners.

Authors:  Mark N Lurie; Brian G Williams; Khangelani Zuma; David Mkaya-Mwamburi; Geoff Garnett; Adriaan W Sturm; Michael D Sweat; Joel Gittelsohn; Salim S Abdool Karim
Journal:  Sex Transm Dis       Date:  2003-02       Impact factor: 2.830

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  19 in total

Review 1.  Social determinants of adult sex ratios and racial/ethnic disparities in transmission of HIV and other sexually transmitted infections in the USA.

Authors:  Enrique Rodriguez Pouget
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-09-19       Impact factor: 6.237

2.  Sexual Partner Types and Incident HIV Infection Among Rural South African Adolescent Girls and Young Women Enrolled in HPTN 068: A Latent Class Analysis.

Authors:  Nadia Nguyen; Kimberly A Powers; William C Miller; Annie Green Howard; Carolyn T Halpern; James P Hughes; Jing Wang; Rhian Twine; F Xavier Gomez-Olive; Catherine MacPhail; Kathleen Kahn; Audrey E Pettifor
Journal:  J Acquir Immune Defic Syndr       Date:  2019-09-01       Impact factor: 3.731

3.  Do Sexual Partners Talk to Each Other About HIV? Exploring Factors Associated with HIV-Related Partner Communication Among Men and Women in Tanzania.

Authors:  Virginia A Fonner; Jessie Mbwambo; Caitlin E Kennedy; Deanna Kerrigan; Michael D Sweat
Journal:  AIDS Behav       Date:  2020-03

4.  Women diagnosed with HIV and unknown HIV status perceived susceptibility to cervical cancer and perceived benefits of cervical cancer screening in Ghana: a cross-sectional study.

Authors:  Nancy Innocentia Ebu Enyan; Selorm Akaba; Sarah Ama Amoo
Journal:  BMC Womens Health       Date:  2021-10-17       Impact factor: 2.809

5.  Substance Use and the Number of Male Sex Partners by African American and Puerto Rican Women.

Authors:  Jung Yeon Lee; Judith S Brook; Kerstin Pahl; David W Brook
Journal:  J Community Health Res       Date:  2017

Review 6.  Long-acting approaches for delivery of antiretroviral drugs for prevention and treatment of HIV: a review of recent research.

Authors:  Denise A Cobb; Nathan A Smith; Benson J Edagwa; JoEllyn M McMillan
Journal:  Expert Opin Drug Deliv       Date:  2020-07-06       Impact factor: 6.648

7.  Forced sexual intercourse and its association with HIV status among people attending HIV Voluntary Counseling and Testing in a healthcare center in Kinshasa (DRC).

Authors:  Eduardo Burgueño; Silvia Carlos; Cristina Lopez-Del Burgo; Alfonso Osorio; Maria Stozek; Adolphe Ndarabu; Philémon Muamba; Philomene Tshisuaka; Jokin De Irala
Journal:  PLoS One       Date:  2017-12-18       Impact factor: 3.240

8.  Creating HIV risk profiles for men in South Africa: a latent class approach using cross-sectional survey data.

Authors:  Ann Gottert; Julie Pulerwitz; Craig J Heck; Cherie Cawood; Sanyukta Mathur
Journal:  J Int AIDS Soc       Date:  2020-06       Impact factor: 5.396

9.  Clustering of HIV Patients in Ethiopia.

Authors:  Wondimu Biressaw; Habtamu Tilaye; Dessie Melese
Journal:  HIV AIDS (Auckl)       Date:  2021-05-25

10.  HIV testing criteria to reduce testing volume and increase positivity in Botswana.

Authors:  Emily Rowlinson; Shreshth Mawandia; Jenny Ledikwe; Odirile Bakae; Lenna Tau; Matias Grande; Laura Seckel; Goabaone Pankie Mogomotsi; Esther Mmatli; Modise Ngombo; Tebogo Norman; Matthew R Golden
Journal:  AIDS       Date:  2021-10-01       Impact factor: 4.632

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