The role of partners’ educational attainment in the association between HIV and education amongst women in seven sub-Saharan African countries

Individuals’ educational attainment has long been considered as a risk factor for HIV. However, little attention has been paid to the association between partner educational attainment and HIV infection.

[1]  D. Iorio,et al.  Education, HIV Status and Risky Sexual Behavior: How Much Does the Stage of the HIV Epidemic Matter? , 2016 .

[2]  R. Dellar,et al.  Adolescent girls and young women: key populations for HIV epidemic control , 2015, Journal of the International AIDS Society.

[3]  M. Egger,et al.  Individual and spousal education, mortality and life expectancy in Switzerland: a national cohort study , 2014, Journal of Epidemiology & Community Health.

[4]  D. Cummings,et al.  The Role of Viral Introductions in Sustaining Community-Based HIV Epidemics in Rural Uganda: Evidence from Spatial Clustering, Phylogenetics, and Egocentric Transmission Models , 2014, PLoS medicine.

[5]  J. Zenilman,et al.  It Takes 2: Partner Attributes Associated With Sexually Transmitted Infections Among Adolescents , 2013, Sexually transmitted diseases.

[6]  Elizabeth Gummerson.  Have the educated changed HIV risk behaviours more in Africa? , 2013, African journal of AIDS research : AJAR.

[7]  C. Kenyon,et al.  Birds of a feather: homophily and sexual network structure in sub-Saharan Africa , 2013, International journal of STD & AIDS.

[8]  Elizabeth Gummerson.  From Predictive to Protective? Is the Relationship between HIV and Education Changing? , 2012 .

[9]  R. White,et al.  Does the ‘inverse equity hypothesis’ explain how both poverty and wealth can be associated with HIV prevalence in sub-Saharan Africa? , 2012, Journal of Epidemiology & Community Health.

[10]  M. Magadi.  The Disproportionate High Risk of HIV Infection Among the Urban Poor in Sub-Saharan Africa , 2012, AIDS and Behavior.

[11]  L. Howe,et al.  Changes over time in sexual behaviour among young people with different levels of educational attainment in Tanzania , 2012, Journal of the International AIDS Society.

[12]  W. Mcfarland,et al.  Improved measures of racial mixing among men who have sex with men using Newman's assortativity coefficient , 2011, Sexually Transmitted Infections.

[13]  M. Magadi,et al.  A multilevel analysis of the determinants and cross-national variations of HIV seropositivity in sub-Saharan Africa: Evidence from the DHS☆ , 2011, Health & place.

[14]  R. Kerani,et al.  Comprehensive Assessment of Sociodemographic and Behavioral Risk Factors for Mycoplasma genitalium Infection in Women , 2010, Sexually transmitted diseases.

[15]  Ashley M. Fox.  The Social Determinants of HIV Serostatus in Sub-Saharan Africa: An Inverse Relationship between Poverty and HIV? , 2010, Public health reports.

[16]  G. Kraaykamp,et al.  Education, educational heterogamy, and self-assessed health in Europe : A multilevel study of spousal effects in 29 European countries , 2010 .

[17]  L. Howe,et al.  Changes in HIV prevalence among differently educated groups in Tanzania between 2003 and 2007 , 2010, AIDS.

[18]  R. Erikson,et al.  Marital partner and mortality: the effects of the social positions of both spouses , 2009, Journal of Epidemiology & Community Health.

[19]  Irene A Doherty,et al.  Sexual Mixing Patterns and Heterosexual HIV Transmission Among African Americans in the Southeastern United States , 2009, Journal of acquired immune deficiency syndromes.

[20]  Hyunjoon Park,et al.  Five Decades of Educational Assortative Mating in 10 East Asian Societies , 2009 .

[21]  K. Fylkesnes,et al.  Effects of neighbourhood-level educational attainment on HIV prevalence among young women in Zambia , 2009, BMC public health.

[22]  T. Bärnighausen,et al.  Localized spatial clustering of HIV infections in a widely disseminated rural South African epidemic. , 2009, International journal of epidemiology.

[23]  D. Bundy,et al.  Education and vulnerability: the role of schools in protecting young women and girls from HIV in southern Africa , 2008, AIDS.

[24]  David Wilson,et al.  “Know your epidemic, know your response”: a useful approach, if we get it right , 2008, The Lancet.

[25]  J. Klausner,et al.  Reassessing HIV Prevention , 2008, Science.

[26]  Jane G. Fortson.  The gradient in sub-saharan Africa: Socioeconomic status and HIV/AIDS , 2008, Demography.

[27]  A. Kunst,et al.  Effects of spouses' socioeconomic characteristics on mortality among men and women in a Norwegian longitudinal study. , 2008, Social science & medicine.

[28]  S. Gabrysch,et al.  The role of context: neighbourhood characteristics strongly influence HIV risk in young women in Ndola, Zambia , 2008, Tropical medicine & international health : TM & IH.

[29]  A. Fletcher,et al.  Systematic review exploring time trends in the association between educational attainment and risk of HIV infection in sub-Saharan Africa , 2008, AIDS.

[30]  P. Ghys,et al.  HIV infection does not disproportionately affect the poorer in sub-Saharan Africa , 2007, AIDS.

[31]  T. Bärnighausen,et al.  The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa , 2007, AIDS.

[32]  C. Watts,et al.  Explaining continued high HIV prevalence in South Africa: socioeconomic factors, HIV incidence and sexual behaviour change among a rural cohort, 2001–2004 , 2007, AIDS.

[33]  S. Helleringer,et al.  Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi , 2007, AIDS.

[34]  Stuart Gillespie,et al.  Is poverty or wealth driving HIV transmission? , 2007, AIDS.

[35]  Ann Swidler,et al.  Ties of dependence: AIDS and transactional sex in rural Malawi. , 2006, Studies in family planning.

[36]  R. Jewkes,et al.  Factors associated with HIV sero-status in young rural South African women: connections between intimate partner violence and HIV. , 2006, International journal of epidemiology.

[37]  A. Cross,et al.  HIV testing in national population-based surveys: experience from the Demographic and Health Surveys. , 2006, Bulletin of the World Health Organization.

[38]  O. Manor,et al.  Effects of husbands' and wives' education on each other's mortality. , 2006, Social science & medicine.

[39]  J. Whitworth,et al.  Changing association between schooling levels and HIV‐1 infection over 11 years in a rural population cohort in south‐west Uganda , 2005, Tropical medicine & international health : TM & IH.

[40]  Adaora A Adimora,et al.  Social context, sexual networks, and racial disparities in rates of sexually transmitted infections. , 2005, The Journal of infectious diseases.

[41]  R. Jewkes,et al.  Transactional sex among women in Soweto, South Africa: prevalence, risk factors and association with HIV infection. , 2004, Social science & medicine.

[42]  G. Kraaykamp,et al.  Partner's and own education: does who you live with matter for self-assessed health, smoking and excessive alcohol consumption? , 2003, Social science & medicine.

[43]  S. Gregson,et al.  Understanding the Uneven Spread of HIV Within Africa: Comparative Study of Biologic, Behavioral, and Contextual Factors in Rural Populations in Tanzania and Zimbabwe , 2003, Sexually transmitted diseases.

[44]  M. Newman,et al.  Mixing patterns in networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[45]  G. Egeland,et al.  A man's heart and a wife's education: a 12-year coronary heart disease mortality follow-up in Norwegian men. , 2002, International journal of epidemiology.

[46]  J. Hargreaves,et al.  Educational attainment and HIV‐1 infection in developing countries: a systematic review , 2002, Tropical medicine & international health : TM & IH.

[47]  K. Holmes,et al.  Sexual mixing patterns in the spread of gonococcal and chlamydial infections. , 1999, American journal of public health.

[48]  E. Laumann,et al.  Racial/ethnic group differences in the prevalence of sexually transmitted diseases in the United States: a network explanation. , 1999, Sexually transmitted diseases.

[49]  J. Lammers,et al.  Educational Homogamy in 65 Countries: An Explanation of Differences in Openness Using Country-Level Explanatory Variables , 1998 .

[50]  R. Mare.  Five decades of educational assortative mating. , 1991 .

[51]  H. Kohler,et al.  Marriage as a Mechanism: Women's Education and Wealth in Malawi , 2012 .

[52]  D. Walque.  Does education affect HIV status? Evidence from five African countries , 2009 .

[53]  R. McCaa,et al.  Assortative Mating Patterns in the Developing World , 2008 .

[54]  J. House,et al.  Making Americans Healthier: Social and Economic Policy as Health Policy , 2008 .

[55]  J. Wojcicki.  Socioeconomic status as a risk factor for HIV infection in women in East, Central and Southern Africa: a systematic review. , 2005, Journal of biosocial science.

[56]  A. Quisumbing,et al.  Marriage in transition: Evidence on age, education, and assets from six developing countries , 2003 .

[57]  Wilson C. K. Poon,et al.  Phase behavior and crystallization kinetics of PHSA-coated PMMA colloids , 2003 .

[58]  Guidelines for second generation HIV Surveillance , 2000 .

[59]  Joint United Nations Programme on HIV/AIDS (UNAIDS)-WHO. Revised recommendations for the selection and use of HIV antibody tests. , 1997, Releve epidemiologique hebdomadaire.