Article

Exploring the connections between HIV serostatus and individual, household, and community socioeconomic resources: evidence from two population-based surveys in Kenya.

Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Social Science [?] Medicine (impact factor: 2.7). 11/2011; 74(2):185-95. DOI:10.1016/j.socscimed.2011.10.019 pp.185-95
Source: PubMed

ABSTRACT The positive association between health and socioeconomic status (SES) is well documented. However, available empirical evidence on the SES gradients of HIV serostatus is mixed, and few studies have explored the effects of community SES indicators on individual's HIV risk. Using nationally representative data of women and men from the 2003 Demographic and Health Survey and the 2007 AIDS Indicator Survey from Kenya, we assessed the associations between HIV serostatus and SES as measured by educational attainment and household wealth at the individual/household and community levels. Additionally, we explored changes in these associations between 2003 and 2007. Results from bivariate and cohort analyses showed that during this period, HIV burden shifted from higher to lower SES subgroups at both the individual/household and community levels, particularly among women aged 15-24 years. Results from multi-level logistic regression models showed that this shift was generally significant among women. In addition, communities' collective educational attainment, measured as the percentage of residents with some secondary schooling or higher, was a more significant predictor and protective factor for HIV risk than individual/household-level SES indicators for women in 2007 and men in both years. Our findings highlight the relevance of community-level SES to HIV dynamics in Kenya between 2003 and 2007.

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Keywords

2007 AIDS Indicator Survey
 
available empirical evidence
 
cohort analyses
 
communities' collective educational attainment
 
community levels
 
community SES indicators
 
community-level SES
 
educational attainment
 
Health Survey
 
HIV dynamics
 
HIV serostatus
 
household wealth
 
individual's HIV risk
 
individual/household-level SES indicators
 
lower SES subgroups
 
multi-level logistic regression models
 
protective factor
 
secondary schooling
 
SES gradients
 
significant predictor