期刊
AIDS
卷 35, 期 11, 页码 1835-1843出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/QAD.0000000000002989
关键词
AIDS; HIV incidence; socioeconomic status; sub-Saharan Africa; wealth
资金
- U.S. National Institute of Child Health and Human Development [R01HD091003]
The study found that from 1994 to 2018, the wealth gap in rural Uganda widened, with higher SES and lower SES showing significantly different trends in HIV incidence.
Objective: To examine the relationship between household wealth and HIV incidence in rural Uganda over time from 1994 to 2018. In research conducted early in the epidemic, greater wealth (i.e. higher socioeconomic status, SES) was associated with higher HIV prevalence in sub-Saharan Africa (SSA); this relationship reversed in some settings in later years. Design: Analysis of associations over time in a population-based open cohort of persons 15-49 years from 17 survey-rounds in 28 continuously followed communities of the Rakai Community Cohort Study (RCCS). Methods: The RCCS sample averaged 8622 individuals and 5387 households per round. Principal components analysis was used to create a nine-item asset-based measure of household wealth. Poisson regression with generalized estimating equation (GEE) and exchangeable correlation structure was used to estimate HIV incidence rate ratios (IRRs) by SES quartile, survey-round, sex, and age group. Results: From 1994 to 2018, SES rose considerably, and HIV incidence declined from 1.45 to 0.40 per 100 person-years (IRR = 0.39, 95% CI = 0.32--0.47, P < 0.001). HIV incidence was similar by SES category in the initial survey intervals (1994-1997); however, higher SES groups showed greater declines in HIV incidence over time. Multivariable analyses showed significant associations between HIV incidence and SES (IRR = 0.55 for highest compared with lowest quartile, 95% CI = 0.45--0.66, P < 0.001) controlling for time, sex, and age group. Conclusion: Beyond the early years of the RCCS, higher SES was associated with lower HIV incidence and SES gradients widened over time. The poor, like other key populations, should be targeted for HIV prevention, including treatment as prevention.
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