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Household wealth and HIV incidence over time, rural Uganda, 1994–2018
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 relation...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373447/ https://www.ncbi.nlm.nih.gov/pubmed/34132219 http://dx.doi.org/10.1097/QAD.0000000000002989 |
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author | Santelli, John S. Chen, Ivy Makumbi, Fred Wei, Ying Nalugoda, Fred Lutalo, Tom Spindler, Esther Grilo, Stephanie A. Deisher, Andrea Grabowski, Katherine Hoffman, Susie Kagaayi, Joseph Chang, Larry W. Gray, Ronald Wawer, Maria Serwadda, David |
author_facet | Santelli, John S. Chen, Ivy Makumbi, Fred Wei, Ying Nalugoda, Fred Lutalo, Tom Spindler, Esther Grilo, Stephanie A. Deisher, Andrea Grabowski, Katherine Hoffman, Susie Kagaayi, Joseph Chang, Larry W. Gray, Ronald Wawer, Maria Serwadda, David |
author_sort | Santelli, John S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8373447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-83734472021-09-01 Household wealth and HIV incidence over time, rural Uganda, 1994–2018 Santelli, John S. Chen, Ivy Makumbi, Fred Wei, Ying Nalugoda, Fred Lutalo, Tom Spindler, Esther Grilo, Stephanie A. Deisher, Andrea Grabowski, Katherine Hoffman, Susie Kagaayi, Joseph Chang, Larry W. Gray, Ronald Wawer, Maria Serwadda, David AIDS Epidemiology and Social 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. Lippincott Williams & Wilkins 2021-09-01 2021-06-15 /pmc/articles/PMC8373447/ /pubmed/34132219 http://dx.doi.org/10.1097/QAD.0000000000002989 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Epidemiology and Social Santelli, John S. Chen, Ivy Makumbi, Fred Wei, Ying Nalugoda, Fred Lutalo, Tom Spindler, Esther Grilo, Stephanie A. Deisher, Andrea Grabowski, Katherine Hoffman, Susie Kagaayi, Joseph Chang, Larry W. Gray, Ronald Wawer, Maria Serwadda, David Household wealth and HIV incidence over time, rural Uganda, 1994–2018 |
title | Household wealth and HIV incidence over time, rural Uganda, 1994–2018 |
title_full | Household wealth and HIV incidence over time, rural Uganda, 1994–2018 |
title_fullStr | Household wealth and HIV incidence over time, rural Uganda, 1994–2018 |
title_full_unstemmed | Household wealth and HIV incidence over time, rural Uganda, 1994–2018 |
title_short | Household wealth and HIV incidence over time, rural Uganda, 1994–2018 |
title_sort | household wealth and hiv incidence over time, rural uganda, 1994–2018 |
topic | Epidemiology and Social |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373447/ https://www.ncbi.nlm.nih.gov/pubmed/34132219 http://dx.doi.org/10.1097/QAD.0000000000002989 |
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