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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
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.
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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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