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HIV incidence from the first population-based cohort study in India

BACKGROUND: Understanding about who acquires new HIV infection and the determinants of why some persons get infected and others do not is fundamental to controlling HIV in the population. We assess HIV incidence and its associations in the population of a high HIV burden district in Andhra Pradesh s...

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Autores principales: Dandona, Lalit, Kumar, G Anil, Lakshmi, Vemu, Ahmed, G Md Mushtaq, Akbar, Mohammed, Ramgopal, Sri P, Sudha, Talasila, Alary, Michel, Dandona, Rakhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3722086/
https://www.ncbi.nlm.nih.gov/pubmed/23865751
http://dx.doi.org/10.1186/1471-2334-13-327
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author Dandona, Lalit
Kumar, G Anil
Lakshmi, Vemu
Ahmed, G Md Mushtaq
Akbar, Mohammed
Ramgopal, Sri P
Sudha, Talasila
Alary, Michel
Dandona, Rakhi
author_facet Dandona, Lalit
Kumar, G Anil
Lakshmi, Vemu
Ahmed, G Md Mushtaq
Akbar, Mohammed
Ramgopal, Sri P
Sudha, Talasila
Alary, Michel
Dandona, Rakhi
author_sort Dandona, Lalit
collection PubMed
description BACKGROUND: Understanding about who acquires new HIV infection and the determinants of why some persons get infected and others do not is fundamental to controlling HIV in the population. We assess HIV incidence and its associations in the population of a high HIV burden district in Andhra Pradesh state in southern India by a population-based longitudinal cohort study. METHODS: We re-surveyed a population-based cohort of 12,617 adults in Guntur district of Andhra Pradesh for which we had reported a baseline HIV prevalence of 1.72% (rural 1.64%, urban 1.89%) among the 15–49 years age group in 2004–2005. We conducted interviews to assess risk behaviour and performed HIV testing again in 2010–2011. We assessed the rate of new HIV infection and its associations using multiple logistic regression. RESULTS: The participation rate in the follow-up was 74.9% and 63.9% of the baseline rural and urban samples, respectively. Over a mean follow-up of 5.63 years, the incidence of HIV was 1.26 per 1000 person-years (95% CI 0.83-1.69), after adjusting for slight compositional bias in the follow-up sample. The incidence per 1000 person-years was higher among rural men (1.68) than urban men (0.85), and among rural women (1.28) than urban women (0.54). The strongest association with incidence was a HIV positive spouse in the baseline for both men (odds ratio 266, 95% CI 62–1137) and women (odds ratio 28, 95% CI 9–88). Among men the other significant associations with HIV incidence were frequent use of condom for sex over the past 6 months, non-circumcision, more than one lifetime woman sex partner or ever visited sex worker, and transport-related occupation; for women the other significant associations were having had HIV testing other than antenatal check-up, previously married but currently not, and tobacco use. CONCLUSION: These first population-based cohort incidence data from India suggest that rural areas of high HIV burden states would need more attention to prevent new HIV infections, and that spouses of HIV positive persons and some other risk groups need to be targeted more effectively by HIV prevention programmes.
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spelling pubmed-37220862013-07-25 HIV incidence from the first population-based cohort study in India Dandona, Lalit Kumar, G Anil Lakshmi, Vemu Ahmed, G Md Mushtaq Akbar, Mohammed Ramgopal, Sri P Sudha, Talasila Alary, Michel Dandona, Rakhi BMC Infect Dis Research Article BACKGROUND: Understanding about who acquires new HIV infection and the determinants of why some persons get infected and others do not is fundamental to controlling HIV in the population. We assess HIV incidence and its associations in the population of a high HIV burden district in Andhra Pradesh state in southern India by a population-based longitudinal cohort study. METHODS: We re-surveyed a population-based cohort of 12,617 adults in Guntur district of Andhra Pradesh for which we had reported a baseline HIV prevalence of 1.72% (rural 1.64%, urban 1.89%) among the 15–49 years age group in 2004–2005. We conducted interviews to assess risk behaviour and performed HIV testing again in 2010–2011. We assessed the rate of new HIV infection and its associations using multiple logistic regression. RESULTS: The participation rate in the follow-up was 74.9% and 63.9% of the baseline rural and urban samples, respectively. Over a mean follow-up of 5.63 years, the incidence of HIV was 1.26 per 1000 person-years (95% CI 0.83-1.69), after adjusting for slight compositional bias in the follow-up sample. The incidence per 1000 person-years was higher among rural men (1.68) than urban men (0.85), and among rural women (1.28) than urban women (0.54). The strongest association with incidence was a HIV positive spouse in the baseline for both men (odds ratio 266, 95% CI 62–1137) and women (odds ratio 28, 95% CI 9–88). Among men the other significant associations with HIV incidence were frequent use of condom for sex over the past 6 months, non-circumcision, more than one lifetime woman sex partner or ever visited sex worker, and transport-related occupation; for women the other significant associations were having had HIV testing other than antenatal check-up, previously married but currently not, and tobacco use. CONCLUSION: These first population-based cohort incidence data from India suggest that rural areas of high HIV burden states would need more attention to prevent new HIV infections, and that spouses of HIV positive persons and some other risk groups need to be targeted more effectively by HIV prevention programmes. BioMed Central 2013-07-17 /pmc/articles/PMC3722086/ /pubmed/23865751 http://dx.doi.org/10.1186/1471-2334-13-327 Text en Copyright © 2013 Dandona et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dandona, Lalit
Kumar, G Anil
Lakshmi, Vemu
Ahmed, G Md Mushtaq
Akbar, Mohammed
Ramgopal, Sri P
Sudha, Talasila
Alary, Michel
Dandona, Rakhi
HIV incidence from the first population-based cohort study in India
title HIV incidence from the first population-based cohort study in India
title_full HIV incidence from the first population-based cohort study in India
title_fullStr HIV incidence from the first population-based cohort study in India
title_full_unstemmed HIV incidence from the first population-based cohort study in India
title_short HIV incidence from the first population-based cohort study in India
title_sort hiv incidence from the first population-based cohort study in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3722086/
https://www.ncbi.nlm.nih.gov/pubmed/23865751
http://dx.doi.org/10.1186/1471-2334-13-327
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