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Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’
BACKGROUND: CKD of unknown etiology (CKDu) has been reported in several countries including India. We previously showed a prevalence of CKD in India to be 17.2% and we found a CKD epidemic in Andhra Pradesh (AP) to be 46.8%. We conducted this study to further explore the unexplained CKD epidemic in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580562/ https://www.ncbi.nlm.nih.gov/pubmed/33040645 http://dx.doi.org/10.1080/0886022X.2020.1824924 |
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author | Farag, Youssef M. K. Karai Subramanian, Kuyilan Singh, Vikrum A. Tatapudi, Ravi Raju Singh, Ajay K. |
author_facet | Farag, Youssef M. K. Karai Subramanian, Kuyilan Singh, Vikrum A. Tatapudi, Ravi Raju Singh, Ajay K. |
author_sort | Farag, Youssef M. K. |
collection | PubMed |
description | BACKGROUND: CKD of unknown etiology (CKDu) has been reported in several countries including India. We previously showed a prevalence of CKD in India to be 17.2% and we found a CKD epidemic in Andhra Pradesh (AP) to be 46.8%. We conducted this study to further explore the unexplained CKD epidemic in AP. METHODS: We recruited 1201 adult participants through systematic random sampling from eight administrative divisions. Demographic, medical, and detailed occupational history was collected. Anthropometric measurements and blood pressure were taken and blood and urine samples were collected. Poisson regression model was used to identify potential predictors for CKD. RESULTS: We analyzed data for 1184 individuals with mean age of 44.6 ± 14.0 years, of whom 44% were male. Prevalence of CKD was 32.2%. Working as a farmer had 20% more prevalence of CKD compared to non-farmers in the fully adjusted model (PR 1.2, 95% CI 1.01–1.42). Age, alcohol consumption, and chewing tobacco were also independent predictors of CKD. Gender, hypertension, and diabetes were not associated with CKD. CONCLUSIONS: The prevalence of CKD in AP is 32.2%. Occupational exposure among farmers could play a potential role in this epidemic. Large longitudinal epidemiologic research studies are needed to trace the causes of this problem. |
format | Online Article Text |
id | pubmed-7580562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-75805622020-10-29 Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’ Farag, Youssef M. K. Karai Subramanian, Kuyilan Singh, Vikrum A. Tatapudi, Ravi Raju Singh, Ajay K. Ren Fail Clinical Study BACKGROUND: CKD of unknown etiology (CKDu) has been reported in several countries including India. We previously showed a prevalence of CKD in India to be 17.2% and we found a CKD epidemic in Andhra Pradesh (AP) to be 46.8%. We conducted this study to further explore the unexplained CKD epidemic in AP. METHODS: We recruited 1201 adult participants through systematic random sampling from eight administrative divisions. Demographic, medical, and detailed occupational history was collected. Anthropometric measurements and blood pressure were taken and blood and urine samples were collected. Poisson regression model was used to identify potential predictors for CKD. RESULTS: We analyzed data for 1184 individuals with mean age of 44.6 ± 14.0 years, of whom 44% were male. Prevalence of CKD was 32.2%. Working as a farmer had 20% more prevalence of CKD compared to non-farmers in the fully adjusted model (PR 1.2, 95% CI 1.01–1.42). Age, alcohol consumption, and chewing tobacco were also independent predictors of CKD. Gender, hypertension, and diabetes were not associated with CKD. CONCLUSIONS: The prevalence of CKD in AP is 32.2%. Occupational exposure among farmers could play a potential role in this epidemic. Large longitudinal epidemiologic research studies are needed to trace the causes of this problem. Taylor & Francis 2020-10-12 /pmc/articles/PMC7580562/ /pubmed/33040645 http://dx.doi.org/10.1080/0886022X.2020.1824924 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Study Farag, Youssef M. K. Karai Subramanian, Kuyilan Singh, Vikrum A. Tatapudi, Ravi Raju Singh, Ajay K. Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’ |
title | Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’ |
title_full | Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’ |
title_fullStr | Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’ |
title_full_unstemmed | Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’ |
title_short | Occupational risk factors for chronic kidney disease in Andhra Pradesh: ‘Uddanam Nephropathy’ |
title_sort | occupational risk factors for chronic kidney disease in andhra pradesh: ‘uddanam nephropathy’ |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580562/ https://www.ncbi.nlm.nih.gov/pubmed/33040645 http://dx.doi.org/10.1080/0886022X.2020.1824924 |
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