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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...

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Autores principales: Farag, Youssef M. K., Karai Subramanian, Kuyilan, Singh, Vikrum A., Tatapudi, Ravi Raju, Singh, Ajay K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
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.
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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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