Cargando…
Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India
BACKGROUND & OBJECTIVES: Chronic kidney disease (CKD) is one of the leading causes of mortality in developing countries, however, evidence from some geographical areas of India is scantly available on its risk factors. Other than diabetes and hypertension, several personal and environmental fact...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715704/ https://www.ncbi.nlm.nih.gov/pubmed/34782534 http://dx.doi.org/10.4103/ijmr.IJMR_2148_18 |
_version_ | 1784624182458318848 |
---|---|
author | Palo, Subrata Kumar Swain, Subhasisha Chowdhury, Sayantan Pati, Sanghamitra |
author_facet | Palo, Subrata Kumar Swain, Subhasisha Chowdhury, Sayantan Pati, Sanghamitra |
author_sort | Palo, Subrata Kumar |
collection | PubMed |
description | BACKGROUND & OBJECTIVES: Chronic kidney disease (CKD) is one of the leading causes of mortality in developing countries, however, evidence from some geographical areas of India is scantly available on its risk factors. Other than diabetes and hypertension, several personal and environmental factors are also associated with CKD. METHODS: A population-based case–control study was conducted over a period of 12 months in two high CKD reporting districts of Odisha, India. A total of 236 participants, 1:2 age- and sex-matched cases (83):controls (153), were included. Various factors were modelled with univariate and multivariable conditional logistic regression and analyzed using the Bayesian method in STATA SE v.12. RESULTS: Among the study cases, about 81 per cent were male and about 25 per cent were aged <40 yr. CKD-associated risk factors were hypertension for more than five years [adjusted odds ratio (aOR)=4.24; 95% credible interval: 1.23-10.05], scheduled tribe/caste (aOR=2.81; 1.09-5.95), use of tube well/bore well water for drinking (aOR=1.21; 1.02-1.43), consumption of locally made alcohol (aOR=1.09; 1.02-1.17) and eating red meat and vegetarian diet with (aOR=1.24; 1.12-1.39) and (aOR=1.09; 1.04-1.14), respectively. INTERPRETATION & CONCLUSIONS: The presence of CKD among younger age groups and association of multiple factors including personal and environmental suggest for more research to establish the cause and effect relation of these factors. |
format | Online Article Text |
id | pubmed-8715704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-87157042022-01-14 Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India Palo, Subrata Kumar Swain, Subhasisha Chowdhury, Sayantan Pati, Sanghamitra Indian J Med Res Original Article BACKGROUND & OBJECTIVES: Chronic kidney disease (CKD) is one of the leading causes of mortality in developing countries, however, evidence from some geographical areas of India is scantly available on its risk factors. Other than diabetes and hypertension, several personal and environmental factors are also associated with CKD. METHODS: A population-based case–control study was conducted over a period of 12 months in two high CKD reporting districts of Odisha, India. A total of 236 participants, 1:2 age- and sex-matched cases (83):controls (153), were included. Various factors were modelled with univariate and multivariable conditional logistic regression and analyzed using the Bayesian method in STATA SE v.12. RESULTS: Among the study cases, about 81 per cent were male and about 25 per cent were aged <40 yr. CKD-associated risk factors were hypertension for more than five years [adjusted odds ratio (aOR)=4.24; 95% credible interval: 1.23-10.05], scheduled tribe/caste (aOR=2.81; 1.09-5.95), use of tube well/bore well water for drinking (aOR=1.21; 1.02-1.43), consumption of locally made alcohol (aOR=1.09; 1.02-1.17) and eating red meat and vegetarian diet with (aOR=1.24; 1.12-1.39) and (aOR=1.09; 1.04-1.14), respectively. INTERPRETATION & CONCLUSIONS: The presence of CKD among younger age groups and association of multiple factors including personal and environmental suggest for more research to establish the cause and effect relation of these factors. Wolters Kluwer - Medknow 2021-07 /pmc/articles/PMC8715704/ /pubmed/34782534 http://dx.doi.org/10.4103/ijmr.IJMR_2148_18 Text en Copyright: © 2021 Indian Journal of Medical Research https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Palo, Subrata Kumar Swain, Subhasisha Chowdhury, Sayantan Pati, Sanghamitra Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India |
title | Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India |
title_full | Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India |
title_fullStr | Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India |
title_full_unstemmed | Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India |
title_short | Epidemiology & attributing factors for chronic kidney disease: Finding from a case–control study in Odisha, India |
title_sort | epidemiology & attributing factors for chronic kidney disease: finding from a case–control study in odisha, india |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715704/ https://www.ncbi.nlm.nih.gov/pubmed/34782534 http://dx.doi.org/10.4103/ijmr.IJMR_2148_18 |
work_keys_str_mv | AT palosubratakumar epidemiologyattributingfactorsforchronickidneydiseasefindingfromacasecontrolstudyinodishaindia AT swainsubhasisha epidemiologyattributingfactorsforchronickidneydiseasefindingfromacasecontrolstudyinodishaindia AT chowdhurysayantan epidemiologyattributingfactorsforchronickidneydiseasefindingfromacasecontrolstudyinodishaindia AT patisanghamitra epidemiologyattributingfactorsforchronickidneydiseasefindingfromacasecontrolstudyinodishaindia |