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Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study

Background: Extreme heat and heat illness are becoming very frequent in India. We aimed to identify the factors associated with heat illness and the coping practices among city dwellers of Odisha, India during the summer. Methods: A cross-sectional study included 766 households (HHs) in twin cities...

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Autores principales: Swain, Subhashisa, Bhattacharya, Shreeporna, Dutta, Ambarish, Pati, Sanghamitra, Nanda, Lipika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950623/
https://www.ncbi.nlm.nih.gov/pubmed/31842287
http://dx.doi.org/10.3390/ijerph16245065
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author Swain, Subhashisa
Bhattacharya, Shreeporna
Dutta, Ambarish
Pati, Sanghamitra
Nanda, Lipika
author_facet Swain, Subhashisa
Bhattacharya, Shreeporna
Dutta, Ambarish
Pati, Sanghamitra
Nanda, Lipika
author_sort Swain, Subhashisa
collection PubMed
description Background: Extreme heat and heat illness are becoming very frequent in India. We aimed to identify the factors associated with heat illness and the coping practices among city dwellers of Odisha, India during the summer. Methods: A cross-sectional study included 766 households (HHs) in twin cities of Odisha covering a population of 1099 (slum: 404 and non-slum: 695) in the year 2017. We collected information on sociodemographic, household characteristics, coping practices to heat and the heat illness history reported during the summer. Multivariate logistic regression accounting for clustering effects at the household and slum levels was used to identify the associated factors of heat illness after adjustment of other variables. Result: Nearly, 49% of the study participants were female and the mean age was 38.36 years (95% confidence interval (CI): 37.33–39.39 years). A significant difference of living environment was seen across the groups. More than two-thirds of the study participants at least once had heat illness. In the non-slum population, males (adjusted odds ratio (aOR): 3.56; 95% CI: 2.39–5.29), persons under medication (aOR: 3.09; 95% CI: 1.15–8.29), and chronic conditions had higher association with heat illness. Whereas, in the slum population, having a kitchen outside the home (aOR: 1.63; 95% CI: 1.02–3.96) and persons with chronic conditions were positively associated with heat illness. Use of cooling practices in slum areas reduced the risk of heat illness by 60%. Conclusion: Heat illness is associated with the living environment and physical health of the individuals. Identifying the vulnerable population and scaling up adaptive practices can strengthen the public health preparedness.
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spelling pubmed-69506232020-01-16 Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study Swain, Subhashisa Bhattacharya, Shreeporna Dutta, Ambarish Pati, Sanghamitra Nanda, Lipika Int J Environ Res Public Health Article Background: Extreme heat and heat illness are becoming very frequent in India. We aimed to identify the factors associated with heat illness and the coping practices among city dwellers of Odisha, India during the summer. Methods: A cross-sectional study included 766 households (HHs) in twin cities of Odisha covering a population of 1099 (slum: 404 and non-slum: 695) in the year 2017. We collected information on sociodemographic, household characteristics, coping practices to heat and the heat illness history reported during the summer. Multivariate logistic regression accounting for clustering effects at the household and slum levels was used to identify the associated factors of heat illness after adjustment of other variables. Result: Nearly, 49% of the study participants were female and the mean age was 38.36 years (95% confidence interval (CI): 37.33–39.39 years). A significant difference of living environment was seen across the groups. More than two-thirds of the study participants at least once had heat illness. In the non-slum population, males (adjusted odds ratio (aOR): 3.56; 95% CI: 2.39–5.29), persons under medication (aOR: 3.09; 95% CI: 1.15–8.29), and chronic conditions had higher association with heat illness. Whereas, in the slum population, having a kitchen outside the home (aOR: 1.63; 95% CI: 1.02–3.96) and persons with chronic conditions were positively associated with heat illness. Use of cooling practices in slum areas reduced the risk of heat illness by 60%. Conclusion: Heat illness is associated with the living environment and physical health of the individuals. Identifying the vulnerable population and scaling up adaptive practices can strengthen the public health preparedness. MDPI 2019-12-12 2019-12 /pmc/articles/PMC6950623/ /pubmed/31842287 http://dx.doi.org/10.3390/ijerph16245065 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Swain, Subhashisa
Bhattacharya, Shreeporna
Dutta, Ambarish
Pati, Sanghamitra
Nanda, Lipika
Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study
title Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study
title_full Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study
title_fullStr Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study
title_full_unstemmed Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study
title_short Vulnerability and Adaptation to Extreme Heat in Odisha, India: A Community Based Comparative Study
title_sort vulnerability and adaptation to extreme heat in odisha, india: a community based comparative study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950623/
https://www.ncbi.nlm.nih.gov/pubmed/31842287
http://dx.doi.org/10.3390/ijerph16245065
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