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Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020
BACKGROUND: Cardiovascular diseases (CVDs), the leading cause of death worldwide, are sensitive to temperature. In light of the reported climate change trends, it is important to understand the burden of CVDs attributable to temperature, both hot and cold. The association between CVDs and temperatur...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909923/ https://www.ncbi.nlm.nih.gov/pubmed/36755271 http://dx.doi.org/10.1186/s12889-023-15128-6 |
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author | Shrikhande, Shreya S. Pedder, Hugo Röösli, Martin Dalvie, Mohammad Aqiel Lakshmanasamy, Ravivarman Gasparrini, Antonio Utzinger, Jürg Cissé, Guéladio |
author_facet | Shrikhande, Shreya S. Pedder, Hugo Röösli, Martin Dalvie, Mohammad Aqiel Lakshmanasamy, Ravivarman Gasparrini, Antonio Utzinger, Jürg Cissé, Guéladio |
author_sort | Shrikhande, Shreya S. |
collection | PubMed |
description | BACKGROUND: Cardiovascular diseases (CVDs), the leading cause of death worldwide, are sensitive to temperature. In light of the reported climate change trends, it is important to understand the burden of CVDs attributable to temperature, both hot and cold. The association between CVDs and temperature is region-specific, with relatively few studies focusing on low-and middle-income countries. This study investigates this association in Puducherry, a district in southern India lying on the Bay of Bengal, for the first time. METHODS: Using in-hospital CVD mortality data and climate data from the Indian Meteorological Department, we analyzed the association between apparent temperature (T(app)) and in-hospital CVD mortalities in Puducherry between 2011 and 2020. We used a case-crossover model with a binomial likelihood distribution combined with a distributed lag non-linear model to capture the delayed and non-linear trends over a 21-day lag period to identify the optimal temperature range for Puducherry. The results are expressed as the fraction of CVD mortalities attributable to heat and cold, defined relative to the optimal temperature. We also performed stratified analyses to explore the associations between T(app) and age-and-sex, grouped and considered together, and different types of CVDs. Sensitivity analyses were performed, including using a quasi-Poisson time-series approach. RESULTS: We found that the optimal temperature range for Puducherry is between 30°C and 36°C with respect to CVDs. Both cold and hot non-optimal T(app) were associated with an increased risk of overall in-hospital CVD mortalities, resulting in a U-shaped association curve. Cumulatively, up to 17% of the CVD deaths could be attributable to non-optimal temperatures, with a slightly higher burden attributable to heat (9.1%) than cold (8.3%). We also found that males were more vulnerable to colder temperature; females above 60 years were more vulnerable to heat while females below 60 years were affected by both heat and cold. Mortality with cerebrovascular accidents was associated more with heat compared to cold, while ischemic heart diseases did not seem to be affected by temperature. CONCLUSION: Both heat and cold contribute to the burden of CVDs attributable to non-optimal temperatures in the tropical Puducherry. Our study also identified the age-and-sex and CVD type differences in temperature attributable CVD mortalities. Further studies from India could identify regional associations, inform our understanding of the health implications of climate change in India and enhance the development of regional and contextual climate-health action-plans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15128-6. |
format | Online Article Text |
id | pubmed-9909923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99099232023-02-10 Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 Shrikhande, Shreya S. Pedder, Hugo Röösli, Martin Dalvie, Mohammad Aqiel Lakshmanasamy, Ravivarman Gasparrini, Antonio Utzinger, Jürg Cissé, Guéladio BMC Public Health Research BACKGROUND: Cardiovascular diseases (CVDs), the leading cause of death worldwide, are sensitive to temperature. In light of the reported climate change trends, it is important to understand the burden of CVDs attributable to temperature, both hot and cold. The association between CVDs and temperature is region-specific, with relatively few studies focusing on low-and middle-income countries. This study investigates this association in Puducherry, a district in southern India lying on the Bay of Bengal, for the first time. METHODS: Using in-hospital CVD mortality data and climate data from the Indian Meteorological Department, we analyzed the association between apparent temperature (T(app)) and in-hospital CVD mortalities in Puducherry between 2011 and 2020. We used a case-crossover model with a binomial likelihood distribution combined with a distributed lag non-linear model to capture the delayed and non-linear trends over a 21-day lag period to identify the optimal temperature range for Puducherry. The results are expressed as the fraction of CVD mortalities attributable to heat and cold, defined relative to the optimal temperature. We also performed stratified analyses to explore the associations between T(app) and age-and-sex, grouped and considered together, and different types of CVDs. Sensitivity analyses were performed, including using a quasi-Poisson time-series approach. RESULTS: We found that the optimal temperature range for Puducherry is between 30°C and 36°C with respect to CVDs. Both cold and hot non-optimal T(app) were associated with an increased risk of overall in-hospital CVD mortalities, resulting in a U-shaped association curve. Cumulatively, up to 17% of the CVD deaths could be attributable to non-optimal temperatures, with a slightly higher burden attributable to heat (9.1%) than cold (8.3%). We also found that males were more vulnerable to colder temperature; females above 60 years were more vulnerable to heat while females below 60 years were affected by both heat and cold. Mortality with cerebrovascular accidents was associated more with heat compared to cold, while ischemic heart diseases did not seem to be affected by temperature. CONCLUSION: Both heat and cold contribute to the burden of CVDs attributable to non-optimal temperatures in the tropical Puducherry. Our study also identified the age-and-sex and CVD type differences in temperature attributable CVD mortalities. Further studies from India could identify regional associations, inform our understanding of the health implications of climate change in India and enhance the development of regional and contextual climate-health action-plans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15128-6. BioMed Central 2023-02-08 /pmc/articles/PMC9909923/ /pubmed/36755271 http://dx.doi.org/10.1186/s12889-023-15128-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Shrikhande, Shreya S. Pedder, Hugo Röösli, Martin Dalvie, Mohammad Aqiel Lakshmanasamy, Ravivarman Gasparrini, Antonio Utzinger, Jürg Cissé, Guéladio Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 |
title | Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 |
title_full | Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 |
title_fullStr | Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 |
title_full_unstemmed | Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 |
title_short | Non-optimal apparent temperature and cardiovascular mortality: the association in Puducherry, India between 2011 and 2020 |
title_sort | non-optimal apparent temperature and cardiovascular mortality: the association in puducherry, india between 2011 and 2020 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909923/ https://www.ncbi.nlm.nih.gov/pubmed/36755271 http://dx.doi.org/10.1186/s12889-023-15128-6 |
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