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Future temperature-related excess mortality under climate change and population aging scenarios in Canada

OBJECTIVE: Climate change is expected to increase global temperatures. How temperature-related mortality risk will change is not completely understood, and how future demographic changes will affect temperature-related mortality needs to be clarified. We evaluate temperature-related mortality across...

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Autores principales: Hebbern, Christopher, Gosselin, Pierre, Chen, Kai, Chen, Hong, Cakmak, Sabit, MacDonald, Melissa, Chagnon, Jonathan, Dion, Patrice, Martel, Laurent, Lavigne, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484859/
https://www.ncbi.nlm.nih.gov/pubmed/37308698
http://dx.doi.org/10.17269/s41997-023-00782-5
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author Hebbern, Christopher
Gosselin, Pierre
Chen, Kai
Chen, Hong
Cakmak, Sabit
MacDonald, Melissa
Chagnon, Jonathan
Dion, Patrice
Martel, Laurent
Lavigne, Eric
author_facet Hebbern, Christopher
Gosselin, Pierre
Chen, Kai
Chen, Hong
Cakmak, Sabit
MacDonald, Melissa
Chagnon, Jonathan
Dion, Patrice
Martel, Laurent
Lavigne, Eric
author_sort Hebbern, Christopher
collection PubMed
description OBJECTIVE: Climate change is expected to increase global temperatures. How temperature-related mortality risk will change is not completely understood, and how future demographic changes will affect temperature-related mortality needs to be clarified. We evaluate temperature-related mortality across Canada until 2099, accounting for age groups and scenarios of population growth. METHODS: We used daily counts of non-accidental mortality for 2000 to 2015 for all 111 health regions across Canada, incorporating in the study both urban and rural areas. A two-part time series analysis was used to estimate associations between mean daily temperatures and mortality. First, current and future daily mean temperature time series simulations were developed from Coupled Model Inter-Comparison Project 6 (CMIP6) climate model ensembles from past and projected climate change scenarios under Shared Socioeconomic Pathways (SSPs). Next, excess mortality due to heat and cold and the net difference were projected to 2099, also accounting for different regional and population aging scenarios. RESULTS: For 2000 to 2015, we identified 3,343,311 non-accidental deaths. On average, a net increase of 17.31% (95% eCI: 13.99, 20.62) in temperature-related excess mortality under a higher greenhouse gas emission scenario is expected for Canada in 2090–2099, which represents a greater burden than a scenario that assumed strong levels of greenhouse gas mitigation policies (net increase of 3.29%; 95% eCI: 1.41, 5.17). The highest net increase was observed among people aged 65 and over, and the largest increases in both net and heat- and cold-related mortality were observed in population scenarios that incorporated the highest rates of aging. CONCLUSION: Canada may expect net increases in temperature-related mortality under a higher emissions climate change scenario, compared to one assuming sustainable development. Urgent action is needed to mitigate future climate change impacts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.17269/s41997-023-00782-5.
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spelling pubmed-104848592023-09-09 Future temperature-related excess mortality under climate change and population aging scenarios in Canada Hebbern, Christopher Gosselin, Pierre Chen, Kai Chen, Hong Cakmak, Sabit MacDonald, Melissa Chagnon, Jonathan Dion, Patrice Martel, Laurent Lavigne, Eric Can J Public Health Special Section on Public Health, Climate Change, and Ecological Futures: Quantitative Research OBJECTIVE: Climate change is expected to increase global temperatures. How temperature-related mortality risk will change is not completely understood, and how future demographic changes will affect temperature-related mortality needs to be clarified. We evaluate temperature-related mortality across Canada until 2099, accounting for age groups and scenarios of population growth. METHODS: We used daily counts of non-accidental mortality for 2000 to 2015 for all 111 health regions across Canada, incorporating in the study both urban and rural areas. A two-part time series analysis was used to estimate associations between mean daily temperatures and mortality. First, current and future daily mean temperature time series simulations were developed from Coupled Model Inter-Comparison Project 6 (CMIP6) climate model ensembles from past and projected climate change scenarios under Shared Socioeconomic Pathways (SSPs). Next, excess mortality due to heat and cold and the net difference were projected to 2099, also accounting for different regional and population aging scenarios. RESULTS: For 2000 to 2015, we identified 3,343,311 non-accidental deaths. On average, a net increase of 17.31% (95% eCI: 13.99, 20.62) in temperature-related excess mortality under a higher greenhouse gas emission scenario is expected for Canada in 2090–2099, which represents a greater burden than a scenario that assumed strong levels of greenhouse gas mitigation policies (net increase of 3.29%; 95% eCI: 1.41, 5.17). The highest net increase was observed among people aged 65 and over, and the largest increases in both net and heat- and cold-related mortality were observed in population scenarios that incorporated the highest rates of aging. CONCLUSION: Canada may expect net increases in temperature-related mortality under a higher emissions climate change scenario, compared to one assuming sustainable development. Urgent action is needed to mitigate future climate change impacts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.17269/s41997-023-00782-5. Springer International Publishing 2023-06-12 /pmc/articles/PMC10484859/ /pubmed/37308698 http://dx.doi.org/10.17269/s41997-023-00782-5 Text en © Crown 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/) .
spellingShingle Special Section on Public Health, Climate Change, and Ecological Futures: Quantitative Research
Hebbern, Christopher
Gosselin, Pierre
Chen, Kai
Chen, Hong
Cakmak, Sabit
MacDonald, Melissa
Chagnon, Jonathan
Dion, Patrice
Martel, Laurent
Lavigne, Eric
Future temperature-related excess mortality under climate change and population aging scenarios in Canada
title Future temperature-related excess mortality under climate change and population aging scenarios in Canada
title_full Future temperature-related excess mortality under climate change and population aging scenarios in Canada
title_fullStr Future temperature-related excess mortality under climate change and population aging scenarios in Canada
title_full_unstemmed Future temperature-related excess mortality under climate change and population aging scenarios in Canada
title_short Future temperature-related excess mortality under climate change and population aging scenarios in Canada
title_sort future temperature-related excess mortality under climate change and population aging scenarios in canada
topic Special Section on Public Health, Climate Change, and Ecological Futures: Quantitative Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484859/
https://www.ncbi.nlm.nih.gov/pubmed/37308698
http://dx.doi.org/10.17269/s41997-023-00782-5
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