Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in China

Abstract Climate change and diabetes pose the dual challenges to human health, yet there is a lack of evidence regarding future health burden of diabetes attributable to climate change. In this study, we used three-stage analytic strategy to project the heat-related and heatwave-related diabetes dea...

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Main Authors: Sujuan Chen, Maigeng Zhou, De Li Liu, Shilu Tong, Zhiwei Xu, Mengmeng Li, Michael Tong, Qiyong Liu, Jun Yang
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:npj Climate and Atmospheric Science
Online Access:https://doi.org/10.1038/s41612-024-00839-3
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author Sujuan Chen
Maigeng Zhou
De Li Liu
Shilu Tong
Zhiwei Xu
Mengmeng Li
Michael Tong
Qiyong Liu
Jun Yang
author_facet Sujuan Chen
Maigeng Zhou
De Li Liu
Shilu Tong
Zhiwei Xu
Mengmeng Li
Michael Tong
Qiyong Liu
Jun Yang
author_sort Sujuan Chen
collection DOAJ
description Abstract Climate change and diabetes pose the dual challenges to human health, yet there is a lack of evidence regarding future health burden of diabetes attributable to climate change. In this study, we used three-stage analytic strategy to project the heat-related and heatwave-related diabetes deaths by demographic characteristics and regions, during 2010–2100 in 32 major Chinese cities. Under SSP5-8.5 (high carbon emission scenario), heat-related attributable fraction of diabetes mortality is projected to rise from 2.3% (95% empirical confidence interval [eCI]: 1.1%, 3.6%) in the 2010s to 19.2% (95% eCI: 10.2%, 32.5%) in the 2090s, and estimated heatwave-related attributable fractions will increase from 0.8% (95% eCI: 0.6%, 1.0%) in the 2010s to 9.3% (95% eCI: 6.7%, 11.8%) in the 2090s. We projected that the number of heat- and heatwave-related diabetes deaths would increase from 1525 (95% eCI: 759, 2431) and 529 (95% eCI: 382, 668) in the 2010s, to 12,956 (95% eCI: 6861, 21,937) and 6312 (95% eCI: 4557, 7972) in the 2090s, respectively. Under SSP1-2.6, SSP2-4.5, and SSP3-7.0 (lower carbon emissions), we projected much lower future heat- and heatwave-related diabetes mortality burdens. Our findings might provide new insights for the development of protecting patients with diabetes from increasing temperature.
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spelling doaj-art-758e75f464844a88a6de6d10d7008b2a2025-08-20T02:22:16ZengNature Portfolionpj Climate and Atmospheric Science2397-37222024-11-01711910.1038/s41612-024-00839-3Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in ChinaSujuan Chen0Maigeng Zhou1De Li Liu2Shilu Tong3Zhiwei Xu4Mengmeng Li5Michael Tong6Qiyong Liu7Jun Yang8The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical UniversityNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and PreventionNSW Department of Primary Industries, Wagga Wagga Agricultural InstituteNational Institute of Environmental Health, Chinese Center for Disease Control and PreventionSchool of Medicine and Dentistry, Griffith UniversityState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer CenterNational Centre for Epidemiology and Population Health, ANU College of Health and Medicine, The Australian National UniversityNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and PreventionThe Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical UniversityAbstract Climate change and diabetes pose the dual challenges to human health, yet there is a lack of evidence regarding future health burden of diabetes attributable to climate change. In this study, we used three-stage analytic strategy to project the heat-related and heatwave-related diabetes deaths by demographic characteristics and regions, during 2010–2100 in 32 major Chinese cities. Under SSP5-8.5 (high carbon emission scenario), heat-related attributable fraction of diabetes mortality is projected to rise from 2.3% (95% empirical confidence interval [eCI]: 1.1%, 3.6%) in the 2010s to 19.2% (95% eCI: 10.2%, 32.5%) in the 2090s, and estimated heatwave-related attributable fractions will increase from 0.8% (95% eCI: 0.6%, 1.0%) in the 2010s to 9.3% (95% eCI: 6.7%, 11.8%) in the 2090s. We projected that the number of heat- and heatwave-related diabetes deaths would increase from 1525 (95% eCI: 759, 2431) and 529 (95% eCI: 382, 668) in the 2010s, to 12,956 (95% eCI: 6861, 21,937) and 6312 (95% eCI: 4557, 7972) in the 2090s, respectively. Under SSP1-2.6, SSP2-4.5, and SSP3-7.0 (lower carbon emissions), we projected much lower future heat- and heatwave-related diabetes mortality burdens. Our findings might provide new insights for the development of protecting patients with diabetes from increasing temperature.https://doi.org/10.1038/s41612-024-00839-3
spellingShingle Sujuan Chen
Maigeng Zhou
De Li Liu
Shilu Tong
Zhiwei Xu
Mengmeng Li
Michael Tong
Qiyong Liu
Jun Yang
Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in China
npj Climate and Atmospheric Science
title Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in China
title_full Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in China
title_fullStr Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in China
title_full_unstemmed Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in China
title_short Mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in China
title_sort mortality burden of diabetes attributable to high temperature and heatwave under climate change scenarios in china
url https://doi.org/10.1038/s41612-024-00839-3
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