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Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis

BACKGROUND: With complex changes in the global climate, it is critical to understand how ambient temperature affects health, especially in China. We aimed to assess the effects of temperature on daily mortality, including total non-accidental, cardiovascular disease (CVD), respiratory disease, cereb...

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Autores principales: Xia, Yizhang, Shi, Chunli, Li, Yang, Jiang, Xianyan, Ruan, Shijuan, Gao, Xufang, Chen, Yu, Huang, Wei, Li, Mingjiang, Xue, Rong, Wen, Xianying, Peng, Xiaojuan, Chen, Jianyu, Zhang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863161/
https://www.ncbi.nlm.nih.gov/pubmed/36681785
http://dx.doi.org/10.1186/s12889-022-14931-x
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author Xia, Yizhang
Shi, Chunli
Li, Yang
Jiang, Xianyan
Ruan, Shijuan
Gao, Xufang
Chen, Yu
Huang, Wei
Li, Mingjiang
Xue, Rong
Wen, Xianying
Peng, Xiaojuan
Chen, Jianyu
Zhang, Li
author_facet Xia, Yizhang
Shi, Chunli
Li, Yang
Jiang, Xianyan
Ruan, Shijuan
Gao, Xufang
Chen, Yu
Huang, Wei
Li, Mingjiang
Xue, Rong
Wen, Xianying
Peng, Xiaojuan
Chen, Jianyu
Zhang, Li
author_sort Xia, Yizhang
collection PubMed
description BACKGROUND: With complex changes in the global climate, it is critical to understand how ambient temperature affects health, especially in China. We aimed to assess the effects of temperature on daily mortality, including total non-accidental, cardiovascular disease (CVD), respiratory disease, cerebrovascular disease, and ischemic heart disease (IHD) mortality between 2016 and 2020 in Chengdu, China. METHODS: We obtained daily temperature and mortality data for the period 2016–2020. A Poisson regression model combined with a distributed-lag nonlinear model was used to examine the association between temperature and daily mortality. We investigated the effects of individual characteristics by sex, age, education level, and marital status. RESULTS: We found significant non-linear effects of temperature on total non-accidental, CVD, respiratory, cerebrovascular, and IHD mortality. Heat effects were immediate and lasted for 0–3 days, whereas cold effects persisted for 7–10 days. The relative risks associated with extreme high temperatures (99th percentile of temperature, 28 °C) over lags of 0–3 days were 1.22 (95% confidence interval [CI]: 1.17, 1.28) for total non-accidental mortality, 1.40 (95% CI: 1.30, 1.50) for CVD morality, 1.34 (95% CI: 1.24, 1.46) for respiratory morality, 1.33 (95% CI: 1.20, 1.47) for cerebrovascular mortality, and 1.38 (95% CI: 1.20, 1.58) for IHD mortality. The relative risks associated with extreme cold temperature (1st percentile of temperature, 3.0 °C) over lags of 0–14 days were 1.32 (95% CI: 1.19, 1.46) for total mortality, 1.45 (95% CI: 1.24, 1.68) for CVD morality, 1.28 (95% CI: 1.09, 1.50) for respiratory morality, 1.36 (95% CI: 1.09, 1.70) for cerebrovascular mortality, and 1.26 (95% CI: 0.95, 1.68) for IHD morality. We found that hot and cold affects were greater in those over 85 years of age, and that women, individuals with low education levels, and those who were widowed, divorced, or never married, were more vulnerable. CONCLUSIONS: This study showed that exposure to hot and cold temperatures in Chengdu was associated with increased mortality, with people over 85 years old, women, those with low education levels, and unmarried individuals being more affected by hot and cold temperatures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14931-x.
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spelling pubmed-98631612023-01-22 Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis Xia, Yizhang Shi, Chunli Li, Yang Jiang, Xianyan Ruan, Shijuan Gao, Xufang Chen, Yu Huang, Wei Li, Mingjiang Xue, Rong Wen, Xianying Peng, Xiaojuan Chen, Jianyu Zhang, Li BMC Public Health Research BACKGROUND: With complex changes in the global climate, it is critical to understand how ambient temperature affects health, especially in China. We aimed to assess the effects of temperature on daily mortality, including total non-accidental, cardiovascular disease (CVD), respiratory disease, cerebrovascular disease, and ischemic heart disease (IHD) mortality between 2016 and 2020 in Chengdu, China. METHODS: We obtained daily temperature and mortality data for the period 2016–2020. A Poisson regression model combined with a distributed-lag nonlinear model was used to examine the association between temperature and daily mortality. We investigated the effects of individual characteristics by sex, age, education level, and marital status. RESULTS: We found significant non-linear effects of temperature on total non-accidental, CVD, respiratory, cerebrovascular, and IHD mortality. Heat effects were immediate and lasted for 0–3 days, whereas cold effects persisted for 7–10 days. The relative risks associated with extreme high temperatures (99th percentile of temperature, 28 °C) over lags of 0–3 days were 1.22 (95% confidence interval [CI]: 1.17, 1.28) for total non-accidental mortality, 1.40 (95% CI: 1.30, 1.50) for CVD morality, 1.34 (95% CI: 1.24, 1.46) for respiratory morality, 1.33 (95% CI: 1.20, 1.47) for cerebrovascular mortality, and 1.38 (95% CI: 1.20, 1.58) for IHD mortality. The relative risks associated with extreme cold temperature (1st percentile of temperature, 3.0 °C) over lags of 0–14 days were 1.32 (95% CI: 1.19, 1.46) for total mortality, 1.45 (95% CI: 1.24, 1.68) for CVD morality, 1.28 (95% CI: 1.09, 1.50) for respiratory morality, 1.36 (95% CI: 1.09, 1.70) for cerebrovascular mortality, and 1.26 (95% CI: 0.95, 1.68) for IHD morality. We found that hot and cold affects were greater in those over 85 years of age, and that women, individuals with low education levels, and those who were widowed, divorced, or never married, were more vulnerable. CONCLUSIONS: This study showed that exposure to hot and cold temperatures in Chengdu was associated with increased mortality, with people over 85 years old, women, those with low education levels, and unmarried individuals being more affected by hot and cold temperatures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14931-x. BioMed Central 2023-01-21 /pmc/articles/PMC9863161/ /pubmed/36681785 http://dx.doi.org/10.1186/s12889-022-14931-x 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
Xia, Yizhang
Shi, Chunli
Li, Yang
Jiang, Xianyan
Ruan, Shijuan
Gao, Xufang
Chen, Yu
Huang, Wei
Li, Mingjiang
Xue, Rong
Wen, Xianying
Peng, Xiaojuan
Chen, Jianyu
Zhang, Li
Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis
title Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis
title_full Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis
title_fullStr Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis
title_full_unstemmed Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis
title_short Effects of ambient temperature on mortality among elderly residents of Chengdu city in Southwest China, 2016–2020: a distributed-lag non-linear time series analysis
title_sort effects of ambient temperature on mortality among elderly residents of chengdu city in southwest china, 2016–2020: a distributed-lag non-linear time series analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863161/
https://www.ncbi.nlm.nih.gov/pubmed/36681785
http://dx.doi.org/10.1186/s12889-022-14931-x
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