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Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China

BACKGROUND: In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temp...

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Autores principales: Lv, Ling-Shuang, Zhou, Chun-Liang, Jin, Dong-Hui, Ma, Wen-Jun, Liu, Tao, Xie, Yi-Jun, Xu, Yi-Qing, Zhang, Xing-E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827384/
https://www.ncbi.nlm.nih.gov/pubmed/34633619
http://dx.doi.org/10.1007/s11356-021-16888-7
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author Lv, Ling-Shuang
Zhou, Chun-Liang
Jin, Dong-Hui
Ma, Wen-Jun
Liu, Tao
Xie, Yi-Jun
Xu, Yi-Qing
Zhang, Xing-E
author_facet Lv, Ling-Shuang
Zhou, Chun-Liang
Jin, Dong-Hui
Ma, Wen-Jun
Liu, Tao
Xie, Yi-Jun
Xu, Yi-Qing
Zhang, Xing-E
author_sort Lv, Ling-Shuang
collection PubMed
description BACKGROUND: In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temperature. In this study, we aimed to assess the relationship between ambient temperature and life loss and estimate the impact of ambient temperature on life loss per death. METHODS: We collected daily time series of mortality and meteorological data from 70 locations in Hunan province, central China, in periods ranging from Jan. 1, 2013, to Dec. 31, 2017. Crude rates of YLL were calculated per 100,000 people per year (YLL/100,000 population) for each location. A distributed lag nonlinear model and multivariate meta-regression were used to estimate the associations between ambient temperature and YLL rates. Then, the average life loss per death attributable to ambient temperature was calculated. RESULTS: There were 711,484 CVD deaths recorded within the study period. The exposure-response curve between ambient temperature and YLL rates was inverted J or U-shaped. Relative to the minimum YLL rate temperature, the life loss risk of extreme cold temperature lasted for 10 to 12 days, whereas the risk of extreme hot temperature appeared immediately and lasted for 3 days. On average, the life loss per death attributable to non-optimum ambient temperatures was 1.89 (95% CI, 1.21-2.56) years. Life loss was mainly caused by cold temperature (1.13, 95% CI, 0.89‑1.37), particularly moderate cold (1.00, 95% CI, 0.78‑1.23). For demographic characteristics, the mean life loss per death was relatively higher for males (2.07, 95% CI, 1.44‑2.68) and younger populations (3.72, 95% CI, 2.06‑5.46) than for females (1.88, 95% CI, 1.21-2.57) and elderly people (1.69, 95% CI, 1.28-2.10), respectively. CONCLUSIONS: We found that both cold and hot temperatures significantly aggravated premature death from CVDs. Our results indicated that the whole range of effects of ambient temperature on CVDs should be given attention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-16888-7.
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spelling pubmed-88273842022-02-22 Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China Lv, Ling-Shuang Zhou, Chun-Liang Jin, Dong-Hui Ma, Wen-Jun Liu, Tao Xie, Yi-Jun Xu, Yi-Qing Zhang, Xing-E Environ Sci Pollut Res Int Research Article BACKGROUND: In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However, little is known about the effect of ambient temperature on year of life lost (YLL), especially the life loss per death caused by ambient temperature. In this study, we aimed to assess the relationship between ambient temperature and life loss and estimate the impact of ambient temperature on life loss per death. METHODS: We collected daily time series of mortality and meteorological data from 70 locations in Hunan province, central China, in periods ranging from Jan. 1, 2013, to Dec. 31, 2017. Crude rates of YLL were calculated per 100,000 people per year (YLL/100,000 population) for each location. A distributed lag nonlinear model and multivariate meta-regression were used to estimate the associations between ambient temperature and YLL rates. Then, the average life loss per death attributable to ambient temperature was calculated. RESULTS: There were 711,484 CVD deaths recorded within the study period. The exposure-response curve between ambient temperature and YLL rates was inverted J or U-shaped. Relative to the minimum YLL rate temperature, the life loss risk of extreme cold temperature lasted for 10 to 12 days, whereas the risk of extreme hot temperature appeared immediately and lasted for 3 days. On average, the life loss per death attributable to non-optimum ambient temperatures was 1.89 (95% CI, 1.21-2.56) years. Life loss was mainly caused by cold temperature (1.13, 95% CI, 0.89‑1.37), particularly moderate cold (1.00, 95% CI, 0.78‑1.23). For demographic characteristics, the mean life loss per death was relatively higher for males (2.07, 95% CI, 1.44‑2.68) and younger populations (3.72, 95% CI, 2.06‑5.46) than for females (1.88, 95% CI, 1.21-2.57) and elderly people (1.69, 95% CI, 1.28-2.10), respectively. CONCLUSIONS: We found that both cold and hot temperatures significantly aggravated premature death from CVDs. Our results indicated that the whole range of effects of ambient temperature on CVDs should be given attention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-021-16888-7. Springer Berlin Heidelberg 2021-10-11 2022 /pmc/articles/PMC8827384/ /pubmed/34633619 http://dx.doi.org/10.1007/s11356-021-16888-7 Text en © The Author(s) 2021 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 Research Article
Lv, Ling-Shuang
Zhou, Chun-Liang
Jin, Dong-Hui
Ma, Wen-Jun
Liu, Tao
Xie, Yi-Jun
Xu, Yi-Qing
Zhang, Xing-E
Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China
title Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China
title_full Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China
title_fullStr Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China
title_full_unstemmed Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China
title_short Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China
title_sort impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827384/
https://www.ncbi.nlm.nih.gov/pubmed/34633619
http://dx.doi.org/10.1007/s11356-021-16888-7
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