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Mortality burden attributable to temperature variability in China

BACKGROUND: Several studies have investigated the associations between temperature variability (TV) and death counts. However, evidence of TV-attributable years of life lost (YLL) is scarce. OBJECTIVES: To investigate the associations between TV and YLL rates (/100,000 population), and quantify aver...

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Autores principales: Gong, Weiwei, Li, Xing, Zhou, Maigeng, Zhou, Chunliang, Xiao, Yize, Huang, Biao, Lin, Lifeng, Hu, Jianxiong, Xiao, Jianpeng, Zeng, Weilin, He, Guanhao, Huang, Cunrui, Liu, Tao, Du, Qingfeng, Ma, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944404/
https://www.ncbi.nlm.nih.gov/pubmed/35332279
http://dx.doi.org/10.1038/s41370-022-00424-x
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author Gong, Weiwei
Li, Xing
Zhou, Maigeng
Zhou, Chunliang
Xiao, Yize
Huang, Biao
Lin, Lifeng
Hu, Jianxiong
Xiao, Jianpeng
Zeng, Weilin
He, Guanhao
Huang, Cunrui
Liu, Tao
Du, Qingfeng
Ma, Wenjun
author_facet Gong, Weiwei
Li, Xing
Zhou, Maigeng
Zhou, Chunliang
Xiao, Yize
Huang, Biao
Lin, Lifeng
Hu, Jianxiong
Xiao, Jianpeng
Zeng, Weilin
He, Guanhao
Huang, Cunrui
Liu, Tao
Du, Qingfeng
Ma, Wenjun
author_sort Gong, Weiwei
collection PubMed
description BACKGROUND: Several studies have investigated the associations between temperature variability (TV) and death counts. However, evidence of TV-attributable years of life lost (YLL) is scarce. OBJECTIVES: To investigate the associations between TV and YLL rates (/100,000 population), and quantify average life loss per death (LLD) caused by TV in China. METHODS: We calculated daily YLL rates (/100,000 population) of non-accidental causes and cardiorespiratory diseases by using death data from 364 counties of China during 2006–2017, and collected meteorological data during the same period. A distributed lag non-linear model (DLNM) and multivariate meta-analysis were used to estimate the effects of TV at national or regional levels. Then, we calculated the LLD to quantify the mortality burden of TV. RESULTS: U-shaped curves were observed in the associations of YLL rates with TV in China. The minimum YLL TV (MYTV) was 2.5 °C nationwide. An average of 0.89 LLD was attributable to TV in total, most of which was from high TV (0.86, 95% CI: 0.56, 1.16). However, TV caused more LLD in the young (<65 years old) (1.87, 95% CI: 1.03, 2.71) than 65–74 years old (0.85, 95% CI: 0.40–1.31) and ≥75 years old (0.40, 95% CI: 0.21–0.59), cerebrovascular disease (0.74, 95% CI: 0.36, 1.11) than respiratory disease (0.54, 95% CI: 0.21, 0.87), South (1.23, 95% CI: 0.77, 1.68) than North (0.41, 95% CI: −0.7, 1.52) and Central China (0.40, 95% CI: −0.02, 0.81). TV-attributed LLD was modified by annual mean temperature, annual mean relative humidity, altitude, latitude, longitude, and education attainment. SIGNIFICANCE: Our findings indicate that high and low TVs are both associated with increases in premature death, however the majority of LLD was attributable to high TV. TV-related LLD was modified by county level characteristics. TV should be considered in planning adaptation to climate change or variability. IMPACT: 1. We estimated the associations of TV with YLL rates, and quantified the life loss per death (LLD) caused by TV. 2. An average of 0.89 years of LLD were attributable to TV, most of which were from high TVs. 3. TV caused more LLD in the young, cerebrovascular disease, and southern China. 4. The mortality burdens were modified by county level characteristics.
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spelling pubmed-89444042022-03-24 Mortality burden attributable to temperature variability in China Gong, Weiwei Li, Xing Zhou, Maigeng Zhou, Chunliang Xiao, Yize Huang, Biao Lin, Lifeng Hu, Jianxiong Xiao, Jianpeng Zeng, Weilin He, Guanhao Huang, Cunrui Liu, Tao Du, Qingfeng Ma, Wenjun J Expo Sci Environ Epidemiol Article BACKGROUND: Several studies have investigated the associations between temperature variability (TV) and death counts. However, evidence of TV-attributable years of life lost (YLL) is scarce. OBJECTIVES: To investigate the associations between TV and YLL rates (/100,000 population), and quantify average life loss per death (LLD) caused by TV in China. METHODS: We calculated daily YLL rates (/100,000 population) of non-accidental causes and cardiorespiratory diseases by using death data from 364 counties of China during 2006–2017, and collected meteorological data during the same period. A distributed lag non-linear model (DLNM) and multivariate meta-analysis were used to estimate the effects of TV at national or regional levels. Then, we calculated the LLD to quantify the mortality burden of TV. RESULTS: U-shaped curves were observed in the associations of YLL rates with TV in China. The minimum YLL TV (MYTV) was 2.5 °C nationwide. An average of 0.89 LLD was attributable to TV in total, most of which was from high TV (0.86, 95% CI: 0.56, 1.16). However, TV caused more LLD in the young (<65 years old) (1.87, 95% CI: 1.03, 2.71) than 65–74 years old (0.85, 95% CI: 0.40–1.31) and ≥75 years old (0.40, 95% CI: 0.21–0.59), cerebrovascular disease (0.74, 95% CI: 0.36, 1.11) than respiratory disease (0.54, 95% CI: 0.21, 0.87), South (1.23, 95% CI: 0.77, 1.68) than North (0.41, 95% CI: −0.7, 1.52) and Central China (0.40, 95% CI: −0.02, 0.81). TV-attributed LLD was modified by annual mean temperature, annual mean relative humidity, altitude, latitude, longitude, and education attainment. SIGNIFICANCE: Our findings indicate that high and low TVs are both associated with increases in premature death, however the majority of LLD was attributable to high TV. TV-related LLD was modified by county level characteristics. TV should be considered in planning adaptation to climate change or variability. IMPACT: 1. We estimated the associations of TV with YLL rates, and quantified the life loss per death (LLD) caused by TV. 2. An average of 0.89 years of LLD were attributable to TV, most of which were from high TVs. 3. TV caused more LLD in the young, cerebrovascular disease, and southern China. 4. The mortality burdens were modified by county level characteristics. Nature Publishing Group US 2022-03-24 2023 /pmc/articles/PMC8944404/ /pubmed/35332279 http://dx.doi.org/10.1038/s41370-022-00424-x Text en © The Author(s), under exclusive licence to Springer Nature America, Inc. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Gong, Weiwei
Li, Xing
Zhou, Maigeng
Zhou, Chunliang
Xiao, Yize
Huang, Biao
Lin, Lifeng
Hu, Jianxiong
Xiao, Jianpeng
Zeng, Weilin
He, Guanhao
Huang, Cunrui
Liu, Tao
Du, Qingfeng
Ma, Wenjun
Mortality burden attributable to temperature variability in China
title Mortality burden attributable to temperature variability in China
title_full Mortality burden attributable to temperature variability in China
title_fullStr Mortality burden attributable to temperature variability in China
title_full_unstemmed Mortality burden attributable to temperature variability in China
title_short Mortality burden attributable to temperature variability in China
title_sort mortality burden attributable to temperature variability in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944404/
https://www.ncbi.nlm.nih.gov/pubmed/35332279
http://dx.doi.org/10.1038/s41370-022-00424-x
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