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

Bibliographic Details
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
Authors: Yizhang Xia, Chunli Shi, Yang Li, Xianyan Jiang, Shijuan Ruan, Xufang Gao, Yu Chen, Wei Huang, Mingjiang Li, Rong Xue, Xianying Wen, Xiaojuan Peng, Jianyu Chen, Li Zhang
Source: BMC Public Health, Vol 23, Iss 1, Pp 1-12 (2023)
Publisher Information: BMC, 2023.
Publication Year: 2023
Collection: LCC:Public aspects of medicine
Subject Terms: Temperature, Mortality, Distributed-lag nonlinear model, Public aspects of medicine, RA1-1270
More Details: Abstract 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.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1471-2458
Relation: https://doaj.org/toc/1471-2458
DOI: 10.1186/s12889-022-14931-x
Access URL: https://doaj.org/article/f3c6c7fdee4149bb8c053f3ebc7bd14d
Accession Number: edsdoj.f3c6c7fdee4149bb8c053f3ebc7bd14d
Database: Directory of Open Access Journals
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More Details
ISSN:14712458
DOI:10.1186/s12889-022-14931-x
Published in:BMC Public Health
Language:English