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Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study

BACKGROUND: Numerous studies have reported on the associations between ambient temperatures and mortality. However, few multi-city studies have been conducted in developing countries including China. This study aimed to examine the association between high temperature and mortality outcomes in four...

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Autores principales: Li, Yonghong, Cheng, Yibin, Cui, Guoquan, Peng, Chaoqiong, Xu, Yan, Wang, Yulin, Liu, Yingchun, Liu, Jingyi, Li, Chengcheng, Wu, Zhen, Bi, Peng, Jin, Yinlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237799/
https://www.ncbi.nlm.nih.gov/pubmed/25103276
http://dx.doi.org/10.1186/1476-069X-13-65
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author Li, Yonghong
Cheng, Yibin
Cui, Guoquan
Peng, Chaoqiong
Xu, Yan
Wang, Yulin
Liu, Yingchun
Liu, Jingyi
Li, Chengcheng
Wu, Zhen
Bi, Peng
Jin, Yinlong
author_facet Li, Yonghong
Cheng, Yibin
Cui, Guoquan
Peng, Chaoqiong
Xu, Yan
Wang, Yulin
Liu, Yingchun
Liu, Jingyi
Li, Chengcheng
Wu, Zhen
Bi, Peng
Jin, Yinlong
author_sort Li, Yonghong
collection PubMed
description BACKGROUND: Numerous studies have reported on the associations between ambient temperatures and mortality. However, few multi-city studies have been conducted in developing countries including China. This study aimed to examine the association between high temperature and mortality outcomes in four cities with different climatic characteristics in China to identify the most vulnerable population, detect the threshold temperatures, and provide scientific evidence for public health policy implementations to respond to challenges from extreme heat. METHODS: A semi-parametric generalized additive model (GAM) with a Poisson distribution was used to analyze the impacts of the daily maximum temperature over the threshold on mortality after controlling for covariates including time trends, day of the week (DOW), humidity, daily temperature range, and outdoor air pollution. RESULTS: The temperature thresholds for all-cause mortality were 29°C, 35°C, 33°C and 34°C for Harbin, Nanjing, Shenzhen and Chongqing, respectively. After adjusting for potential confounders including air pollution, strong associations between daily maximum temperature and daily mortality from all-cause, cardiovascular, endocrine and metabolic outcomes, and particularly diabetes, were observed in different geographical cities, with increases of 3.2-5.5%, 4.6-7.5% and 12.5-31.9% (with 14.7-29.2% in diabetes), respectively, with each 1°C increment in the daily maximum temperature over the threshold. A stronger temperature-associated mortality was detected in females compared to males. Additionally, both the population over 55 years and younger adults aged 30 to 54 years reported significant heat-mortality associations. CONCLUSIONS: Extreme heat is becoming a huge threat to public health and human welfare due to the strong temperature-mortality associations in China. Climate change with increasing temperatures may make the situation worse. Relevant public health strategies and an early extreme weather and health warning system should be developed and improved at an early stage to prevent and reduce the health risks due to extreme weather and climate change in China, given its huge population, diverse geographic distribution and unbalanced socioeconomic status with various climatic characteristics.
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spelling pubmed-42377992014-11-21 Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study Li, Yonghong Cheng, Yibin Cui, Guoquan Peng, Chaoqiong Xu, Yan Wang, Yulin Liu, Yingchun Liu, Jingyi Li, Chengcheng Wu, Zhen Bi, Peng Jin, Yinlong Environ Health Research BACKGROUND: Numerous studies have reported on the associations between ambient temperatures and mortality. However, few multi-city studies have been conducted in developing countries including China. This study aimed to examine the association between high temperature and mortality outcomes in four cities with different climatic characteristics in China to identify the most vulnerable population, detect the threshold temperatures, and provide scientific evidence for public health policy implementations to respond to challenges from extreme heat. METHODS: A semi-parametric generalized additive model (GAM) with a Poisson distribution was used to analyze the impacts of the daily maximum temperature over the threshold on mortality after controlling for covariates including time trends, day of the week (DOW), humidity, daily temperature range, and outdoor air pollution. RESULTS: The temperature thresholds for all-cause mortality were 29°C, 35°C, 33°C and 34°C for Harbin, Nanjing, Shenzhen and Chongqing, respectively. After adjusting for potential confounders including air pollution, strong associations between daily maximum temperature and daily mortality from all-cause, cardiovascular, endocrine and metabolic outcomes, and particularly diabetes, were observed in different geographical cities, with increases of 3.2-5.5%, 4.6-7.5% and 12.5-31.9% (with 14.7-29.2% in diabetes), respectively, with each 1°C increment in the daily maximum temperature over the threshold. A stronger temperature-associated mortality was detected in females compared to males. Additionally, both the population over 55 years and younger adults aged 30 to 54 years reported significant heat-mortality associations. CONCLUSIONS: Extreme heat is becoming a huge threat to public health and human welfare due to the strong temperature-mortality associations in China. Climate change with increasing temperatures may make the situation worse. Relevant public health strategies and an early extreme weather and health warning system should be developed and improved at an early stage to prevent and reduce the health risks due to extreme weather and climate change in China, given its huge population, diverse geographic distribution and unbalanced socioeconomic status with various climatic characteristics. BioMed Central 2014-08-07 /pmc/articles/PMC4237799/ /pubmed/25103276 http://dx.doi.org/10.1186/1476-069X-13-65 Text en Copyright © 2014 Li et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Li, Yonghong
Cheng, Yibin
Cui, Guoquan
Peng, Chaoqiong
Xu, Yan
Wang, Yulin
Liu, Yingchun
Liu, Jingyi
Li, Chengcheng
Wu, Zhen
Bi, Peng
Jin, Yinlong
Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study
title Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study
title_full Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study
title_fullStr Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study
title_full_unstemmed Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study
title_short Association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in China: a time-series study
title_sort association between high temperature and mortality in metropolitan areas of four cities in various climatic zones in china: a time-series study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237799/
https://www.ncbi.nlm.nih.gov/pubmed/25103276
http://dx.doi.org/10.1186/1476-069X-13-65
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