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The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study

BACKGROUND: Drowning is a serious public health problem worldwide. Previous epidemiological studies on the association between meteorological factors and drowning mainly focused on individual weather factors, and the combined effect of mixed exposure to multiple meteorological factors on drowning is...

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Autores principales: Liu, Yingyin, Dong, Xiaomei, Li, Zhixing, Zhu, Sui, Lin, Ziqiang, He, Guanhao, Gong, Weiwei, Hu, Jianxiong, Hou, Zhulin, Meng, Ruilin, Zhou, Chunliang, Yu, Min, Huang, Biao, Lin, Lifeng, Xiao, Jianpeng, Zhong, Jieming, Jin, Donghui, Xu, Yiqing, Lv, Lingshuang, Huang, Cunrui, Liu, Tao, Ma, Wenjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401198/
https://www.ncbi.nlm.nih.gov/pubmed/37471118
http://dx.doi.org/10.2196/46792
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author Liu, Yingyin
Dong, Xiaomei
Li, Zhixing
Zhu, Sui
Lin, Ziqiang
He, Guanhao
Gong, Weiwei
Hu, Jianxiong
Hou, Zhulin
Meng, Ruilin
Zhou, Chunliang
Yu, Min
Huang, Biao
Lin, Lifeng
Xiao, Jianpeng
Zhong, Jieming
Jin, Donghui
Xu, Yiqing
Lv, Lingshuang
Huang, Cunrui
Liu, Tao
Ma, Wenjun
author_facet Liu, Yingyin
Dong, Xiaomei
Li, Zhixing
Zhu, Sui
Lin, Ziqiang
He, Guanhao
Gong, Weiwei
Hu, Jianxiong
Hou, Zhulin
Meng, Ruilin
Zhou, Chunliang
Yu, Min
Huang, Biao
Lin, Lifeng
Xiao, Jianpeng
Zhong, Jieming
Jin, Donghui
Xu, Yiqing
Lv, Lingshuang
Huang, Cunrui
Liu, Tao
Ma, Wenjun
author_sort Liu, Yingyin
collection PubMed
description BACKGROUND: Drowning is a serious public health problem worldwide. Previous epidemiological studies on the association between meteorological factors and drowning mainly focused on individual weather factors, and the combined effect of mixed exposure to multiple meteorological factors on drowning is unclear. OBJECTIVE: We aimed to investigate the combined effects of multiple meteorological factors on unintentional drowning mortality in China and to identify the important meteorological factors contributing to drowning mortality. METHODS: Unintentional drowning death data (based on International Classification of Diseases, 10th Edition, codes W65-74) from January 1, 2013, to December 31, 2018, were collected from the Disease Surveillance Points System for Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces, China. Daily meteorological data, including daily mean temperature, relative humidity, sunlight duration, and rainfall in the same period were obtained from the Chinese Academy of Meteorological Science Data Center. We constructed a time-stratified case-crossover design and applied a generalized additive model to examine the effect of individual weather factors on drowning mortality, and then used quantile g-computation to estimate the joint effect of the mixed exposure to meteorological factors. RESULTS: A total of 46,179 drowning deaths were reported in the 5 provinces in China from 2013 to 2018. In an effect analysis of individual exposure, we observed a positive effect for sunlight duration, a negative effect for relative humidity, and U-shaped associations for temperature and rainfall with drowning mortality. In a joint effect analysis of the above 4 meteorological factors, a 2.99% (95% CI 0.26%-5.80%) increase in drowning mortality was observed per quartile rise in exposure mixture. For the total population, sunlight duration was the most important weather factor for drowning mortality, with a 93.1% positive contribution to the overall effects, while rainfall was mainly a negative factor for drowning deaths (90.5%) and temperature and relative humidity contributed 6.9% and –9.5% to the overall effects, respectively. CONCLUSIONS: This study found that mixed exposure to temperature, relative humidity, sunlight duration, and rainfall was positively associated with drowning mortality and that sunlight duration, rather than temperature, may be the most important meteorological factor for drowning mortality. These findings imply that it is necessary to incorporate sunshine hours and temperature into early warning systems for drowning prevention in the future.
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spelling pubmed-104011982023-08-05 The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study Liu, Yingyin Dong, Xiaomei Li, Zhixing Zhu, Sui Lin, Ziqiang He, Guanhao Gong, Weiwei Hu, Jianxiong Hou, Zhulin Meng, Ruilin Zhou, Chunliang Yu, Min Huang, Biao Lin, Lifeng Xiao, Jianpeng Zhong, Jieming Jin, Donghui Xu, Yiqing Lv, Lingshuang Huang, Cunrui Liu, Tao Ma, Wenjun JMIR Public Health Surveill Original Paper BACKGROUND: Drowning is a serious public health problem worldwide. Previous epidemiological studies on the association between meteorological factors and drowning mainly focused on individual weather factors, and the combined effect of mixed exposure to multiple meteorological factors on drowning is unclear. OBJECTIVE: We aimed to investigate the combined effects of multiple meteorological factors on unintentional drowning mortality in China and to identify the important meteorological factors contributing to drowning mortality. METHODS: Unintentional drowning death data (based on International Classification of Diseases, 10th Edition, codes W65-74) from January 1, 2013, to December 31, 2018, were collected from the Disease Surveillance Points System for Guangdong, Hunan, Zhejiang, Yunnan, and Jilin Provinces, China. Daily meteorological data, including daily mean temperature, relative humidity, sunlight duration, and rainfall in the same period were obtained from the Chinese Academy of Meteorological Science Data Center. We constructed a time-stratified case-crossover design and applied a generalized additive model to examine the effect of individual weather factors on drowning mortality, and then used quantile g-computation to estimate the joint effect of the mixed exposure to meteorological factors. RESULTS: A total of 46,179 drowning deaths were reported in the 5 provinces in China from 2013 to 2018. In an effect analysis of individual exposure, we observed a positive effect for sunlight duration, a negative effect for relative humidity, and U-shaped associations for temperature and rainfall with drowning mortality. In a joint effect analysis of the above 4 meteorological factors, a 2.99% (95% CI 0.26%-5.80%) increase in drowning mortality was observed per quartile rise in exposure mixture. For the total population, sunlight duration was the most important weather factor for drowning mortality, with a 93.1% positive contribution to the overall effects, while rainfall was mainly a negative factor for drowning deaths (90.5%) and temperature and relative humidity contributed 6.9% and –9.5% to the overall effects, respectively. CONCLUSIONS: This study found that mixed exposure to temperature, relative humidity, sunlight duration, and rainfall was positively associated with drowning mortality and that sunlight duration, rather than temperature, may be the most important meteorological factor for drowning mortality. These findings imply that it is necessary to incorporate sunshine hours and temperature into early warning systems for drowning prevention in the future. JMIR Publications 2023-07-20 /pmc/articles/PMC10401198/ /pubmed/37471118 http://dx.doi.org/10.2196/46792 Text en ©Yingyin Liu, Xiaomei Dong, Zhixing Li, Sui Zhu, Ziqiang Lin, Guanhao He, Weiwei Gong, Jianxiong Hu, Zhulin Hou, Ruilin Meng, Chunliang Zhou, Min Yu, Biao Huang, Lifeng Lin, Jianpeng Xiao, Jieming Zhong, Donghui Jin, Yiqing Xu, Lingshuang Lv, Cunrui Huang, Tao Liu, Wenjun Ma. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 20.07.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Liu, Yingyin
Dong, Xiaomei
Li, Zhixing
Zhu, Sui
Lin, Ziqiang
He, Guanhao
Gong, Weiwei
Hu, Jianxiong
Hou, Zhulin
Meng, Ruilin
Zhou, Chunliang
Yu, Min
Huang, Biao
Lin, Lifeng
Xiao, Jianpeng
Zhong, Jieming
Jin, Donghui
Xu, Yiqing
Lv, Lingshuang
Huang, Cunrui
Liu, Tao
Ma, Wenjun
The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study
title The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study
title_full The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study
title_fullStr The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study
title_full_unstemmed The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study
title_short The Combined Effects of Short-Term Exposure to Multiple Meteorological Factors on Unintentional Drowning Mortality: Large Case-Crossover Study
title_sort combined effects of short-term exposure to multiple meteorological factors on unintentional drowning mortality: large case-crossover study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401198/
https://www.ncbi.nlm.nih.gov/pubmed/37471118
http://dx.doi.org/10.2196/46792
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