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The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design

BACKGROUND: Injuries during work are often exogenous and can be easily influenced by environmental factors, especially weather conditions. Precipitation, a crucial weather factor, has been linked to unintentional injuries, yet evidence of its effect on work-related injuries is limited. Therefore, we...

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Autores principales: Tian, Tian, Lin, Xiao, Huang, Tingyuan, Zhang, Kai, Shi, Congxing, Wang, Pengyu, Chen, Shimin, Guo, Tong, Li, Zhiqiang, Qin, Pengzhe, Liang, Boheng, Zhang, Wangjian, Hao, Yuantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018157/
https://www.ncbi.nlm.nih.gov/pubmed/36935708
http://dx.doi.org/10.3389/fpubh.2023.1117948
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author Tian, Tian
Lin, Xiao
Huang, Tingyuan
Zhang, Kai
Shi, Congxing
Wang, Pengyu
Chen, Shimin
Guo, Tong
Li, Zhiqiang
Qin, Pengzhe
Liang, Boheng
Zhang, Wangjian
Hao, Yuantao
author_facet Tian, Tian
Lin, Xiao
Huang, Tingyuan
Zhang, Kai
Shi, Congxing
Wang, Pengyu
Chen, Shimin
Guo, Tong
Li, Zhiqiang
Qin, Pengzhe
Liang, Boheng
Zhang, Wangjian
Hao, Yuantao
author_sort Tian, Tian
collection PubMed
description BACKGROUND: Injuries during work are often exogenous and can be easily influenced by environmental factors, especially weather conditions. Precipitation, a crucial weather factor, has been linked to unintentional injuries, yet evidence of its effect on work-related injuries is limited. Therefore, we aimed to clarify the impact of precipitation on injuries during work as well as its variation across numerous vulnerability features. METHODS: Records on the work-related injury during 2016–2020 were obtained from four sentinel hospitals in Guangzhou, China, and were matched with the daily weather data during the same period. We applied a time-stratified case-crossover design followed by a conditional logistic regression to evaluate the association between precipitation and work-related injuries. Covariates included wind speed, sunlight, temperature, SO(2), NO(2), and PM(2.5). Results were also stratified by multiple factors to identify the most vulnerable subgroups. RESULTS: Daily precipitation was a positive predictor of work-related injuries, with each 10 mm increase in precipitation being associated with an increase of 1.57% in the rate of injuries on the same day and 1.47–1.14% increase of injuries on subsequent 3 days. The results revealed that precipitation had a higher effect on work-related injuries in winter (4.92%; 95%CI: 1.77–8.17%). The elderly (2.07%; 95%CI: 0.64–3.51%), male (1.81%; 95%CI: 0.96–2.66%) workers or those with lower educational levels (2.58%; 95%CI: 1.59–3.54%) were more likely to suffer from injuries on rainy days. There was a higher risk for work-related injuries caused by falls (2.63%; 95%CI: 0.78–4.52%) or the use of glass products (1.75%; 95%CI: 0.49–3.02%) on rainy days. CONCLUSIONS: Precipitation was a prominent risk factor for work-related injury, and its adverse effect might endure for 3 days. Certain sub-groups of workers were more vulnerable to injuries in the rain.
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spelling pubmed-100181572023-03-17 The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design Tian, Tian Lin, Xiao Huang, Tingyuan Zhang, Kai Shi, Congxing Wang, Pengyu Chen, Shimin Guo, Tong Li, Zhiqiang Qin, Pengzhe Liang, Boheng Zhang, Wangjian Hao, Yuantao Front Public Health Public Health BACKGROUND: Injuries during work are often exogenous and can be easily influenced by environmental factors, especially weather conditions. Precipitation, a crucial weather factor, has been linked to unintentional injuries, yet evidence of its effect on work-related injuries is limited. Therefore, we aimed to clarify the impact of precipitation on injuries during work as well as its variation across numerous vulnerability features. METHODS: Records on the work-related injury during 2016–2020 were obtained from four sentinel hospitals in Guangzhou, China, and were matched with the daily weather data during the same period. We applied a time-stratified case-crossover design followed by a conditional logistic regression to evaluate the association between precipitation and work-related injuries. Covariates included wind speed, sunlight, temperature, SO(2), NO(2), and PM(2.5). Results were also stratified by multiple factors to identify the most vulnerable subgroups. RESULTS: Daily precipitation was a positive predictor of work-related injuries, with each 10 mm increase in precipitation being associated with an increase of 1.57% in the rate of injuries on the same day and 1.47–1.14% increase of injuries on subsequent 3 days. The results revealed that precipitation had a higher effect on work-related injuries in winter (4.92%; 95%CI: 1.77–8.17%). The elderly (2.07%; 95%CI: 0.64–3.51%), male (1.81%; 95%CI: 0.96–2.66%) workers or those with lower educational levels (2.58%; 95%CI: 1.59–3.54%) were more likely to suffer from injuries on rainy days. There was a higher risk for work-related injuries caused by falls (2.63%; 95%CI: 0.78–4.52%) or the use of glass products (1.75%; 95%CI: 0.49–3.02%) on rainy days. CONCLUSIONS: Precipitation was a prominent risk factor for work-related injury, and its adverse effect might endure for 3 days. Certain sub-groups of workers were more vulnerable to injuries in the rain. Frontiers Media S.A. 2023-03-02 /pmc/articles/PMC10018157/ /pubmed/36935708 http://dx.doi.org/10.3389/fpubh.2023.1117948 Text en Copyright © 2023 Tian, Lin, Huang, Zhang, Shi, Wang, Chen, Guo, Li, Qin, Liang, Zhang and Hao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Tian, Tian
Lin, Xiao
Huang, Tingyuan
Zhang, Kai
Shi, Congxing
Wang, Pengyu
Chen, Shimin
Guo, Tong
Li, Zhiqiang
Qin, Pengzhe
Liang, Boheng
Zhang, Wangjian
Hao, Yuantao
The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design
title The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design
title_full The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design
title_fullStr The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design
title_full_unstemmed The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design
title_short The risk of injuries during work and its association with precipitation: New insight from a sentinel-based surveillance and a case-crossover design
title_sort risk of injuries during work and its association with precipitation: new insight from a sentinel-based surveillance and a case-crossover design
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018157/
https://www.ncbi.nlm.nih.gov/pubmed/36935708
http://dx.doi.org/10.3389/fpubh.2023.1117948
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