Cargando…
Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China
BACKGROUND: Previous studies have shown that carbon monoxide (CO) poisoning occurs mostly in winter and is associated with severe cold weather (e.g., ice storms, temperature drops). However, according to previous studies, the impact of low temperature on health has a delayed effect, and the existing...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152301/ https://www.ncbi.nlm.nih.gov/pubmed/37143979 http://dx.doi.org/10.3389/fpubh.2023.1050256 |
_version_ | 1785035723440652288 |
---|---|
author | Wei, Jinli Ren, Aifeng Zhang, Yingjian Yin, Yuanrong Chu, Nan Ma, Yiwen Du, Jipei Cui, Liangliang Zhou, Chengchao |
author_facet | Wei, Jinli Ren, Aifeng Zhang, Yingjian Yin, Yuanrong Chu, Nan Ma, Yiwen Du, Jipei Cui, Liangliang Zhou, Chengchao |
author_sort | Wei, Jinli |
collection | PubMed |
description | BACKGROUND: Previous studies have shown that carbon monoxide (CO) poisoning occurs mostly in winter and is associated with severe cold weather (e.g., ice storms, temperature drops). However, according to previous studies, the impact of low temperature on health has a delayed effect, and the existing research cannot fully reveal the delayed effect of cold waves on CO poisoning. OBJECTIVES: The purpose of this study is to analyze the temporal distribution of CO poisoning in Jinan and to explore the acute effect of cold waves on CO poisoning. METHODS: We collected emergency call data for CO poisoning in Jinan from 2013 to 2020 and used a time-stratified case-crossover design combined with a conditional logistic regression model to evaluate the impact of the cold wave day and lag 0–8 days on CO poisoning. In addition, 10 definitions of a cold wave were considered to evaluate the impact of different temperature thresholds and durations. RESULTS: During the study period, a total of 1,387 cases of CO poisoning in Jinan used the emergency call system, and more than 85% occurred in cold months. Our findings suggest that cold waves are associated with an increased risk of CO poisoning in Jinan. When P01, P05, and P10 (P01, P05, and P10 refer to the 1st, 5th, and 10th percentiles of the lowest temperature, respectively) were used as temperature thresholds for cold waves, the most significant effects (the maximum OR value, which refers to the risk of CO poisoning on cold wave days compared to other days) were 2.53 (95% CI:1.54, 4.16), 2.06 (95% CI:1.57, 2.7), and 1.49 (95% CI:1.27, 1.74), respectively. CONCLUSION: Cold waves are associated with an increased risk of CO poisoning, and the risk increases with lower temperature thresholds and longer cold wave durations. Cold wave warnings should be issued and corresponding protective policies should be formulated to reduce the potential risk of CO poisoning. |
format | Online Article Text |
id | pubmed-10152301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101523012023-05-03 Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China Wei, Jinli Ren, Aifeng Zhang, Yingjian Yin, Yuanrong Chu, Nan Ma, Yiwen Du, Jipei Cui, Liangliang Zhou, Chengchao Front Public Health Public Health BACKGROUND: Previous studies have shown that carbon monoxide (CO) poisoning occurs mostly in winter and is associated with severe cold weather (e.g., ice storms, temperature drops). However, according to previous studies, the impact of low temperature on health has a delayed effect, and the existing research cannot fully reveal the delayed effect of cold waves on CO poisoning. OBJECTIVES: The purpose of this study is to analyze the temporal distribution of CO poisoning in Jinan and to explore the acute effect of cold waves on CO poisoning. METHODS: We collected emergency call data for CO poisoning in Jinan from 2013 to 2020 and used a time-stratified case-crossover design combined with a conditional logistic regression model to evaluate the impact of the cold wave day and lag 0–8 days on CO poisoning. In addition, 10 definitions of a cold wave were considered to evaluate the impact of different temperature thresholds and durations. RESULTS: During the study period, a total of 1,387 cases of CO poisoning in Jinan used the emergency call system, and more than 85% occurred in cold months. Our findings suggest that cold waves are associated with an increased risk of CO poisoning in Jinan. When P01, P05, and P10 (P01, P05, and P10 refer to the 1st, 5th, and 10th percentiles of the lowest temperature, respectively) were used as temperature thresholds for cold waves, the most significant effects (the maximum OR value, which refers to the risk of CO poisoning on cold wave days compared to other days) were 2.53 (95% CI:1.54, 4.16), 2.06 (95% CI:1.57, 2.7), and 1.49 (95% CI:1.27, 1.74), respectively. CONCLUSION: Cold waves are associated with an increased risk of CO poisoning, and the risk increases with lower temperature thresholds and longer cold wave durations. Cold wave warnings should be issued and corresponding protective policies should be formulated to reduce the potential risk of CO poisoning. Frontiers Media S.A. 2023-04-18 /pmc/articles/PMC10152301/ /pubmed/37143979 http://dx.doi.org/10.3389/fpubh.2023.1050256 Text en Copyright © 2023 Wei, Ren, Zhang, Yin, Chu, Ma, Du, Cui and Zhou. 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 Wei, Jinli Ren, Aifeng Zhang, Yingjian Yin, Yuanrong Chu, Nan Ma, Yiwen Du, Jipei Cui, Liangliang Zhou, Chengchao Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China |
title | Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China |
title_full | Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China |
title_fullStr | Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China |
title_full_unstemmed | Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China |
title_short | Quantifying the effects of cold waves on carbon monoxide poisoning: A time-stratified case-crossover study in Jinan, China |
title_sort | quantifying the effects of cold waves on carbon monoxide poisoning: a time-stratified case-crossover study in jinan, china |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152301/ https://www.ncbi.nlm.nih.gov/pubmed/37143979 http://dx.doi.org/10.3389/fpubh.2023.1050256 |
work_keys_str_mv | AT weijinli quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT renaifeng quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT zhangyingjian quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT yinyuanrong quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT chunan quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT mayiwen quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT dujipei quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT cuiliangliang quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina AT zhouchengchao quantifyingtheeffectsofcoldwavesoncarbonmonoxidepoisoningatimestratifiedcasecrossoverstudyinjinanchina |