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Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018

BACKGROUND: Many studies have shown that various kinds of diseases were associated with the variation of ambient temperature. However, there’s only a scrap of evidence paying attention to the link between temperature and skin diseases, and no relevant national research was performed in China. OBJECT...

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Autores principales: Huang, Yushu, Song, Hejia, Wang, Zixian, Cheng, Yibin, Liu, Yue, Hao, Shuxin, Li, Na, Wang, Yu, Wang, Yan, Zhang, Xinhang, Sun, Bo, Li, Yonghong, Yao, Xiaoyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626933/
https://www.ncbi.nlm.nih.gov/pubmed/36339999
http://dx.doi.org/10.1016/j.heliyon.2022.e11203
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author Huang, Yushu
Song, Hejia
Wang, Zixian
Cheng, Yibin
Liu, Yue
Hao, Shuxin
Li, Na
Wang, Yu
Wang, Yan
Zhang, Xinhang
Sun, Bo
Li, Yonghong
Yao, Xiaoyuan
author_facet Huang, Yushu
Song, Hejia
Wang, Zixian
Cheng, Yibin
Liu, Yue
Hao, Shuxin
Li, Na
Wang, Yu
Wang, Yan
Zhang, Xinhang
Sun, Bo
Li, Yonghong
Yao, Xiaoyuan
author_sort Huang, Yushu
collection PubMed
description BACKGROUND: Many studies have shown that various kinds of diseases were associated with the variation of ambient temperature. However, there’s only a scrap of evidence paying attention to the link between temperature and skin diseases, and no relevant national research was performed in China. OBJECTIVE: This study aimed to quantify the effect of heat on skin diseases and identify the vulnerable populations and areas in China. METHODS: Daily meteorological data, air pollutant data and outpatient data were collected from in 18 sites of China during 2014–2018. A time-series study with distributed lag nonlinear model and multivariate meta-analysis was applied to analyze the site-specific and pooled associations between daily mean temperature and daily outpatient visits of skin diseases by using the data of warm season (from June to September). Stratified analysis by age, sex and climate zones and subtypes of skin diseases were also conducted. RESULTS: We found a positive linear relationship between the ambient temperature and risk of skin diseases, with a 1.25% (95%CI: 0.34%, 2.16%) increase of risk of outpatient visits for each 1 °C increase in daily mean temperature during the warm season. In general, groups aged 18–44 years, males and people living in temperate climate regions were more susceptible to high temperature. Immune dysfunction including dermatitis and eczema were heat-sensitive skin diseases. CONCLUSIONS: Our findings suggested that people should take notice of heat-related skin diseases and also provided some references about related health burden for strategy-makers. Targeted measures for vulnerable populations need to be taken to reduce disease burden, including monitoring and early warning systems, and sun-protection measures.
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spelling pubmed-96269332022-11-03 Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018 Huang, Yushu Song, Hejia Wang, Zixian Cheng, Yibin Liu, Yue Hao, Shuxin Li, Na Wang, Yu Wang, Yan Zhang, Xinhang Sun, Bo Li, Yonghong Yao, Xiaoyuan Heliyon Research Article BACKGROUND: Many studies have shown that various kinds of diseases were associated with the variation of ambient temperature. However, there’s only a scrap of evidence paying attention to the link between temperature and skin diseases, and no relevant national research was performed in China. OBJECTIVE: This study aimed to quantify the effect of heat on skin diseases and identify the vulnerable populations and areas in China. METHODS: Daily meteorological data, air pollutant data and outpatient data were collected from in 18 sites of China during 2014–2018. A time-series study with distributed lag nonlinear model and multivariate meta-analysis was applied to analyze the site-specific and pooled associations between daily mean temperature and daily outpatient visits of skin diseases by using the data of warm season (from June to September). Stratified analysis by age, sex and climate zones and subtypes of skin diseases were also conducted. RESULTS: We found a positive linear relationship between the ambient temperature and risk of skin diseases, with a 1.25% (95%CI: 0.34%, 2.16%) increase of risk of outpatient visits for each 1 °C increase in daily mean temperature during the warm season. In general, groups aged 18–44 years, males and people living in temperate climate regions were more susceptible to high temperature. Immune dysfunction including dermatitis and eczema were heat-sensitive skin diseases. CONCLUSIONS: Our findings suggested that people should take notice of heat-related skin diseases and also provided some references about related health burden for strategy-makers. Targeted measures for vulnerable populations need to be taken to reduce disease burden, including monitoring and early warning systems, and sun-protection measures. Elsevier 2022-10-22 /pmc/articles/PMC9626933/ /pubmed/36339999 http://dx.doi.org/10.1016/j.heliyon.2022.e11203 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Huang, Yushu
Song, Hejia
Wang, Zixian
Cheng, Yibin
Liu, Yue
Hao, Shuxin
Li, Na
Wang, Yu
Wang, Yan
Zhang, Xinhang
Sun, Bo
Li, Yonghong
Yao, Xiaoyuan
Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018
title Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018
title_full Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018
title_fullStr Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018
title_full_unstemmed Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018
title_short Heat and outpatient visits of skin diseases – A multisite analysis in China, 2014–2018
title_sort heat and outpatient visits of skin diseases – a multisite analysis in china, 2014–2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626933/
https://www.ncbi.nlm.nih.gov/pubmed/36339999
http://dx.doi.org/10.1016/j.heliyon.2022.e11203
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