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The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China
BACKGROUND: The effects of meteorological factors and air pollutants on respiratory diseases (RDs) were various in different populations according to the demographic characteristics, and children were considered a vulnerable population. Previous studies were mainly based in cities with serious air p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Society of Global Health
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380967/ https://www.ncbi.nlm.nih.gov/pubmed/35973040 http://dx.doi.org/10.7189/jogh.12.11010 |
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author | Wu, Zhengqin Miao, Chong Li, Haibo Wu, Shaowei Gao, Haiyan Liu, Wenjuan Li, Wei Xu, Libo Liu, Guanghua Zhu, Yibing |
author_facet | Wu, Zhengqin Miao, Chong Li, Haibo Wu, Shaowei Gao, Haiyan Liu, Wenjuan Li, Wei Xu, Libo Liu, Guanghua Zhu, Yibing |
author_sort | Wu, Zhengqin |
collection | PubMed |
description | BACKGROUND: The effects of meteorological factors and air pollutants on respiratory diseases (RDs) were various in different populations according to the demographic characteristics, and children were considered a vulnerable population. Previous studies were mainly based in cities with serious air pollution. This study aimed to qualify the lag effects of meteorological factors and air pollution on respiratory diseases among children under 18 years old in Fuzhou. METHODS: Meteorological data, air pollutants concentrations and hospital admission data of Fujian Maternity and Child Health Hospital between 2015 and 2019 were collected. A Distributed Lag Nonlinear Model (DLNM) was used to evaluate the nonlinear and lagged effect of meteorological factors and air pollutants on daily RDs number. A subgroup analysis was also conducted to evaluate the effect on different sex groups and age groups. RESULTS: A total number of 796 125 RDs visits was included during the study period. For meteorological factors, lower mean temperature and relative humidity were significantly associated with daily RDs number (peak relative risk (RR) = 1.032 (95% confidence interval (CI) = 1.011-1.053) and 1.021 (95% CI = 1.013-1.029)), while lower wind speed showed a significant association at low range (peak RR = 0.995 (95% CI = 0.992-0.999)). Temperature warming was a significant protective factor for RDs (peak RR = 0.989 (95% CI = 0.986-0.993)). For air pollutants, SO(2), NO(2), PM(10) and PM(2.5) were all significantly associated with RDs (peak RR = 1.028 (95% CI = 1.022-1.035), 1.024 (95% CI = 1.013-1.034), 1.036 (95% CI = 1.025-1.047), 1.028 (95% CI = 1.019-1.037)), and the relationship had no threshold. The estimated RR and peak lag day did not change extremely between subgroups. CONCLUSIONS: The findings provide statistical evidence for the prevention of child RDs. In addition, our findings suggested that even at low concentrations, air pollutants still have negative effects on the respiratory system. |
format | Online Article Text |
id | pubmed-9380967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | International Society of Global Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-93809672022-08-26 The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China Wu, Zhengqin Miao, Chong Li, Haibo Wu, Shaowei Gao, Haiyan Liu, Wenjuan Li, Wei Xu, Libo Liu, Guanghua Zhu, Yibing J Glob Health Research Theme 7: Health Transitions in China BACKGROUND: The effects of meteorological factors and air pollutants on respiratory diseases (RDs) were various in different populations according to the demographic characteristics, and children were considered a vulnerable population. Previous studies were mainly based in cities with serious air pollution. This study aimed to qualify the lag effects of meteorological factors and air pollution on respiratory diseases among children under 18 years old in Fuzhou. METHODS: Meteorological data, air pollutants concentrations and hospital admission data of Fujian Maternity and Child Health Hospital between 2015 and 2019 were collected. A Distributed Lag Nonlinear Model (DLNM) was used to evaluate the nonlinear and lagged effect of meteorological factors and air pollutants on daily RDs number. A subgroup analysis was also conducted to evaluate the effect on different sex groups and age groups. RESULTS: A total number of 796 125 RDs visits was included during the study period. For meteorological factors, lower mean temperature and relative humidity were significantly associated with daily RDs number (peak relative risk (RR) = 1.032 (95% confidence interval (CI) = 1.011-1.053) and 1.021 (95% CI = 1.013-1.029)), while lower wind speed showed a significant association at low range (peak RR = 0.995 (95% CI = 0.992-0.999)). Temperature warming was a significant protective factor for RDs (peak RR = 0.989 (95% CI = 0.986-0.993)). For air pollutants, SO(2), NO(2), PM(10) and PM(2.5) were all significantly associated with RDs (peak RR = 1.028 (95% CI = 1.022-1.035), 1.024 (95% CI = 1.013-1.034), 1.036 (95% CI = 1.025-1.047), 1.028 (95% CI = 1.019-1.037)), and the relationship had no threshold. The estimated RR and peak lag day did not change extremely between subgroups. CONCLUSIONS: The findings provide statistical evidence for the prevention of child RDs. In addition, our findings suggested that even at low concentrations, air pollutants still have negative effects on the respiratory system. International Society of Global Health 2022-08-17 /pmc/articles/PMC9380967/ /pubmed/35973040 http://dx.doi.org/10.7189/jogh.12.11010 Text en Copyright © 2022 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Theme 7: Health Transitions in China Wu, Zhengqin Miao, Chong Li, Haibo Wu, Shaowei Gao, Haiyan Liu, Wenjuan Li, Wei Xu, Libo Liu, Guanghua Zhu, Yibing The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China |
title | The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China |
title_full | The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China |
title_fullStr | The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China |
title_full_unstemmed | The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China |
title_short | The lag-effects of meteorological factors and air pollutants on child respiratory diseases in Fuzhou, China |
title_sort | lag-effects of meteorological factors and air pollutants on child respiratory diseases in fuzhou, china |
topic | Research Theme 7: Health Transitions in China |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380967/ https://www.ncbi.nlm.nih.gov/pubmed/35973040 http://dx.doi.org/10.7189/jogh.12.11010 |
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