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Effects of Meteorological Factors on Daily Hospital Admissions for Asthma in Adults: A Time-Series Analysis

Background There is limited evidence for the impacts of meteorological changes on asthma hospital admissions in adults in Shanghai, China. Objectives To quantitatively evaluate the short-term effects of daily mean temperature on asthma hospital admissions. Methods Daily hospital admissions for asthm... Full description

Journal Title: PLoS One Jul 2014, Vol.9(7), p.e102475
Main Author: Zhang, Yue
Other Authors: Li, Peng , Kan, Haidong , Xu, Jianming , Chen, Renjie , Liu, Yuan , Wang, Weibing
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0102475
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title: Effects of Meteorological Factors on Daily Hospital Admissions for Asthma in Adults: A Time-Series Analysis
format: Article
creator:
  • Zhang, Yue
  • Li, Peng
  • Kan, Haidong
  • Xu, Jianming
  • Chen, Renjie
  • Liu, Yuan
  • Wang, Weibing
subjects:
  • United States–Us
  • China
  • Li Peng
  • Cold
  • Asthma
  • Mortality
  • Asthma
  • Correlation Analysis
  • Temperature
  • Air Pollution
  • Risk
  • Climate Change
  • Asthma
  • Air Pollution
  • Health Insurance
  • Confidence Intervals
  • Time Series Analysis
  • Adults
  • Temperature Effects
ispartof: PLoS One, Jul 2014, Vol.9(7), p.e102475
description: Background There is limited evidence for the impacts of meteorological changes on asthma hospital admissions in adults in Shanghai, China. Objectives To quantitatively evaluate the short-term effects of daily mean temperature on asthma hospital admissions. Methods Daily hospital admissions for asthma and daily mean temperatures between January 2005 and December 2012 were analyzed. After controlling for secular and seasonal trends, weather, air pollution and other confounding factors, a Poisson generalized additive model (GAM) combined with a distributed lag non-linear model were used to explore the associations between temperature and hospital admissions for asthma. Results During the study periods, there were 15,678 hospital admissions for asthma by residents of Shanghai, an average 5.6 per day. Pearson correlation analysis found a significant negative correlation (r = −0.174, P
language: eng
source:
identifier: E-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0102475
fulltext: fulltext_linktorsrc
issn:
  • 19326203
  • 1932-6203
url: Link


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titleEffects of Meteorological Factors on Daily Hospital Admissions for Asthma in Adults: A Time-Series Analysis
creatorZhang, Yue ; Li, Peng ; Kan, Haidong ; Xu, Jianming ; Chen, Renjie ; Liu, Yuan ; Wang, Weibing
ispartofPLoS One, Jul 2014, Vol.9(7), p.e102475
identifierE-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0102475
subjectUnited States–Us ; China ; Li Peng ; Cold ; Asthma ; Mortality ; Asthma ; Correlation Analysis ; Temperature ; Air Pollution ; Risk ; Climate Change ; Asthma ; Air Pollution ; Health Insurance ; Confidence Intervals ; Time Series Analysis ; Adults ; Temperature Effects
descriptionBackground There is limited evidence for the impacts of meteorological changes on asthma hospital admissions in adults in Shanghai, China. Objectives To quantitatively evaluate the short-term effects of daily mean temperature on asthma hospital admissions. Methods Daily hospital admissions for asthma and daily mean temperatures between January 2005 and December 2012 were analyzed. After controlling for secular and seasonal trends, weather, air pollution and other confounding factors, a Poisson generalized additive model (GAM) combined with a distributed lag non-linear model were used to explore the associations between temperature and hospital admissions for asthma. Results During the study periods, there were 15,678 hospital admissions for asthma by residents of Shanghai, an average 5.6 per day. Pearson correlation analysis found a significant negative correlation (r = −0.174, P<0.001) between asthma hospitalizations and daily mean temperature (DMT). The DMT effect on asthma increased...
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descriptionBackground There is limited evidence for the impacts of meteorological changes on asthma hospital admissions in adults in Shanghai, China. Objectives To quantitatively evaluate the short-term effects of daily mean temperature on asthma hospital admissions. Methods Daily hospital admissions for asthma and daily mean temperatures between January 2005 and December 2012 were analyzed. After controlling for secular and seasonal trends, weather, air pollution and other confounding factors, a Poisson generalized additive model (GAM) combined with a distributed lag non-linear model were used to explore the associations between temperature and hospital admissions for asthma. Results During the study periods, there were 15,678 hospital admissions for asthma by residents of Shanghai, an average 5.6 per day. Pearson correlation analysis found a significant negative correlation (r = −0.174, P<0.001) between asthma hospitalizations and daily mean temperature (DMT). The DMT effect on asthma increased...
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titleEffects of Meteorological Factors on Daily Hospital Admissions for Asthma in Adults: A Time-Series Analysis
authorZhang, Yue ; Li, Peng ; Kan, Haidong ; Xu, Jianming ; Chen, Renjie ; Liu, Yuan ; Wang, Weibing
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abstractBackground There is limited evidence for the impacts of meteorological changes on asthma hospital admissions in adults in Shanghai, China. Objectives To quantitatively evaluate the short-term effects of daily mean temperature on asthma hospital admissions. Methods Daily hospital admissions for asthma and daily mean temperatures between January 2005 and December 2012 were analyzed. After controlling for secular and seasonal trends, weather, air pollution and other confounding factors, a Poisson generalized additive model (GAM) combined with a distributed lag non-linear model were used to explore the associations between temperature and hospital admissions for asthma. Results During the study periods, there were 15,678 hospital admissions for asthma by residents of Shanghai, an average 5.6 per day. Pearson correlation analysis found a significant negative correlation (r = −0.174, P<0.001) between asthma hospitalizations and daily mean temperature (DMT). The DMT effect on asthma increased...
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