Document Detail


Global climate change: Impact of diurnal temperature range on mortality in Guangzhou, China.
MedLine Citation:
PMID:  23377036     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Diurnal temperature range (DTR) is an important meteorological indicator associated with global climate change, but little is known about the effects of DTR on mortality. We examined the effects of DTR on cause-/age-/education-specific mortality in Guangzhou, a subtropical city in China during 2003-2010. A quasi-Poisson regression model combined with distributed lag non-linear model was used to examine the effects of DTR, after controlling for daily mean temperature, air pollutants, season and day of the week. A 1 °C increase in DTR at lag 0-4 days was associated with a 0.47% (95% confidence interval: 0.01%-0.93%) increase in non-accidental mortality. Stroke mortality was most sensitive to DTR. Female, the elderly and those with low education were more susceptible to DTR than male, the youth and those with high education, respectively. Our findings suggest that vulnerable subpopulations should pay more attention to protect themselves from unstable daily weather.
Authors:
Jun Yang; Hua-Zhang Liu; Chun-Quan Ou; Guo-Zhen Lin; Qin Zhou; Gi-Chuan Shen; Ping-Yan Chen; Yuming Guo
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-30
Journal Detail:
Title:  Environmental pollution (Barking, Essex : 1987)     Volume:  175C     ISSN:  1873-6424     ISO Abbreviation:  Environ. Pollut.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-2-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8804476     Medline TA:  Environ Pollut     Country:  -    
Other Details:
Languages:  ENG     Pagination:  131-136     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China. Electronic address: smart_yjun@163.com.
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