Global climate change

Impact of diurnal temperature range on mortality in Guangzhou, China

Jun Yang, Hua Zhang Liu, Chun Quan Ou, Guo Zhen Lin, Qin Zhou, Gi Chuan Shen, Ping Yan Chen, Yuming Guo

Research output: Contribution to journalArticleResearchpeer-review

69 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)131-136
Number of pages6
JournalEnvironmental Pollution
Volume175
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Cardiovascular
  • Diurnal temperature range
  • Mortality
  • Respiratory

Cite this

Yang, Jun ; Liu, Hua Zhang ; Ou, Chun Quan ; Lin, Guo Zhen ; Zhou, Qin ; Shen, Gi Chuan ; Chen, Ping Yan ; Guo, Yuming. / Global climate change : Impact of diurnal temperature range on mortality in Guangzhou, China. In: Environmental Pollution. 2013 ; Vol. 175. pp. 131-136.
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title = "Global climate change: Impact of diurnal temperature range on mortality in Guangzhou, China",
abstract = "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.",
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Global climate change : Impact of diurnal temperature range on mortality in Guangzhou, China. / Yang, Jun; Liu, Hua Zhang; Ou, Chun Quan; Lin, Guo Zhen; Zhou, Qin; Shen, Gi Chuan; Chen, Ping Yan; Guo, Yuming.

In: Environmental Pollution, Vol. 175, 2013, p. 131-136.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Yang, Jun

AU - Liu, Hua Zhang

AU - Ou, Chun Quan

AU - Lin, Guo Zhen

AU - Zhou, Qin

AU - Shen, Gi Chuan

AU - Chen, Ping Yan

AU - Guo, Yuming

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N2 - 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.

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