Modeling the impacts of ambient temperatures on cardiovascular mortality in Yinchuan

evidence from a northwestern city of China

Huiling Zhang, Qingan Wang, Yajuan Zhang, Yi Yang, Yi Zhao, Jianren Sang, Yulong Zhang, Yine Zhang, Fan Xie, Shanshan Li, Yuhong Zhang, Yuming Guo

Research output: Contribution to journalArticleResearchpeer-review

Abstract

No evidence is available on whether cardiovascular mortality is affected by the ambient temperatures in Yinchuan, which is located in the northwestern region of China, with a typical continental semi-humid semi-arid climate. Daily data on cardiovascular mortality and meteorological factors was collected from Yinchuan city for the period of 2010–2015. A distributed lag non-linear model with quasi-Poisson link was used to assess the association between daily temperatures and cardiovascular deaths, after controlling for seasonality, day of the week, atmospheric pressure, humidity, sunshine duration, and wind speed. The relationship between ambient temperature and cardiovascular mortality was non-linear, with a U-shaped exposure-response curve. For all cardiovascular mortality, the effects of high temperatures appeared at lag 2–5 days, with the largest hot effect at lag 3 day (RR 1.082, 95% CI 1.021–1.146), while the effects of cold temperatures were insignificant. Both cold and high temperatures have more serious influence on the elderly (age ≥ 65) and males than the youth and females, respectively. The study has shown that both cold and high temperatures affect cardiovascular mortality. The findings may be helpful to identify the susceptible subgroups of cardiovascular mortality induced by temperatures, and to provide useful information for establishing public health programs that would better protect local population health from ambient temperatures.

Original languageEnglish
Pages (from-to)6063-6043
Number of pages8
JournalEnvironmental Science and Pollution Research
Volume25
Issue number6
DOIs
Publication statusPublished - Feb 2018

Keywords

  • Ambient temperatures
  • Cardiovascular mortality
  • Distributed lag non-linear model
  • Northwestern China
  • Time-series

Cite this

Zhang, Huiling ; Wang, Qingan ; Zhang, Yajuan ; Yang, Yi ; Zhao, Yi ; Sang, Jianren ; Zhang, Yulong ; Zhang, Yine ; Xie, Fan ; Li, Shanshan ; Zhang, Yuhong ; Guo, Yuming. / Modeling the impacts of ambient temperatures on cardiovascular mortality in Yinchuan : evidence from a northwestern city of China. In: Environmental Science and Pollution Research. 2018 ; Vol. 25, No. 6. pp. 6063-6043.
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title = "Modeling the impacts of ambient temperatures on cardiovascular mortality in Yinchuan: evidence from a northwestern city of China",
abstract = "No evidence is available on whether cardiovascular mortality is affected by the ambient temperatures in Yinchuan, which is located in the northwestern region of China, with a typical continental semi-humid semi-arid climate. Daily data on cardiovascular mortality and meteorological factors was collected from Yinchuan city for the period of 2010–2015. A distributed lag non-linear model with quasi-Poisson link was used to assess the association between daily temperatures and cardiovascular deaths, after controlling for seasonality, day of the week, atmospheric pressure, humidity, sunshine duration, and wind speed. The relationship between ambient temperature and cardiovascular mortality was non-linear, with a U-shaped exposure-response curve. For all cardiovascular mortality, the effects of high temperatures appeared at lag 2–5 days, with the largest hot effect at lag 3 day (RR 1.082, 95{\%} CI 1.021–1.146), while the effects of cold temperatures were insignificant. Both cold and high temperatures have more serious influence on the elderly (age ≥ 65) and males than the youth and females, respectively. The study has shown that both cold and high temperatures affect cardiovascular mortality. The findings may be helpful to identify the susceptible subgroups of cardiovascular mortality induced by temperatures, and to provide useful information for establishing public health programs that would better protect local population health from ambient temperatures.",
keywords = "Ambient temperatures, Cardiovascular mortality, Distributed lag non-linear model, Northwestern China, Time-series",
author = "Huiling Zhang and Qingan Wang and Yajuan Zhang and Yi Yang and Yi Zhao and Jianren Sang and Yulong Zhang and Yine Zhang and Fan Xie and Shanshan Li and Yuhong Zhang and Yuming Guo",
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Modeling the impacts of ambient temperatures on cardiovascular mortality in Yinchuan : evidence from a northwestern city of China. / Zhang, Huiling; Wang, Qingan; Zhang, Yajuan; Yang, Yi; Zhao, Yi; Sang, Jianren; Zhang, Yulong; Zhang, Yine; Xie, Fan; Li, Shanshan; Zhang, Yuhong; Guo, Yuming.

In: Environmental Science and Pollution Research, Vol. 25, No. 6, 02.2018, p. 6063-6043.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Modeling the impacts of ambient temperatures on cardiovascular mortality in Yinchuan

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AU - Zhang, Huiling

AU - Wang, Qingan

AU - Zhang, Yajuan

AU - Yang, Yi

AU - Zhao, Yi

AU - Sang, Jianren

AU - Zhang, Yulong

AU - Zhang, Yine

AU - Xie, Fan

AU - Li, Shanshan

AU - Zhang, Yuhong

AU - Guo, Yuming

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N2 - No evidence is available on whether cardiovascular mortality is affected by the ambient temperatures in Yinchuan, which is located in the northwestern region of China, with a typical continental semi-humid semi-arid climate. Daily data on cardiovascular mortality and meteorological factors was collected from Yinchuan city for the period of 2010–2015. A distributed lag non-linear model with quasi-Poisson link was used to assess the association between daily temperatures and cardiovascular deaths, after controlling for seasonality, day of the week, atmospheric pressure, humidity, sunshine duration, and wind speed. The relationship between ambient temperature and cardiovascular mortality was non-linear, with a U-shaped exposure-response curve. For all cardiovascular mortality, the effects of high temperatures appeared at lag 2–5 days, with the largest hot effect at lag 3 day (RR 1.082, 95% CI 1.021–1.146), while the effects of cold temperatures were insignificant. Both cold and high temperatures have more serious influence on the elderly (age ≥ 65) and males than the youth and females, respectively. The study has shown that both cold and high temperatures affect cardiovascular mortality. The findings may be helpful to identify the susceptible subgroups of cardiovascular mortality induced by temperatures, and to provide useful information for establishing public health programs that would better protect local population health from ambient temperatures.

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