TY - JOUR
T1 - Modeling the impacts of ambient temperatures on cardiovascular mortality in Yinchuan
T2 - evidence from a northwestern city of China
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
PY - 2018/2
Y1 - 2018/2
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.
AB - 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.
KW - Ambient temperatures
KW - Cardiovascular mortality
KW - Distributed lag non-linear model
KW - Northwestern China
KW - Time-series
UR - http://www.scopus.com/inward/record.url?scp=85037977042&partnerID=8YFLogxK
U2 - 10.1007/s11356-017-0920-3
DO - 10.1007/s11356-017-0920-3
M3 - Article
AN - SCOPUS:85037977042
SN - 0944-1344
VL - 25
SP - 6063
EP - 6043
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 6
ER -