TY - JOUR
T1 - Short-term effects of extreme temperatures on cause specific cardiovascular admissions in Beijing, China
AU - Aklilu, Deginet
AU - Wang, Tianqi
AU - Amsalu, Endwoke
AU - Feng, Wei
AU - Li, Zhiwei
AU - Li, Xia
AU - Tao, Lixin
AU - Luo, Yanxia
AU - Guo, Moning
AU - Liu, Xiangtong
AU - Guo, Xiuhua
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/7
Y1 - 2020/7
N2 - Extreme temperature-related cardiovascular diseases (CVDs) have become a growing public health concern. However, the impact of temperature on the cause of specific CVDs has not been well studied in the study area. The objective of this study was to assess the impact of temperature on cause-specific cardiovascular hospital admissions in Beijing, China. We obtained data from 172 large general hospitals from the Beijing Public Health Information Center Cardiovascular Case Database and China. Meteorological Administration covering 16 districts in Beijing from 2013 to 2017. We used a time-stratified case crossover design with a distributed lag nonlinear model (DLNM) to derive the impact of temperature on CVD in hospitals back to 27 days on CVD admissions. The temperature data were stratified as cold (extreme and moderate ) and hot (moderate and extreme ). Within five years (January 2013–December 2017), a total of 460,938 (male 54.9% and female 45.1%) CVD admission cases were reported. The exposure-response relationship for hospitalization was described by a “J” shape for the total and cause-specific. An increase in the six-day moving average temperature from moderate hot (30.2 °C) to extreme hot (36.9 °C) resulted in a significant increase in CVD admissions of 16.1%(95% CI = 12.8%–28.9%). However, the effect of cold temperature exposure on CVD admissions over a lag time of 0–27 days was found to be non significant, with a relative risk of 0.45 (95% CI = 0.378–0.55) for extreme cold (−8.5 °C)and 0.53 (95% CI = 0.47–0.60) for moderate cold (−5.6 °C). The results of this study indicate that exposure to extremely high temperatures is highly associated with an increase in cause-specific CVD admissions. These finding may guide to create and raise awareness of the general population, government and private sectors regarding on the effects of current weather conditions on CVD.
AB - Extreme temperature-related cardiovascular diseases (CVDs) have become a growing public health concern. However, the impact of temperature on the cause of specific CVDs has not been well studied in the study area. The objective of this study was to assess the impact of temperature on cause-specific cardiovascular hospital admissions in Beijing, China. We obtained data from 172 large general hospitals from the Beijing Public Health Information Center Cardiovascular Case Database and China. Meteorological Administration covering 16 districts in Beijing from 2013 to 2017. We used a time-stratified case crossover design with a distributed lag nonlinear model (DLNM) to derive the impact of temperature on CVD in hospitals back to 27 days on CVD admissions. The temperature data were stratified as cold (extreme and moderate ) and hot (moderate and extreme ). Within five years (January 2013–December 2017), a total of 460,938 (male 54.9% and female 45.1%) CVD admission cases were reported. The exposure-response relationship for hospitalization was described by a “J” shape for the total and cause-specific. An increase in the six-day moving average temperature from moderate hot (30.2 °C) to extreme hot (36.9 °C) resulted in a significant increase in CVD admissions of 16.1%(95% CI = 12.8%–28.9%). However, the effect of cold temperature exposure on CVD admissions over a lag time of 0–27 days was found to be non significant, with a relative risk of 0.45 (95% CI = 0.378–0.55) for extreme cold (−8.5 °C)and 0.53 (95% CI = 0.47–0.60) for moderate cold (−5.6 °C). The results of this study indicate that exposure to extremely high temperatures is highly associated with an increase in cause-specific CVD admissions. These finding may guide to create and raise awareness of the general population, government and private sectors regarding on the effects of current weather conditions on CVD.
KW - Admission
KW - Beijing
KW - Cardiovascular disease
KW - Distributed lag nonlinear model
KW - Temperature
UR - http://www.scopus.com/inward/record.url?scp=85083316778&partnerID=8YFLogxK
U2 - 10.1016/j.envres.2020.109455
DO - 10.1016/j.envres.2020.109455
M3 - Article
C2 - 32311528
AN - SCOPUS:85083316778
SN - 0013-9351
VL - 186
SP - 109455
JO - Environmental Research
JF - Environmental Research
M1 - 109455
ER -