Correlation between ambient temperature and mortality risk and burden of circulatory diseases in Hohhot

LI Huan; YANG Shengmei; YUE Xuanzhi; WU Duoduo; ZHANG Wenyu; JIA Xinrui; WEI Nana; KANG Weiwei; FAN Yaochun

doi:10.16462/j.cnki.zhjbkz.2024.10.010

Volume 28 Issue 10

Oct. 2024

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2024 > 28(10): 1176-1183

LI Huan, YANG Shengmei, YUE Xuanzhi, WU Duoduo, ZHANG Wenyu, JIA Xinrui, WEI Nana, KANG Weiwei, FAN Yaochun. Correlation between ambient temperature and mortality risk and burden of circulatory diseases in Hohhot[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1176-1183. doi: 10.16462/j.cnki.zhjbkz.2024.10.010

Citation:

LI Huan, YANG Shengmei, YUE Xuanzhi, WU Duoduo, ZHANG Wenyu, JIA Xinrui, WEI Nana, KANG Weiwei, FAN Yaochun. Correlation between ambient temperature and mortality risk and burden of circulatory diseases in Hohhot[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1176-1183. doi: 10.16462/j.cnki.zhjbkz.2024.10.010

Citation:

LI Huan, YANG Shengmei, YUE Xuanzhi, WU Duoduo, ZHANG Wenyu, JIA Xinrui, WEI Nana, KANG Weiwei, FAN Yaochun. Correlation between ambient temperature and mortality risk and burden of circulatory diseases in Hohhot[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(10): 1176-1183. doi: 10.16462/j.cnki.zhjbkz.2024.10.010

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Correlation between ambient temperature and mortality risk and burden of circulatory diseases in Hohhot

doi: 10.16462/j.cnki.zhjbkz.2024.10.010

LI Huan^{1, 2},
YANG Shengmei¹,
YUE Xuanzhi¹,
WU Duoduo⁵,
ZHANG Wenyu³,
JIA Xinrui³,
WEI Nana^{1
,
,},
KANG Weiwei^{1
,
,},
FAN Yaochun^{1, 3, 4
,
,}

1.
Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine), Hohhot 010070, China
2.
Baotou Center for Disease Control and Prevention, Baotou 014010, China
3.
Inner Mongolia Medical University, Hohhot 010107, China
4.
Inner Mongolia Engineneering and Technical Research Center for Personalized Medicine, Tongliao 028000, China
5.
Ulanqab Central Hospital, Ulanqab 011800, China

Funds:

Inner Mongolia Autonomous Region Health and Health Science and Technology Plan Project 202201156

Natural Science Foundation of Inner Mongolia 2024MS03039

Natural Fund of Inner Mongolia 2024QN08087

More Information

Corresponding author: WEI Nana, E-mail: 1113422006@qq.com; KANG Weiwei, E-mail: kx_260233@hotmail.com; FAN Yaochun, E-mail: fyc840815@163.com
Received Date: 2023-12-22
Rev Recd Date: 2024-05-17

Available Online: 2024-12-11

Publish Date: 2024-10-10

Abstract

Abstract

Objective To investigate the impact of extreme temperature weather on the risk of cardiovascular disease-related mortality among local residents in Hohhot City from 2014 to 2022, calculate the attributable risk, and provide a basis for the rational allocation of climate environmental health resources. Methods Using descriptive analysis methods, statistically describe and analyze the data of cardiovascular disease-related deaths (50 032 people) over 9 consecutive years in Hohhot City, along with meteorological data, and analyze the overall characteristics and trends of the residents′ mortality rates year by year. Quantitatively analyze the exposure-lag-response relationship between extreme temperatures and cardiovascular disease mortality using a distributed lag non-linear model, and further stratify the analysis by gender and age. Results There was a negative correlation between the number of daily deaths from circulatory diseases and the average daily temperature, indicating that the lower the temperature, the higher the number of deaths. Extreme low temperatures had a relatively rapid and longer-lasting impact on cardiovascular disease mortality. The exposure-lag-response relationship showed that for every 1 ℃ change in extreme temperature, the maximum cold effect on cardiovascular disease occurred at lag 3 days for the overall population as well as for males, females, individuals aged < 65, and those aged ≥65. The corresponding relative risk (RR) values were 1.027, 1.026, 1.033, 1.022, and 1.045, respectively. The heat effect had a significant impact at lag 7 and lag 5 days on the overall population and residents aged 65 and above, with RR values of 1.040 and 1.045, respectively. Both the cold effect and the heat effect had statistically significant impacts (P < 0.05) on cardiovascular diseases in the overall population with a cumulative lag of 21 days, with RR values of 1.131 and 1.145, respectively. During the study period, the specific mortality rate of cardiovascular diseases due to extreme temperatures in the overall population was 5.87%. Stratified analysis revealed a higher specific mortality rate among individuals aged 65 and above. Conclusions Extreme temperature weather can increase the risk of cardiovascular disease-related mortality among local residents, with a greater impact on individuals aged 65 and above. Residents of Hohhot City are more sensitive to the cold effect in terms of cardiovascular disease.
- Extreme temperature,
- Distribution lag nonlinear model,
- Circulatory diseases,
- Time series

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References(27)

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