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- Title
Association between extreme temperature and acute myocardial infarction hospital admissions in Beijing, China: 2013–2016.
- Authors
Liu, Xiaole; Kong, Dehui; Fu, Jia; Zhang, Yongqiao; Liu, Yanbo; Zhao, Yakun; Lian, Hui; Zhao, Xiaoyi; Yang, Jun; Fan, Zhongjie
- Abstract
Over the past few decades, a growing body of epidemiological studies found the effects of temperature on cardiovascular disease, including the risk for acute myocardial infarction (AMI). Our study aimed to investigate whether there is an association between extremely temperature and acute myocardial infarction hospital admission in Beijng, China. We obtained 81029 AMI cases and daily temperature data from January 1, 2013 to December 31, 2016. We employed a time series design and modeled distributed lag nonlinear model (DLNM) to analyze effects of temperature on daily AMI cases. Compared with the 10th percentile temperature measured by daily mean temperature (Tmean), daily minimum temperature (Tmin) and daily minimum apparent temperature (ATmin), the cumulative relative risks (CRR) at 1st percentile of Tmean, Tmin and ATmin for AMI hospitalization were 1.15(95% CI: 1.02, 1.30), 1.24(95% CI: 1.11, 1.38) and 1.41(95% CI: 1.18, 1.68), respectively. Moderate low temperature (10th vs 25th) also had adverse impact on AMI events. The susceptive groups were males and people 65 years and older. No associations were found between high temperature and AMI risk. The main limitation of the study is temperature exposure was not individualized. These findings on cold-associated AMI hospitalization helps characterize the public health burden of cold and target interventions to reduce temperature induced AMI occurrence.
- Subjects
MYOCARDIAL infarction; HOSPITAL admission &; discharge; EPIDEMIOLOGY; DISTRIBUTED lags (Economics); CARDIOVASCULAR diseases
- Publication
PLoS ONE, 2018, Vol 13, Issue 10, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0204706