Explore the effect of apparent temperature and air pollutants on the admission rate of acute myocardial infarction in Chongqing, China: a time-series study
作者全名：Bai, Xiuyuan; Ming, Xin; Zhao, Mingming; Zhou, Li
作者地址：[Bai, Xiuyuan] Chongqing Med Univ, Sch Publ Hlth, Chongqing, Peoples R China; [Ming, Xin] Chongqing Hlth Ctr Women & Children, Chongqing, Peoples R China; [Ming, Xin] Chongqing Med Univ, Women & Childrens Hosp, Dept Qual Management Sect, Chongqing, Peoples R China; [Ming, Xin; Zhao, Mingming; Zhou, Li] Chongqing Med Univ, Sch Publ Hlth, Dept Epidemiol, Chongqing, Peoples R China
通信作者：Zhou, L (通讯作者)，Chongqing Med Univ, Sch Publ Hlth, Dept Epidemiol, Chongqing, Peoples R China.
来源：BMJ OPEN
ESI学科分类：CLINICAL MEDICINE
WOS号：WOS:001211059100020
JCR分区：Q1
影响因子：2.4
年份：2024
卷号：14
期号：4
开始页：
结束页：
文献类型：Article
关键词：myocardial infarction; public health; epidemiology
摘要：Objective Limited research has been conducted on the correlation between apparent temperature and acute myocardial infarction (AMI), as well as the potential impact of air pollutants in modifying this relationship. The objective of this study is to investigate the lagged effect of apparent temperature on AMI and assess the effect modification of environmental pollutants on this association.Design A time-series study.Setting and participants The data for this study were obtained from the Academy of Medical Data Science at Chongqing Medical University, covering daily hospitalisations for AMI between 1 January 2015 and 31 December 2016. Meteorological and air pollutant data were provided by China's National Meteorological Information Centre.Outcome measures We used a combined approach of quasi-Poisson generalised linear model and distributed lag non-linear model to thoroughly analyse the relationships. Additionally, we employed a generalised additive model to investigate the interaction between air pollutants and apparent temperature on the effect of AMI.Result A total of 872 patients admitted to hospital with AMI were studied based on the median apparent temperature (20.43 degrees C) in Chongqing. Low apparent temperature (10th, 7.19degree celsius) has obvious lagged effect on acute myocardial infarction, first appearing on the 8th day (risk ratio (RR) 1.081, 95% CI 1.010 to 1.158) and the greatest risk on the 11th day (RR 1.094, 95% CI 1.037 to 1.153). No lagged effect was observed at high apparent temperature. In subgroup analysis, women and individuals aged 75 and above were at high risk. The interaction analysis indicates that there exist significant interactions between PM2.5 and high apparent temperature, as well as nitrogen dioxide (NO2) and low apparent temperature.Conclusion The occurrence of decreased apparent temperature levels was discovered to be linked with a heightened relative risk of hospitalisations for AMI. PM2.5 and NO2 have an effect modification on the association between apparent temperature and admission rate of AMI.
基金机构：Chongqing Yuzhong District Natural Science Foundation [20210139]; National Natural Science Foundation of China [81773519]
基金资助正文：This study was supported by the funds of the Chongqing Yuzhong District Natural Science Foundation (20210139) and the National Natural Science Foundation of China (Grant No.81773519 to LZ).
