Abstract：
Non-optimal ambient temperatures are risk factors for myocardial infarction (MI) and urban-rural temperature differences in the context of climate change may have caused and will lead to differential association between temperature and MI. We collected daily mean temperature and daily MI deaths from 1 January 2016 to 31 December 2020 in Anhui Province, China. A distributed lag nonlinear model was performed to estimate the area-specific association of heat and cold (defined as the 2.5th and 97.5th percentile of the daily mean temperature) with MI mortality; the random-effects meta-analysis was then used to pool the effects of cold and heat. We found the risk of MI death due to cold was higher in rural areas [relative risk (RR): 1.13, 95% confidence interval (CI): 1.02-1.26, lag0) than in urban areas (RR: 0.99, 95% CI: 0.80-1.21, lag0), whereas the risk of MI death associated with heat was higher in urban areas (RR: 1.14, 95% CI: 1.03-1.27, lag0) than in rural areas (RR: 1.04, 95% CI: 0.99-1.10, lag0). Our findings may help to develop targeted protective strategies to reduce the adverse effects of cold and heat on cardiovascular disease.
摘要：
非最佳环境温度是心肌梗塞（MI）的危险因素，在气候变化的背景下，城乡温度差异可能已经引起并将导致温度与MI之间的不同关联。我们收集了安徽省2016年1月1日至2020年12月31日的每日平均温度和每日MI死亡人数。中国。进行了分布式滞后非线性模型，以估计特定区域的热和冷（定义为每日平均温度的第2.5和97.5百分位数）与MI死亡率的关联；然后使用随机效应荟萃分析来汇集冷和热的影响。我们发现，农村地区[相对风险（RR）：1.13，95％置信区间（CI）：1.02-1.26，lag0）比城市地区（RR：0.99，95％CI：0.80-1.21，lag0），而与热相关的MI死亡风险在城市地区(RR:1.14,95%CI:1.03-1.27,lag0)高于农村地区(RR:1.04,95%CI:0.99-1.10,lag0).我们的发现可能有助于制定有针对性的保护策略，以减少寒冷和热量对心血管疾病的不利影响。
