Department of Occupational and Environmental Medicine, College of Medicine, Ewha Womans University, Seoul 07804, Korea.
Inflammation-Cancer Microenvironment Research Center, College of Medicine, Ewha Womans University, Seoul 07804, Korea.
Int J Environ Res Public Health. 2021 Apr 30;18(9):4822. doi: 10.3390/ijerph18094822.
BACKGROUND/AIM: Previous studies have suggested that the short-term ambient air pollution and temperature are associated with myocardial infarction. In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID).
The daily data of 192,567 AMI cases in Seoul were collected from the nationwide, population-based KNHID from 2005 to 2014. The monitoring data of ambient PM2.5 from the Seoul Research Institute of Public Health and Environment were also collected. A generalized additive model (GAM) that allowed for a quasi-Poisson distribution was used to analyze the effects of PM2.5 and temperature on the incidence of AMI.
The models with PM2.5 lag structures of lag 0 and 2-day averages of lag 0 and 1 (lag 01) showed significant associations with AMI (Relative risk [RR]: 1.011, CI: 1.003-1.020 for lag 0, RR: 1.010, CI: 1.000-1.020 for lag 01) after adjusting the covariates. Stratification analysis conducted in the cold season (October-April) and the warm season (May-September) showed a significant lag 0 effect for AMI cases in the cold season only.
In conclusion, acute exposure to PM2.5 was significantly associated with AMI morbidity at lag 0 in Seoul, Korea. This increased risk was also observed at low temperatures.
背景/目的：先前的研究表明，短期的环境空气污染和温度与心肌梗死有关。在这项研究中，我们旨在通过使用来自韩国国家健康信息数据库（KNHID）的数据，对韩国 20 岁以上成年人中细颗粒物（PM2.5）和温度对急性心肌梗死（AMI）的影响进行时间序列分析。
从 2005 年至 2014 年，从全国性的基于人群的 KNHID 中收集了首尔 192567 例 AMI 病例的每日数据。还收集了首尔公共卫生与环境研究所的环境 PM2.5 监测数据。使用广义加性模型（GAM）来分析 PM2.5 和温度对 AMI 发生率的影响，该模型允许准泊松分布。
具有 PM2.5 滞后结构的模型（滞后 0 和滞后 0 天的 2 天平均值的滞后 01）显示与 AMI 显著相关（滞后 0 的相对风险 [RR]：1.011，CI：1.003-1.020，滞后 01 的 RR：1.010，CI：1.000-1.020），在调整了协变量后。在冷季（10 月至 4 月）和暖季（5 月至 9 月）进行的分层分析仅显示冷季 AMI 病例的滞后 0 效应显著。
总之，急性暴露于 PM2.5 与韩国首尔的 AMI 发病率在滞后 0 时显著相关。在低温下也观察到这种风险增加。
