A study of the Differences in Composition of Multi-Pollutant Air Pollution on Hospitalization due to Acute Myocardial Infarction in Taipei and Huadong

• Main Authors: Fang-Chi Tsai, 蔡芳淇
• Other Authors: Chien-Lung Chan
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/k496qn

碩士 === 元智大學 === 資訊管理學系 === 106 === We used National Health Institute Research Database (NHIRD) and Environmental Protection Administration (EPA) data to study multi-pollutant air pollution on hospitalization due to Acute Myocardial Infarction (AMI) in Taipei and Huadong. Data period was from 2005 to 2012. Multi-pollutant air pollution consisted of PM2.5、PM10、NO2、SO2、O3、CO. Using the principal components analysis (PCA) grouped up multi-pollutant air pollution in Taipei and Huadong. Grouping strongly related air pollution and created new variable values. Then using the new variable values conducted conditional logistic regression and used risk analysis of AMI patients with multi-pollutant air pollution. Analysis of air pollution values from lag 0 day to lag 3 day. Air pollution calculations included average, peak value (maximum) and peak value subtract valley value (maximum - minimum). In the grouping air Pollution of Taipei and Huadong, only the performance at the peak value was the same. Whether it was the average, peak value or peak value subtract valley value, PM2.5 and PM10 as well as NO2 and CO were both divided into the same group. Each air pollution group might affect AMI admission at different risk groups in Taipei. The people, especially the males, in Huadong needed to pay attention that when SO2 concentration was very serious and had huge change (peak value subtract valley value).