Association between Exposure to Metals in PM2.5 and Biomarker of Cardiovascular Effects among Healthy Adults in Taipei

• Main Authors: CHENG,KAI-WEI, 鄭凱偉
• Other Authors: LAI,CHING-HUANG
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/19241597626678754392

碩士 === 國防醫學院 === 公共衛生學研究所 === 104 === Abstract Epidemiological studies found that due to particles different composition will cause different health effects; studies indicate fine particle exposure may increase the risk of cardiovascular disease and death. The purpose of this study was to investigate the general population exposure to fine particles and the relation with early biological effects of cardiovascular disease (CVD). For this longitudinal study, recruited 82 subjects from 2 different areas (Area A [residential and commercial area] and Area B [industrial area]) in Taipei Metropolitan at baseline. We used personal samplers to collect 24 hours PM2.5 exposure samples. The study population underwent an interview and a health examination on the next day morning, where blood and urine samples were collected. All of subjects were repeated measured after two months for four months for two times of follow-up. Finally, subjects who had two times of follow-up data completely were included in the statistical analysis, and there were total 63 subjects (Area A：40 subjects / Area B：24 subjects). Generalized Linear Model (GLM) and Generalized Estimating Equation (GEE) to assess the relation of 8 metals exposure with CVD biomarkers at baseline and follow-up. We found PM2.5 and metal concentration in PM2.5 changed with the seasons, the highest in winter, and gradually decreased in spring and summer seasons. Cross-sectional analyses showed Cd in PM2.5 associated with increasing concentration of NO. While longitudinal analyses, Cu in PM2.5 was associated with increasing plasma NO. And As in PM2.5 was associated with hs-CRP. In conclusion, we found short-term exposure to metals in PM2.5, increase the concentration of plasma NO suggesting that it might be a useful biomarker of early biological effects to CVD in this longitudinal analyses.