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Association of long-term exposure to fine particulate matter and incident dyslipidaemia: A longitudinal cohort study

Bo, Yacong, Chang, Ly-Yun, Guo, Cui, Zhang, Zilong, Lin, Changqing, Chuang, Yuan Chieh, Jiang, Wun Kai, Tam, Tony, Chan, Ta-Chien, Lin, Chuan-Yao, Lau, Alexis KH., Lao, Xiang Qian, Yeoh, Eng-Kiong
Environmental research 2019 v.173 pp. 359-365
air pollution, chronic exposure, cohort studies, confidence interval, hyperlipidemia, models, particulates, pollution control, regression analysis, risk, satellites, Taiwan
Evidence of the effects of long-term exposure to fine particulate matter (PM2.5) air pollution on the development of dyslipidaemia is limited. This study aimed to investigate the association between long-term exposure to ambient PM2.5 and incident dyslipidaemia in a large cohort.We studied 66,702 participants aged ≥18 years belonging to a cohort from a standard medical examination programme conducted in Taiwan between 2001 and 2014. The PM2.5 concentration at each participant's address was estimated using a satellite-based spatiotemporal model at a high resolution (1 km2). A time-varying Cox regression model was used to examine the association between long-term exposure to ambient PM2.5 and the development of dyslipidaemia. Additionally, sensitivity analyses were conducted to examine the stability of these associations.Compared with participants exposed to the 1st tertile of PM2.5, participants exposed to the 2nd and 3rd tertiles of PM2.5 had respective hazard ratios of 1.02 [95% confidence interval (CI): 0.98–1.06] and 1.08 (95%CI: 1.04–1.13) for incident dyslipidaemia. Sensitivity analyses generally yielded similar results.Long-term exposure to ambient PM2.5 is associated with a higher risk of dyslipidaemia. Global strategies for reducing air pollution are needed to prevent the development of dyslipidaemia.