Association of long-term exposure to fine particulate matter and incident dyslipidaemia: A longitudinal cohort study
Autor: | Yacong Bo, Changqing Lin, Xiang Qian Lao, Yuanchieh Chuang, Wun Kai Jiang, Chuan-Yao Lin, Zilong Zhang, Eng-Kiong Yeoh, Ta-Chien Chan, Cui Guo, Alexis K.H. Lau, Ly-yun Chang, Tony Tam |
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Rok vydání: | 2019 |
Předmět: |
Adult
Adolescent Fine particulate Taiwan 010501 environmental sciences complex mixtures 01 natural sciences Biochemistry 03 medical and health sciences 0302 clinical medicine Air Pollution Environmental health Humans Medicine Longitudinal Studies 030212 general & internal medicine Longitudinal cohort Sensitivity analyses Dyslipidemias 0105 earth and related environmental sciences General Environmental Science Air Pollutants Proportional hazards model business.industry Hazard ratio Environmental Exposure Confidence interval Large cohort Cohort Particulate Matter business |
Zdroj: | Environmental Research. 173:359-365 |
ISSN: | 0013-9351 |
DOI: | 10.1016/j.envres.2019.03.034 |
Popis: | Background 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. Methods 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. Results 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. Conclusion 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. |
Databáze: | OpenAIRE |
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