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

Yacong Bo, Ly-Yun Chang, Cui Guo, Zilong Zhang, Changqing Lin, Yuan Chieh Chuang, Wun Kai Jiang, Tony Tam, Ta-Chien Chan, Chuan-Yao Lin, Alexis KH Lau, Xiang Qian Lao*, Eng-Kiong Yeoh

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

13 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)359-365
Number of pages7
JournalEnvironmental Research
Volume173
Online published26 Mar 2019
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes

Funding

We would like to thank MJ Health Research Foundation for authorizing us to use the MJ health data (Authorization code: MJHR2015002A ). Any interpretation or conclusion described in this paper does not represent the views of MJ Health Research Foundation. This study is in part supported by Environmental Health Research Fund of the Chinese University of Hong Kong ( 7104946 ). Yacong Bo and Cui Guo are supported by the PhD Studentship of the Chinese University of Hong Kong .

Research Keywords

  • Cohort
  • Dyslipidaemia
  • Long-term exposure
  • PM

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