Association between ambient air pollutants and lipid profile: A systematic review and meta-analysis

Background: Studies of the effects of atmospheric pollutants on lipid profiles remain inconsistent and controversial. Aim: The study was aimed to investigate the relationship between the exposure to ambient air pollutants and variations in the blood lipid profiles in the population. Methods: A compr...

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Bibliographic Details
Main Authors: Chun Wang, Xing-chen Meng, Chao Huang, Jia Wang, Ying-hao Liao, Yang Huang, Ran Liu
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651323006449
Description
Summary:Background: Studies of the effects of atmospheric pollutants on lipid profiles remain inconsistent and controversial. Aim: The study was aimed to investigate the relationship between the exposure to ambient air pollutants and variations in the blood lipid profiles in the population. Methods: A comprehensive search of three different databases (PubMed, Web of Science, and the Cochrane Library) until December 17, 2022, yielded 17 origional studies fulfilling the inclusion criteria for a meta-analysis. Aggregate effect measures and 95% confidence intervals (95% CI) for the relevant ambient air pollutants were deduced employing random effects models. Results: The collective meta-analysis indicated that long-term exposure to PM1, PM2.5, PM10 and CO showed a substantial correlation with TC (PM1: β = 2.04, 95%CI = 0.15–3.94; PM2.5: β = 1.11, 95%CI = 0.39–1.84; PM10: β = 1.70, 95%CI = 0.67–2.73; CO: β = 0.08, 95%CI = 0.06–0.10), PM10 exhibited a significant association with TG (β = 0. 537,95% CI = 0.09–0.97), whereas HDL-C demonstrated notable relationships with PM1, PM10, SO2 and CO (PM1: β = −2.38, 95%CI = −4.00 to −2.76; PM10: β = −0.77, 95%CI = −1.33 to −0.21; SO2: β = −0.91, 95%CI = −1.73 to −0.10; CO: β = −0.03, 95%CI = −0.05 to 0.00). PM2.5, PM10 also showed significant associations with LDL-C (PM2.5: β = 1.44 95%CI = 0.48–2.40; PM10: β = 1.62 95%CI = 0.90–2.34). Subgroup analysis revealed significant or stronger correlations predominantly in cohort study designs, with higher male comparisons, and in regions exhibiting elevated contaminant levels. Conclusion: In summary, the analysis substantiates that ambient air pollutants can be recognized as potent contributors to alterations in lipid profiles, particularly particulate pollutants which exert more obvious effects on lipid profiles.
ISSN:0147-6513