Long-term Exposure to Air Pollution and Lipometabolic Disturbance: A Systematic Review and Meta-Analysis
Year: 2020
Type: preprint
Study designs: Systematic Review, Meta-Analysis
Abstract: Objectives To reveal the chronic effects of air pollutants on lipometabolic disturbance via detectable lipoprotein parameters. Study Design This is a systematic review and meta-analysis. Methods Seven online databases were searched to conduct a meta-analysis of epidemiological studies examining the relationship between air pollution and lipid parameter levels. Subgroup analysis was additionally carried out for each air pollutant studied. Results A total of 2,274 records were retrieved, resulting in 10 studies included in the final quantitative meta-analysis, comprising seven studies in Europe and the United States and three studies in mainland China. Using a random-effect model, the results showed that for each 10 μg/m 3 increment in PM 2.5 , TC, LDL-C, and HDL-C levels and metabolic syndrome (MetS) incidence increased by 3.31% (95% CI: 2.29%, 8.91%), 2.34% (95% CI: 1.30%, 3.39%),-1.57% (95% CI: −1.85%, −1.28%), and 4.33% (95% CI: 2.69%, 5.98%), respectively; for each 10 μg/m 3 increment in PM 10 , LDL-C, TG, HDL-C levels increased by 5.27% (95% CI: 2.03%, 8.50%), −0.24% (95% CI: −0.95%, −0.47%), and 0.45% (95% CI: −0.57%, 1.47%), respectively; for each 10 μg/m 3 increment in NO 2 , TG and HDL-C levels increased by 4.18% (95% CI: 1.12%, 7.23%) and −0.51% (95% CI: −2.61%, 1.58%), respectively. No significant associations were detected for combinations of air pollutants on lipometabolic disturbance. Conclusion Increased air pollutant exposure is significantly associated with fluctuation in blood lipid parameter levels, which can be an indicator of the body’s lipometabolic disturbance.
Source: medRxiv
Authors: Haohao Chen, Ye Zhu, Liuhua Shi, Andrew Rosenberg, Lixin Tao, Xingfan Zhou, Rui Chen, Ji Wang
Language: English
Subfield: Health, Toxicology and Mutagenesis
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3026160651