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

被引:4
|
作者
Wang, Chun [1 ]
Meng, Xing-chen [1 ]
Huang, Chao [1 ]
Wang, Jia [1 ]
Liao, Ying-hao [1 ]
Huang, Yang [1 ]
Liu, Ran [1 ,2 ]
机构
[1] Southeast Univ, Minist Educ, Sch Publ Hlth, Key Lab Environm Med & Engn, Nanjing 210009, Peoples R China
[2] Southeast Univ, 87 Ding Jia Qiao, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
Particulate matter; Gaseous pollutants; Lipid profile; Meta-analysis; DENSITY-LIPOPROTEIN CHOLESTEROL; GLOBAL ASSOCIATION; DISEASE EVIDENCE; BLOOD-PRESSURE; POLLUTION; RISK; EXPOSURE; ADULTS; PARTICLES; HEALTH;
D O I
10.1016/j.ecoenv.2023.115140
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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: & beta; = 2.04, 95%CI = 0.15-3.94; PM2.5: & beta; = 1.11, 95%CI = 0.39-1.84; PM10: & beta; = 1.70, 95%CI = 0.67-2.73; CO: & beta; = 0.08, 95%CI = 0.06-0.10), PM10 exhibited a significant association with TG (& beta; = 0. 537,95% CI = 0.09-0.97), whereas HDL-C demonstrated notable relationships with PM1, PM10, SO2 and CO (PM1: & beta; = -2.38, 95%CI = -4.00 to -2.76; PM10: & beta; = -0.77, 95%CI = -1.33 to -0.21; SO2: & beta; = -0.91, 95%CI = -1.73 to -0.10; CO: & beta; = -0.03, 95%CI = -0.05 to 0.00). PM2.5, PM10 also showed significant associations with LDL-C (PM2.5: & beta; = 1.44 95%CI = 0.48-2.40; PM10: & beta; = 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.
引用
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页数:8
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