Long-term effects of PM2.5 constituents on metabolic syndrome and mediation effects of serum uric acid

被引:3
|
作者
Cai, Changwei [2 ]
Chen, Yang [1 ,3 ]
Feng, Chuanteng [4 ,5 ]
Shao, Ying [1 ]
Ye, Tingting [2 ]
Yu, Bin [4 ,5 ]
Jia, Peng [6 ,7 ,8 ,9 ]
Yang, Shujuan [1 ,2 ,9 ,10 ,11 ,12 ,13 ]
机构
[1] Sichuan Univ, West China Sch Publ Hlth, Chengdu, Peoples R China
[2] Sichuan Univ, West China Hosp 4, Chengdu, Peoples R China
[3] Yunnan Ctr Dis Prevent & Control, Kunming, Peoples R China
[4] Kunming Med Univ, Sch Publ Hlth, Kunming, Peoples R China
[5] Hong Kong Polytech Univ, Sichuan Univ, Inst Disaster Management & Reconstruct, Chengdu, Peoples R China
[6] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China
[7] Hubei Luojia Lab, Wuhan, Peoples R China
[8] Wuhan Univ, Sch Publ Hlth, Wuhan, Peoples R China
[9] Wuhan Univ, Int Inst Spatial Lifecourse Hlth ISLE, Wuhan, Peoples R China
[10] Chengdu Univ, Clin Med Coll, Dept Hlth Management Ctr, Chengdu, Peoples R China
[11] Chengdu Univ, Affiliated Hosp, Chengdu, Peoples R China
[12] Sichuan Univ, West China Sch Publ Hlth, Chengdu 610041, Peoples R China
[13] Sichuan Univ, West China Hosp 4, Chengdu 610041, Peoples R China
基金
中国国家自然科学基金;
关键词
Metabolic syndrome; PM2.5; constituents; Serum uric acid; Mediation analysis; FINE PARTICULATE MATTER; AIR-POLLUTION; CHEMICAL-COMPOSITION; AMBIENT AIR; EXPOSURE; CHINA; RISK; HYPERURICEMIA; INFLAMMATION; COMPONENTS;
D O I
10.1016/j.envpol.2023.122979
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Exposure to particulate matter with aerodynamic diameter <= 2.5 mu m (PM2.5) was associated with the risk for metabolic syndrome (MetS) in the general population, but the contributions of individual PM2.5 constituents to this association and the potential pathway between PM2.5 constituents and MetS risk are not well elaborated. This study aimed to investigate associations between PM2.5 constituents and MetS in general populations, relative importance of PM2.5 constituents to and mediation effects of serum uric acid (SUA) on those associations. The 48,148 participants from a provincially representative cohort established in southwest China were included. The 3-year average concentrations of PM2.5 and its constituents (nitrate [NO3 ], sulfate [SO42 ], ammonium [NH4+], organic matter [OM], and black carbon [BC]) were estimated using a series of machine-learning models. Multivariate logistic regression and weighted quantile sum regression were used to estimate effects of inde-pendent PM2.5 constituents on MetS and their contributions to the joint effect. Mediation analysis examined the potential mediation effects of SUA on the associations between PM2.5 constituents and MetS. Each interquartile range (IQR) increase in the concentration of PM2.5 constituents was all positively associated with the increased MetS odds, including SO42 (OR = 1.15 [1.11, 1.19]]), NO3 (OR = 1.12 [1.08, 1.16]), NH4+ (OR = 1.13 [1.09, 1.17]), OM (OR = 1.09 [1.06, 1.13]), and BC (OR = 1.09 [1.06, 1.13]). Their joint associations on MetS were mainly attributed to SO42 (weight=46.1%) and NH4+ (44.0%). The associations of PM2.5 constituents with abnormal MetS components were mainly attributed to NH4+ for elevated BP (51.6%) and reduced HDL-C (97.0%), SO42 for elevated FG (68.9%), NO3- for elevated TG (51.0%), and OM for elevated WC (63.0%). Percentages mediated by SUA for the associations of PM2.5, SO42 , NO3, and BC with MetS were 13.6%, 13.1%, 10.6%, and 11.1%, respectively. Long-term exposure to PM2.5 constituents, mainly NH4+ and SO42 , was positively associated with MetS odds, partially mediated by SUA.
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页数:9
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