Associations of multiple plasma metals with the risk of metabolic syndrome: A cross-sectional study in the mid-aged and older population of China

医学 代谢综合征 人口 优势比 内科学 风险因素 体质指数 置信区间 流行病学 逻辑回归
作者
Suli Huang,Danrong Zhong,Ziquan Lv,Jinquan Cheng,Xuan Zou,Tian Wang,Ying Wen,Chao Wang,Shuyuan Yu,Hui Huang,Lu Li,Zhiqiang Nie
出处
期刊:Ecotoxicology and Environmental Safety [Elsevier BV]
卷期号:231: 113183-113183 被引量:2
标识
DOI:10.1016/j.ecoenv.2022.113183
摘要

Metal exposures have been reported to be related to the progress of metabolic syndrome (MetS), however, the currents results were still controversial, and the evidence about the effect of multi-metal exposure on MetS were limited. In this study, we intended to evaluate the relationships between metal mixture exposure and the prevalence of MetS in a mid-aged and older population of China. The plasma levels of 13 metals (aluminum, magnesium, calcium, iron, manganese, cobalt, copper, arsenic, zinc, selenium, cadmium, molybdenum and thallium) were detected by inductively coupled plasma mass spectrometry (ICP-MS) in 1277 adults recruited from the Eighth Affiliated Hospital of Sun Yat-Sen University (Shenzhen, China). Logistic regression, the adaptive least absolute shrinkage and selectionator operator (LASSO) penalized regression analysis and restricted cubic spline (RCS) analysis were used to explore the associations and dose-response relationships of plasma metals with MetS. To evaluate the cumulative effect of metals, the Bayesian Kernel Machine Regression (BKMR) model was applied. The concentrations of magnesium and molybdenum were lower in the MetS group ( p < 0.05). In the single-metal model, the adjusted ORs (95%CI) in the highest quartiles were 0.44 (0.35, 0.76) for magnesium and 0.30 (0.17, 0.51) for molybdenum compared with the lowest quartile. The negative associations and dose-dependent relationships of magnesium and molybdenum with MetS were further validated by the stepwise model, adaptive LASSO penalized regression and RCS analysis. The BKMR models showed that the metal mixture were associated with decreased MetS when the chemical mixtures were≥ 25th percentile compared to their medians, and Mg, Mo were the major contributors to the combined effect. Moreover, concentrations of magnesium were significantly related to blood glucose, and molybdenum was related with BMI, blood glucose and blood pressure. Elevated levels of plasma magnesium and molybdenum were associated with decreased prevalence of MetS. Further investigations in larger perspective cohorts are needed to confirm our findings. • High molybdenum and magnesium were inversely associated with the prevalence of MetS. • High Mo might have beneficial effects on BMI, blood glucose. • Magnesium was negatively related to the blood glucose levels.
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