亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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]
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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
斯文败类应助读书的时候采纳,获得10
10秒前
12秒前
komorebi发布了新的文献求助10
16秒前
Akim应助撒旦asd采纳,获得10
24秒前
31秒前
小宋爱科研完成签到 ,获得积分10
32秒前
非蛋白呼吸商完成签到,获得积分10
34秒前
mengliu完成签到,获得积分0
36秒前
华仔应助ohhhhhoho采纳,获得10
41秒前
Criminology34应助komorebi采纳,获得10
45秒前
45秒前
zqq完成签到,获得积分0
45秒前
58秒前
1分钟前
英俊的铭应助读书的时候采纳,获得10
1分钟前
鱼贝贝完成签到 ,获得积分10
1分钟前
周凯发布了新的文献求助10
1分钟前
彭于晏应助科研通管家采纳,获得10
1分钟前
1分钟前
SAIL完成签到 ,获得积分10
1分钟前
李爱国应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
ohhhhhoho发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
烟消云散完成签到,获得积分10
1分钟前
孙泉发布了新的文献求助10
1分钟前
黎明前发布了新的文献求助10
1分钟前
古今奇观完成签到 ,获得积分10
1分钟前
黎明前完成签到,获得积分10
2分钟前
2分钟前
2分钟前
Weiyu完成签到 ,获得积分10
2分钟前
MiaCong完成签到 ,获得积分10
2分钟前
阿玖完成签到 ,获得积分10
2分钟前
完美世界应助zyw采纳,获得10
2分钟前
2分钟前
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Russian Foreign Policy: Change and Continuity 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5731842
求助须知:如何正确求助?哪些是违规求助? 5333685
关于积分的说明 15321719
捐赠科研通 4877673
什么是DOI,文献DOI怎么找? 2620524
邀请新用户注册赠送积分活动 1569833
关于科研通互助平台的介绍 1526289