清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

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
乐乐应助Marshall采纳,获得10
31秒前
40秒前
Marshall发布了新的文献求助10
46秒前
锦鲤完成签到,获得积分10
53秒前
科研通AI6.1应助twk采纳,获得10
1分钟前
1分钟前
大医仁心完成签到 ,获得积分10
1分钟前
NattyPoe应助科研通管家采纳,获得10
1分钟前
SciGPT应助科研通管家采纳,获得10
1分钟前
田様应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
卓天宇完成签到,获得积分0
2分钟前
量子星尘发布了新的文献求助50
2分钟前
2分钟前
小李老博完成签到,获得积分10
2分钟前
在水一方应助科研通管家采纳,获得10
3分钟前
NattyPoe应助科研通管家采纳,获得10
3分钟前
3分钟前
两个榴莲完成签到,获得积分0
4分钟前
4分钟前
魏猛完成签到,获得积分10
5分钟前
ilihe应助dd采纳,获得10
5分钟前
简单发布了新的文献求助20
5分钟前
dd完成签到,获得积分10
6分钟前
简单发布了新的文献求助20
6分钟前
开心每一天完成签到 ,获得积分10
6分钟前
无极微光应助简单采纳,获得20
7分钟前
7分钟前
Mio发布了新的文献求助10
7分钟前
顾矜应助科研通管家采纳,获得10
7分钟前
科研通AI2S应助科研通管家采纳,获得10
7分钟前
乐乐应助科研通管家采纳,获得10
7分钟前
三日发布了新的文献求助10
7分钟前
范白容完成签到 ,获得积分0
8分钟前
栀鸢完成签到,获得积分20
8分钟前
tt完成签到,获得积分10
8分钟前
Dryang完成签到 ,获得积分10
8分钟前
8分钟前
煜琪完成签到 ,获得积分10
8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
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Electron Energy Loss Spectroscopy 1500
Tip-in balloon grenadoplasty for uncrossable chronic total occlusions 1000
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 5788848
求助须知:如何正确求助?哪些是违规求助? 5712796
关于积分的说明 15473966
捐赠科研通 4916884
什么是DOI,文献DOI怎么找? 2646597
邀请新用户注册赠送积分活动 1594281
关于科研通互助平台的介绍 1548701