Multiple metal exposure and metabolic syndrome in elderly individuals: A case-control study in an active mining district, Northwest China

中国 环境卫生 环境科学 地理 医学 考古
作者
Sai Guo,Liting Hua,Wu Liu,Hongxiu Liu,Qiusheng Chen,Yongcheng Li,Xiaoxiao Li,Leicheng Zhao,Ruoqi Li,Zining Zhang,Chong Zhang,Lin Zhu,Hong‐Bo Sun,Hongzhi Zhao
出处
期刊:Chemosphere [Elsevier BV]
卷期号:326: 138494-138494
标识
DOI:10.1016/j.chemosphere.2023.138494
摘要

The prevalence of metabolic syndrome (MetS) is increasing at an alarming rate worldwide, particularly among elderly individuals. Exposure to various metals has been linked to the development of MetS. However, limited studies have focused attention on the elderly population living in active mining districts. Participants with MetS (N = 292) were matched for age (±2 years old) and sex with a healthy subject (N = 292). We measured the serum levels of 14 metals in older people aged 65-85 years. Conditional logistic regression, restricted cubic spline model, multiple linear regression, and Bayesian Kernel Machine Regression (BKMR) were applied to estimate potential associations between multiple metals and the risk of MetS. Serum levels of Sb and Fe were significantly higher than the controls (0.58 μg/L vs 0.46 μg/L, 2167 μg/L vs 2042 μg/L, p < 0.05), while Mg was significantly lower (20035 μg/L vs 20,394 μg/L, p < 0.05). An increased risk of MetS was associated with higher serum Sb levels (adjusted odds ratio (OR) = 1.61 for the highest tertile vs. the lowest tertile, 95% CI = 1.08-2.40, p-trend = 0.018) and serum Fe levels (adjusted OR = 1.55 for the highest tertile, 95% CI = 1.04-2.33, p-trend = 0.032). Higher Mg levels in serum may have potential protective effects on the development of MetS (adjusted OR = 0.61 for the highest tertile, 95% CI = 0.41-0.91, p-trend = 0.013). A joint exposure analysis by the BKMR model revealed that the mixture of 12 metals (except Tl and Cd) was associated with increased risk of MetS. Our results indicated that exposure to Sb and Fe might increase the risk of MetS in an elderly population living in mining-intensive areas. Further work is needed to confirm the protective effect of Mg on MetS.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
大观天下发布了新的文献求助10
刚刚
忽远忽近的她完成签到 ,获得积分10
刚刚
维生素发布了新的文献求助10
1秒前
butterfly发布了新的文献求助10
3秒前
豆豆完成签到 ,获得积分10
4秒前
范先生完成签到,获得积分10
7秒前
2222222完成签到,获得积分10
7秒前
Hello应助bulingbuling采纳,获得10
7秒前
蜡笔小新完成签到,获得积分10
10秒前
希望天下0贩的0应助小王采纳,获得10
10秒前
赘婿应助lh采纳,获得10
11秒前
11秒前
科研通AI2S应助butterfly采纳,获得10
12秒前
大模型应助butterfly采纳,获得10
12秒前
14秒前
做个梦给你完成签到,获得积分10
14秒前
学霸宇大王完成签到 ,获得积分10
14秒前
甜蜜的楷瑞完成签到,获得积分10
15秒前
魏煜佳完成签到,获得积分10
16秒前
Lc完成签到,获得积分10
16秒前
三伏天完成签到,获得积分10
16秒前
清图完成签到,获得积分10
16秒前
英姑应助简单采纳,获得10
16秒前
爱喝牛奶的大兔子完成签到 ,获得积分20
17秒前
18秒前
18秒前
潇湘雪月完成签到,获得积分10
19秒前
迎南完成签到,获得积分10
19秒前
懒癌晚期完成签到,获得积分10
20秒前
20秒前
初夏微凉发布了新的文献求助10
20秒前
20秒前
21秒前
22秒前
乐乐应助科研通管家采纳,获得10
23秒前
深情安青应助科研通管家采纳,获得10
23秒前
赘婿应助科研通管家采纳,获得10
23秒前
英姑应助科研通管家采纳,获得10
23秒前
田様应助科研通管家采纳,获得10
23秒前
所所应助科研通管家采纳,获得10
23秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038388
求助须知:如何正确求助?哪些是违规求助? 3576106
关于积分的说明 11374447
捐赠科研通 3305798
什么是DOI,文献DOI怎么找? 1819322
邀请新用户注册赠送积分活动 892672
科研通“疑难数据库(出版商)”最低求助积分说明 815029