Associations between heavy metal exposure and vascular age: a large cross-sectional study

横断面研究 医学 环境卫生 重金属 化学 环境化学 病理
作者
Yuntao Feng,Chengxing Liu,Lei Huang,Jun Qian,Na Li,Hongwei Tan,Xuebo Liu
出处
期刊:Journal of Translational Medicine [BioMed Central]
卷期号:23 (1) 被引量:4
标识
DOI:10.1186/s12967-024-06021-w
摘要

Heavy metal exposure is an emerging environmental risk factor linked to cardiovascular disease (CVD) through its effects on vascular ageing. However, the relationship between heavy metal exposure and vascular age have not been fully elucidated. This cross-sectional study analyzed data from 3,772 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2016. We measured urinary concentrations of nine heavy metals and assessed their associations with vascular age, estimated pulse wave velocity (ePWV) and heart vascular age (HVA). Additionally, sex-stratified analyses, Weighted Quantile Sum (WQS) regression and Bayesian Kernel Machine Regression were conducted to explore the effects of individual and mixed metal exposures. Exposure to metals such as cadmium (Cd) cesium (Cs), cobalt (Co), and lead (Pb) was significantly associated with increased vascular age, with odds ratios (OR) ranging from 1.05 to 3.48 in full adjusted models. Sex-stratified analyses indicated that individual metal including cobalt (Co) and cadmium (Cd) exposures had a more substantial impact on males. WQS analysis consistently showed combined heavy metals exposure had stronger associations with increased vascular age in men (OR for HVA = 3.89, 95% CI 2.91–5.28). This study highlights a significant association between heavy metal exposure and increased vascular age. Stratified analyses illustrated men might be more susceptible to the combined effects of multiple heavy metal exposure. The findings underscore the importance of considering sex-specific responses and interventions measures in cardiovascular risk assessments and managements. Further research is needed to validate these findings and to develop more precise public health strategies targeting environmental risks.
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
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
刚刚
小盒儿发布了新的文献求助30
刚刚
俊逸的夜蓉完成签到,获得积分10
刚刚
研友_ng9Yj8完成签到,获得积分10
1秒前
1秒前
单源昊完成签到,获得积分20
2秒前
shan发布了新的文献求助10
2秒前
贪玩的秋柔应助虚幻芷文采纳,获得10
3秒前
3秒前
韩老慢发布了新的文献求助10
3秒前
4秒前
雾喃发布了新的文献求助10
4秒前
4秒前
希望天下0贩的0应助桀骜采纳,获得10
4秒前
单源昊发布了新的文献求助10
5秒前
ding应助哈温采纳,获得10
5秒前
袁睿韬发布了新的文献求助10
6秒前
苹果发布了新的文献求助10
6秒前
6秒前
6秒前
魔幻书包完成签到,获得积分10
7秒前
misaaaa发布了新的文献求助10
7秒前
小梁发布了新的文献求助10
7秒前
腼腆的沛蓝完成签到,获得积分10
8秒前
8秒前
8秒前
共享精神应助qyang采纳,获得10
9秒前
AYEFORBIDER发布了新的文献求助20
9秒前
踏实的猫咪完成签到 ,获得积分10
9秒前
9秒前
科研通AI2S应助大橙子采纳,获得10
10秒前
10秒前
10秒前
SciGPT应助ycccc23333采纳,获得10
11秒前
11秒前
11秒前
12秒前
我是老大应助丰富的世界采纳,获得20
13秒前
shenqy完成签到,获得积分10
13秒前
小盘子完成签到,获得积分10
13秒前
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
Organic Reactions, Volume 116 1500
VALIDATION OF THE TAYLOR, ALAMEL AND VPSC MODELS FOR PLASTIC ANISOTROPY MODELING OF SHEET METALS 1000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7404881
求助须知:如何正确求助?哪些是违规求助? 9009598
关于积分的说明 19186230
捐赠科研通 7038336
什么是DOI,文献DOI怎么找? 3231951
关于科研通互助平台的介绍 2394147
邀请新用户注册赠送积分活动 2213896