Associations between co‑exposure to heavy metals and vertebral compression fracture, as well as femoral neck bone mineral density: A cross-sectional study from NHANES data

股骨颈 医学 骨矿物 逻辑回归 全国健康与营养检查调查 骨质疏松症 贝叶斯多元线性回归 内科学 人口 线性回归 环境卫生 统计 数学
作者
Xurong Yang,Li Li,Lixiong Nie
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:19 (5): e0303418-e0303418 被引量:1
标识
DOI:10.1371/journal.pone.0303418
摘要

Objective Accumulating evidence showed that exposure to heavy metals was harmful to human health. Little is known regarding the mixing effects of multiple metal exposures on vertebral compression fracture (VCF) and femoral neck bone mineral density (BMD). This study aimed to explore the individual and joint effects of four heavy metals [manganese (Mn), lead (Pb), cadmium (Cd) and mercury (Hg)] on VCF risk and femoral neck BMD. Methods This cross-sectional study included 1,007 eligible individuals with vertebral fractures from National Health and Nutrition Examination Survey 2013–2014. The outcome was the risk of VCF and femoral neck BMD. Weighted multivariate logistic regression was used to explore the individual effect of four heavy metals on the VCF risk, separately. Weighted multivariate linear regression was used to explore the individual effect of four heavy metals on the femoral neck BMD, separately. Adopted bayesian kernel machine regression (BKMR) model and quantile-based g computation (qgcomp) to examine the joint effects of four heavy metals on the VCF risk and femoral neck BMD. Results Among the population, 57 individuals developed VCF. After adjusting covariates, we found no statistical differences regarding the individual effects of four heavy metals on the risk of VCF. BKMR model and qgcomp indicated that there were no statistical differences regarding the joint effects between four heavy metals on the VCF risk. In addition, we found that Cd was associated with femoral neck BMD, and an increase in the mixture of heavy metal exposures was associated with a decreased risk of femoral neck BMD. Conclusion No significant correlation was observed between co-exposure to Mn, Pb, Cd and Hg and VCF risk. But co-exposure to Mn, Pb, Cd and Hg may be associated with femoral neck BMD.

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
1秒前
失眠的火车完成签到,获得积分10
1秒前
酷波er应助郭潇阳采纳,获得10
1秒前
2秒前
Gc发布了新的文献求助10
3秒前
3秒前
自渡发布了新的文献求助20
3秒前
李健的小迷弟应助maoxinnan采纳,获得10
3秒前
4秒前
Della完成签到 ,获得积分10
5秒前
6秒前
caihua发布了新的文献求助10
6秒前
逍遥子完成签到,获得积分20
7秒前
7秒前
科目三应助糊涂的小鸭子采纳,获得10
8秒前
FIND完成签到,获得积分10
8秒前
忠于热爱完成签到,获得积分10
8秒前
wyc发布了新的文献求助10
9秒前
10秒前
逍遥子发布了新的文献求助10
10秒前
10秒前
liu完成签到,获得积分10
10秒前
慈祥的又菱应助Eve采纳,获得10
10秒前
sjx发布了新的文献求助10
10秒前
11秒前
12秒前
yaswer发布了新的文献求助10
12秒前
愉快的瑾瑜应助17739560964采纳,获得10
13秒前
科研通AI6.4应助张琪采纳,获得10
13秒前
maoxinnan完成签到,获得积分20
13秒前
玖玖发布了新的文献求助10
13秒前
14秒前
哈哈完成签到,获得积分20
14秒前
俭朴苑博应助濮阳灵竹采纳,获得20
14秒前
领导范儿应助笨笨听寒采纳,获得10
14秒前
liliwan完成签到,获得积分10
14秒前
科研通AI6.3应助Philippe采纳,获得10
15秒前
maoxinnan发布了新的文献求助10
16秒前
郭潇阳发布了新的文献求助10
17秒前
17秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
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
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 7502744
求助须知:如何正确求助?哪些是违规求助? 9092787
关于积分的说明 19400356
捐赠科研通 7111852
什么是DOI,文献DOI怎么找? 3251126
关于科研通互助平台的介绍 2420450
邀请新用户注册赠送积分活动 2237215