PDF(Pubmed)
Abstract：
UNASSIGNED: Heavy metal exposure is an important cause of reduced bone mineral density (BMD). Epidemiological studies focusing on the effects of mixed heavy metal exposure on BMD in middle-aged and older people are scarce. In single-metal studies, men and women have shown distinct responses of BMD to environmental metal exposure. This study therefore aimed to elucidate the association between mixed heavy metal exposure and BMD and to investigate whether it is sex-specific.
UNASSIGNED: Data from the 2017-2020 National Health and Nutrition Examination Survey were selected for this cross-sectional study. The study used three statistical methods, i.e., linear regression, Bayesian kernel machine regression (BKMR) modeling, and weighted quartiles (WQS) regression, to explore the association between the urinary concentrations of 11 metals (barium, cadmium, cobalt, cesium, manganese, molybdenum, lead, antimony, tin, thallium, and Tungsten), either individually or as a mixture, and total femoral BMD.
UNASSIGNED: A total of 1,031 participants were included in this study. Femoral BMD was found to be higher in men than women. A significant negative correlation between the urinary concentrations of the 10 metals and femoral BMD was found in the overall cohort. Further gender sub-stratified analyses showed that in men, urinary metal concentrations were negatively correlated with femoral BMD, with cobalt and barium playing a significant and non-linear role in this effect. In women, although urinary metal concentrations negatively modulated femoral BMD, none of the correlations was statistically significant. Antimony showed sex-specific differences in its effect.
UNASSIGNED: The urinary concentrations of 10 mixed heavy metals were negatively correlated with femoral BMD in middle-aged and older participants, and this effect showed gender differences. These findings emphasize the differing role of mixed metal exposure in the process of BMD reduction between the sexes but require further validation by prospective studies.
UNASSIGNED: Data from the 2017-2020 National Health and Nutrition Examination Survey were selected for this cross-sectional study. The study used three statistical methods, i.e., linear regression, Bayesian kernel machine regression (BKMR) modeling, and weighted quartiles (WQS) regression, to explore the association between the urinary concentrations of 11 metals (barium, cadmium, cobalt, cesium, manganese, molybdenum, lead, antimony, tin, thallium, and Tungsten), either individually or as a mixture, and total femoral BMD.
UNASSIGNED: A total of 1,031 participants were included in this study. Femoral BMD was found to be higher in men than women. A significant negative correlation between the urinary concentrations of the 10 metals and femoral BMD was found in the overall cohort. Further gender sub-stratified analyses showed that in men, urinary metal concentrations were negatively correlated with femoral BMD, with cobalt and barium playing a significant and non-linear role in this effect. In women, although urinary metal concentrations negatively modulated femoral BMD, none of the correlations was statistically significant. Antimony showed sex-specific differences in its effect.
UNASSIGNED: The urinary concentrations of 10 mixed heavy metals were negatively correlated with femoral BMD in middle-aged and older participants, and this effect showed gender differences. These findings emphasize the differing role of mixed metal exposure in the process of BMD reduction between the sexes but require further validation by prospective studies.
摘要：
■重金属暴露是骨矿物质密度（BMD）降低的重要原因。针对混合重金属暴露对中老年人BMD影响的流行病学研究很少。在单金属研究中，男性和女性对环境金属暴露表现出不同的BMD反应。因此，本研究旨在阐明混合重金属暴露与BMD之间的关联，并调查其是否具有性别特异性。
■这项横断面研究选择了2017-2020年全国健康和营养检查调查的数据。该研究使用了三种统计方法，即，线性回归，贝叶斯核机回归(BKMR)建模,和加权四分位数(WQS)回归，探索11种金属(钡，镉,钴,铯,锰，钼,铅,锑,锡，铊,和钨），无论是单独还是作为混合物，和总股骨骨密度。
■本研究共纳入1,031名参与者。发现男性的股骨BMD高于女性。在整个队列中发现了10种金属的尿液浓度与股骨BMD之间的显着负相关。进一步的性别分层分析表明，在男性中，尿金属浓度与股骨骨密度呈负相关，钴和钡在这种效应中起着重要的非线性作用。在女性中，虽然尿金属浓度对股骨骨密度有负面影响，这些相关性均无统计学意义。锑的作用表现出性别差异。
■中老年受试者尿中10种混合重金属浓度与股骨BMD呈负相关，这种影响显示了性别差异。这些发现强调了混合金属暴露在两性之间降低BMD过程中的不同作用，但需要前瞻性研究的进一步验证。
■这项横断面研究选择了2017-2020年全国健康和营养检查调查的数据。该研究使用了三种统计方法，即，线性回归，贝叶斯核机回归(BKMR)建模,和加权四分位数(WQS)回归，探索11种金属(钡，镉,钴,铯,锰，钼,铅,锑,锡，铊,和钨），无论是单独还是作为混合物，和总股骨骨密度。
■本研究共纳入1,031名参与者。发现男性的股骨BMD高于女性。在整个队列中发现了10种金属的尿液浓度与股骨BMD之间的显着负相关。进一步的性别分层分析表明，在男性中，尿金属浓度与股骨骨密度呈负相关，钴和钡在这种效应中起着重要的非线性作用。在女性中，虽然尿金属浓度对股骨骨密度有负面影响，这些相关性均无统计学意义。锑的作用表现出性别差异。
■中老年受试者尿中10种混合重金属浓度与股骨BMD呈负相关，这种影响显示了性别差异。这些发现强调了混合金属暴露在两性之间降低BMD过程中的不同作用，但需要前瞻性研究的进一步验证。
