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多种金属混合暴露与骨质减少或骨质疏松症合并症之间的关联分析:来自中国多民族队列研究(CMEC)的基线数据。

Analysis of the association between mixed exposure to multiple metals and comorbidity of osteopenia or osteoporosis: baseline data from the Chinese Multi-Ethnic Cohort study (CMEC).

作者信息

Zhang Yuxin, Chen Cheng, Wu Shenyan, Nie Chan, Hu Yuxin, Zhong Jianqin, Hong Feng

机构信息

School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 561113, China.

出版信息

BMC Public Health. 2025 Feb 19;25(1):680. doi: 10.1186/s12889-025-21825-1.

Abstract

Both osteoporosis and metal exposure are well-recognized public health concerns globally, particularly in the aging population. However, studies investigating the relationship between metal exposure and bone health conditions such as osteopenia and osteoporosis have either produced inconsistent results or are scarce, especially among the ethnic minorities in China. Herein, we correlated single-metal and metal mixture exposure with osteopenia and osteoporosis using a log-binomial regression model and quantile g-computation. In total, 9,206 ethnic Chinese individuals (Dong and Miao) aged 30-79 years were investigated in this study utilizing the baseline data from the Chinese multi-ethnic cohort study. In the single-metal exposure model, urinary concentrations of arsenic (As), cadmium (Cd), chromium (Cr), iron(Fe), mercury(Hg), and manganese (Mn) were positively associated with of osteopenia, whereas those of cobalt(Co) and zinc(Zn) concentrations were negatively associated. Additionally, urinary As, Cd, Cr, and Mn concentrations were positively associated with osteoporosis, whereas that of vanadium(V) was negatively associated. Furthermore, Quantile g-computation results indicated that metal mixture exposure was positively associated with both osteopenia and osteoporosis. Altogether, these findings suggest that simultaneous exposure to multiple metals can affect bone health, providing a theoretical basis for further studies on underlying complex mechanisms.

摘要

骨质疏松症和金属暴露都是全球公认的公共卫生问题,在老年人群体中尤为突出。然而,调查金属暴露与骨质减少和骨质疏松症等骨骼健康状况之间关系的研究,要么结果不一致,要么数量稀少,在中国少数民族中尤其如此。在此,我们使用对数二项回归模型和分位数g计算法,将单一金属和金属混合物暴露与骨质减少和骨质疏松症进行了关联分析。本研究利用中国多民族队列研究的基线数据,对9206名年龄在30 - 79岁的中国少数民族个体(侗族和苗族)进行了调查。在单一金属暴露模型中,尿中砷(As)、镉(Cd)、铬(Cr)、铁(Fe)、汞(Hg)和锰(Mn)的浓度与骨质减少呈正相关,而钴(Co)和锌(Zn)的浓度与骨质减少呈负相关。此外,尿中As、Cd、Cr和Mn的浓度与骨质疏松症呈正相关,而钒(V)的浓度与骨质疏松症呈负相关。此外,分位数g计算结果表明,金属混合物暴露与骨质减少和骨质疏松症均呈正相关。总之,这些发现表明,同时暴露于多种金属会影响骨骼健康,为进一步研究潜在的复杂机制提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a16a/11837480/1a3e9244e4b6/12889_2025_21825_Fig1_HTML.jpg

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