Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi.

Yu Jian Liang; Jia Hui Rong; Xue Xiu Wang; Jian Sheng Cai; Li Dong Qin; Qiu Mei Liu; Xu Tang; Xiao Ting MO; Yan Fei Wei; Yin Xia Lin; Shen Xiang Huang; Ting Yu Luo; Ruo Yu Gou; Jie Jing Cao; Chu Wu Huang; Yu Fu LU; Jian Qin; Zhi Yong Zhang

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Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi.

Author: Yu Jian LIANG ¹ ; Jia Hui RONG ¹ ; Xue Xiu WANG ¹ ; Jian Sheng CAI ^{2
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3} ; Li Dong QIN ¹ ; Qiu Mei LIU ¹ ; Xu TANG ¹ ; Xiao Ting MO ¹ ; Yan Fei WEI ¹ ; Yin Xia LIN ¹ ; Shen Xiang HUANG ¹ ; Ting Yu LUO ⁴ ; Ruo Yu GOU ⁴ ; Jie Jing CAO ¹ ; Chu Wu HUANG ¹ ; Yu Fu LU ¹ ; Jian QIN ^{2
,

5
,

6
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7} ; Zhi Yong ZHANG ^{2
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9}
Author Information

1. Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China.
2. Department of Environmental and Occupational Health, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China
3. Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin 541199, Guangxi, China.
4. Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541199, Guangxi, China.
5. Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning 530021, Guangxi, China
6. Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning 530021, Guangxi, China
7. Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning 530021, Guangxi, China.
8. Department of Environmental Health and Occupational Medicine, School of Public Health, Guilin Medical University, Guilin 541199, Guangxi, China
9. Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin 541199, Guangxi, China.
Publication Type:Journal Article
Keywords: Bayesian kernel machine regression; Handgrip strength; Quantile g-computation; Urinary metals
MeSH: Cross-Sectional Studies; Bayes Theorem; China/epidemiology*; Metals/toxicity*; Arsenic; Strontium
From: Biomedical and Environmental Sciences 2024;37(1):3-18
CountryChina
Language:English
Abstract: OBJECTIVE:This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength.
METHODS:We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.
RESULTS:In the multimetal linear regression, Cu (β = -2.119), As (β = -1.318), Sr (β = -2.480), Ba (β = 0.781), Fe (β = 1.130) and Mn (β = -0.404) were significantly correlated with grip strength ( P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95% confidence interval: -1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn ( P _interactions of 0.003 and 0.018, respectively).
CONCLUSION:In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.