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

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Biomedical and Environmental Sciences 2024年第1期37卷 3-18页

作者： LIANG Yu Jian RONG Jia Hui WANG Xue Xiu CAI Jian Sheng QIN Li Dong LIU Qiu Mei TANG Xu MO Xiao Ting WEI Yan Fei LIN Yin Xia HUANG Shen Xiang LUO Ting Yu GOU Ruo Yu CAO Jie Jing HUANG Chu Wu LU Yu Fu QIN Jian ZHANG Zhi Yong Department of Environmental and Occupational Health School of Public HealthGuangxi Medical UniversityNanning 530021GuangxiChina Key Laboratory of Tumor Immunology and Microenvironmental Regulation Guilin Medical UniversityGuilin 541199GuangxiChina Department of Environmental Health and Occupational Medicine School of Public HealthGuilin Medical UniversityGuilin 541199GuangxiChina Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases Guangxi Medical UniversityNanning 530021GuangxiChina Guangxi Key Laboratory of Environment and Health Research Guangxi Medical UniversityNanning 530021GuangxiChina Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education Guangxi Medical UniversityNanning 530021GuangxiChina Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care Guilin Medical UniversityGuilin 541199GuangxiChina

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(Pbayesian 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.

关键词： Urinary metals Handgrip strength Quantile g-computation bayesian kernel machine regression

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Sex-specific and dose-response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults

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Journal of Environmental Sciences 2023年第2期124卷 42-49页

作者： Jingli Yang Yongbin Lu Yana Bai Zhiyuan Cheng College of Earth and Environmental Sciences Lanzhou UniversityLanzhou 730000China Department of Epidemiology and Statistics School of Public HealthLanzhou UniversityLanzhou 730000China School of Public Health and Emergency Management Southern University of Science and TechnologyShenzhen 518055China

Growing studies have linked metal exposure to diabetes risk.However,these studies had inconsistent results.We used a multiple linear regression model to investigate the sexspecific and dose-response associations between urinary metals(cobalt(Co)and molybdenum(Mo))and diabetes-related indicators(fasting plasma glucose(FPG),hemoglobin A1c(HbA1c),homeostasis model assessment for insulin resistance(HOMA-IR),and insulin)in a cross-sectional study based on the United States National Health and Nutrition Examination Survey.The urinary metal concentrations of 1423 eligible individuals were stratified on the basis of the quartile distribution.Our results showed that the urinary Co level in males at the fourth quartile(Q4)was strongly correlated with increased FPG(β=0.61,95%CI:0.17–1.04),HbA1c(β=0.31,95%CI:0.09–0.54),insulin(β=8.18,95%CI:2.84–13.52),and HOMA–IR(β=3.42,95%CI:1.40–5.44)when compared with first quartile(Q1).High urinary Mo levels(Q4 vs.Q1)were associated with elevated FPG(β=0.46,95%CI:0.17–0.75)and HbA1c(β=0.27,95%CI:0.11–0.42)in the overall population.Positive linear dose-response associations were observed between urinary Co and insulin(Pnonlinear=0.513)and HOMA–IR(Pnonlinear=0.736)in males,as well as a positive linear dose-response relationship between urinary Mo and FPG(Pnonlinear=0.826)and HbA1c(Pnonlinear=0.376)in the overall population.Significant sex-specific and dose-response relationships were observed between urinary metals(Co and Mo)and diabetes-related indicators,and the potential mechanisms should be further investigated.

关键词： bayesian kernel machine regression Cobalt Diabetes Insulin resistance Molybdenum

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