The prevalence of metabolic syndrome(MS was investigated in Chinese nickel-exposed workers A total of 35 104 subjects were enrolled in this study.The age-adjusted prevalence of MS,BMI≥25diabetes,hypertension,and abno...The prevalence of metabolic syndrome(MS was investigated in Chinese nickel-exposed workers A total of 35 104 subjects were enrolled in this study.The age-adjusted prevalence of MS,BMI≥25diabetes,hypertension,and abnormal lipid was13.9%,29.5%,12.8%,27.5%,and 47.1%respectively.The prevalence of BMI≥25hyperglycemia,and hypertension increased展开更多
Environmental exposure to heavy metals has been linked to a wide range of human health hazards.We detected the levels of 15 metals in urine samples from 500 representative sub-samples in an ongoing occupational cohort...Environmental exposure to heavy metals has been linked to a wide range of human health hazards.We detected the levels of 15 metals in urine samples from 500 representative sub-samples in an ongoing occupational cohort study(Jinchang Cohort)to directly evaluate metal exposure levels.Fifteen metals,namely As,Ba,Be,Cd,Cs,Cr,Co,Cu,Pb,Mn,Ni,Se,Tl,U,and Zn,were detected by inductively coupled plasma quadruple mass spectrometry.The results showed that median creatinine adjustment and geometric mean urinary metal levels were higher in the heavy metal-exposed group,except Se and Zn,than other reported general or occupational populations.Further studies should address the effects of heavy metals on human health.展开更多
Objective To study the association between metal exposure and risk of diabetes and prediabetes among Chinese workers exposed to metals.Methods We used data obtained from the baseline survey of the Jinchang Cohort Stud...Objective To study the association between metal exposure and risk of diabetes and prediabetes among Chinese workers exposed to metals.Methods We used data obtained from the baseline survey of the Jinchang Cohort Study of workers in Jinchang Industry,the largest nickel production company in China.A total of 42,122 workers ≥20 years of age were included in the study.A standardized,structured questionnaire was used to collect epidemiological information.Physical examinations and laboratory tests were conducted to evaluate the health status of the participants and to measure various biomarkers including blood sugar,lipids,and urinary metal concentrations.Logistic regression was used to study the association between occupational groups categorized according to the measured metal levels(office workers,low-level;mining/production workers,mid-level;and smelting/refining workers,high-level)and risk of diabetes and prediabetes.Results The overall prevalence of diabetes and prediabetes was 7.5% and 16.8%,respectively.The adjusted odds ratios for diabetes among mining/production workers and smelting/refining workers compared to office workers were 1.5(95% CI:1.3,1.7)and 3.8(95% CI:3.4,4.3),respectively.No association was observed between these occupational groups and prediabetes in this study.Conclusion Occupations associated with higher levels of metal exposure were associated with an increased risk of diabetes in this cohort.More studies are needed to confirm this observed association.展开更多
文摘The prevalence of metabolic syndrome(MS was investigated in Chinese nickel-exposed workers A total of 35 104 subjects were enrolled in this study.The age-adjusted prevalence of MS,BMI≥25diabetes,hypertension,and abnormal lipid was13.9%,29.5%,12.8%,27.5%,and 47.1%respectively.The prevalence of BMI≥25hyperglycemia,and hypertension increased
基金supported by Project of Employees Health Status and Disease Burden Trend Study in Jinchua Nonferrous Metals Corporation,Grant JKB20120013Fogarty training grants D43TW 008323and D43TW 007864-01 from the US National Institutes of Health
文摘Environmental exposure to heavy metals has been linked to a wide range of human health hazards.We detected the levels of 15 metals in urine samples from 500 representative sub-samples in an ongoing occupational cohort study(Jinchang Cohort)to directly evaluate metal exposure levels.Fifteen metals,namely As,Ba,Be,Cd,Cs,Cr,Co,Cu,Pb,Mn,Ni,Se,Tl,U,and Zn,were detected by inductively coupled plasma quadruple mass spectrometry.The results showed that median creatinine adjustment and geometric mean urinary metal levels were higher in the heavy metal-exposed group,except Se and Zn,than other reported general or occupational populations.Further studies should address the effects of heavy metals on human health.
基金supported by the Project of Employees Health Status and Disease Burden Trend Study in Jinchuan Nonferrous Metals Corporation,Grant JKB20120013Fogarty training grants D43TW 008323 and D43TW 007864-01 from the US National Institutes of Health
文摘Objective To study the association between metal exposure and risk of diabetes and prediabetes among Chinese workers exposed to metals.Methods We used data obtained from the baseline survey of the Jinchang Cohort Study of workers in Jinchang Industry,the largest nickel production company in China.A total of 42,122 workers ≥20 years of age were included in the study.A standardized,structured questionnaire was used to collect epidemiological information.Physical examinations and laboratory tests were conducted to evaluate the health status of the participants and to measure various biomarkers including blood sugar,lipids,and urinary metal concentrations.Logistic regression was used to study the association between occupational groups categorized according to the measured metal levels(office workers,low-level;mining/production workers,mid-level;and smelting/refining workers,high-level)and risk of diabetes and prediabetes.Results The overall prevalence of diabetes and prediabetes was 7.5% and 16.8%,respectively.The adjusted odds ratios for diabetes among mining/production workers and smelting/refining workers compared to office workers were 1.5(95% CI:1.3,1.7)and 3.8(95% CI:3.4,4.3),respectively.No association was observed between these occupational groups and prediabetes in this study.Conclusion Occupations associated with higher levels of metal exposure were associated with an increased risk of diabetes in this cohort.More studies are needed to confirm this observed association.
