Ai Min Yang1, Ning Cheng2, Hong Quan Pu3, Si Min Liu4, Juan Sheng Li5, Bryan A Bassig6, Min Dai7, Hai Yan Li3, Xiao Bin Hu5, Xiao Wei Ren5, Tong Zhang Zheng4, Ya Na Bai5. 1. Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, Gansu, China; Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02912, USA. 2. Center of Medical Laboratory, Lanzhou University, Lanzhou 730000, Gansu, China. 3. Workers' Hospital of Jinchuan Group Co., Ltd., Jinchang 730000, Gansu, China. 4. Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02912, USA. 5. Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, Gansu, China. 6. Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT 06511, USA. 7. Cancer Hospital, Chinese Academy of Medical Sciences, Beijing 100021, China.
Abstract
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.
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.
Authors: Franz Tatzber; Sieglinde Zelzer; Barbara Obermayer-Pietsch; Stefan Rinnerhofer; Michael Kundi; Gerhard Cvirn; Georg Wultsch; Markus Herrmann; Harald Mangge; Tobias Niedrist; Willibald Wonisch Journal: Antioxidants (Basel) Date: 2022-03-25
Authors: Sultan Ayoub Meo; Faris Jamal AlMutairi; Majed Mohammed Alasbali; Turki Badr Alqahtani; Saad Saeed AlMutairi; Rakan Abdulaziz Albuhayjan; Fawziah Al Rouq; Naseer Ahmed Journal: Am J Mens Health Date: 2018-09-15