Influence factors and predictive ability of a risk prediction model for carotid atherosclerosis in a follow-up population / 中华疾病控制杂志

Objective To explore factors influencing the incidence of carotid atherosclerosis in different genders so as to provide reference for the specific prevention of the disease. Methods A nested case-control study was conducted to analyze factors influencing the incidence of carotid atherosclerosis in Jinchang cohort population who were randomly selected through stratified sampling by age and followed up. A risk prediction model was established and the goodness of fit was evaluated by the area under the receiver operator characteristic curve (ROC). Results The standardized incidence of carotid atherosclerosis in this follow-up population was 12.32%, and the incidence rate of males (13.65%) was greater than that of females (11.29%). The difference was statistically significant ( 2=4.267, P<0.001). Age, education, elevated systolic blood pressure, and elevated low-density lipoprotein cholesterol were common risk factors for carotid atherosclerosis in both men and women. Elevated fasting plasma glucose (OR=2.556, 95% CI: 1.618-4.038) and elevated triglyceride (OR=1.535, 95% CI: 1.058-2.227) were only associated with men. Abdominal obesity (OR=1.414, 95% CI: 1.013-1.974) was only associated with women. The area under ROC of male and female prediction models was 0.835 (95% CI: 0.815-0.856) and 0.809 (95% CI: 0.788-0.831), respectively. The sensitivity was 78.0% and 78.9%, the specificity was 78.8% and 73.1%, and the diagnostic coincidence rate was 91.3% and 82.4%, respectively. Conclusions There are different risk factors for carotid atherosclerosis in males and females, and targeted prevention and control measures should be taken according to gender. The risk prediction model established by Logistic regression had certain guiding value.

Heavy Metal Assessment among Chinese Nonferrous Metal-exposed Workers from the Jinchang Cohort Study / 生物医学与环境科学（英文）

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.

Dynamic Changes in DNA Damage and Repair Biomarkers with Employment Length among Nickel Smelting Workers / 生物医学与环境科学（英文）

Our study explored the dynamic changes in and the relationship between the DNA damage marker 8-hydroxy-2'-deoxyguanosine (8-OHdG) and the DNA repair marker 8-hydroxyguanine DNA glycosidase 1 (hOGG1) according to the length of occupational employment in nickel smelting workers. One hundred forty nickel-exposed smelting workers and 140 age-matched unexposed office workers were selected from the Jinchang cohort. The 8-OHdG levels in smelting workers was significantly higher than in office workers (Z=-8.688, P<0.05) and the 8-OHdG levels among nickel smelting workers in the 10-14 y employment length category was significantly higher than among all peers. The hOGG1 levels among smelting workers were significantly lower than those of non-exposed workers (Z=-8.948, P<0.05). There were significant differences between employment length and hOGG1 levels, with subjects employed in nickel smelting for 10-14 y showing the highest levels of hOGG1. Correlation analysis showed positive correlations between 8-OHdG and hOGG1 levels (r=0.413; P<0.01). DNA damage was increased with employment length among nickel smelting workers and was related to the inhibition of hOGG1 repair capacity.

Metal Exposure and Risk of Diabetes and Prediabetes among Chinese Occupational Workers / 生物医学与环境科学（英文）

<p><b>OBJECTIVE</b>To study the association between metal exposure and risk of diabetes and prediabetes among Chinese workers exposed to metals.</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSION</b>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.</p>

Nickel-exposed workers in China: a cohort study / 生物医学与环境科学（英文）

There are more than 50 000 workers in Jinchuan Group Co, Ltd (JNMC). Since all staff in JNMC are eligible for a medical examination every two years, only 23 484 nickel-exposed subjects who participated in medical examination were included in this study. Their data, collected from June 22, 2011 to September 28, 2012, in a comprehensive epidemiological survey and during medical examinations, permitted an extensive evaluation of the relation between metal exposure, gene, epigenetics and risk of human diseases. Their lifestyle investigation showed that the overall prevalence of current smokers, alcohol drinkers, and tea drinkers was 39.1%, 19.7%, and 55.2%, respectively. The prevalence of hypertension, allergic rhinitis and cholecystitis , the top 3 prevalent diseases, was 11.7%, 11.0%, and 8.9%, respectively.

Prevalence of metabolic syndrome in Chinese nickel-exposed workers / 生物医学与环境科学（英文）

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⋝25, diabetes, hypertension, and abnormal lipid was 13.9%, 29.5%, 12.8%, 27.5%, and 47.1%, respectively. The prevalence of BMI⋝25, hyperglycemia, and hypertension increased with the age of males and females, and was higher in males than in females (37.1% vs 21.5%, 15.9% vs 12.1%, 35.0% vs 24.3%, 54.3% vs 40.4%).