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Background Steel workers are exposed to occupational hazardous factors such as dust, noise, and heat, and often work in shifts, making them prone to sleep disorders. Objective To explore potential influencing factors of sleep disorders among workers in a steel enterprise in Gansu Province, and provide a basis for reducing the risk of sleep disorders among them. Methods From January to March 2022, a self-made questionnaire combined with the Pittsburgh Sleep Quality Index (PSQI) were used to investigate the employees of a steel enterprise in Gansu Province. According to their PSQI scores, they were divided into a normal sleep group and a sleep disorder group. The general demographic variables of the two groups were balanced by 1∶1 propensity score matching (PSM). Multiple logistic regression was used to analyze the contributing factors of sleep disorders. Restricted cubic spline (RCS) model was used to analyze potential dose-response relationship between weekly working hours and sleep disorders. Results The prevalence of sleep disorders in the steel workers was 48.06% (6029/12544). After PSM, 5847 pairs were successfully matched, and the distributions of matched variables were well balanced between the two groups. The results of multiple logistic regression showed that hypertension (OR=1.39, 95%CI: 1.24, 1.56), diabetes mellitus (OR=1.34, 95%CI: 1.07, 1.66), three-shift system (OR=1.26, 95%CI: 1.12, 1.41), dust exposure (OR=1.14, 95%CI: 1.01, 1.29), noise exposure (OR=1.23, 95%CI: 1.09, 1.39), heat exposure (OR=1.16, 95%CI: 1.04, 1.29), and work injury (OR=1.22, 95%CI: 1.02, 1.46) increased the risk of sleep disorders. Compared with workers with < 10 years of service, those with 10-20 years (OR=1.31, 95%CI: 1.19, 1.44), 20-30 years (OR=1.34, 95%CI: 1.19, 1.52), and ≥30 years of service (OR=1.35, 95%CI: 1.19, 1.53) had a higher risk of sleep disorders. Compared with non-exercise workers, the risk of developing sleep disorders was lower in workers with occasional exercise (OR=0.61, 95%CI: 0.56, 0.66) and regular exercise (OR=0.55, 95%CI: 0.49, 0.62). The RCS model showed that the weekly working hours and sleep disorders in the steel workers showed a nonlinear dose-response relationship (P<0.05 for overall trend, P<0.05 for nonlinear test). The relationship between weekly working hours and sleep disorders showed a "U" shaped distribution, with a significant increase in the risk of sleep disorders when the weekly working hours exceeded 49 h. Conclusion The non-occupational influencing factors of sleep disorders of employees in the steel enterprise include hypertension, diabetes, physical exercise, and occupational influencing factors include length of service, weekly working hours, shifts, dust exposure, noise exposure, heat exposure, and work injuries. It is recommended to consider both occupational and non-occupational factors to formulate appropriate sleep disorder prevention and control measures for steel employees to reduce the risk of sleep disorders.
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OBJECTIVE: To investigate the relationship between the sleep duration on peak melatonin secretion and renal function injury in steel workers. METHODS: A judgment sampling method was used to select 7 655 steel workers in a steel production department for health examination and questionnaire survey, and the relationship between renal function injury and non-peak sleep time(equivalent to the reduction of sleep duration on peak melatonin secretion) was analyzed using restriction cubic spline(RCS) model and multi-factor logistic regression. RESULTS: The detection rate of renal injury in the study subjects was 14.5%(1 110/7 655). RCS model analysis results showed that there was a linear dose-response relationship between non-peak sleep time and renal injury(overall correlation test χ~2=16.85, P<0.01, nonlinear test χ~2=3.70, P>0.05). Multivariate logistic regression analysis results showed that the workers of non-peak sleep time more than or equal to 4 515-day had higher risk of renal function injury than the workers of non-peak sleep time less than 4 515-day(P<0.05), with odds ratio and 95% confidence interval of 1.4(1.2-1.7), after adjustment for the potential influencing factors such as individual factors and occupational factors. CONCLUSION: Reduction of peak melatonin secretion sleep duration is correlated with renal function injury in steel workers.
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OBJECTIVE: To explore the effect of occupational high temperature exposure on type 2 diabetes( T2 DM) in male steel workers. METHODS: A cluster random sampling method was used to select 684 male steel workers,who exposed to occupational high temperature in a steel enterprise in Tangshan City,as the high temperature group,and 1 153 male steel workers without occupational high temperature exposure as the control group. The high temperature level of workers in these two groups was measured. The cumulative exposure( CE) of high temperature was calculated,and occupational health exam was performed. The multivariate logistic regression analysis and restricted cubic splines were used to analyze the relationship between high temperature CE and T2 DM. RESULTS: The prevalence of T2 DM in high-temperature group was higher than that in the control group( 13. 0% vs 7. 9%,P < 0. 05). The multivariate logistic regression analysis results showed that the risk of T2 DM in the high temperature group was higher than that in the control group after adjusting for age,body mass index,smoking,drinking,physical exercise and parents with diabetes( P < 0. 05). The 95% confidence interval was 1. 65( 1. 17-2. 33). Restricted cubic spline analysis showed that the high temperature CE was correlated with the prevalence of T2 DM in workers( P < 0. 01) and showed a linear correlation( nonlinearity test,P > 0. 05). CONCLUSION: Occupational high temperature exposure is associated with the occurrence of T2 DM in male steel workers. The male steel workers with high temperature CE show high prevalence of T2 DM risk.
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OBJECTIVE: To explore the effects of cumulative noise exposure(CNE) on the intima-media thickness(IMT) of carotid artery in steel workers. METHODS: A cluster random sampling method was used to select 1 437 noise exposed workers in a steel company as study subjects. The CNE was calculated according to the noise intensity of the workplace, and the occupational health check was carried out to construct the structural equation model of noise to IMT. RESULTS: The detection rate of carotid atherosclerosis(CAS) in these 1 437 subjects was 38.3%. The CAS detection rates of steel workers increased with the increasing CNE(P<0.01). The structural equation model had good fitting effect. Path analysis showed CNE can indirectly affect IMT through blood pressure, triglycerides, fasting blood glucose, homocysteine, high-density lipoprotein & apolipoprotein A, low-density lipoprotein & apolipoprotein B. The total effects were-0.375, 0.337, 0.248, 0.117, 0.056, 0.056 and 0.018 respectively. CONCLUSION: CNE can indirectly increase the IMT of steel workers by acting on the proximal cause.
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OBJECTIVE: To analyze the effect of occupational stress on abnormity of serum total cholesterol and triglyceride in male steel workers. METHODS: A total of 3 957 male steel workers from an iron and steel group company were selected as study objects by judgment sampling method. Occupational stress was measured by the Chinese version of Job Content Questionnaire. The serum total cholesterol and triglyceride levels were measured using fasting venous blood. RESULTS: Among the 3 957 workers,the detection rate of occupational stress was 56. 8%,and 55. 0% of them showed high social support. The abnormal rates of total cholesterol and triglyceride were 21. 8% and 40. 9%,respectively. The multivariate logistic regression analysis showed that workers with high social support had high risk of abnormal total cholesterol and abnormal triglyceride than workers with low social support( P < 0. 05) after adjusting for confounding factors such as age,education level,marital status,body mass index,smoking and drinking alcohol,tea. The odds ratio of abnormal total cholesterol in occupational stress workers was 1. 17 times of that of non-occupational stress workers. No association was found between occupational stress and abnormal triglyceride( P > 0. 05). CONCLUSION: Occupational stress may be associated with abnormity of total cholesterol in male steel workers. Social support is an important influences factor to the abnormity of total cholesterol and triglyceride in male steel workers.