ABSTRACT
OBJECTIVE: To study the prevalence and influencing factors of metabolic syndrome(MS) in male occupational population in the mineral industry. METHODS: A total of 2 654 male employees in the mining area of a mining group in Xingtai City were selected as the study subjects using the convenient sampling method. The general demographic data, behavior and lifestyle, work status, and biochemical examination results of the study subjects were collected, and the influencing factors of MS were analyzed by multi-factor logistic regression. RESULTS: The detection rate of MS was 16.0%(425/2 654) in these 2 654 male workers. The detection rate of MS increased with age and length of service(all P<0.05). The detection rate of MS in male workers with hypertension, high blood sugar, central obesity, high triglyceride and low high-density lipoprotein was higher than that in control workers(all P<0.01). The results of multivariate logistic regression analysis showed that age, work shifts, salt intake, dietary habit, alcohol drinking, sleep time, physical exercise, and body mass index were all influencing factors for MS(all P<0.05). CONCLUSION: Male workers have a high incidence of MS. Older age, shift work, high-salt diet, meat-based diet, alcohol drinking, severely insufficient sleep time, and overweight/obesity increase the risk of MS in male workers.
ABSTRACT
Objective To explore the relationship between light at night (LAN) and nonalcoholic fatty liver (NAFLD) in steel workers. Methods Relevant information was collected through questionnaires, physical examinations and blood biochemical analysis. Using restricted cubic spline (RCS) and mutiple Logistic regression model to explore the relationship between LAN and NAFLD based on a cross-sectional study. Results The prevalence of NAFLD was 33.8% (2 594 / 7 664) in steel workers. After adjusting for age, sex, marriage, educational level, smoking, drinking, body mass index, luminous intensity in life, liver enzyme metabolism, blood lipid level, physical activity, diet, sleep duration, shift work, high temperature, noise, dust, and carbon monoxide exposure, the RCS model showed a nonlinear dose-response relationship between LAN and NAFLD ( 2=71.59, P<0.001 for overall association test and 2=16.92, P<0.001 for nonlinear test); Multivariate Logistic regression model showed that after adjusting for all confounding factors, when the LAN in the 1 178 d ~ 2 017 d and 2 017 d ~ group, the prevalence of NAFLD increased by 21.7% (OR=1.217, 95% CI: 1.027-1.441) and 47.9% (OR=1.479, 95% CI: 1.240-1.763), respectively, when compared with the group LAN<1 178 d. Conclusion There is a nonlinear dose-response relationship between LAN and NAFLD in steel works.