BackgroundBus and truck drivers are apparently more involved in metabolic syndrome and its complications due to their working conditions. The related impacts are not only harmful for driver's health, but also may endanger others. The present research was carried out to determine the prevalence of metabolic syndrome among bus and truck drivers in Kashan, a city in Iran.MaterialsIn 2007, 429 bus and truck male drivers were enrolled to this cross sectional study to examine the metabolic syndrome using ATPIII criteria. Statistical tests including Chi-Square test, T-student test and Pearson's correlation coefficient were used to analyze the data.ResultsPrevalence of metabolic syndrome in subjects was 35.9%. Hypertension and diabetes were seen in 42.9% and 7% of the drivers respectively. Body mass index (BMI) in 41% of the drivers within the range of 25-30 was considered overweight and 23% of them were found to be obese. High triglyceride (53.4%) and low HDL-C levels (48.7%) were more common than other components of metabolic syndrome. A significant positive correlation was seen between BMI, diabetes, high blood pressure and metabolic syndrome (p < 0.001); but there was no positive correlation between metabolic syndrome and smoking (p < 0.06).ConclusionHigh prevalence of metabolic syndrome and other relevant risk factors for coronary heart diseases (CHD) were detected among the drivers. Based on these findings, it is recommended to consider training programs, establish pertinent health regulations, and focus on the metabolic syndrome complications in high risk group to improve and maintain their quality of life and to promote their public health.
Structural equation modeling may provide methodological opportunities in occupational health research with a potential to explain the complexity of interactions among risk factors. Prevention of work-related musculoskeletal disorders among nurses must account for physical and psychosocial conditions.
Background: Students, staff, and faculties are involved in activities that exposed them to a range of minor to severe or even fatal accidents in academic settings. Managing work environment risks is crucial to any safety and health prevention program. This study developed a risk assessment using combinations of hazards and risk factors to establish a scale of measures in a risk reduction action plan. Methods: This cross-sectional study was conducted in an Iranian medical sciences university in 2018. A structured method of risk assessment was developed, applying a three-step procedure to identify hazards, consequences, and risk evaluation. Data were collected through detailed health, safety, and environment checklist in 38 different sites. Finally, the risks quantified, prioritized, and control measures proposed accordingly. Chi-square and correlation tests assessed how environmental factors were associated with hazard consequences. The analysis results were evaluated at the significance level of 0.05. Results: The frequencies of moderate and high-risk levels were 22.7 and 2.9%, respectively. Thus, corrective measures should be considered as soon as possible and immediately for these risk groups. Facilities and functions within laboratories, library, and powerhouse were more vulnerable to serious risks. The type of hazard had associated with the sites and total risk score at the significance level of 0.05 (P-value = 0.017). Similarly, risk severity was significantly related to the sites (P-value = 0.003). Safety hazards had a statistically higher contribution to the total risk score when compared to health and environmental hazards. Conclusion: The study revealed complex risks and hazardous circumstances with significant variances in academic sites and activities. Universities should provide training in risk reduction programs to increase the awareness of students, staff, and faculties, which can improve life safety in a university environment.
Objectives: Work-related musculoskeletal disorders are a significant occupational problem among employees and workers. This study attempted to explore the effect of stressors in the hospital environment on nurses' development of musculoskeletal disorders. Methods: We conducted a cross-sectional survey in a random sample of 123 hospital nurses from Semnan University of Medical Sciences. Data were collected during working days over 3 months starting from January 2014. Participants completed a standardized questionnaire for stresses and musculoskeletal disorders at work. Musculoskeletal disorders were used as the dependent variables, while demographic, physical, and psychosocial work factors were used as independent variables. Results: Our study revealed prevalence of low back ache, neck ache, shoulder ache, arm-elbow ache, and hand-wrist pain rated 48.3%, 39.5%, 33.1%, 31.3%, and 23.4%, respectively. The findings showed significant statistical association between musculoskeletal complaints in neck and upper extremity with exposed stress levels (P = 0.04). Musculoskeletal symptoms rates increased in employees experienced poor work posture (P = 0.01), fatigue (P = 0.04), and work-family conflict (P = 0.04). Conclusions:This study provides indication of the relationship between work environment stress levels and musculoskeletal disorders. Physical and psychosocial stressors should be considered for the development of preventive measures.
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