Multiple environmental and psychosocial work risk factors and sleep disturbances.

BACKGROUND: This study aimed to investigate the relationship between multiple psychosocial and environmental work risk factors and sleep disturbances. METHODS: This cross-sectional study was conducted among 90 workers in a brick factory in Iran. The health and safety executive (HSE) tool, Epworth Sleepiness Scale (ESS), and Stop-Bang questionnaire were used to determine psychosocial factors, subjective sleepiness, and obstructive sleep apnea (OSA), respectively. Standard objective methods were used to assess the environmental risk factors, including noise, light, heat stress, and respirable particles. RESULTS: Most psychosocial and all environmental work factors were moderately to highly correlated to the ESS score. There were also moderate correlations between the demands (including work load, work patterns, and work environment), role (including a clear understanding of the employees about their role in the organization), and lighting variables and the Stop-Bang score. The results of multivariate logistic regression analysis showed that job control, wet bulb globe temperature (WBGT), and respirable dust were predictive of an ESS score indicating abnormal sleep status and noise was predictive of a Stop-Bang score predictive of OSA. CONCLUSIONS: The results suggest that stressors, especially noise, heat stress, and respirable dust, are related to the employees' indices of sleep disturbance independent of other potential workplace confounding factors. These results can highlight the importance of considering multiple psychosocial and environment work risk factors for implementing occupational health and ergonomics interventional programs to prevent sleep disturbances in the workforce.

Upper extremity musculoskeletal symptoms among Iranian hand-woven shoe workers.

BACKGROUND: Studies have demonstrated that upper extremity musculoskeletal disorders (UEMSDs) are highly prevalent among weavers. In Iran, little information is available regarding the prevalence of MSDs and their causal risk factors among hand-woven shoe workers. This cross-sectional study aimed to determine the prevalence of UEMSDs and to identify risk factors associated with UEMSDs symptoms among 586 Iranian hand-woven shoe workers. METHODS: The data were collected using the Nordic Musculoskeletal Questionnaire and by direct observation of working postures via the Rapid Upper Limb Assessment (RULA) technique to determine ergonomic risks. RESULTS: The prevalence of MSDs symptoms was high among the hand-woven shoe workers. The mean RULA grand score of 6.3 indicated that in most cases the workers' postures at their workstations needs to be investigated and changed immediately to prevent musculoskeletal injuries. The highest prevalence rates of MSDs were observed in the shoulders, wrists and arms. The result of multiple logistic regression modeling showed that risk factors associated with UEMSD symptoms were job experience, daily working hours, job satisfaction, working posture, work pressure, and discomfort at workstation, as well as individual factors, such as age, gender, BMI, material status, working conditions, education level, and lack of regular sport/physical activities. CONCLUSIONS: The findings of the present study emphasize that any interventional program in this industry has to focus on improving working conditions particularly by designing ergonomics-oriented workstations and hand tools.