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Surveying the Impact of Work Hours and Schedules on Commercial Motor Vehicle Driver Sleep
Hege, Adam,Perko, Michael,Johnson, Amber,Yu, Chong Ho,Sonmez, Sevil,Apostolopoulos, Yorghos Occupational Safety and Health Research Institute 2015 Safety and health at work Vol.6 No.2
Background: Given the long hours on the road involving multiple and interacting work stressors (i.e., delivery pressures, irregular shifts, ergonomic hazards), commercial drivers face a plethora of health and safety risks. Researchers goal was to determine whether and to what extent long-haul trucker work schedules influence sleep duration and quality. Methods: Survey and biometric data collected from male long-haul truck drivers at a major truckstop in central North Carolina over a six month period. Results: Daily hours worked (mean = 11 hours, 55 minutes) and frequency of working over government-mandated daily HOS regulations (23.8% "frequently or always") were statistically significant predictors of sleep duration. Miles driven per week (mean = 2,812.61), irregular daily hours worked (63.8%), and frequency of working over the daily hour limit (23.8% "frequently or always") were statistically significant predictors of sleep quality. Conclusion: Implications of findings suggest a comprehensive review of the regulations and operational conditions for commercial motor vehicle drivers be undertaken.
Surveying the Impact of Work Hours and Schedules on Commercial Motor Vehicle Driver Sleep
Adam Hege,Michael Perko,Amber Johnson,유창호,Sevil Sönmez,Yorghos Apostolopoulos 한국산업안전보건공단 산업안전보건연구원 2015 Safety and health at work Vol.6 No.2
Background: Given the long hours on the road involving multiple and interacting work stressors (i.e., delivery pressures, irregular shifts, ergonomic hazards), commercial drivers face a plethora of health and safety risks. Researchers goal was to determine whether and to what extent long-haul trucker work schedules influence sleep duration and quality. Methods: Survey and biometric data collected from male long-haul truck drivers at a major truckstop in central North Carolina over a six month period. Results: Daily hours worked (mean ¼ 11 hours, 55 minutes) and frequency of working over governmentmandated daily HOS regulations (23.8% “frequently or always”) were statistically significant predictors of sleep duration. Miles driven per week (mean ¼ 2,812.61), irregular daily hours worked (63.8%), and frequency of working over the daily hour limit (23.8% “frequently or always”) were statistically significant predictors of sleep quality. Conclusion: Implications of findings suggest a comprehensive review of the regulations and operational conditions for commercial motor vehicle drivers be undertaken.