Predictive variables for musculoskeletal problems in professional drivers

摘要: Abstract Background Professional drivers are considered prone to health risks with a high prevalence of diverse types pain. Several authors have analyzed how certain work characteristics can produce musculoskeletal disorders in professional drivers. Drivers usually report back pain as stressor, but they also areas such the neck, shoulders and knees. Physical agents (vibrations noise), postural stress, density traffic, numerous frequent tasks put at risk disorders, fatigue, effects on drivers’ mental health. For this reason, we conducted predictive study analyze variables that may be predictors stress driving. Methods In present develop model for uses following indicators: Age, Gender, Seat Comfort, Suspension, Adjustable Lumbar Support driver's seat, Driving Hours, Sleep Quality, Driver Stress, Irritation, Hardiness, Burnout, Safety Behaviors Impulsivity. Participants were 372 from various transport sectors recruited via non-probabilistic sampling. used SPSS 25.0 program. Results The predict trunk problems were: Psychophysiological Disorders, Challenge, ME Extremities. These account 30.6% criterion variable's variance. extremities Truck, Cognitive Cynicism Emotional Irritation. 34.3% best predictor was Disorders. Conclusions This helps extend knowledge aim improving results highlight importance designing individual interventions reduce incidence would provide greater well-being lead reduction sick leave.