Login / Signup

Predictive Factors of Short-Term Related Musculoskeletal Pain in the Automotive Industry.

Ana AssunçãoVera Moniz-PereiraCarlos FujaoSarah BernardesAntónio Prieto VelosoFilomena Carnide
Published in: International journal of environmental research and public health (2021)
To determine the short-term associations between biomechanical risk factors and musculoskeletal symptoms in the upper limbs and low back in an automotive company, a longitudinal study with a follow-up of 4 days was conducted in a sample of 228 workers of the assembly and paint areas. Data were analyzed using generalized estimating equations, calculating the crude and adjusted model for age, sex, seniority, and intensity of pain at baseline. The interactions found were the same for both models. Workers were divided in low-risk and high-risk group for posture, force, exposure, percentage of cycle time with the arm at/above shoulder level, and with the trunk flexed or/and strongly flexed. The predictive factors showed by time × group effect were found between pain intensity on the left shoulder for posture (β = 0.221, p < 0.001), percentage of time with the trunk flexed (β = 0.136, p = 0.030) and overall exposure (β = 0.140, p = 0.013). A time × group interactions were observed, namely between neck pain and posture (β = 0.218, p = 0.005) and right wrist and force (β = 0.107, p = 0.044). Workers in the high-risk group were more prone to report unfavorable effects on their self-reported musculoskeletal pain, across a workweek when exposed to specific risk factor, being posture important to neck, right wrist and left shoulder pain.
Keyphrases
  • chronic pain
  • risk factors
  • pain management
  • neuropathic pain
  • machine learning
  • postoperative pain
  • depressive symptoms
  • physical activity
  • spinal cord injury
  • electronic health record
  • sleep quality