Two linear regression models predicting cumulative dynamic L5/S1 joint moment during a range of lifting tasks based on static postures

Ergonomics. 2012;55(9):1093-103. doi: 10.1080/00140139.2012.693627. Epub 2012 Jul 17.

Abstract

Previous studies have indicated that cumulative L5/S1 joint load is a potential risk factor for low back pain. The assessment of cumulative L5/S1 joint load during a field study is challenging due to the difficulty of continuously monitoring the dynamic joint load. This study proposes two regression models predicting cumulative dynamic L5/S1 joint moment based on the static L5/S1 joint moment of a lifting task at lift-off and set-down and the lift duration. Twelve men performed lifting tasks at varying lifting ranges and asymmetric angles in a laboratory environment. The cumulative L5/S1 joint moment was calculated from continuous dynamic L5/S1 moments as the reference for comparison. The static L5/S1 joint moments at lift-off and set-down were measured for the two regression models. The prediction error of the cumulative L5/S1 joint moment was 21 ± 14 Nm × s (12% of the measured cumulative L5/S1 joint moment) and 14 ± 9 Nm × s (8%) for the first and the second models, respectively. Practitioner Summary: The proposed regression models may provide a practical approach for predicting the cumulative dynamic L5/S1 joint loading of a lifting task for field studies since it requires only the lifting duration and the static moments at the lift-off and/or set-down instants of the lift.

MeSH terms

  • Analysis of Variance
  • Biomechanical Phenomena
  • Female
  • Humans
  • Imaging, Three-Dimensional
  • Lifting / adverse effects*
  • Linear Models*
  • Low Back Pain / etiology
  • Lumbar Vertebrae / physiology*
  • Male
  • Middle Aged
  • Models, Anatomic
  • Posture / physiology*
  • Sacrum / physiology*
  • Statistics as Topic
  • Task Performance and Analysis
  • Weight-Bearing / physiology*