title: An evaluation of predictive methods for estimating cumulative spinal loading.
abstract: The focus of this study was to assess the amount of error present in several approaches that have been commonly used to estimate the cumulative spinal loading during manual materials handling tasks. Three male subjects performed three sagittal plane lifting tasks of varying loads and postural requirements. Video recordings of the tasks were digitized and a biomechanical model was used to calculate the spinal loading (compression, joint shear, reaction shear, and flexion/extension moment) at L4/L5 for each frame of data. The 'gold standard' for cumulative loading experienced by the subjects was obtained by integrating the resultant biomechanical model outputs for the entire lifting cycle. Five approaches that quantify cumulative spinal loading, four that use discrete measures and one that reduces the number of frames used (5 Hz), were used and compared with the gold standard. The four methods using discrete measures to quantify the cumulative demands of a task resulted in substantial errors (average error across task and subjects was 27-69%). Reducing the number of frames of data processed to 5 frames/s preserved the time varying information and was the only approach examined that did not induce significant error into the cumulative loading estimates. This study indicates that errors in cumulative spinal loading estimates can be large depending upon the approach used, which will hinder any progress in developing a dose-response link between cumulative exposure and an increased risk of low-back pain or injury.
authors.affiliation: Department of Human Biology and Nutritional Sciences, College of Biological Science, University of Guelph, Ontario, Canada. jcallagh@uoguelph.ca
authors.forename: J P
authors.initials: JP
authors.lastname: Callaghan
authors.forename: A J
authors.initials: AJ
authors.lastname: Salewytsch
authors.forename: D M
authors.initials: DM
authors.lastname: Andrews
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D006804:Ergonomics; D006801:Humans; D017770:Lifting; D008297:Male; D012107:Research Design; D013131:Spine / Q000502:physiology*; D013223:Statistics as Topic / Q000379:methods*; D013314:Stress, Mechanical; D016474:Weight-Bearing / Q000502:physiology