NIOSHTIC-2 Publications Search

Prediction of peak back compressive forces as a function of lifting speed and compressive forces at lift origin and destination - a pilot study.

Greenland-KO; Merryweather-AS; Bloswick-DS
Saf Health Work 2011 Sep; 2(3):236-242
OBJECTIVES: To determine the feasibility of predicting static and dynamic peak back-compressive forces based on (1) static back compressive force values at the lift origin and destination and (2) lifting speed. METHODS: Ten male subjects performed symmetric mid-sagittal floor-to-shoulder, floor-to-waist, and waist-to-shoulder lifts at three different speeds (slow, medium, and fast), and with two different loads (light and heavy). Two-dimensional kinematics and kinetics were captured. Linear regression analyses were used to develop prediction equations, the amount of predictability, and significance for static and dynamic peak back-compressive forces based on a static origin and destination average (SODA) back-compressive force. RESULTS: Static and dynamic peak back-compressive forces were highly predicted by the SODA, with R(2) values ranging from 0.830 to 0.947. Slopes were significantly different between slow and fast lifting speeds (p < 0.05) for the dynamic peak prediction equations. The slope of the regression line for static prediction was significantly greater than one with a significant positive intercept value. CONCLUSION: SODA under-predict both static and dynamic peak back-compressive force values. Peak values are highly predictable and could be readily determined using back-compressive force assessments at the origin and destination of a lifting task. This could be valuable for enhancing job design and analysis in the workplace and for large-scale studies where a full analysis of each lifting task is not feasible.
Musculoskeletal-system; Manual-lifting; Manual-materials-handling; Biomechanics; Back-injuries; Force; Body-burden; Body-mechanics; Body-regions; Cumulative-trauma; Analytical-models; Analytical-processes; Task-performance; Men; Kinetics; Overloading; Physiological-measurements; Physiological-effects; Mathematical-models; Risk-analysis; Risk-factors; Author Keywords: Lifting; Biomechanics; Linear models; Workplace; Risk assessment
Donald S. Bloswick, Department of Mechanical Engineering, University of Utah, 50 S Central Campus Dr, Rm 2110, Salt Lake City, UT 84112
Publication Date
Document Type
Journal Article
Email Address
Funding Type
Fiscal Year
Identifying No.
Issue of Publication
Source Name
Safety and Health at Work
Performing Organization
University of Utah, Salt Lake City, Utah
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division