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
Safety and Health at Work
University of Utah, Salt Lake City, Utah