Development of predictive equations for lifting strengths.
The purpose of the study was to determine relationship between lifting strengths of male and female subjects and body posture, type of lift (stoop or squat) and velocity of lift. Thirty normal young adults (18 males and 12 females) volunteered for the study. All subjects were required to perform a total of 56 tasks. Of these, 28 were stoop lifts and 28 were squat lifts. In each of the categories of stoop and squat lifts, the strengths were tested in standard posture, isokinetic (linear velocity of 500 mm/s), and isometric modes at half, three-quarters and full horizontal individual reach distances in sagittal, 30 degrees lateral and 60 degrees lateral planes. The strengths were measured using a static dynamic strength tester with a load cell and an IBM microcomputer with an A/D card. The peak and average strength values were extracted and statistically compared across conditions and gender (ANOVA). Finally a multiple regression analysis was carried out to predict strength as a function of reach, posture and velocity of lift. The ANOVA revealed a highly significant effect of gender, reach, plane and velocity (p < 0.01). All regression equations (108) were significant (p < 0.01), and more than 70% of variance in lifting strength was accounted for by the anthropometric variables and sagittal plane strength values. Such an established relationship allows one to predict the human lifting strength capabilities for industrial application based on simple anthropometric and strength characteristics.
Kumar
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Department of Physical Therapy, University of Alberta, Edmonton, Alberta, T6G 2G4 Canada.