Understanding Anthropometric Characteristics Associated With Performance in Manual Lifting Tasks
Autor: | Kane J Middleton, Daniel C. Billing, Joanne N. Caldwell, Ben Beck, Greg L. Carstairs |
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Rok vydání: | 2019 |
Předmět: |
Adult
Male medicine.medical_specialty Lifting Occupational injury Physical Therapy Sports Therapy and Rehabilitation Fat mass 03 medical and health sciences Absorptiometry Photon 0302 clinical medicine Task Performance and Analysis medicine Humans Injury risk Body Weights and Measures Orthopedics and Sports Medicine 030212 general & internal medicine Anthropometry Multivariable linear regression Lift (data mining) 030229 sport sciences General Medicine Middle Aged medicine.disease Occupational Injuries body regions Military Personnel Body Composition Linear Models Physical therapy Lean body mass Female Psychology human activities |
Zdroj: | Journal of Strength and Conditioning Research. 33:755-761 |
ISSN: | 1064-8011 |
DOI: | 10.1519/jsc.0000000000002113 |
Popis: | Beck, B, Middleton, KJ, Billing, DC, Caldwell, JN, and Carstairs, GL. Understanding anthropometric characteristics associated with performance in manual lifting tasks. J Strength Cond Res 33(3): 755-761, 2019-Manual lifting is an essential military job task and is commonly linked to occupational injury. Methods to reduce injury risk focus on ensuring that employees have the requisite physical capacity to safely conduct critical job tasks. The aim of this study was to investigate which anthropometric characteristics are associated with lifting performance to inform targeted training programs for job-critical lifting tasks. Sixty-three (42 men and 21 women) participants conducted 3 maximal lifts to a platform (pack lift to 1.5 m, box lift to 1.3 m and box lift to 1.5 m). A dual-energy x-ray absorptiometry scan was used to quantify anthropometric characteristics (body region-specific lean mass and fat mass). Although anthropometric measures were strongly associated with each other, multivariable linear regression revealed that a significant proportion of the total variation in lifting performance in each of the 3 tasks was explained by upper-arm lean mass (pack lift: β = 5.42, p < 0.001; box lift 1.3 m: β = 5.64, p < 0.001; box lift 1.5 m: β = 7.00, p < 0.001). Leg lean mass also significantly contributed to the variation of pack lift performance (β = 0.93, p = 0.01). When controlling for key anthropometric characteristics in these 3 tasks, separate analyses showed no significant effect of sex or stature on lift performance. These results suggest that the perceived limitations of stature and sex may be overcome by targeted training programs to improve specific physical characteristics associated with lifting performance. |
Databáze: | OpenAIRE |
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