Trunk muscle forces and spinal loads during heavy deadlift: Effects of personalization, muscle wrapping, muscle lever arm, and lumbopelvic rhythm.
Published In: International Journal for Numerical Methods in Biomedical Engineering, 2023, v. 39, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ramirez, Vanessa; Ghezelbash, Farshid; Shirazi‐Adl, Aboulfazl; Bazrgari, Babak 3 of 3
Abstract
Heavy deadlift is used as a physical fitness screening tool in the U.S. Army. Despite the relevance of such a screening tool to military tasks performed by Service Members, the biomechanical impact of heavy deadlift and its risk of low‐back injury remain unknown. A kinematics‐driven musculoskeletal model of spine was implemented to investigate biomechanics of the lower back in a volunteer (23 years old, height of 1.82 m, and body mass of 98.8 kg) during a 68 kg deadlift. In search of protective mechanisms, effects of model personalization and variations in trunk musculature and lumbopelvic rhythm were also investigated. The net moment, compression and shear forces at the L5‐S1 reached peaks of 684 Nm, 17.2 and 4.2 kN, respectively. Geometrical personalization and changes in lumbopelvic rhythm had the least effects on predictions while increases in muscle moment arms (40%) had the largest effects that caused, respectively, 32% and 36% decrease in the maximum compressive and shearing forces. Initiating wrapping of back muscles at farther distances from the spine had opposing effects on spinal loads; peak compression at the L5‐S1 decreased by 12% whereas shear increased by 19%. Despite mechanisms considered, spinal loads during heavy deadlift exceed the existing evidence concerning the threshold of injury for spinal segments, suggesting the vulnerability to injury. Chronic exposure to such high‐spinal loads may lead to (micro) fractures, degeneration, pathoanatomical changes and finally low‐back pain. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal for Numerical Methods in Biomedical Engineering. 2023/04, Vol. 39, Issue 4, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2023
- ISSN:2040-7939
- DOI:10.1002/cnm.3680
- Accession Number:163049568
- Copyright Statement:Copyright of International Journal for Numerical Methods in Biomedical Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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