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Trunk muscle forces and spinal loads during heavy deadlift: Effects of personalization, muscle wrapping, muscle lever arm, and lumbopelvic rhythm

  • Vanessa Ramirez
  • , Farshid Ghezelbash
  • , Aboulfazl Shirazi-Adl
  • , Babak Bazrgari

Producción científica: Articlerevisión exhaustiva

7 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Número de artículoe3680
PublicaciónInternational Journal for Numerical Methods in Biomedical Engineering
Volumen39
N.º4
DOI
EstadoPublished - abr 2023

Nota bibliográfica

Publisher Copyright:
© 2023 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons Ltd.

Financiación

The authors would like to acknowledge the Department of Kinesiology and Health Promotions Graduate Student Research Grant at the University of Kentucky that funded this work.

Financiadores
Department of Kinesiology and Health Promotions
University of Kentucky

    ASJC Scopus subject areas

    • Software
    • Biomedical Engineering
    • Modeling and Simulation
    • Molecular Biology
    • Computational Theory and Mathematics
    • Applied Mathematics

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