The effect of walking speed on spinal loads and trunk muscle forces using subject-specific musculoskeletal modeling: A database for clinical and modeling applications.

Background: Gait analysis of patients with spinal disorders at different walking speeds helps clinicians diagnose conditions and investigate treatment/rehabilitation effectiveness. A subject-specific database for trunk muscle forces and lumbar spine loads of healthy individuals during different walk...

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Publicado en:Journal of Orthopaedic Surgery & Research Vol. 20; no. 1; pp. 1 - 15
Autores principales: Jamshidian, Ali, Rouyin, Alireza, Nazemi, Hamed, Arjmand, Navid, El-Rich, Marwan
Formato: pictorial research tables/charts Journal Article
Publicado: BioMed Central 11/4/2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/4/2025
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      pub: BioMed Central
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        10.1186/s13018-025-06408-5
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        atl: The effect of walking speed on spinal loads and trunk muscle forces using subject-specific musculoskeletal modeling: A database for clinical and modeling applications.
      aug:
        au:
          Jamshidian, Ali
          Rouyin, Alireza
          Nazemi, Hamed
          Arjmand, Navid
          El-Rich, Marwan
        affil: https://ror.org/024c2fq17 Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
      sug:
        subj:
          Walking Speed
          Gait Analysis
          Muscle, Skeletal
          Lumbar Vertebrae
          Torso
          Muscle Strength Evaluation
          Weight-Bearing Evaluation
          Biomechanics
          Human
          Male
          Adult
          Iran
          Experimental Studies
          Comparative Studies
          Funding Source
          Simulations
          Ground Reaction Force
          One-Way Analysis of Variance
          Post Hoc Analysis
          Descriptive Statistics
          Data Analysis Software
          Kinematics
          Motion Capture
          Shear
          Multifidus Muscles
          Abdominal Oblique Muscles
          Erector Spinae Muscles
          Adult: 19-44 years
          Male
      ab: Background: Gait analysis of patients with spinal disorders at different walking speeds helps clinicians diagnose conditions and investigate treatment/rehabilitation effectiveness. A subject-specific database for trunk muscle forces and lumbar spine loads of healthy individuals during different walking speeds is therefore useful. Methods: Ten healthy participants walked at three speeds (slow, normal, and fast) while motion and force-plate data were collected. Force in trunk muscles and loads on the lumbar spine discs were estimated using subject-specific musculoskeletal simulations in OpenSim. Model predictions at different walking speeds were statistically compared. Results: The time-dependent subject-specific force in all major trunk muscles and compression/shear loads at all lumbar spine discs (T12-S1) were reported for all walking speeds. Significant differences were observed in the average of peak compression between the fast and both slow/normal walking speed conditions across all lumbar discs (p < 0.001). With the exception of the L4-S1 discs, significant differences in the average of peak anterior–posterior and medio-lateral shear loads were also found between the fast and both slow/normal walking speed conditions. Significant differences (p < 0.007) in the average of peak muscle forces were generally found between the fast and both slow/normal walking speed conditions. Conclusions: This study presents a normative, subject-specific database of lumbar loading and muscle forces during walking at multiple speeds. These data provide a useful reference for future research in spinal biomechanics and musculoskeletal modeling. Furthermore, the database may serve as a baseline for assessing altered gait patterns and spinal loads in individuals with spinal disorders, supporting future clinical applications.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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