Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Dynamic knee loads during gait predict proximal tibial bone distribution

D E Hurwitz1, D R Sumner, T P Andriacchi

  • 1Department of Orthopedic Surgery, Rush-Presbyterian-St. Luke's Medical Center, Chicago, IL 60612, USA. dhurwitz@rpslmc.edu

Journal of Biomechanics
|September 4, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Longitudinal changes in tibial and femoral cartilage thickness are associated with baseline ambulatory kinetics and cartilage oligomeric matrix protein (COMP) measures in an asymptomatic aging population.

Osteoarthritis and cartilage·2021
Same author

Bacterial Streak and Bulb Rot of Sweet Onion: II. Epiphytic Survival of Pseudomonas viridiflava in Association with Multiple Weed Hosts.

Plant disease·2019
Same author

First Report of Downy Mildew (Caused by Peronospora destructor) of Onion in Georgia.

Plant disease·2019
Same author

First Report of Rhizoctonia solani AG-2-4 on Carrot in Georgia.

Plant disease·2019
Same author

Importance of Fungicide Seed Treatment and Environment on Seedling Diseases of Cotton.

Plant disease·2019
Same author

Modeling knee osteoarthritis pathophysiology using an integrated joint system (IJS): a systematic review of relationships among cartilage thickness, gait mechanics, and subchondral bone mineral density.

Osteoarthritis and cartilage·2018

The knee adduction moment during walking predicts proximal tibial bone distribution. Combining this with body weight and plateau force ratios significantly improves prediction accuracy for bone load distribution.

Area of Science:

  • Biomechanics
  • Orthopedics
  • Human Movement Analysis

Background:

  • Dynamic knee loads are crucial for understanding tibial load distribution.
  • Gait analysis offers a non-invasive method to estimate these loads.
  • Previous research suggests a link between knee loading and bone structure, particularly in osteoarthritis.

Purpose of the Study:

  • To validate the prediction of dynamic knee loads using gait measurements.
  • To examine the relationship between predicted knee loads and tibial bone distribution.
  • To investigate the correlation between the knee adduction moment and medial-lateral tibial bone mineral content.

Main Methods:

  • Measured knee motion, forces, and moments during gait.
  • Utilized a muscle model to predict medial and lateral tibial plateau forces.

Related Experiment Videos

  • Assessed bone mineral content (BMC) using dual-energy X-ray absorptiometry (DXA) in proximal and distal tibial regions.

    • Main Results:

    • The knee adduction moment was the best single predictor of proximal medial-lateral bone distribution (R²=0.31).
    • Including body weight and medial-to-lateral plateau force ratio significantly enhanced prediction (R²=0.72).
    • No significant predictors for distal bone distribution were found, possibly due to more even force distribution.

    Conclusions:

    • This study provides the first evidence linking the knee adduction moment during gait to underlying tibial bone distribution.
    • Predicted dynamic knee loads, particularly the adduction moment, are valuable for understanding bone adaptation.
    • The findings have implications for predicting joint loading and bone health in conditions like knee osteoarthritis.