ArticleInternational journal of environmental research and public health2022
The Effect of Body Composition on Gait Variability Varies with Age: Interaction by Hierarchical Moderated Regression Analysis.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of Exercise in Patients with Overweight or Obesity Suffering from Knee Osteoarthritis: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
- Body mass index has consistent effects on the magnitude of gait variability while its effect on the temporal structure of gait variability is age-dependent.European journal of applied physiology · 2026Article
- The reciprocal relationship between gait and handgrip strength across different age groups.Frontiers in public health · 2025Article
- Experimental Comparison between 4D Stereophotogrammetry and Inertial Measurement Unit Systems for Gait Spatiotemporal Parameters and Joint Kinematics.Sensors (Basel, Switzerland) · 2024Article
- Knee biomechanics variability before and after total knee arthroplasty: an equality of variance prospective study.Scientific reports · 2024Article
- Body Composition, Falls, and Freezing of Gait in Parkinson's Disease: Gender-Specific Effects.The Journal of frailty & aging · 2024Article
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Authors and funding
2 authors.
Funding
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Abstract
Although body composition has been found to affect various motor functions (e.g., locomotion and balance), there is limited information on the effect of the interaction between body composition and age on gait variability. The purpose of this study was to determine the effect of body composition on gait according to age. A total of 80 men (40 young and 40 older males) participated in the experiment. Body composition was measured using bioelectrical impedance analysis (BIA), and gait parameters were measured with seven-dimensional inertial measurement unit (IMU) sensors as each participant walked for 6 min at their preferred pace. Hierarchical moderated regression analysis, including height as a control variable and age as a moderator variable, was performed to determine whether body composition could predict gait parameters. In young males, stride length decreased as body fat percentage (BFP) increased (R
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