Optimization of walking in children.

Previous work demonstrated that adults naturally adopt a walking frequency to optimize physiological cost, symmetry, and stability. Furthermore, the optimal frequency is predictable using the force-driven harmonic oscillator (FDHO) model. However, no studies have established the developmental proces...

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Publicado en:Medicine & Science in Sports & Exercise Vol. 29; no. 3; pp. 370 - 377
Autores principales: Jeng S, Liao H, Lai J, Hou J
Formato: research tables/charts Journal Article
Publicado: Lippincott Williams & Wilkins 1997 Mar
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 1997 Mar
      vid: 29
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        atl: Optimization of walking in children.
      aug:
        au:
          Jeng S
          Liao H
          Lai J
          Hou J
        affil: School of Physical Therapy, College of Medicine, National Taiwan University, No. 7 Chun-Shan South Road, Taipei, Taiwan
      sug:
        subj:
          Walking In Infancy and Childhood
          Child Development
          Videorecording
          Energy Metabolism In Infancy and Childhood
          Gait Analysis
          Musculoskeletal System Physiology In Infancy and Childhood
          Kinematics
          Treadmills
          Two-Way Analysis of Variance
          One-Way Analysis of Variance
          Multivariate Analysis of Variance
          Repeated Measures
          Child, Preschool
          Child
          Female
          Male
          Funding Source
          Human
          Child, Preschool: 2-5 years
          Child: 6-12 years
          Female
          Male
      ab: Previous work demonstrated that adults naturally adopt a walking frequency to optimize physiological cost, symmetry, and stability. Furthermore, the optimal frequency is predictable using the force-driven harmonic oscillator (FDHO) model. However, no studies have established the developmental processes of optimization in children. Thus, the purposes of this study were to examine the predictability of the preferred stride frequency (PSF) and optimization features of 3- to 12-yr-old children using the FDHO model. Forty-five children and nine adults were measured for anthropometric data to calculate the predicted frequency. They later walked at three frequencies (PSF, PSF +25%, and PSF -25%) at a constant speed on a treadmill. The results indicated that the FDHO model was accurate in predicting the preferred frequency of children (prediction error < 0.07 s). We identified three stages of learning in the development of optimization: an early manifestation of sensitivity to resonant frequency, the subsequent development of ability to modulate walking frequency, and the final establishment of an adult optimization form at age seven. Our findings suggest that walking development may be determined by the dynamic cooperation of physiological, neural, and musculoskeletal systems with respect to the environmental context.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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