Literature DB >> 21168928

Effect of stride frequency on the energy cost of walking in obese teenagers.

Anne Delextrat1, Dionne Matthew, Daniel D Cohen, Jeanick Brisswalter.   

Abstract

The aim of this study was to compare the energy cost of obese and non-obese teenagers while walking at their preferred speed and different stride frequencies. Twelve obese and twelve non-obese teenagers walked continuously on the treadmill at their most comfortable speed for 6 periods of 4 min each. Each period corresponded to a specific stride frequency: preferred (PSF), force-driven harmonic oscillator (FDHO), PSF+10%, PSF+20%, PSF-10% and PSF-20%. Cardiorespiratory parameters were collected between the 3rd and 4th minute of each stage, and used to calculate the energy cost of walking (EC). The main results showed a significantly higher cost of walking expressed relative to lean body mass. In addition, a U-shaped relationship between EC and stride frequency was shown in both groups, with PSF and FDHO leading to a significantly lower value compared to all other frequencies. This showed first, that FDHO is a good predictor of PSF and minimal energy cost of walking in both groups, and second, that excess body fat does not affect the relationship between energy expenditure and stride frequency. Walking at lower or higher than preferred frequencies could be used as an exercise mode to promote weight loss in obese teenagers.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21168928     DOI: 10.1016/j.humov.2010.10.004

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  5 in total

1.  The association of waist circumference with walking difficulty among adults with or at risk of knee osteoarthritis: the Osteoarthritis Initiative.

Authors:  S V Gill; G E Hicks; Y Zhang; J Niu; C M Apovian; D K White
Journal:  Osteoarthritis Cartilage       Date:  2016-08-01       Impact factor: 6.576

2.  Kinematic, Cardiopulmonary, and Metabolic Responses of Overweight Runners While Running at Self-Selected and Standardized Speeds.

Authors:  Laura Ann Zdziarski; Cong Chen; Marybeth Horodyski; Kevin R Vincent; Heather K Vincent
Journal:  PM R       Date:  2015-07-02       Impact factor: 2.298

3.  Excess body weight and gait influence energy cost of walking in older adults.

Authors:  Dain P Laroche; Nise R Marques; Heidi N Shumila; Christopher R Logan; Robyn St Laurent; Mauro Gonçalves
Journal:  Med Sci Sports Exerc       Date:  2015-05       Impact factor: 5.411

4.  The impact of weight classification on safety: timing steps to adapt to external constraints.

Authors:  S V Gill
Journal:  J Musculoskelet Neuronal Interact       Date:  2015-03       Impact factor: 2.041

5.  Walking performance: correlation between energy cost of walking and walking participation. new statistical approach concerning outcome measurement.

Authors:  Marco Franceschini; Anais Rampello; Maurizio Agosti; Maurizio Massucci; Federica Bovolenta; Patrizio Sale
Journal:  PLoS One       Date:  2013-02-28       Impact factor: 3.240

  5 in total

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