Literature DB >> 12436278

Comparison between preferred and energetically optimal transition speeds in adolescents.

Wayland Tseh1, Jeff Bennett, Jennifer L Caputo, Don W Morgan.   

Abstract

The primary focus of this investigation was to determine whether differences exist between the preferred transition speed (PTS) and the energetically optimal transition speed (EOTS) in a group of adolescents. Ten 11-, ten 13-, and ten 15-year-olds completed four testing sessions. Following 30 min of accommodation to treadmill walking and running (session 1), the PTS between walking and running was identified in session 2. In session 3, subjects walked on a level treadmill at 70%, 80%, 90%, 100%, and 110% of respective PTS, while in session 4, children ran on a level treadmill at 90%, 100%, 110%, 120%, and 130% of respective PTS. During the last 2 min of each 5-min walking and running bout, expired gas samples were collected in a meteorological balloon and analyzed to calculate VO2 and the EOTS between walking and running. Data analyses revealed that mean EOTS was significantly higher than mean PTS within each age group. Furthermore, when subjects changed gaits, the aerobic demand needed to run at the PTS was not lower than the VO2 measured while walking at the PTS. A moderately strong positive coefficient (r = 0.71) between leg length and PTS was also observed. Taken together, these data suggest factors other than govern the walk-run transition in adolescent boys and girls.

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Year:  2002        PMID: 12436278     DOI: 10.1007/s00421-002-0698-x

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  12 in total

1.  Gait transition cost in humans.

Authors:  James R Usherwood; John E A Bertram
Journal:  Eur J Appl Physiol       Date:  2003-10-17       Impact factor: 3.078

2.  Walking and running on the circular treadmill: transition speed and podokinetic aftereffects.

Authors:  Gammon M Earhart
Journal:  J Mot Behav       Date:  2006-09       Impact factor: 1.328

3.  Walk-run transition in young and older adults: with special reference to the cardio-respiratory responses.

Authors:  P T V Farinatti; W D Monteiro
Journal:  Eur J Appl Physiol       Date:  2010-02-03       Impact factor: 3.078

4.  Inter-stride variability triggers gait transitions in mammals and birds.

Authors:  Michael C Granatosky; Caleb M Bryce; Jandy Hanna; Aidan Fitzsimons; Myra F Laird; Kelsey Stilson; Christine E Wall; Callum F Ross
Journal:  Proc Biol Sci       Date:  2018-12-19       Impact factor: 5.349

5.  Variability of cardio-respiratory, electromyographic, and perceived exertion responses at the walk-run transition in a sample of young men controlled for anthropometric and fitness characteristics.

Authors:  Walace D Monteiro; Paulo T V Farinatti; Carlos G de Oliveira; Claudio Gil S Araújo
Journal:  Eur J Appl Physiol       Date:  2010-11-18       Impact factor: 3.078

6.  Walking, running, and resting under time, distance, and average speed constraints: optimality of walk-run-rest mixtures.

Authors:  Leroy L Long; Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2013-01-30       Impact factor: 4.118

7.  Using Cadence to Predict the Walk-to-Run Transition in Children and Adolescents: A Logistic Regression Approach.

Authors:  Scott W Ducharme; Dusty S Turner; James D Pleuss; Christopher C Moore; John M Schuna; Catrine Tudor-Locke; Elroy J Aguiar
Journal:  J Sports Sci       Date:  2020-12-30       Impact factor: 3.337

8.  Muscle activities during walking and running at energetically optimal transition speed under normobaric hypoxia on gradient slopes.

Authors:  Daijiro Abe; Yoshiyuki Fukuoka; Masahiro Horiuchi
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

9.  Quadrupedal locomotor simulation: producing more realistic gaits using dual-objective optimization.

Authors:  William Irvin Sellers; Eishi Hirasaki
Journal:  R Soc Open Sci       Date:  2018-03-07       Impact factor: 2.963

10.  Economical Speed and Energetically Optimal Transition Speed Evaluated by Gross and Net Oxygen Cost of Transport at Different Gradients.

Authors:  Daijiro Abe; Yoshiyuki Fukuoka; Masahiro Horiuchi
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

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