UA cloudflare authentication

 

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

Simple item page
dc.contributor.authorDucharme, Scott W.
dc.contributor.authorTurner, Dusty S.
dc.contributor.authorPleuss, James D.
dc.contributor.authorMoore, Christopher C.
dc.contributor.authorSchuna, John M.
dc.contributor.authorTudor-Locke, Catrine
dc.contributor.authorAguiar, Elroy J.
dc.contributor.otherCalifornia State University Long Beach
dc.contributor.otherUnited States Military Academy
dc.contributor.otherUnited States Department of Defense
dc.contributor.otherUnited States Army
dc.contributor.otherUniversity of North Carolina
dc.contributor.otherUniversity of North Carolina Chapel Hill
dc.contributor.otherOregon State University
dc.contributor.otherUniversity of North Carolina Charlotte
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:38:05Z
dc.date.available2023-09-28T19:38:05Z
dc.date.issued2021
dc.description.abstractThe natural transition from walking to running occurs in adults at approximately equal to 140 steps/min. It is unknown when this transition occurs in children and adolescents. The purpose of this study was to develop a model to predict age- and anthropometry-specific preferred transition cadences in individuals 6-20 years of age. Sixty-nine individuals performed sequentially faster 5-min treadmill walking bouts, starting at 0.22 m/s and increasing by 0.22 m/s until completion of the bout during which they freely chose to run. Steps accumulated during each bout were directly observed and converted to cadence (steps/min). A logistic regression model was developed to predict preferred transition cadences using the best subset of parameters. The resulting model, which included age, sex, height, and BMI z-score, produced preferred transition cadences that accurately classified gait behaviour (k-fold cross-validated prediction accuracy =97.02%). This transition cadence ranged from 136-161 steps/min across the developmental age range studied. The preferred transition cadence represents a simple and practical index to predict and classify gait behaviour from wearable sensors in children, adolescents, and young adults. Moreover, herein we provide an equation and an open access online R Shiny app that researchers, practitioners, or clinicians can use to predict individual-specific preferred transition cadences.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationDucharme, S. W., Turner, D. S., Pleuss, J. D., Moore, C. C., Schuna, J. M., Tudor-Locke, C., & Aguiar, E. J. (2020). Using Cadence to Predict the Walk-to-Run Transition in Children and Adolescents: A Logistic Regression Approach. In Journal of Sports Sciences (Vol. 39, Issue 9, pp. 1039–1045). Informa UK Limited. https://doi.org/10.1080/02640414.2020.1855869
dc.identifier.doi10.1080/02640414.2020.1855869
dc.identifier.orcidhttps://orcid.org/0000-0001-6027-1732
dc.identifier.orcidhttps://orcid.org/0000-0003-4763-0491
dc.identifier.orcidhttps://orcid.org/0000-0003-2998-8799
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11630
dc.languageEnglish
dc.language.isoen_US
dc.publisherTaylor & Francis
dc.subjectPreferred transition speed
dc.subjectstep frequency
dc.subjectlocomotion
dc.subjectphysical activity
dc.subjectgait
dc.subjectSport Sciences
dc.titleUsing Cadence to Predict the Walk-to-Run Transition in Children and Adolescents: A Logistic Regression Approachen_US
dc.typeArticle
dc.typetext

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
10.108002640414.2020.1855869.pdf
Size:
657.6 KB
Format:
Adobe Portable Document Format
Download

Collections

Research and Publications - Department of Kinesiology