Using Cadence to Predict the Walk-to-Run Transition in Children and Adolescents: A Logistic Regression Approach.
J Sports Sci
; 39(9): 1039-1045, 2021 May.
Article
en En
| MEDLINE
| ID: mdl-33375895
The natural transition from walking to running occurs in adults at â
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.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Carrera
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Modelos Logísticos
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Caminata
Tipo de estudio:
Prognostic_studies
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Risk_factors_studies
Límite:
Adolescent
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Adult
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Child
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Female
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Humans
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Male
Idioma:
En
Revista:
J Sports Sci
Año:
2021
Tipo del documento:
Article
País de afiliación:
Estados Unidos