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Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents

BACKGROUND: Borg developed scales for rating pain and perceived exertion in adults that have also been used in pediatric populations. Models describing functional relationships between perceived exertion and work capacity have not been studied in children. We compared different models and their fits...

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Autores principales: Huebner, Marianne, Zhang, Zhen, Therneau, Terry, McGrath, Patrick, Pianosi, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910225/
https://www.ncbi.nlm.nih.gov/pubmed/24405507
http://dx.doi.org/10.1186/1471-2288-14-4
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author Huebner, Marianne
Zhang, Zhen
Therneau, Terry
McGrath, Patrick
Pianosi, Paolo
author_facet Huebner, Marianne
Zhang, Zhen
Therneau, Terry
McGrath, Patrick
Pianosi, Paolo
author_sort Huebner, Marianne
collection PubMed
description BACKGROUND: Borg developed scales for rating pain and perceived exertion in adults that have also been used in pediatric populations. Models describing functional relationships between perceived exertion and work capacity have not been studied in children. We compared different models and their fits to individual trajectories and assessed the variability in these trajectories. METHODS: Ratings of perceived exertion (RPE) were collected from 79 children. Progressive cycle ergonometric testing was performed to maximal work capacity with test duration ranging from 6‐ 12 minutes. Ratings were obtained during each 1‐minute increment. Work was normalized to individual maximal work capacity (Wmax). A delay was defined as the fraction of Wmax at which point an increase in ratings of leg fatigue occurred. Such a delay term allows the characterization of trajectories for children whose ratings were initially constant with increasing work. Two models were considered, a delay model and a power model that is commonly used to analyze Borg ratings. Individual model fit was assessed with root mean squared error (RMSE). Functional clustering algorithms were used to identify patterns. RESULTS: Leg tiredness developed quickly for some children while for others there was a delay before an in‐ creased ratings of leg exertion occurred with increasing work. Models for individual trajectories with the smallest RMSE included a delay and a quadratic term (quadratic‐delay model), or a power function and a delay term (power‐delay model) compared to a simple power function. The median delay was 40% Wmax (interquartile range (IQR): 26‐49%) in a quadratic‐delay model, while the median exponent was 1.03 (IQR: 0.83‐1.78) in a power‐delay model. Nine clusters were identified showing linear or quadratic patterns with or without a delay. Cluster membership did not depend on age, gender or diagnosis. CONCLUSION: Children and adolescents vary widely in their capacity to rate their perceptions and exhibit different functional relationships between ratings of perceived exertion and work capacity normalized across individuals. Models including a delay term, a linear component, or a power function can describe these individual trajectories of perceived leg exertion during incremental exercise to voluntary exhaustion.
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spelling pubmed-39102252014-02-14 Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents Huebner, Marianne Zhang, Zhen Therneau, Terry McGrath, Patrick Pianosi, Paolo BMC Med Res Methodol Research Article BACKGROUND: Borg developed scales for rating pain and perceived exertion in adults that have also been used in pediatric populations. Models describing functional relationships between perceived exertion and work capacity have not been studied in children. We compared different models and their fits to individual trajectories and assessed the variability in these trajectories. METHODS: Ratings of perceived exertion (RPE) were collected from 79 children. Progressive cycle ergonometric testing was performed to maximal work capacity with test duration ranging from 6‐ 12 minutes. Ratings were obtained during each 1‐minute increment. Work was normalized to individual maximal work capacity (Wmax). A delay was defined as the fraction of Wmax at which point an increase in ratings of leg fatigue occurred. Such a delay term allows the characterization of trajectories for children whose ratings were initially constant with increasing work. Two models were considered, a delay model and a power model that is commonly used to analyze Borg ratings. Individual model fit was assessed with root mean squared error (RMSE). Functional clustering algorithms were used to identify patterns. RESULTS: Leg tiredness developed quickly for some children while for others there was a delay before an in‐ creased ratings of leg exertion occurred with increasing work. Models for individual trajectories with the smallest RMSE included a delay and a quadratic term (quadratic‐delay model), or a power function and a delay term (power‐delay model) compared to a simple power function. The median delay was 40% Wmax (interquartile range (IQR): 26‐49%) in a quadratic‐delay model, while the median exponent was 1.03 (IQR: 0.83‐1.78) in a power‐delay model. Nine clusters were identified showing linear or quadratic patterns with or without a delay. Cluster membership did not depend on age, gender or diagnosis. CONCLUSION: Children and adolescents vary widely in their capacity to rate their perceptions and exhibit different functional relationships between ratings of perceived exertion and work capacity normalized across individuals. Models including a delay term, a linear component, or a power function can describe these individual trajectories of perceived leg exertion during incremental exercise to voluntary exhaustion. BioMed Central 2014-01-09 /pmc/articles/PMC3910225/ /pubmed/24405507 http://dx.doi.org/10.1186/1471-2288-14-4 Text en Copyright © 2014 Huebner et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Huebner, Marianne
Zhang, Zhen
Therneau, Terry
McGrath, Patrick
Pianosi, Paolo
Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents
title Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents
title_full Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents
title_fullStr Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents
title_full_unstemmed Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents
title_short Modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents
title_sort modeling trajectories of perceived leg exertion during maximal cycle ergometer exercise in children and adolescents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910225/
https://www.ncbi.nlm.nih.gov/pubmed/24405507
http://dx.doi.org/10.1186/1471-2288-14-4
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