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Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor
To address a variety of questions pertaining to the interactions between physical activity, musculoskeletal loading and musculoskeletal health/injury/adaptation, simple methods are needed to quantify, outside a laboratory setting, the forces acting on the human body during daily activities. The purp...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485031/ https://www.ncbi.nlm.nih.gov/pubmed/23133564 http://dx.doi.org/10.1371/journal.pone.0048182 |
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author | Neugebauer, Jennifer M. Hawkins, David A. Beckett, Laurel |
author_facet | Neugebauer, Jennifer M. Hawkins, David A. Beckett, Laurel |
author_sort | Neugebauer, Jennifer M. |
collection | PubMed |
description | To address a variety of questions pertaining to the interactions between physical activity, musculoskeletal loading and musculoskeletal health/injury/adaptation, simple methods are needed to quantify, outside a laboratory setting, the forces acting on the human body during daily activities. The purpose of this study was to develop a statistically based model to estimate peak vertical ground reaction force (pVGRF) during youth gait. 20 girls (10.9±0.9 years) and 15 boys (12.5±0.6 years) wore a Biotrainer AM over their right hip. Six walking and six running trials were completed after a standard warm-up. Average AM intensity (g) and pVGRF (N) during stance were determined. Repeated measures mixed effects regression models to estimate pVGRF from Biotrainer activity monitor acceleration in youth (girls 10–12, boys 12–14 years) while walking and running were developed. Log transformed pVGRF had a statistically significant relationship with activity monitor acceleration, centered mass, sex (girl), type of locomotion (run), and locomotion type-acceleration interaction controlling for subject as a random effect. A generalized regression model without subject specific random effects was also developed. The average absolute differences between the actual and predicted pVGRF were 5.2% (1.6% standard deviation) and 9% (4.2% standard deviation) using the mixed and generalized models, respectively. The results of this study support the use of estimating pVGRF from hip acceleration using a mixed model regression equation. |
format | Online Article Text |
id | pubmed-3485031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34850312012-11-06 Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor Neugebauer, Jennifer M. Hawkins, David A. Beckett, Laurel PLoS One Research Article To address a variety of questions pertaining to the interactions between physical activity, musculoskeletal loading and musculoskeletal health/injury/adaptation, simple methods are needed to quantify, outside a laboratory setting, the forces acting on the human body during daily activities. The purpose of this study was to develop a statistically based model to estimate peak vertical ground reaction force (pVGRF) during youth gait. 20 girls (10.9±0.9 years) and 15 boys (12.5±0.6 years) wore a Biotrainer AM over their right hip. Six walking and six running trials were completed after a standard warm-up. Average AM intensity (g) and pVGRF (N) during stance were determined. Repeated measures mixed effects regression models to estimate pVGRF from Biotrainer activity monitor acceleration in youth (girls 10–12, boys 12–14 years) while walking and running were developed. Log transformed pVGRF had a statistically significant relationship with activity monitor acceleration, centered mass, sex (girl), type of locomotion (run), and locomotion type-acceleration interaction controlling for subject as a random effect. A generalized regression model without subject specific random effects was also developed. The average absolute differences between the actual and predicted pVGRF were 5.2% (1.6% standard deviation) and 9% (4.2% standard deviation) using the mixed and generalized models, respectively. The results of this study support the use of estimating pVGRF from hip acceleration using a mixed model regression equation. Public Library of Science 2012-10-25 /pmc/articles/PMC3485031/ /pubmed/23133564 http://dx.doi.org/10.1371/journal.pone.0048182 Text en © 2012 Neugebauer et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Neugebauer, Jennifer M. Hawkins, David A. Beckett, Laurel Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor |
title | Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor |
title_full | Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor |
title_fullStr | Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor |
title_full_unstemmed | Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor |
title_short | Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor |
title_sort | estimating youth locomotion ground reaction forces using an accelerometer-based activity monitor |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485031/ https://www.ncbi.nlm.nih.gov/pubmed/23133564 http://dx.doi.org/10.1371/journal.pone.0048182 |
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