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High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas

Childhood obesity is a relatively new problem for Sub-Saharan developing countries. Especially in children with a low socioeconomic background, the link between motor competence, muscular fitness, and body mass index (BMI) remains poorly investigated. Due to the interrelatedness of BMI and physical...

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Autores principales: Verbecque, Evi, Coetzee, Dané, Ferguson, Gillian, Smits-Engelsman, Bouwien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345384/
https://www.ncbi.nlm.nih.gov/pubmed/34360171
http://dx.doi.org/10.3390/ijerph18157878
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author Verbecque, Evi
Coetzee, Dané
Ferguson, Gillian
Smits-Engelsman, Bouwien
author_facet Verbecque, Evi
Coetzee, Dané
Ferguson, Gillian
Smits-Engelsman, Bouwien
author_sort Verbecque, Evi
collection PubMed
description Childhood obesity is a relatively new problem for Sub-Saharan developing countries. Especially in children with a low socioeconomic background, the link between motor competence, muscular fitness, and body mass index (BMI) remains poorly investigated. Due to the interrelatedness of BMI and physical fitness, the aim of this study is to determine the predictive value of these factors in relation to low motor competence in school-aged children living in low-resourced areas. Motor competence and physical fitness were assessed in 1037 school-aged Ghanaian and South African children using the Performance and Fitness test battery (PERF-FIT). “Low motor competence” was predicted using odds ratios calculated from backward logistic regression analyses. Low motor competence was less prevalent in Ghanaian children (3.7–11.1%) compared to the South African children (21.9–24.2%). Increased BMI and decreased muscular fitness predicted low motor competence in both Ghanaian and South African children. For example, the chance for a Ghanaian child to have low static balance increased by 22.8% (OR = 1.228, p < 0.001) with a 1-point increase in BMI, whereas this decreased by 30.0% (OR = 0.970, p < 0.001) with a 10-cm increase on the standing long jump. In the case of the South African children, if their BMI increased by 1 point, the chance for those children of having low static balance increased by 7.9%, and if their SLJ performance decreased by 10 cm, their chance of low performance increased by 13%. Clearly, motor competence is associated with both BMI and muscular fitness. Policy makers can use this information to counteract the establishment of childhood obesity by promoting weight control through physical activity and stimulating motor competence at school.
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spelling pubmed-83453842021-08-07 High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas Verbecque, Evi Coetzee, Dané Ferguson, Gillian Smits-Engelsman, Bouwien Int J Environ Res Public Health Article Childhood obesity is a relatively new problem for Sub-Saharan developing countries. Especially in children with a low socioeconomic background, the link between motor competence, muscular fitness, and body mass index (BMI) remains poorly investigated. Due to the interrelatedness of BMI and physical fitness, the aim of this study is to determine the predictive value of these factors in relation to low motor competence in school-aged children living in low-resourced areas. Motor competence and physical fitness were assessed in 1037 school-aged Ghanaian and South African children using the Performance and Fitness test battery (PERF-FIT). “Low motor competence” was predicted using odds ratios calculated from backward logistic regression analyses. Low motor competence was less prevalent in Ghanaian children (3.7–11.1%) compared to the South African children (21.9–24.2%). Increased BMI and decreased muscular fitness predicted low motor competence in both Ghanaian and South African children. For example, the chance for a Ghanaian child to have low static balance increased by 22.8% (OR = 1.228, p < 0.001) with a 1-point increase in BMI, whereas this decreased by 30.0% (OR = 0.970, p < 0.001) with a 10-cm increase on the standing long jump. In the case of the South African children, if their BMI increased by 1 point, the chance for those children of having low static balance increased by 7.9%, and if their SLJ performance decreased by 10 cm, their chance of low performance increased by 13%. Clearly, motor competence is associated with both BMI and muscular fitness. Policy makers can use this information to counteract the establishment of childhood obesity by promoting weight control through physical activity and stimulating motor competence at school. MDPI 2021-07-25 /pmc/articles/PMC8345384/ /pubmed/34360171 http://dx.doi.org/10.3390/ijerph18157878 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Verbecque, Evi
Coetzee, Dané
Ferguson, Gillian
Smits-Engelsman, Bouwien
High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas
title High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas
title_full High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas
title_fullStr High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas
title_full_unstemmed High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas
title_short High BMI and Low Muscular Fitness Predict Low Motor Competence in School-Aged Children Living in Low-Resourced Areas
title_sort high bmi and low muscular fitness predict low motor competence in school-aged children living in low-resourced areas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345384/
https://www.ncbi.nlm.nih.gov/pubmed/34360171
http://dx.doi.org/10.3390/ijerph18157878
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