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Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach
We investigated the development of gross motor coordination (GMC) as well as its predictors in school-aged Azorean children. The sample included 181 children (90 girls), followed consecutively for 4 years from 6 to 9 years of age. GMC was assessed with the Körperkoordinationstest für Kinder, and pre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100077/ https://www.ncbi.nlm.nih.gov/pubmed/35564812 http://dx.doi.org/10.3390/ijerph19095417 |
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author | Pereira, Sara Bastos, Flávio Santos, Carla Maia, José Tani, Go Robinson, Leah E. Katzmarzyk, Peter T. |
author_facet | Pereira, Sara Bastos, Flávio Santos, Carla Maia, José Tani, Go Robinson, Leah E. Katzmarzyk, Peter T. |
author_sort | Pereira, Sara |
collection | PubMed |
description | We investigated the development of gross motor coordination (GMC) as well as its predictors in school-aged Azorean children. The sample included 181 children (90 girls), followed consecutively for 4 years from 6 to 9 years of age. GMC was assessed with the Körperkoordinationstest für Kinder, and predictors included body mass index, standing long jump, 50-yard dash, and shuttle run. The changes in GMC and the effects of predictors were analyzed with mean-modeling as well as quantile regression. In the latter, we considered the following three quantiles (Q): Q20, Q50, and Q80 as markers of low, median, and high GMC levels, respectively. All analyses were conducted using R software and alpha was set at 5%. The GMC changes were curvilinear in both models, but the quantile approach showed a more encompassing picture of the changes across the three quantiles in both boys and girls with different rates of change. Further, the predictors had different effect sizes across the quantiles in both sexes, but in the mean-model their effects were constant. In conclusion, quantile regression provides more detailed information and permits a more thorough understanding of changes in GMC over time and the influence of putative predictors. |
format | Online Article Text |
id | pubmed-9100077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91000772022-05-14 Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach Pereira, Sara Bastos, Flávio Santos, Carla Maia, José Tani, Go Robinson, Leah E. Katzmarzyk, Peter T. Int J Environ Res Public Health Article We investigated the development of gross motor coordination (GMC) as well as its predictors in school-aged Azorean children. The sample included 181 children (90 girls), followed consecutively for 4 years from 6 to 9 years of age. GMC was assessed with the Körperkoordinationstest für Kinder, and predictors included body mass index, standing long jump, 50-yard dash, and shuttle run. The changes in GMC and the effects of predictors were analyzed with mean-modeling as well as quantile regression. In the latter, we considered the following three quantiles (Q): Q20, Q50, and Q80 as markers of low, median, and high GMC levels, respectively. All analyses were conducted using R software and alpha was set at 5%. The GMC changes were curvilinear in both models, but the quantile approach showed a more encompassing picture of the changes across the three quantiles in both boys and girls with different rates of change. Further, the predictors had different effect sizes across the quantiles in both sexes, but in the mean-model their effects were constant. In conclusion, quantile regression provides more detailed information and permits a more thorough understanding of changes in GMC over time and the influence of putative predictors. MDPI 2022-04-29 /pmc/articles/PMC9100077/ /pubmed/35564812 http://dx.doi.org/10.3390/ijerph19095417 Text en © 2022 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 Pereira, Sara Bastos, Flávio Santos, Carla Maia, José Tani, Go Robinson, Leah E. Katzmarzyk, Peter T. Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach |
title | Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach |
title_full | Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach |
title_fullStr | Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach |
title_full_unstemmed | Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach |
title_short | Variation and Predictors of Gross Motor Coordination Development in Azorean Children: A Quantile Regression Approach |
title_sort | variation and predictors of gross motor coordination development in azorean children: a quantile regression approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100077/ https://www.ncbi.nlm.nih.gov/pubmed/35564812 http://dx.doi.org/10.3390/ijerph19095417 |
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