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Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?

Physical fitness (PF) is closely related to various health outcomes and quality of life among children. However, the associations between anthropometry, body composition (BC), and PF are not fully elucidated. This cross-sectional study aimed to investigate the associations between demographic metric...

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Autores principales: Hsu, Chih-Yu, Chen, Liang-Sien, Chang, I-Jen, Fang, Wei-Ching, Huang, Sun-Weng, Lin, Rong-Ho, Ueng, Steve Wen-Neng, Chuang, Hai-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229107/
https://www.ncbi.nlm.nih.gov/pubmed/34072785
http://dx.doi.org/10.3390/children8060460
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author Hsu, Chih-Yu
Chen, Liang-Sien
Chang, I-Jen
Fang, Wei-Ching
Huang, Sun-Weng
Lin, Rong-Ho
Ueng, Steve Wen-Neng
Chuang, Hai-Hua
author_facet Hsu, Chih-Yu
Chen, Liang-Sien
Chang, I-Jen
Fang, Wei-Ching
Huang, Sun-Weng
Lin, Rong-Ho
Ueng, Steve Wen-Neng
Chuang, Hai-Hua
author_sort Hsu, Chih-Yu
collection PubMed
description Physical fitness (PF) is closely related to various health outcomes and quality of life among children. However, the associations between anthropometry, body composition (BC), and PF are not fully elucidated. This cross-sectional study aimed to investigate the associations between demographic metrics (age, sex), anthropometric measures (body mass index z-score (BMI z-score) waist/height ratio (WHtR)), BC parameters (body-fat percentage (BF%), muscle weight), and PF levels (800-m run, sit-and-reach, 1-min sit-ups, standing long jump) in school-aged children. Continuous variables were dichotomized by median splits. The results of 180 girls and 180 boys (mean age: 10.0 ± 0.7 years; mean BMI z-score: 0.366 ± 1.216) were analyzed. Multivariable linear regressions revealed that BF% (regression coefficient (B) = 3.4, 95% confidence interval (CI) = 2.5–4.3) was independently correlated with the 800-m run. Sex (B = 4.6, 95% CI = 3.0–6.3), age (B = 3.1, 95% CI = 1.9–4.3), and BMI z-score (B = −0.7, 95% CI = −1.4–−0.1) were independently related to sit-and-reach. Age (B = 3.3, 95% CI = 2.0–4.7), BF% (B = −0.3, 95% CI = −0.4–−0.2), and muscle weight (B = 0.7, 95% CI = 0.2–1.2) were independently associated with 1-min sit-ups. In addition to demography, anthropometry and BC provided additional information concerning some PF levels in school-aged children. Weight management and PF promotion should be addressed simultaneously in terms of preventive medicine and health promotion for children.
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spelling pubmed-82291072021-06-26 Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children? Hsu, Chih-Yu Chen, Liang-Sien Chang, I-Jen Fang, Wei-Ching Huang, Sun-Weng Lin, Rong-Ho Ueng, Steve Wen-Neng Chuang, Hai-Hua Children (Basel) Article Physical fitness (PF) is closely related to various health outcomes and quality of life among children. However, the associations between anthropometry, body composition (BC), and PF are not fully elucidated. This cross-sectional study aimed to investigate the associations between demographic metrics (age, sex), anthropometric measures (body mass index z-score (BMI z-score) waist/height ratio (WHtR)), BC parameters (body-fat percentage (BF%), muscle weight), and PF levels (800-m run, sit-and-reach, 1-min sit-ups, standing long jump) in school-aged children. Continuous variables were dichotomized by median splits. The results of 180 girls and 180 boys (mean age: 10.0 ± 0.7 years; mean BMI z-score: 0.366 ± 1.216) were analyzed. Multivariable linear regressions revealed that BF% (regression coefficient (B) = 3.4, 95% confidence interval (CI) = 2.5–4.3) was independently correlated with the 800-m run. Sex (B = 4.6, 95% CI = 3.0–6.3), age (B = 3.1, 95% CI = 1.9–4.3), and BMI z-score (B = −0.7, 95% CI = −1.4–−0.1) were independently related to sit-and-reach. Age (B = 3.3, 95% CI = 2.0–4.7), BF% (B = −0.3, 95% CI = −0.4–−0.2), and muscle weight (B = 0.7, 95% CI = 0.2–1.2) were independently associated with 1-min sit-ups. In addition to demography, anthropometry and BC provided additional information concerning some PF levels in school-aged children. Weight management and PF promotion should be addressed simultaneously in terms of preventive medicine and health promotion for children. MDPI 2021-05-31 /pmc/articles/PMC8229107/ /pubmed/34072785 http://dx.doi.org/10.3390/children8060460 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
Hsu, Chih-Yu
Chen, Liang-Sien
Chang, I-Jen
Fang, Wei-Ching
Huang, Sun-Weng
Lin, Rong-Ho
Ueng, Steve Wen-Neng
Chuang, Hai-Hua
Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?
title Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?
title_full Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?
title_fullStr Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?
title_full_unstemmed Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?
title_short Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?
title_sort can anthropometry and body composition explain physical fitness levels in school-aged children?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8229107/
https://www.ncbi.nlm.nih.gov/pubmed/34072785
http://dx.doi.org/10.3390/children8060460
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