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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Children |
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| Online Access: | https://www.mdpi.com/2227-9067/8/6/460 |
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| author | Chih-Yu Hsu Liang-Sien Chen I-Jen Chang Wei-Ching Fang Sun-Weng Huang Rong-Ho Lin Steve Wen-Neng Ueng Hai-Hua Chuang |
| author_facet | Chih-Yu Hsu Liang-Sien Chen I-Jen Chang Wei-Ching Fang Sun-Weng Huang Rong-Ho Lin Steve Wen-Neng Ueng Hai-Hua Chuang |
| author_sort | Chih-Yu Hsu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T10:51:10Z |
| format | Article |
| id | doaj.art-dd85aeb9b07744db876465aa79dc076a |
| institution | Directory Open Access Journal |
| issn | 2227-9067 |
| language | English |
| last_indexed | 2024-03-10T10:51:10Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Children |
| spelling | doaj.art-dd85aeb9b07744db876465aa79dc076a2023-11-21T22:12:58ZengMDPI AGChildren2227-90672021-05-018646010.3390/children8060460Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children?Chih-Yu Hsu0Liang-Sien Chen1I-Jen Chang2Wei-Ching Fang3Sun-Weng Huang4Rong-Ho Lin5Steve Wen-Neng Ueng6Hai-Hua Chuang7Department of Family Medicine, Linkou and Taipei Branches, Chang Gung Memorial Hospital, Taoyuan 33305, TaiwanDepartment of Family Medicine, Linkou and Taipei Branches, Chang Gung Memorial Hospital, Taoyuan 33305, TaiwanDepartment of Family Medicine, Linkou and Taipei Branches, Chang Gung Memorial Hospital, Taoyuan 33305, TaiwanDepartment of Family Medicine, Linkou and Taipei Branches, Chang Gung Memorial Hospital, Taoyuan 33305, TaiwanDepartment of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanCollege of Medicine, Chang Gung University, Taoyuan 33302, TaiwanDepartment of Family Medicine, Linkou and Taipei Branches, Chang Gung Memorial Hospital, Taoyuan 33305, TaiwanPhysical 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.https://www.mdpi.com/2227-9067/8/6/460anthropometrybody compositionchildrenepidemiographyphysical fitness |
| spellingShingle | Chih-Yu Hsu Liang-Sien Chen I-Jen Chang Wei-Ching Fang Sun-Weng Huang Rong-Ho Lin Steve Wen-Neng Ueng Hai-Hua Chuang Can Anthropometry and Body Composition Explain Physical Fitness Levels in School-Aged Children? Children anthropometry body composition children epidemiography physical fitness |
| 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 | anthropometry body composition children epidemiography physical fitness |
| url | https://www.mdpi.com/2227-9067/8/6/460 |
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