Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study
To help inform strategies aimed at increasing muscular fitness levels, we examined factors associated with childhood muscular fitness (strength and power) that preceded the recently observed secular decline. Data were available from a nationally representative sample of Australian children aged 7–15...
| Main Authors: | , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Taylor and Francis
2019
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| _version_ | 1797077274227376128 |
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| author | Fraser, BJ Blizzard, L Cleland, V Schmidt, MD Smith, KJ Gall, SL Dwyer, T Venn, AJ Magnussen, CG |
| author_facet | Fraser, BJ Blizzard, L Cleland, V Schmidt, MD Smith, KJ Gall, SL Dwyer, T Venn, AJ Magnussen, CG |
| author_sort | Fraser, BJ |
| collection | OXFORD |
| description | To help inform strategies aimed at increasing muscular fitness levels, we examined factors associated with childhood muscular fitness (strength and power) that preceded the recently observed secular decline. Data were available from a nationally representative sample of Australian children aged 7–15 years in 1985 (n = 8469). Muscular fitness measures included strength (right and left grip, shoulder extension and flexion, and leg strength) and power (standing long jump distance). Anthropometric (adiposity, fat-free mass), cardiorespiratory fitness (CRF), flexibility, speed capability, physical activity (individual and parental), dietary quality and intake (fruit, vegetable, protein) and sociodemographic (area-level socioeconomic status (SES), school type) data were available. Statistical analyses included sex-stratified linear regression. Of all examined factors, measures of adiposity, fat-free mass, CRF, flexibility and speed capability were associated with muscular fitness at levels that met Cohen’s threshold for important effects (r-squared = 0.02 to 0.28). These findings highlight the multifactorial relationship between muscular fitness and its determinants. Collectively, these factors were powerful in explaining muscular strength (females: r-squared = 0.32; males: r-squared = 0.41) and muscular power (females: r-squared = 0.36; males: r-squared = 0.42). These findings highlight modifiable and environmental factors that could be targeted to increase childhood muscular fitness. |
| first_indexed | 2024-03-07T00:15:35Z |
| format | Journal article |
| id | oxford-uuid:7abcaf30-9988-4001-ba5c-7ca3e22e28e9 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:15:35Z |
| publishDate | 2019 |
| publisher | Taylor and Francis |
| record_format | dspace |
| spelling | oxford-uuid:7abcaf30-9988-4001-ba5c-7ca3e22e28e92022-03-26T20:45:57ZFactors associated with muscular fitness phenotypes in Australian children: A cross-sectional studyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7abcaf30-9988-4001-ba5c-7ca3e22e28e9EnglishSymplectic Elements at OxfordTaylor and Francis2019Fraser, BJBlizzard, LCleland, VSchmidt, MDSmith, KJGall, SLDwyer, TVenn, AJMagnussen, CGTo help inform strategies aimed at increasing muscular fitness levels, we examined factors associated with childhood muscular fitness (strength and power) that preceded the recently observed secular decline. Data were available from a nationally representative sample of Australian children aged 7–15 years in 1985 (n = 8469). Muscular fitness measures included strength (right and left grip, shoulder extension and flexion, and leg strength) and power (standing long jump distance). Anthropometric (adiposity, fat-free mass), cardiorespiratory fitness (CRF), flexibility, speed capability, physical activity (individual and parental), dietary quality and intake (fruit, vegetable, protein) and sociodemographic (area-level socioeconomic status (SES), school type) data were available. Statistical analyses included sex-stratified linear regression. Of all examined factors, measures of adiposity, fat-free mass, CRF, flexibility and speed capability were associated with muscular fitness at levels that met Cohen’s threshold for important effects (r-squared = 0.02 to 0.28). These findings highlight the multifactorial relationship between muscular fitness and its determinants. Collectively, these factors were powerful in explaining muscular strength (females: r-squared = 0.32; males: r-squared = 0.41) and muscular power (females: r-squared = 0.36; males: r-squared = 0.42). These findings highlight modifiable and environmental factors that could be targeted to increase childhood muscular fitness. |
| spellingShingle | Fraser, BJ Blizzard, L Cleland, V Schmidt, MD Smith, KJ Gall, SL Dwyer, T Venn, AJ Magnussen, CG Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study |
| title | Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study |
| title_full | Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study |
| title_fullStr | Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study |
| title_full_unstemmed | Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study |
| title_short | Factors associated with muscular fitness phenotypes in Australian children: A cross-sectional study |
| title_sort | factors associated with muscular fitness phenotypes in australian children a cross sectional study |
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