Literature DB >> 34131258

Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in children.

Eero A Haapala1,2, Ying Gao3,4, Jani Hartikainen3, Timo Rantalainen3, Taija Finni3.   

Abstract

We investigated the associations of peak oxygen uptake (V̇O2peak), ventilatory threshold (VT), muscle strength, motor competence (MC), and adiposity with the indicators of PA intensity during different physical activities used to create absolute PA intensity cut-offs among 35 children 7-11-years-of-age. V̇O2peak was defined as the highest V̇O2 achieved in the maximal cardiopulmonary exercise test (CPET) on a cycle ergometer, self-paced running, or running on a treadmill at 8 km/h. VT was defined from the CPET data. Peak isometric knee extensor and flexor strength was assessed by a dynamometer, MC by the Körperkoordination test für Kinder tests, and body composition by the bioelectrical impedance analysis. PA intensity was assessed using V̇O2 as a % of V̇O2reserve or V̇O2 at VT, mean amplitude deviation (MAD) measured by accelerometry, metabolic equivalent of task (MET), and muscle activity measured by textile electromyography during walking or running on a treadmill at 4, 6, and 8 km/h, playing hopscotch, walking up and down the stairs, self-paced walking, and self-paced running. Children with lower V̇O2peak, V̇O2 at VT, and MC operated at higher intensity level during given physical task than their peers with higher fitness and MC when PA intensity was expressed using relative PA intensity using V̇O2 as a % of V̇O2reserve or V̇O2 at VT (p < 0.05). MAD and METs during different tasks were not able to discriminate PA intensity between children with varying levels of physical fitness or MC. Traditionally used absolute measures of PA intensity based on accelerometry or MET underestimated PA intensity in children with lower V̇O2peak, V̇O2 at VT, and MC.

Entities:  

Year:  2021        PMID: 34131258     DOI: 10.1038/s41598-021-92040-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  33 in total

1.  Calibration of two objective measures of physical activity for children.

Authors:  Kelly R Evenson; Diane J Catellier; Karminder Gill; Kristin S Ondrak; Robert G McMurray
Journal:  J Sports Sci       Date:  2008-12       Impact factor: 3.337

2.  Dynapenia: it's not just for grown-ups anymore.

Authors:  Avery D Faigenbaum; James P MacDonald
Journal:  Acta Paediatr       Date:  2017-03-19       Impact factor: 2.299

3.  Pediatric Inactivity Triad: A Risky PIT.

Authors:  Avery D Faigenbaum; Tamara Rial Rebullido; James P MacDonald
Journal:  Curr Sports Med Rep       Date:  2018-02       Impact factor: 1.733

4.  Comparability of published cut-points for the assessment of physical activity: Implications for data harmonization.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Catrine Tudor-Locke; Marie Löf; Irene Esteban-Cornejo; Pablo Molina-Garcia; Jose Mora-Gonzalez; Maria Rodriguez-Ayllon; Eduardo Garcia-Marmol; Ulf Ekelund; Francisco B Ortega
Journal:  Scand J Med Sci Sports       Date:  2019-01-08       Impact factor: 4.221

5.  Behavioral Correlates of Muscular Fitness in Children and Adolescents: A Systematic Review.

Authors:  Jordan J Smith; Narelle Eather; R Glenn Weaver; Nicholas Riley; Michael W Beets; David R Lubans
Journal:  Sports Med       Date:  2019-06       Impact factor: 11.136

Review 6.  What proportion of youth are physically active? Measurement issues, levels and recent time trends.

Authors:  Ulf Ekelund; Grant Tomkinson; Neil Armstrong
Journal:  Br J Sports Med       Date:  2011-09       Impact factor: 13.800

7.  Cross-Sectional Associations of Objectively-Measured Physical Activity and Sedentary Time with Body Composition and Cardiorespiratory Fitness in Mid-Childhood: The PANIC Study.

Authors:  Paul J Collings; Kate Westgate; Juuso Väistö; Katrien Wijndaele; Andrew J Atkin; Eero A Haapala; Niina Lintu; Tomi Laitinen; Ulf Ekelund; Soren Brage; Timo A Lakka
Journal:  Sports Med       Date:  2017-04       Impact factor: 11.136

8.  Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants.

Authors:  Regina Guthold; Gretchen A Stevens; Leanne M Riley; Fiona C Bull
Journal:  Lancet Child Adolesc Health       Date:  2019-11-21

9.  Muscle activity and inactivity periods during normal daily life.

Authors:  Olli Tikkanen; Piia Haakana; Arto J Pesola; Keijo Häkkinen; Timo Rantalainen; Marko Havu; Teemu Pullinen; Taija Finni
Journal:  PLoS One       Date:  2013-01-18       Impact factor: 3.240

10.  Do Running and Strength Exercises Reduce Daily Muscle Inactivity Time?

Authors:  Taija Finni; Marja Uusi-Vähälä; Arto J Pesola; Ritva S Taipale
Journal:  AIMS Public Health       Date:  2016-09-06
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