Literature DB >> 25164157

Measures of cardiorespiratory fitness in relation to measures of body size and composition among children.

Tuomo Tompuri1,2, Niina Lintu2, Kai Savonen1,3, Tomi Laitinen1, David Laaksonen4, Jarmo Jääskeläinen5, Timo A Lakka1,2,3.   

Abstract

BACKGROUND: In the exercise testing measures of cardiorespiratory fitness need to be scaled by body size or composition to enable comparison between individuals. Traditionally used weight-proportional measures are potentially confounded by body adiposity that hampers their interpretation and applicability in the clinical assessment of cardiorespiratory fitness.
OBJECTIVE: We aimed to find the most appropriate measure of body size or composition for scaling of measures of cardiorespiratory fitness among children.
METHODS: We assessed body weight and height, maximal workload (W MAX ) and maximal oxygen uptake (VO2 MAX ) using cycle ergometer exercise test with respiratory gas analysis and body lean mass (LM) and fat mass (FM) by dual-energy X-ray absorptiometry and by bioimpedance analysis among 38 children. The data were analysed using Pearson's coefficients for correlation and stepwise linear regression models.
RESULTS: Lean mass (r > 0.54) and height (r > 0.51) had stronger positive correlations with absolute W MAX and VO2 MAX than weight (r > 0.30) in girls and boys. None of the measures of body size or composition correlated with LM-proportional W MAX or VO2 MAX in girls or boys. Only LM correlated positively with height-proportional W MAX (r = 0.65) and VO2 MAX (r = 0.71) in boys. FM correlated negatively with weight-proportional W MAX (r < -0.58) and VO2 MAX (r < -0.64) in girls and boys. FM was even stronger determinant of weight-proportional W MAX (β = -0.68) and VO2 MAX (β = -0.61) than exercise performance in multivariate linear regression models.
CONCLUSIONS: While assessing cardiorespiratory fitness, LM is the most appropriate measure of body size or composition for scaling of W MAX and VO2 MAX, because scaling by body weight introduces confounding by body adiposity.
© 2014 Scandinavian Society of Clinical Physiology and Nuclear Medicine. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  adiposity; ergometer; exercise testing; lean mass; maximal oxygen uptake; maximal workload

Mesh:

Year:  2014        PMID: 25164157     DOI: 10.1111/cpf.12185

Source DB:  PubMed          Journal:  Clin Physiol Funct Imaging        ISSN: 1475-0961            Impact factor:   2.273


  11 in total

1.  Peak oxygen uptake, ventilatory threshold, and arterial stiffness in adolescents.

Authors:  Eero A Haapala; Jari A Laukkanen; Tim Takken; Urho M Kujala; Taija Finni
Journal:  Eur J Appl Physiol       Date:  2018-08-11       Impact factor: 3.078

2.  Quantification of Cardiorespiratory Fitness in Children with Obesity.

Authors:  Dharini M Bhammar; Beverley Adams-Huet; Tony G Babb
Journal:  Med Sci Sports Exerc       Date:  2019-11       Impact factor: 5.411

3.  A new approach to estimate aerobic fitness using the NHANES dataset.

Authors:  Kim D Lu; Ronen Bar-Yoseph; Shlomit Radom-Aizik; Dan M Cooper
Journal:  Scand J Med Sci Sports       Date:  2019-06-03       Impact factor: 4.221

4.  Sex Differences in the Relationship between Fitness and Obesity on Risk for Asthma in Adolescents.

Authors:  Kim D Lu; John Billimek; Ronen Bar-Yoseph; Shlomit Radom-Aizik; Dan M Cooper; Hoda Anton-Culver
Journal:  J Pediatr       Date:  2016-06-16       Impact factor: 4.406

5.  Cardiorespiratory Fitness, Physical Activity, and Insulin Resistance in Children.

Authors:  Eero A Haapala; Petri Wiklund; Niina Lintu; Tuomo Tompuri; Juuso Väistö; Taija Finni; Ina M Tarkka; Titta Kemppainen; Alan R Barker; Ulf Ekelund; Soren Brage; Timo A Lakka
Journal:  Med Sci Sports Exerc       Date:  2020-05

6.  The associations of cardiorespiratory fitness, adiposity and sports participation with arterial stiffness in youth with chronic diseases or physical disabilities.

Authors:  Eero A Haapala; Kristel Lankhorst; Janke de Groot; Maremka Zwinkels; Olaf Verschuren; Harriet Wittink; Frank Jg Backx; Anne Visser-Meily; Tim Takken
Journal:  Eur J Prev Cardiol       Date:  2017-04-04       Impact factor: 7.804

Review 7.  Evaluation of the metabolic rate based on the recording of the heart rate.

Authors:  Jacques Malchaire; Francesca Romana d'AMBROSIO Alfano; Boris Igor Palella
Journal:  Ind Health       Date:  2017-02-28       Impact factor: 2.179

8.  Independent and Interactive Associations of Fitness and Fatness With Changes in Cardiometabolic Risk in Children: A Longitudinal Analysis.

Authors:  Xianwen Shang; Yanping Li; Haiquan Xu; Qian Zhang; Xiaoqi Hu; Ailing Liu; Songming Du; Tingyu Li; Hongwei Guo; Ying Li; Guifa Xu; Weijia Liu; Jun Ma; Guansheng Ma
Journal:  Front Endocrinol (Lausanne)       Date:  2020-06-12       Impact factor: 5.555

9.  Associations of physical activity, sedentary time, and cardiorespiratory fitness with heart rate variability in 6- to 9-year-old children: the PANIC study.

Authors:  Aapo Veijalainen; Eero A Haapala; Juuso Väistö; Marja H Leppänen; Niina Lintu; Tuomo Tompuri; Santeri Seppälä; Ulf Ekelund; Mika P Tarvainen; Kate Westgate; Søren Brage; Timo A Lakka
Journal:  Eur J Appl Physiol       Date:  2019-09-18       Impact factor: 3.078

Review 10.  Metabolic equivalents of task are confounded by adiposity, which disturbs objective measurement of physical activity.

Authors:  Tuomo T Tompuri
Journal:  Front Physiol       Date:  2015-08-11       Impact factor: 4.566

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