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Development of peak oxygen uptake from 11–16 years determined using both treadmill and cycle ergometry

PURPOSES: To investigate the development of peak oxygen uptake ([Formula: see text] ) assessed on both a treadmill and a cycle ergometer in relation with sex and concurrent changes in age, body mass, fat-free mass (FFM), and maturity status and to evaluate currently proposed ‘clinical red flags’ or...

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Detalles Bibliográficos
Autores principales: Armstrong, Neil, Welsman, Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394694/
https://www.ncbi.nlm.nih.gov/pubmed/30627827
http://dx.doi.org/10.1007/s00421-019-04071-3
Descripción
Sumario:PURPOSES: To investigate the development of peak oxygen uptake ([Formula: see text] ) assessed on both a treadmill and a cycle ergometer in relation with sex and concurrent changes in age, body mass, fat-free mass (FFM), and maturity status and to evaluate currently proposed ‘clinical red flags’ or health-related cut-points for peak [Formula: see text] . METHODS: Multiplicative multilevel modelling, which enables the effects of variables to be partitioned concurrently within an allometric framework, was used to analyze the peak [Formula: see text] s of 138 (72 boys) students initially aged 11–14 years and tested on three annual occasions. Models were founded on 640 (340 from boys) determinations of peak [Formula: see text] , supported by anthropometric measures and maturity status. RESULTS: Mean peak [Formula: see text] s were 11–14% higher on a treadmill. The data did not meet the statistical assumptions underpinning ratio scaling of peak [Formula: see text] with body mass. With body mass appropriately controlled for boys’ peak [Formula: see text] s were higher than girls’ values and the difference increased with age. The development of peak [Formula: see text] was sex-specific, but within sex models were similar on both ergometers with FFM the dominant anthropometric factor. CONCLUSIONS: Data should not be pooled for analysis but data from either ergometer can be used independently to interpret the development of peak [Formula: see text] in youth. On both ergometers and in both sexes, FFM is the most powerful morphological influence on the development of peak [Formula: see text] . ‘Clinical red flags’ or health-related cut-points proposed without consideration of exercise mode and founded on peak [Formula: see text] in ratio with body mass are fallacious.