Interpreting Aerobic Fitness in Youth: Alternatives to Ratio Scaling—A Response to Blais et al (2019)

2019 ◽  
Vol 31 (2) ◽  
pp. 256-257 ◽  
Author(s):  
Jo Welsman ◽  
Neil Armstrong
2019 ◽  
Vol 31 (2) ◽  
pp. 184-190 ◽  
Author(s):  
Jo Welsman ◽  
Neil Armstrong

2020 ◽  
Vol 2 (4) ◽  
pp. 275-286 ◽  
Author(s):  
Neil Armstrong ◽  
Jo Welsman

Abstract Purpose To challenge current conventions in paediatric sport science and use data from recent longitudinal studies to elucidate the development of aerobic and anaerobic fitness, with reference to youth athletes. Methods (1) To critically review the traditional practice of ratio scaling physiological variables with body mass and, (2) to use multiplicative allometric models of longitudinal data, founded on 1053 (550 from boys) determinations of 10–17-year-olds’ peak oxygen uptake ($$ {{\text{V}}\text{O}}_{2} $$ VO 2 ) and 763 (405 from boys) determinations of 11–17-year-olds’ peak power output (PP) and mean power output (MP), to investigate the development of aerobic and anaerobic fitness in youth. Results The statistical assumptions underpinning ratio scaling of physiological variables in youth are seldom met. Multiplicative allometric modelling of longitudinal data has demonstrated that fat free mass (FFM) acting as a surrogate for active muscle mass, is the most powerful morphological influence on PP, MP, and peak $$ {{\text{V}}\text{O}}_{2} $$ VO 2 . With FFM appropriately controlled for, age effects remain significant but additional, independent effects of maturity status on anaerobic and aerobic fitness are negated. Conclusions Ratio scaling of physiological variables with body mass is fallacious, confounds interpretation of the development of anaerobic and aerobic fitness, and misleads fitness comparisons within and across youth sports. Rigorous evaluation of the development of anaerobic and aerobic fitness in youth requires longitudinal analyses of sex-specific, concurrent changes in age- and maturation-driven morphological covariates. Age and maturation-driven changes in FFM are essential considerations when evaluating the physiological development of youth athletes.


2019 ◽  
Vol 31 (2) ◽  
pp. 254-255 ◽  
Author(s):  
Samuel Blais ◽  
Joel Blanchard ◽  
Frederic Dallaire

2016 ◽  
Vol 30 (3) ◽  
pp. 102-113 ◽  
Author(s):  
Chun-Hao Wang ◽  
Chun-Ming Shih ◽  
Chia-Liang Tsai

Abstract. This study aimed to assess whether brain potentials have significant influences on the relationship between aerobic fitness and cognition. Behavioral and electroencephalographic (EEG) data was collected from 48 young adults when performing a Posner task. Higher aerobic fitness is related to faster reaction times (RTs) along with greater P3 amplitude and shorter P3 latency in the valid trials, after controlling for age and body mass index. Moreover, RTs were selectively related to P3 amplitude rather than P3 latency. Specifically, the bootstrap-based mediation model indicates that P3 amplitude mediates the relationship between fitness level and attention performance. Possible explanations regarding the relationships among aerobic fitness, cognitive performance, and brain potentials are discussed.


2005 ◽  
Vol 35 (24) ◽  
pp. 54
Author(s):  
Bruce Jancin
Keyword(s):  

Author(s):  
Kelsey C. Bourbeau ◽  
Mattina M. Rosinski ◽  
Taylor M. Szczygiel ◽  
Ryan Pettit-Mee ◽  
Jenna E. Sessions ◽  
...  

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