Key result
Using a new segmented linear regression method, 58.54% of physically active men presented a VO2max plateau, with no significant differences in physiological variables compared to those without a plateau.
Why the study?
The classic criterion for identifying the VO2max plateau faces many critiques, prompting the proposal of a new statistic-based identification methodology and an evaluation of differences between individuals with and without a plateau.
Does a new statistic-based segmented linear regression methodology identify VO2max plateaus and differentiate physiological characteristics in physically active men?
Population
41 physically active men
Comparison
Individuals who presented vs those who did not present the maximum VO2max plateau
Authors
Loading...
New regression method identifies individual VO2max plateaus; hypothesis-generating for physiological equivalence and requires prospective validation before clinical use.
Observational (n=41)
Does a new statistic-based segmented linear regression methodology identify VO2max plateaus and differentiate physiological characteristics in physically active men?
A new segmented linear regression method can identify VO2max plateaus individually, showing no physiological differences between those who do and do not reach a plateau.
Abreu et al. (2019) reported an observational. Presence of VO2max plateau identified by segmented linear regression vs. Absence of VO2max plateau was evaluated on Differences in metabolic, ventilatory and velocity variables. Using a new segmented linear regression method, 58.54% of physically active men presented a VO2max plateau, with no significant differences in physiological variables compared to those without a plateau.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: