Prescribing 6-weeks of running training using parameters from a self-paced maximal oxygen uptake protocol

Abstract

Purpose

The self-paced maximal oxygen uptake test (SPV) may offer effective training prescription metrics for athletes. This study aimed to examine whether SPV-derived data could be used for training prescription.

Methods

Twenty-four recreationally active male and female runners were randomly assigned between two training groups: (1) Standardised (STND) and (2) Self-Paced (S-P). Participants completed 4 running sessions a week using a global positioning system-enabled (GPS) watch: 2 × interval sessions; 1 × recovery run; and 1 × tempo run. STND had training prescribed via graded exercise test (GXT) data, whereas S-P had training prescribed via SPV data. In STND, intervals were prescribed as 6 × 60% of the time that velocity at \(\dot {V}_}}\) ( \(_}\dot {V}_}}\) ) could be maintained (T_max). In S-P, intervals were prescribed as 7 × 120 s at the mean velocity of rating of perceived exertion 20 (_vRPE20). Both groups used 1:2 work:recovery ratio. Maximal oxygen uptake ( \(\dot {V}_}}\) ), \(_}\dot {V}_}}\) , T_{max, v}RPE20, critical speed (CS), and lactate threshold (LT) were determined before and after the 6-week training.

Results

STND and S-P training significantly improved \(\dot {V}_}}\) by 4 ± 8 and 6 ± 6%, CS by 7 ± 7 and 3 ± 3%; LT by 5 ± 4% and 7 ± 8%, respectively (all P < .05), with no differences observed between groups.

Conclusions

Novel metrics obtained from the SPV can offer similar training prescription and improvement in \(\dot {V}_}}\) , CS and LT compared to training derived from a traditional GXT.

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