Date of Award

Spring 5-10-2024

Degree Type

Thesis

Degree Name

Master of Science - Kinesiology

Department

Kinesiology and Health Science

First Advisor

Dr. Eric Jones

Second Advisor

Dr. Todd Whitehead

Third Advisor

Dr. Amber Chelette

Fourth Advisor

Dr. Dustin Joubert

Abstract

Running economy (RE) has been identified as a critical component of endurance performance. Alterations in footwear have shown to significantly impact RE. Quantifying reliability of within-day RE measures may determine differences that could be expected when testing footwear. PURPOSE: Assess within-day reliability of RE testing on a calibrated metabolic system. METHODS: Trained male distance runners (n=10) were recruited to perform 4 × 5-minute trials (set speed, in habitual running shoes) at their estimated marathon pace (5-minute rest period) during a single visit to the lab. Oxygen consumption (VO2) data were collected during the final two minutes of each stage and averaged in duplicate across stages (A-B-B-A) to replicate the structure of footwear testing. Duplicate (A-B-B-A) and singular (A-B) measures were utilized for comparison. Within-subject coefficient of variation (WSCV) for each individual were averaged across subjects to determine group mean WSCV. RESULTS: Group mean WSCV for VO2 in duplicate measures was 0.57% (+0.04 to 1.3%), while group mean WSCV in singular measures was 0.50% (+0.08 to 1.63%). Repeated measures ANOVA revealed no differences in VO2 (p = 0.662) across trials. CONCLUSIONS: Small WSCV values indicate that observed differences in VO2 beyond ~0.6% while testing footwear conditions could be attributed to the condition rather than biological or mechanical variability. The metabolic system in the current study exhibited consistently low variability in VO2, both in duplicate measures and singular measures. However, in a less iv reliable metabolic cart, duplicate measures may serve to improve the reliability of the protocol.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Available for download on Sunday, May 10, 2026

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