Date of Award

4-2020

Degree Name

Master of Science

Department

Human Performance and Health Education

First Advisor

Dr. Nicholas J. Hanson

Second Advisor

Dr. Timothy J. Michael

Third Advisor

Dr. Michael. G. Miller

Keywords

Interval training, lactate retention, lactate threshold, mechanical efficiency, wingate

Access Setting

Masters Thesis-Open Access

Abstract

Interval training (IT) is used to improve aerobic capacity and increase tolerance to lactate. Few studies to date have focused on trapping lactate in the muscles during recovery periods of IT, a method called “lactate retention”, or LR. PURPOSE: To determine if LR can produce greater improvements in lactate threshold (LT) and a faster rate of change in blood lactate concentration ([rΔBL]) compared to IT with active recovery (AR). METHODS: Ten cross-trained subjects (age 23.3 ± 4.7 years) participated; each came to the lab twice per week for the duration of the study. Visit 1 included an LT test to exhaustion. Visit 2 involved three Wingate anaerobic tests (WAnTs) with measurements for [rΔBL] directly following each (1, 2, and 3). Peak Power (PP), relative peak power (rPP), average power (AP), relative average power (rAP), and fatigue index (FI) were also measured. Subjects were randomly assigned to either the LR or AR group; visits 3-10 involved IT as either LR or AR twice per week, for four weeks. Visits 11 and 12 involved retesting visits 1 and 2 in the same order. A 2x2 repeated measures mixed ANOVAs were used to analyze the data. RESULTS: There were no differences in LT between groups or from pre- to post-training (p > 0.05). There were no improvements in PP, rPP, AP, rAP, or FI following training in either group (p > 0.05). Lastly, there were no differences in [rΔBL] for either group after training (p > 0.05). CONCLUSION: Even though there were no significant differences, workload at LT for the LR group increased by 11.1 W (a 6.67% increase) while the AR group decreased by 0.7 W (a 0.4% decrease). Future research is warranted as this study had a low subject number and high variance in the data.

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