INTRODUCTION: The critical power (CP) exercise test provides 2 measures, CP and anaerobic working capacity (AWC). CP represents a fatigue threshold that separates the heavy and severe exercise domains, while AWC represents the finite amount of work that can be done above CP. A relatively new protocol for estimating CP has emerged and is described as the 3-minute all-out test (3MT). While this lower body 3MT test has been examined for validity and reliability, very little has been done for the upper body. PURPOSE: Examine the reliability of EP and WEP from the 3MT during upper-body ergometry. This study also compares the traditional CP test vs. 3MT methods for estimating CP and AWC. METHODS: 15 recreationally active men (age: 23 ± 2.6 y; height: 175 ± 4.5 cm; weight: 86.8 ± 14.4 kg; body fat: 20.7 ± 7.8% body fat) completed a graded exercise test to exhaustion on an arm ergometer to determine peak power output (PPO). Participants completed two 3-minute all-out tests (3MT) on different days. Finally, each participant completed three constant work-rate arm-cranking tests at 90, 100, and 110% PPO. Linear regression was used to estimate CP and AWC via the work-time relationship during the constant work-rate tests. EP and WEP were determined using the work-time integral during the 3MT. RESULTS: ICC values for EP (.90) and TW (.956) revealed excellent reliability, while AWC (.783) had good reliability. CP estimated from the traditional method was significantly different from EP estimated from 3MT (t[14] = -3.631; p = 0.003). W' estimated from the traditional method was not significantly different from WEP estimated from 3MT (t[14] = .185; p = .856). CONCLUSIONS: The 3-minute all-out test (3MT) is a reliable method for estimating EP during upper-body ergometry.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd2020-1765 |
| Date | 01 January 2021 |
| Creators | Starling-Smith, Tristan |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations, 2020- |
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