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Running Power at Lactate Threshold and Lactate Turnpoint Are Unaltered by Treadmill Incline.
Dami C Adejuwon1, Robin Faricier1,2, Daniel A Keir1,2,3
1School of Kinesiology,The University of Western Ontario, London, ON, Canada.
Running power output at the lactate threshold and lactate turnpoint remains consistent across treadmill inclines. This finding supports using running power output (rPO) to monitor exercise intensity regardless of gradient.
Area of Science:
- Exercise Physiology
- Sports Science
- Biomechanical Engineering
Background:
- Wearable technology provides novel metrics for monitoring exercise intensity.
- Running power output (rPO) is a promising metric, but its validity across different inclines needs investigation.
- Lactate threshold (LT) and lactate turnpoint (LTP) are key indicators of endurance performance.
Purpose of the Study:
- To investigate the effect of treadmill incline on wearable-derived running power output (rPO).
- To determine if rPO at the lactate threshold (LT) and lactate turnpoint (LTP) differs across inclines.
- To assess the consistency of rPO as an intensity metric during incline running.
Main Methods:
- Thirteen trained runners underwent rPO-matched treadmill tests at 0%, 5%, and 10% inclines.
- Running speed was adjusted to maintain consistent rPO across inclines.
- Oxygen uptake (V˙O2) and rPO were continuously measured; blood lactate was assessed periodically.
- LT and LTP were identified using established fitting models based on blood lactate and rPO data.
Main Results:
- The relationship between V˙O2 and rPO was consistent across all inclines.
- No significant differences were found in rPO at LT (0% vs. 5% vs. 10%) or LTP across the tested inclines.
- Oxygen uptake at LT and LTP also remained consistent regardless of treadmill incline.
Conclusions:
- Wearable-derived rPO at LT and LTP is consistent in highly trained runners across treadmill inclines from 0% to 10%.
- These findings validate the use of rPO for monitoring exercise intensity during incline running.
- rPO can be reliably used in training and performance settings irrespective of gradient changes.
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