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Does a single bout maximal effort forearm exercise test for determining critical impulse result in maximal oxygen delivery and consumption in men? A randomized crossover trial.

Alyssa M FenutaPatrick J DrouinZach I N KohokoMytchel J T LynnMichael E Tschakovsky
Published in: Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme (2023)
In a single bout maximal effort isometric forearm handgrip exercise test (maximal effort exercise test, MXT), contraction impulse exhibits exponential decay to an asymptote equivalent to critical impulse (CI). It is unknown whether oxygen delivery (O 2del ) and consumption ( V ˙ O 2 ) achieved at CI are maximal. Healthy men participated in a randomized crossover trial at Queen's University (Kingston, ON) between October 2017-May 2018. Participants completed an MXT and forearm incremental exercise test to limit of tolerance (IET-LOT) (7 completed MXT followed by IET-LOT vs. 4 completed IET-LOT followed by MXT) within a 2 week period. Data are presented as mean ± standard deviation. Maximal forearm blood flow (FBF) and O 2del were not different in 11 men (21 ± 2.5 years) between MXT and IET-LOT (FBF = 473.8 ± 132.2 mL/min vs. 502.3 ± 152.3 mL/min; P  = 0.482, η p 2  = 0.015; O 2del = 85.2 ± 23.5 mL/min vs. 92.2 ± 37.0 mL/min; P  = 0.456, η p 2  = 0.012). However, MXT resulted in greater maximal V ˙ O 2 than IET-LOT (44.5 ± 15.2 mL/min > 36.8 ± 11.4 mL/min; P  = 0.007, η p 2  = 0.09), due to greater oxygen extraction (54.0 ± 10.0% > 44.4 ± 8.6%; P  = 0.021, η p 2  = 0.185). As CI was 88.6 ± 8.2% of IET-LOT contraction impulse, maximal O 2 cost of contractions in MXT was greater than IET-LOT (0.45 ± 0.14 mL/min/Ns > 0.33 ± 0.09 mL/min/Ns; P  < 0.001, η p 2  = 0.166). In healthy men, MXT identifying CI results in similar peak oxygen delivery but greater peak V ˙ O 2 via increased extraction compared to an IET-LOT, indicating increased oxygen cost. MXT-CI may better estimate maximal V ˙ O 2 than traditional IET-LOT for this exercise modality.
Keyphrases
  • resistance training
  • high intensity
  • body composition
  • heart rate
  • blood flow
  • physical activity
  • middle aged
  • randomized controlled trial
  • double blind
  • big data
  • deep learning