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Biomedical subjects

Henri Benoit

Publications and source records attributed to Henri Benoit.

2 recordsLinked to original sources

Decrease in peak heart rate with acute hypoxia in relation to sea level VO(2max).

The aim of this study was to evaluate the influence of arterial oxygen saturation ( SaO(2)) on maximal heart rate during maximal exercise under conditions of acute hypoxia compared with normoxia. Forty-six males were divided into three groups depending on their sea level maximal oxygen consumption ( VO(2max)): high [GH, VO(2max)=64.2 (3.3) ml x min(-1) x kg(-1)], medium [GM, 50.8 (3.9) ml x min(-1) x kg(-1)] and low [GL, 41.0 (1.9) ml x min(-1) x kg(-1)]. All subjects performed a maximal exercise test in two conditions of inspired oxygen tension ( PIO(2), (149 mmHg and 70 mmHg). Among the GM group, seven subjects performed five supplementary incremental exercise tests at PIO(2) 136, 118, 104, 92, and 80 mmHg. Measurements of VO(2max) and SaO(2) using an ear-oxymeter were carried out at all levels of PIO(2). The decrease in SaO(2 )and peak heart rate (HR(peak)) with PIO(2) became significant from 104 and 92 mmHg. SaO(2) correlated with the decrease in HR(peak). For PIO(2)=70 mmHg, the decrease in VO(2max), SaO(2) and HR(peak) was, respectively, 44%, 62%, and 17.0 bpm for GH, 38%, 68%, and 14.7 bpm for GM, and 34%, 68%, and 11.8 bpm for GL. During maximal exercise in hypoxia, SaO(2) was lower for GH than GM and GL ( p<0.01). Among subjects in GH, five presented exercise-induced hypoxemia (EIH) when exercising in normoxia. The EIH group exhibited a greater decrement in HR(peak) than the non-EIH group at maximal hypoxic exercise (21.2 bpm vs. 15.0 bpm; p<0.05). When subjects are exposed to acute hypoxia, the lower SaO(2), due either to lower PIO(2) or to training status, is associated with lower HR(peak).

Acute Disease↗

Effects of training frequency on the dynamics of performance response to a single training bout.

The aim of this study was to analyze the effect of an increase in training frequency on exercise-induced fatigue by using a systems model with parameters free to vary over time. Six previously untrained subjects undertook a 15-wk training experiment composed of 1) an 8-wk training period with three sessions per week (low-frequency training), 2) 1 wk without training, 3) a 4-wk training period with five sessions per week [high frequency training (HFT)], and 4) 2 wk without training. The systems input ascribed to training loads was computed from interval exercises and expressed in arbitrary units. The systems output ascribed to performance was evaluated three times each week using maximal power sustained over 5 min. The time-varying parameters of the model were estimated by fitting modeled performances to the measured ones using a recursive least squares method. The variations over time in the model parameters showed an increase in magnitude and duration of fatigue induced by a single training bout. The time needed to recover performance after a training session increased from 0.9 +/- 2.1 days at the end of low-frequency training to 3.6 +/- 2.0 days at the end of HFT. The maximal gain in performance for a given training load decreased during HFT. This study showed that shortening recovery time between training sessions progressively yielded a more persistent fatigue induced by each training.

Adaptation, Physiological↗