Adaptations in trunk-pelvis coordination variability in response to fatiguing exercise

BACKGROUND: Nearly half of persons with Parkinson disease (PD) report fatigue as a factor in their fall history. However, it is unknown whether these self-reported falls are caused by a sensation of fatigue or performance fatigue. OBJECTIVE: We sought to investigate the influences of performance fatigue and age on postural control in persons with PD. METHODS: Individuals with PD (n = 14) underwent postural control assessments before (T0) and immediately after (T1) fatiguing exercise. Biomechanical data were gathered on participants completing a treadmill-induced, posterior-directed fall. Performance fatigue was produced using lower extremity resistance exercise on an isokinetic ergometer. Repeated measures ANCOVAs were used with age as a covariate to determine the effects of performance fatigue on biomechanical variables. RESULTS: After adjustment for age, there was a statistically significant difference in peak center of pressure (COP) latency during the support phase of recovery. Pairwise comparisons demonstrated a decrease in peak ankle displacement from T0 to T1. Age was also found to be significantly related to reaction time and peak knee displacement while participants were fatigued. CONCLUSIONS: The decreased peak COP latency, along with decreased ankle angular displacement, suggest that persons with PD adopt a stiffening strategy in response to backward directed falls. Postural stiffening is not uncommon in persons with PD and could be a risk factor for falls. Older individuals with PD demonstrate slower mobility scores and decreased reaction times in the setting of fatigue, suggesting a combined effect of the aging and fatigue processes.

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The free amino acid profile in the middle gluteal before and after fatiguing exercise in the horse

Equine Veterinary Journal ◽

10.1111/j.2042-3306.1990.tb04249.x ◽

1990 ◽

Vol 22 (3) ◽

pp. 209-210 ◽

Cited By ~ 21

Author(s):

PEGGY A. MILLER-GRABER ◽

LAURIE M. LAWRENCE ◽

ELAINE KURCZ ◽

RACHEL KANE ◽

KARIN BUMP ◽

...

Keyword(s):

Amino Acid ◽

Free Amino Acid ◽

Free Amino ◽

Amino Acid Profile ◽

Before And After ◽

Fatiguing Exercise

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Effects of Cold Water Immersion on Muscle Oxygenation During Repeated Bouts of Fatiguing Exercise

Medicine ◽

10.1097/md.0000000000002455 ◽

2016 ◽

Vol 95 (1) ◽

pp. e2455 ◽

Cited By ~ 12

Author(s):

Simon S. Yeung ◽

Kin Hung Ting ◽

Maurice Hon ◽

Natalie Y. Fung ◽

Manfi M. Choi ◽

...

Keyword(s):

Cold Water ◽

Water Immersion ◽

Cold Water Immersion ◽

Muscle Oxygenation ◽

Fatiguing Exercise

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Vitamin and mineral supplementation effect on muscular activity and cycling efficiency in master athletes

Applied Physiology Nutrition and Metabolism ◽

10.1139/h10-014 ◽

2010 ◽

Vol 35 (3) ◽

pp. 251-260 ◽

Cited By ~ 16

Author(s):

Julien Louis ◽

Christophe Hausswirth ◽

François Bieuzen ◽

Jeanick Brisswalter

Keyword(s):

Slow Component ◽

Vastus Lateralis ◽

Muscular Activity ◽

Knee Extensors ◽

Emg Activity ◽

Master Athletes ◽

Double Blind ◽

Mineral Complex ◽

Cycling Efficiency ◽

Fatiguing Exercise

The influence of vitamin and mineral complex supplementation on muscular activity and cycling efficiency was examined in elderly endurance-trained master athletes during a heavy cycling trial. Master athletes were randomly assigned in a double-blind process to 1 of 2 treatment groups: antioxidant supplementation (n = 8: As group) or placebo (n = 8: Pl group) for 21 days. After that time, each subject had to perform a 10-min session of cycling on a cycloergometer at a heavy constant intensity. Twenty-four to 48 h after this session, subjects performed an isometric maximal voluntary contraction before and immediately after a fatiguing strength training (leg press exercise) and the same 10-min cycling test after fatigue. Isometric maximal voluntary force (MVF) of knee extensors was assessed before and after fatigue. Electromyographic (EMG) activity of the vastus medialis, the vastus lateralis (VL), and the biceps femoris was recorded with surface EMG. The knee-extensors MVF after the fatiguing exercise was reduced in similar proportions for both groups (As, –10.9%; Pl, –11.3%, p < 0.05). This MVF loss was associated with a significant reduction in EMG frequency parameters for both groups, with a lower decrease for the As group. Muscular activity and cycling efficiency during the cycling bouts were affected by the treatment. Cycling efficiency decreased significantly and the oxygen uptake slow component was higher after the fatiguing exercise for both groups. Furthermore, a decrease in cycling efficiency was associated with an increase in VL activity. However, these changes were significantly lower for the As group. The results of the present study indicate an overall positive effect of vitamin and mineral complex supplementation on cycling efficiency after fatigue, in the endurance-trained elderly.

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Acute Effects of Salvia Supplementation on Cognitive Function in Athletes During a Fatiguing Cycling Exercise: A Randomized Cross-Over, Placebo-Controlled, and Double-Blind Study

Frontiers in Nutrition ◽

10.3389/fnut.2021.771518 ◽

2021 ◽

Vol 8 ◽

Author(s):

Nicolas Babault ◽

Ahmad Noureddine ◽

Nicolas Amiez ◽

Damien Guillemet ◽

Carole Cometti

Keyword(s):

Heart Rate ◽

Reaction Time ◽

Cognitive Function ◽

Stroop Task ◽

Perceived Exertion ◽

Digit Span ◽

Acute Effects ◽

Warm Up ◽

Positive Effects ◽

Fatiguing Exercise

Background:Salvia (sage) supplementation has been shown to improve the cognition function in healthy individuals or patients (e.g., attention, memory). To date, no study has explored its relevancy in the context of sporting performance. The aim of this study was to explore the acute effects of a combination of Salvia officinalis and Salvia lavandulaefolia on cognitive function in athletes performing a fatiguing cycling task.Methods: Twenty-six volunteers were included in this cross-over, randomized, double-bind vs. placebo trial. Two hours before the two experimental sessions (here called SAGE and PLACEBO), volunteers randomly received a supplementation of sage or placebo. During each experimental session, participants were tested at four occasions while cycling during a warm-up, in the middle and at the end of a fatiguing task and after a short 5-min recovery. Tests included a Stroop task, a simple reaction time task, and a backward digit span memory task. Heart rate and rating of perceived exertion (RPE) were also measured at the beginning of the four test sessions.Results: Heart rate was significantly greater during the fatiguing exercise than during warm-up and recovery (P < 0.001) without any supplementation effect. RPE was greater during the fatiguing exercise than during warm-up and recovery (P < 0.001). Moreover, RPE was significantly lower during the SAGE session as compared to PLACEBO (P = 0.002). Reaction time was not altered during the exercise but was significantly shorter with SAGE as compared to PLACEBO (P = 0.023). The Stroop task only revealed significantly longer reaction time during warm-up as compared to recovery (P = 0.02) independently of the supplementation. The digit span memory test revealed a significant greater span score with SAGE as compared to PLACEBO (P = 0.044).Conclusion: The combination of Salvia improved the cognitive functions (perceived exertion, working memory, and reaction time). The positive effects were obtained in fresh condition and were maintained with fatigue.

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A Data-Driven Model to Identify Fatigue Level Based on the Motion Data from a Smartphone

10.1101/796854 ◽

2019 ◽

Author(s):

Swapnali Karvekar ◽

Masoud Abdollahi ◽

Ehsan Rashedi

Keyword(s):

Perceived Exertion ◽

Poor Performance ◽

Machine Learning Algorithms ◽

Motion Sensors ◽

Motion Data ◽

Work Related ◽

Proactive Approach ◽

Fatiguing Exercise ◽

Four Levels ◽

Work Related Musculoskeletal Disorder

AbstractThe fatigue due to repetitive and physically challenging jobs may result in workers’ poor performance and Work-related Musculoskeletal Disorder (WMSD). Thus, it is imperative to frequently monitor fatigue and take necessary recovery actions. Our purpose was to develop a methodology to objectively classify subjects’ fatigue level in the workplace utilizing the motion sensors embedded in the smartphones. An experiment consisting of twenty-four participants (12 M, 12 F) with a smartphone attached to their right shank was conducted using a fatiguing exercise (squatting), targeted mainly the lower extremity musculature. After each set of an exercise (2-min squatting), participants were asked about their ratings of perceived exertion (RPE), then a reference gait data were collected during a straight walk of 20-32 steps. This process was continued until they reported strong fatigue (≥17). Using the RPE to label the gait data, we have developed machine learning algorithms (i.e., binary and multi-class SVM models) to classify the individuals’ gait into two (no-vs. strong-fatigue) and four levels (no-, low-, medium-, and strong-fatigue). The models reached the accuracies of 91% and 61% for two and four-level classification, respectively. The outcomes of this study may facilitate the implementation of a proactive approach in continuous monitoring of operators’ fatigue level, which may subsequently increase the workers’ performance and reduce the risk of WMSDs.

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