Dataset Information

Selective Efficacy of Static and Dynamic Imagery in Different States of Physical Fatigue.

ABSTRACT: There is compelling evidence that motor imagery contributes to improved motor performance, and recent work showed that dynamic motor imagery (dMI) might provide additional benefits by comparison with traditional MI practice. However, the efficacy of motor imagery in different states of physical fatigue remains largely unknown, especially as imagery accuracy may be hampered by the physical fatigue states elicited by training. We investigated the effect of static motor imagery (sMI) and dMI on free-throw accuracy in 10 high-level basketball athletes, both in a non-fatigued state (Experiment 1) and immediately after an incremental running test completed until exhaustion (20 m shuttle run-test-Experiment 2). We collected perceived exhaustion and heart rate to quantify the subjective experience of fatigue and energy expenditure. We found that dMI brought better shooting performance than sMI, except when athletes were physically exhausted. These findings shed light on the conditions eliciting optimal use of sMI and dMI. In particular, considering that the current physical state affects body representation, performing dMI under fatigue may result in mismatches between actual and predicted body states.

SUBMITTER: Kanthack TF

PROVIDER: S-EPMC4773141 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Selective Efficacy of Static and Dynamic Imagery in Different States of Physical Fatigue.

Kanthack Thiago Ferreira Dias TF Guillot Aymeric A Altimari Leandro Ricardo LR Nunez Nagy Susana S Collet Christian C Di Rienzo Franck F

PloS one 20160301 3

There is compelling evidence that motor imagery contributes to improved motor performance, and recent work showed that dynamic motor imagery (dMI) might provide additional benefits by comparison with traditional MI practice. However, the efficacy of motor imagery in different states of physical fatigue remains largely unknown, especially as imagery accuracy may be hampered by the physical fatigue states elicited by training. We investigated the effect of static motor imagery (sMI) and dMI on fre ...[more]

PMID: 26930279

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Project description:BackgroundFatigue prevalence and severity have been assessed in a variety of studies, yet, not in a standardized way, and predominantly in breast cancer patients. Systematic, comparative investigations across a broad range of cancer entities are lacking.MethodsThe FiX study systematically enrolled 2244 cancer patients across 15 entities approximately 2 years after diagnosis. Fatigue was assessed with the multidimensional EORTC QLQ-FA12 questionnaire. Physical, emotional, cognitive, and total fatigue were compared across entities and with normative values of the general population. Differences in patients' characteristics and cancer therapy between entities were taken into account using analyses of covariance models.ResultsAcross all entities, mean physical fatigue levels were significantly higher than age- and sex-matched means of the general population for all cancer entities (all Bonferroni-Holm adjusted P < .01). For most entities also emotional and cognitive fatigue levels were significantly higher than normative values. Age- and sex-standardized physical fatigue prevalence ranged from 31.8% among prostate to 51.7% among liver cancer patients. Differences between entities could not be fully explained by sex, age, BMI, or cancer therapy. Adjusted for these factors, mean physical fatigue was higher for stomach (P = .0004), lung (P = .034), kidney (P = .0011), pancreas (P = .081), and endometrium (P = .022) compared to breast cancer patients. Adjusted means of emotional fatigue were also lowest in breast cancer patients and significantly higher in stomach (P = .0047), bladder (P = .0036), and rectal (P = .0020) cancer patients.ConclusionsPhysical, emotional, and cognitive fatigue is prevalent in all 15 investigated cancer entities even 2 years after diagnosis. Fatigue in breast cancer patients, the so-far most studied group, is in the lowest range among all entities, suggesting that the extent of fatigue is still insufficiently determined. Entity-specific problems might need to be considered in the treatment of fatigue.

Dataset Information

Selective Efficacy of Static and Dynamic Imagery in Different States of Physical Fatigue.

Publications

Selective Efficacy of Static and Dynamic Imagery in Different States of Physical Fatigue.

Similar Datasets

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