Effects of exercise-induced fatigue on postural balance: a comparison of treadmill versus cycle fatiguing protocols

Wright, Katherine E.; Lyons, Scott; Navalta, James W.

doi:10.1007/s00421-012-2553-z

Cited by 23 publications

(41 citation statements)

References 18 publications

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“…The findings of this study support previous research demonstrating that dynamic postural control is heavily influenced by fatiguing protocols such as isolated muscle fatigue 12,13 , lower limb fatiguing exercises 12 , treadmill running 27 and high intensity intermittent exercise 11 . Whyte and colleagues…”

Section: Discussionsupporting

confidence: 89%

Investigating the effects of maximal anaerobic fatigue on dynamic postural control using the Y-Balance Test

Johnston

Dolan

Reid

et al. 2018

Journal of Science and Medicine in Sport

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Section: Discussionsupporting

confidence: 89%

Investigating the effects of maximal anaerobic fatigue on dynamic postural control using the Y-Balance Test

Johnston

Dolan

Reid

et al. 2018

Journal of Science and Medicine in Sport

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“…The results presented in this paper support previously published ones indicating that dynamic balance is heavily influenced by isolated muscle fatigue , Gribble et al, 2009, lower limb fatiguing exercises (Gribble et al, 2009), treadmill running (Wright et al, 2013) and high intensity intermittent exercise protocols (Whyte et al, 2015). Whyte and colleagues (2015) investigated the effect of high intensity intermittent exercise on dynamic balance, as measured by the SEBT.…”

Section: Discussionsupporting

confidence: 91%

Objective Classification of Dynamic Balance Using a Single Wearable Sensor

O’Reilly¹,

Dolan²,

Reid³

et al. 2016

Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support

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Abstract:The Y Balance Test (YBT) is one of the most commonly used dynamic balance assessments in clinical and research settings. This study sought to investigate the ability of a single lumbar inertial measurement unit (IMU) to discriminate between the three YBT reach directions, and between pre and post-fatigue balance performance during the YBT. Fifteen subjects (age: 23±4, weight: 67.5±8, height: 175±8, BMI: 22±2) were fitted with a lumbar IMU. Three YBTs were performed on the dominant leg at 0, 10 and 20 minutes. A modified Wingate fatiguing intervention was conducted to introduce a balance deficit. This was followed immediately by three post-fatigue YBTs. Features were extracted from the IMU, and used to train and evaluate the random-forest classifiers. Reach direction classification achieved an accuracy of 97.80%, sensitivity of 97.86±0.89% and specificity of 98.90±0.56%. "Normal" and "abnormal" balance performance, as influenced by fatigue, was classified with an accuracy of 61.90%-71.43%, sensitivity of 61.90%-69.04% and specificity of 61.90%-78.57% depending on which reach direction was chosen. These results demonstrate that a single lumbar IMU is capable of accurately distinguishing between the different YBT reach directions and can classify between pre and post-fatigue balance with moderate levels of accuracy.

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“…When the effect size and percentage change are viewed in conjunction, these findings suggest that the 95EV demonstrated a change of greater magnitude than the traditional reach distances. The findings from this study support previously published research demonstrating the negative effects of various fatigue interventions such as anaerobic exercise [26], isolated muscle fatigue [28, 34], lower limb fatiguing exercises [28], treadmill running [35], and high intensity intermittent exercise [27] on dynamic balance.…”

Section: Discussionsupporting

confidence: 80%

Inertial Sensor Technology Can Capture Changes in Dynamic Balance Control during the Y Balance Test

et al. 2018

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Introduction: The Y Balance Test (YBT) is one of the most commonly utilised clinical dynamic balance assessments. Research has demonstrated the utility of the YBT in identifying balance deficits in individuals following lower limb injury. However, quantifying dynamic balance based on reach distances alone fails to provide potentially important information related to the quality of movement control and choice of movement strategy during the reaching action. The addition of an inertial sensor to capture more detailed motion data may allow for the inexpensive, accessible quantification of dynamic balance control during the YBT reach excursions. As such, the aim of this study was to compare baseline and fatigued dynamic balance control, using reach distances and 95EV (95% ellipsoid volume), and evaluate the ability of 95EV to capture alterations in dynamic balance control, which are not detected by YBT reach distances. Methods: As part of this descriptive laboratory study, 15 healthy participants completed repeated YBTs at 20, 10, and 0 min prior to and following a modified 60-s Wingate test that was used to introduce a short-term reduction in dynamic balance capability. Dynamic balance was assessed using the standard normalised reach distance method, while dynamic balance control during the reach attempts was simultaneously measured by means of the 95EV derived from an inertial sensor, worn at the level of the 4th lumbar vertebra. Results: Intraclass correlation coefficients for the inertial sensor-derived measures ranged from 0.76 to 0.92, demonstrating strong intrasession test-retest reliability. Statistically significant alterations (p < 0.05) in both reach distance and the inertial sensor-derived 95EV measure were observed immediately post-fatigue. However, reach distance deficits returned to baseline levels within 10 min, while 95EV remained significantly increased (p < 0.05) beyond 20 min for all 3 reach distances. Conclusion: These findings demonstrate the ability of an inertial sensor-derived measure to quantify alterations in dynamic balance control, which are not captured by traditional reach distances alone. This suggests that the addition of an inertial sensor to the YBT may provide clinicians and researchers with an accessible means to capture subtle alterations in motor function in the clinical setting.

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Effects of exercise-induced fatigue on postural balance: a comparison of treadmill versus cycle fatiguing protocols

Cited by 23 publications

References 18 publications

Investigating the effects of maximal anaerobic fatigue on dynamic postural control using the Y-Balance Test

Investigating the effects of maximal anaerobic fatigue on dynamic postural control using the Y-Balance Test

Objective Classification of Dynamic Balance Using a Single Wearable Sensor

Inertial Sensor Technology Can Capture Changes in Dynamic Balance Control during the Y Balance Test

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