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2015 | 46 | 1 | 29-37
Tytuł artykułu

Effect of Performance Speed on Trunk Movement Control During the Curl-Up Exercise

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Trunk exercise speed has significant effects on neuro-mechanical demands; however, the influence of a variety of exercise speeds on motor control of the trunk displacement remains unknown. The aim of this study was to assess the effect of performance speed on trunk motion control during the curl-up exercise by analyzing the kinematic variance about the sagittal trajectory. Seventeen subjects volunteered to perform curl-ups at different cadences controlled by a metronome. Standard deviation (SD) and range (RG) of shoulder girdle medial-lateral displacement (SGML) and detrended fluctuation analysis (DFA) of SGML were calculated to examine linear variability and long range autocorrelation of medial-lateral upper trunk displacements, respectively. In addition, SD, RG and DFA of centre of pressure medial-lateral displacement (COPML) were performed to analyze the behavior of the motor system while controlling trunk displacement. Although SD and RG of COPML increased as speed increased, the curl-up cadence did not have significant effects on SD and RG of SGML. These results suggest that although high speed curl-ups challenged participants’ ability to carry out medial-lateral adjustments, an increase of performance speed did not modify the linear variability about the sagittal trajectory. Regarding DFA, the scaling exponent α of SGML and COPML was higher for the fastest movements, mainly in long term fluctuations. Therefore, to maintain the target trajectory, participants used different strategies depending on performance speed. This is to say, there were less trajectory changes when participants performed the fastest exercises.

Opis fizyczny
  • - Sports Research Centre, Miguel Hernandez University of Elche, Elche (Alicante), Spain.
  • - Sports Research Centre, Miguel Hernandez University of Elche, Elche (Alicante), Spain.
  • - Sports Research Centre, Miguel Hernandez University of Elche, Elche (Alicante), Spain.
  • - Sports Research Centre, Miguel Hernandez University of Elche, Elche (Alicante), Spain.,
  • Amoud H, Abadi M, Hewson DJ, Michel-Pellegrino V, Doussot M, Duchêne J. Fractal time series analysis of postural stability in elderly and control subjects. J Neuroeng Rehabil, 2007; 4: 1-12
  • Axler CT, McGill SM. Low back loads over a variety of abdominal exercises: searching for the safest abdominal challenge. Med Sci Sports Exerc, 1997; 29: 804-811
  • Bashana A, Bartsch R, Kantelhardt JW, Havlin S. Comparison of detrending methods for fluctuation analysis. Physica A, 2008; 387: 5080-5090
  • Beilock SL, Bertenthal BI, Hoerger M, Carr TH. When does haste make waste? Speed accuracy tradeoff, skill level, and the tools of the trade. J Exp Psychol Appl, 2008; 14: 340-352
  • Bird SP, Tarpenning KM, Marino FE. Designing resistance training programmes to enhance muscular fitness. A review of the acute programme variables. Sports Med, 2005; 35: 841-851
  • Chen Z, Ivanov PC, Hu K, Stanley E. Effect of nonstationarities on detrended fluctuation analysis. Phys Rev E, 2002; 65: 1-15
  • Cholewicki J, McGill SM. Mechanical stability on the in vivo lumbar spine: Implications for injury and chronic low back pain. Clin Biomech, 1996; 11: 1-15
  • Davis KG, Marras WS. The effects of motion on trunk biomechanics. Clin Biomech, 2000; 15: 703-717
  • Deffeyes JE, Kochi N, Harbourne RT, Kyvelidou A, Stuberg WA, Stergiou N. Nonlinear detrended fluctuation analysis of sitting center-of-pressure data as an early measure of motor development pathology in infants. Nonlinear Dynamics Psychol Life Sci, 2009; 13: 351-368
  • Delignières D, Ramdania S, Lemoine L, Torre K, Fortes M, Ninot G. Fractal analyses for ‘short’ time series: A re-assessment of classical methods. J Math Psychol, 2006; 50: 525-544
  • Djioua M, Plamondon R. The limit profile of a rapid movement velocity. Hum Mov Sci, 2010; 29: 48-61
  • Dolan P, Adams MA. The relation between EMG activity and extensor moment generation in the erector spinae muscles during bending and lifting activities. J Biomech, 1993; 26: 513-522
  • Eke A, Herman P, Kocsis L, Kozac LR. Fractal characterization of complexity in temporal physiological signals. Physiol Meas, 2002; 23: 1-38
  • Elvira JL, Barbado D, Flores-Parodi B, Moreside JM, Vera-Garcia FJ. Effect of movement speed on trunk and hip exercise performance. Eur J Sport Sci, 2014; 14(6): 547-55
  • Etnyre BR. Accuracy characteristics of throwing as a result of maximum force effort. Percept Mot Skills, 1998; 86: 1211-1217
  • Ferguson CJ. An effect size primer: A guide for clinicians and researchers. Prof Psychol Res Pr, 2009; 40(5): 532-8
  • Fitts PM. The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol, 1954; 47: 381-391
  • García JA, Sabido R, Barbado D, Moreno FJ. Analysis of the relation between throwing speed and throwing accuracy in team-handball according to instruction. Eur J Sport Sci, 2013; 13: 149-154
  • Granata KP, England SA. Stability of dynamic trunk movement. Spine, 2006; 31: 271-276
  • Jordan K, Challis JH, Newell KM. Speed influences on the scaling behavior of gait cycle fluctuations during treadmill running. Hum Mov Sci, 2007; 26: 87-102
  • Kavcic N, Grenier S, McGill SM. Quantifying tissue loads and spine stability while performing commonly prescribed low back stabilization exercises. Spine, 2004; 29: 2319-2329
  • Kwon YH. Effects of the method of body segment parameter estimation on airborne angular momentum. Appl Biomech, 1996; 12: 413-430
  • McGill SM. The mechanics of torso flexion: sit-ups and standing dynamic flexion maneuvers. Clin Biomech, 1995; 10: 184-192
  • McGill SM. Ultimate Back Fitness and Performance. Waterloo, ON: Wabuno Publishers, 311-348; 2006
  • Monfort-Pañego M, Vera-Garcia FJ, Sánchez-Zuriaga D, Sarti-Martínez MA. Electromyographic studies in abdominal exercises: a literature synthesis. J Manipulative Physiol Ther, 2009; 32: 232-244
  • Ogata K. Modern Control Engineering. Upper Saddle River, NJ: Prentice Hall; 2002
  • Shao YH, Gu GF, Jiang ZQ, Zhou WX, Sornette D. Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated. Sci Rep, 2012; 835: 1-5
  • Vera-Garcia FJ, Brown SHM, Gray JR, McGill SM. Effects of different levels of torso coactivation on trunk muscular and kinematic responses to posteriorly applied sudden loads. Clin Biomech, 2006; 21: 443-455
  • Vera-Garcia FJ, Flores-Parodi B, López-Elvira JL, Sarti MA. Influence of trunk curl-up speed on muscular recruitment. J Strength Cond Res, 2008; 2: 684-690
  • Wang CC, Yang WH. Using detrended fluctuation analysis (DFA) to analyze whether vibratory insoles enhance balance stability for elderly fallers. Arch Gerontol Geriatr, 2012; 55: 673-676
  • Winter DA. Biomechanics and motor control of human movement. New York: John Wiley & Sons; 1990
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