Skip to main content
SpringerLink
Log in

Visuelle Bewegungskontrolle geführter Kraftübungen bei jungen Erwachsenen und Senioren

Visual movement control of guided strength exercises in young adults and seniors

  • Hauptbeitrag
  • Published:
German Journal of Exercise and Sport Research Aims and scope Submit manuscript

Zusammenfassung

Visuelle Bewegungskontrolle (Feedback) kann im Rahmen des rehabilitativen Krafttrainings unterstützend wirken, um eine korrekte Bewegungsausführung zu gewährleisten. Allerdings liegen speziell zum Krafttraining kaum Studien zur Effektivität visueller Bewegungskontrolle vor. Um den Effekt eines visuellen Feedbacks während einer geführten Kraftübung (Schulterdrücken) zu untersuchen, wurden 18 junge Probanden (28,8 ± 5,5 Jahre) und 12 Senioren (67,9 ± 4,1 Jahre) getestet. Die Probanden führten am Kraftgerät die Übung Schulterdrücken (3 Sätze, 15 Wiederholungen) randomisiert mit und ohne visuelle Bewegungskontrolle durch. Am Messtag 1 trainierten die Probanden ohne Trainingsgewicht, am Messtag 2 mit 50 % des Ein-Wiederholungsmaximums (1RM). Die Gelenkwinkelverläufe von Ellenbogenextension und -flexion wurden erfasst. Anschließend erfolgte mittels Autokorrelation die Bestimmung der Reproduzierbarkeit des Bewegungsablaufes. Mit Feedback erzielten die Probanden eine signifikant bessere Reproduzierbarkeit der Bewegung als ohne (χ2 = 19,73; p < 0,001). Die Gewichtsbelastung zeigte keinen Effekt auf die Bewegungsgenauigkeit (p > 0,05). Die Altersgruppe der Probanden zeigte einen signifikanten Effekt (χ2 = 6,00; p = 0,014), welcher eine höhere Bewegungsgenauigkeit der jüngeren Probandengruppe abbildet. Es konnte gezeigt werden, dass die visuelle Bewegungskontrolle bei geführten Kraftbelastungen geeignet ist, die Bewegungsausführung zu kontrollieren. In klinischen Settings kann dies eine Möglichkeit darstellen, die Bewegungsausführung bei geführten Kräftigungsübungen zu steuern und eine gezielte Muskelarbeit sicherzustellen. Zukünftige Untersuchungen sollen klären, ob ein visuelles Feedback bei freien Übungen Auswirkungen auf die Bewegungsqualität hat.

Abstract

In the context of strength training in rehabilitation, visual movement control can be helpful to ensure correct movements. However, there are only a few studies that deal with the effectiveness of feedback during resistance exercises. To investigate the effect of feedback during guided exercise, 18 young adults (28.8 ± 5.5 years) and 12 senior citizens (67.9 ± 4.1 years) were tested. Subjects performed shoulder press exercises (3 sets, 15 repetitions) with and without visual movement control in a randomized order. On day 1, the subjects trained without load, and on day 2 they trained at 50% of their single repetition maximum. Joint articulation at the elbow was recorded using elbow extension and flexion. Autocorrelation was used to determine the reproducibility of movements. Subjects achieved better reproducibility of the movement with feedback than without (χ2 = 19.73; p < 0.001). There was no effect of the load on motion accuracy (p > 0.05), but the age group showed a significant effect (χ2 = 6.00; p = 0.014). The younger group shows a higher degree of movement accuracy. In summary, visual movement control is useful in guided exercises to control movement execution. In clinical setting, this may be a way to control the motion performance of guided strength exercises and to ensure purposeful muscle work. Further studies should clarify the effect of visual feedback on the movement quality in unguided strength exercises.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Abb. 1
Abb. 2
Abb. 3
Abb. 4
Abb. 5

Literatur

  • Alhasan, H., Hood, V., & Mainwaring, F. (2017). The effect of visual biofeedback on balance in elderly population: a systematic review. Clinical Interventions in Aging, 12, 487–497.

    Article  PubMed  PubMed Central  Google Scholar 

  • Anton, D., Nelson, M., Russel, T., Goni, A., & Illarramedi, A. (2016). Validation of kinect-based telerehabilitation system with total replacement patients. Journal of Telemedicine, 22(3), 192–197.

    Article  Google Scholar 

  • Banala, S. K., Kim, S. H., Agrawal, S. K., & Scholz, J. P. (2009). Robot assisted gait training with active leg exoskeleton (ALEX). IEEE Transactions on neural Systems and Rehabilitation Engineering: a Publication of the IEEE Engineering in Medicine and Biology Society, 17(1), 2–8.

    Article  Google Scholar 

  • Barden, J. M., Clermont, C. A., Kobsar, D., & Beauchet, O. (2016). Accelerometer-based step regularity is lower in older adults with bilateral knee osteoarthritis. Frontiers in human neuroscience, 10, 625.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1). https://doi.org/10.18637/jss.v067.i01

    Article  Google Scholar 

  • Baweja, H. S., Kwon, M., Onushko, T., Wright, D. L., Corcos, D. M., & Christou, E. A. (2015). Processing of visual information compromises the ability of older adults to control novel fine motor tasks. Experimental brain research, 233(12), 3475–3488.

    Article  PubMed  Google Scholar 

  • Bliss, C. I., Greenwood, M. L., & White, E. S. (1956). A Rankit analysis of paired comparisons for measuring the effect of sprays on flavor. Biometrics, 12(4), 381–403. from http://www.jstor.org/stable/3001679.

    Article  CAS  Google Scholar 

  • Brettmann, K., Vogt, L., Galm, R., Hartge, S., & Banzer, W. (2006). Visuelles Feedback-Gehtraining nach hüftendoprothetischer Versorgung. Deutsche Zeitschrift für Sportmedizin, 57(7/8), 189.

    Google Scholar 

  • Campenella, B., Mattacola, C. G., & Kimura, I. F. (2000). Effect of visual feedback and verbal encouragement on concentric quadriceps and hamstrings peak torque of males and females. Isokinetics and Exercise Science, 8(1), 1–6.

    Google Scholar 

  • Chang, J.-Y., Chang, G.-L., Chien, C.-J. C., Chung, K.-C., & Hsu, A.-T. (2007). Effectiveness of two forms of feedback on training of a joint mobilization skill by using a joint translation simulator. Physical therapy, 87(4), 418–430.

    Article  PubMed  Google Scholar 

  • Cole, K. J., Rotella, D. L., & Harper, J. G. (1998). Tactile impairments cannot explain the effect of age on a grasp and lift task. Experimental brain research, 121(3), 263–269.

    Article  PubMed  CAS  Google Scholar 

  • Ericson, H., Skoog, T., Johansson, M., & Wahlin-Larsson, B. (2017). Resistance training is linked to heightened positive motivational state and lower negative affect among healthy women aged 65-70. Journal of women & aging. https://doi.org/10.1080/08952841.2017.1301720.

    Article  Google Scholar 

  • Fiogbe, E., de Vassimon-Barroso, V., & de Takahashi, M. A. C. (2017). Exercise training in older adults, what effects on muscle oxygenation? A systematic review. Archives of gerontology and geriatrics, 71, 89–98.

    Article  PubMed  Google Scholar 

  • Giuliano, C., Karahalios, A., Neil, C., Allen, J., & Levinger, I. (2017). The effects of resistance training on muscle strength, quality of life and aerobic capacity in patients with chronic heart failure—a meta-analysis. International Journal of Cardiology, 227, 413–423.

    Article  PubMed  Google Scholar 

  • Haff, G., & Triplett, N. T. (Hrsg.). (2016). Essentials of strength training and conditioning (Fourth edition). Champaign: Human Kinetics.

    Google Scholar 

  • Hermann, A., Holsgaard-Larsen, A., Zerahn, B., Mejdahl, S., & Overgaard, S. (2016). Preoperative progressive explosive-type resistance training is feasible and effective in patients with hip osteoarthritis scheduled for total hip arthroplasty—a randomized controlled trial. Osteoarthritis and cartilage, 24(1), 91–98.

    Article  PubMed  CAS  Google Scholar 

  • Hirokawa, S., & Matsumura, K. (1989). Biofeedback gait training system for temporal and distance factors. Medical & Biological Engineering & Computing, 27(1), 8–13.

    Article  CAS  Google Scholar 

  • Holl, N., Wuebbenhorst, K., Behrens, M., & Zschorlich, V. (2015). The effect of age on coordination of stabilization during changing environmental dynamics. Brain Research, 1604, 98–106.

    Article  PubMed  CAS  Google Scholar 

  • Hopper, D. M., Berg, A. M. A., Andersen, H., & Madan, R. (2003). The influence of visual feedback on power during leg press on elite women field hockey players. Physical Therapy in Sport, 4(4), 182–186.

    Article  Google Scholar 

  • Hou, L. J., Song, Z., Pan, Z. J., Cheng, J. L., Yu, Y., & Wang, J. (2016). Decreased activation of subcortical brain areas in the motor fatigue state: an fMRI study. Frontiers in psychology, 7, 1154.

    PubMed  PubMed Central  Google Scholar 

  • Kim, S.-J., Ogilvie, M., Shimabukuro, N., Stewart, T., & Shin, J.-H. (2015). Effects of visual feedback distortion on gait adaptation: comparison of implicit visual distortion versus conscious modulation on retention of motor learning. IEEE transactions on bio-medical engineering, 62(9), 2244–2250.

    Article  PubMed  Google Scholar 

  • Kobayashi, H., Kakihana, W., & Kimura, T. (2014). Combined effects of age and gender on gait symmetry and regularity assessed by autocorrelation of trunk acceleration. Journal of neuroengineering and rehabilitation, 11, 109.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kugler, P. F., Jensen, U., Eskofier, B., & Hornegger, J. (2010). Feedback-Training mit tragbaren Sensor-Netzwerken, Friedrich-Alexander-Universität, Erlangen. https://subs.emis.de/LNI/Proceedings/Proceedings175/3.pdf. Zugegriffen: 20. Apr. 2018.

    Google Scholar 

  • Lam, A. K. W., HajYasien, A., & Kulic, D. (2014). Improving rehabilitation exercise performance through visual guidance. IEEE Engeneering in Medicine and Biology Society.

    Book  Google Scholar 

  • Lösch, C., Nitzsche, N., Schulz, H., Weigert, M., Richter, J., & Wiede, C. (2018). Einsatz und Bedeutung von Seilzügen in der Medizinischen Trainingstherapie am Beispiel Hüft-Totalendoprothese – eine Expertenperspektive. B&G Bewegungstherapie und Gesundheitssport, 34(01), 20–28.

    Article  Google Scholar 

  • Mayer, F., Scharhag-Rosenberger, F., Carlsohn, A., Cassel, M., Müller, S., & Scharhag, J. (2011). The intensity and effects of strength training in the elderly. Deutsches Ärzteblatt international, 108(21), 359–364.

    PubMed  PubMed Central  Google Scholar 

  • Nankaku, M., Ikeguchi, R., Goto, K., So, K., Kuroda, Y., & Matsuda, S. (2016). Hip external rotator exercise contributes to improving physical functions in the early stage after total hip arthroplasty using an anterolateral approach: a randomized controlled trial. Disability and Rehabilitation, 38(22), 278–283.

    Article  Google Scholar 

  • Okoro, T., Whitaker, R., Gardner, A., Maddison, P., Andrew, J. G., & Lemmey, A. (2016). Does an early home-based progressive resistance training program improve function following total hip replacement? Results of a randomized controlled study. BMC musculoskeletal disorders, 17, 173. https://doi.org/10.1186/s12891-016-1023-x.

    Article  PubMed  PubMed Central  Google Scholar 

  • R Core Team (2017). A language and environment for statistical computing.: R foundation for statistical computing. https://www.R-project.org/. Zugegriffen: 16.01.2018

    Google Scholar 

  • Raschner, C., Lembert, S., Mildner, E., Platzer, H.-P., & Patterson, C. (2008). Entwicklung eines sensomotorischen Feedbacktrainingsgerätes für den begleitenden Einsatz in der neuronalen Rehabilitation. Bewegungstherapie und Gesundheitssport, 24, 241–245.

    Article  Google Scholar 

  • Schiebl, F. (2008). Force-Feedback unter besonderer Berücksichtigung interner Modelle. Frankfurt am Main: Peter Lang.

    Google Scholar 

  • Schubert, P. (2013). Die Anwendung nichtlinearer Verfahren zur Charakterisierung der menschlichen Variabilität aus Zeitreihen. Deutsche Zeitschrift für Sportmedizin, 2013(05), 132–140.

    Article  Google Scholar 

  • Schwenk, M., Sabbagh, M., Lin, I., Morgan, P., Grewal, G. S., Mohler, J., et al. (2016). Sensor-based balance training with motion feedback in people with mild cognitive impairment. Journal of Rehabilitation Research and Development, 53(6), 945–958.

    Article  PubMed  Google Scholar 

  • Seidler-Dobrin, R. D., & Stelmach, G. E. (1998). Persistence in visual feedback control by the elderly. Exp Brain Res, 119(4), 467–474.

    Article  PubMed  CAS  Google Scholar 

  • Sigrist, R., Rauter, G., Riener, R., & Wolf, P. (2013). Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review. Psychonomic bulletin & review, 20(1), 21–53.

    Article  Google Scholar 

  • Solomon, S. R., & Sawilowsky, S. S. (2009). Impact of rank-based normalizing transformations on the accuracy of test scores. Journal of Modern Applied Statistical Methods, 8(2), 448–462. from http://digitalcommons.wayne.edu/coe_tbf/5.

    Article  Google Scholar 

  • Stergiou, N., & Decker, L. M. (2011). Human movement variability, nonlinear dynamics, and pathology: Is there a connection? Human Movement Science, 30(5), 869–888.

    Article  PubMed  PubMed Central  Google Scholar 

  • Swinnen, S. P., Lee, T. D., Verschueren, S., Serrien, D. J., & Bogaerds, H. (1997). Interlimb coordination: learning and transfer under different feedback conditions. Human Movement Science, 16(6), 749–785.

    Article  Google Scholar 

  • Tallner, A., & Pfeifer, K. (2008). Bewegungstherapie bei Multipler Sklerose – Wirkungen von körperlicher Aktivität und Training. Bewegungstherapie und Gesundheitssport, 24, 102–108.

    Article  Google Scholar 

  • Vaillancourt, D., Larsson, L., & Newell, K. M. (2003). Effects of aging on force variability, single motor unit discharge patterns, and the structure of 10, 20, and 40 Hz EMG activity. Neurobiology of Aging, 24(1), 25–35.

    Article  PubMed  Google Scholar 

  • Voelcker-Rehage, C., & Alberts, J. L. (2005). Age-related changes in grasping force modulation. Experimental brain research, 166(1), 61–70.

    Article  PubMed  Google Scholar 

  • Wilson, C., Perkin, O. J., McGuigan, M. P., & Stokes, K. A. (2016). The effect of age on technique variability and outcome variability during a leg press. PLoS One, 11(10), e163764.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wishart, L. R., Lee, T. D., Cunningham, S. J., & Murdoch, J. E. (2002). Age-related differences and the role of augmented visual feedback in learning a bimanual coordination pattern. Acta Psychologica, 110(2–3), 247–263.

    Article  PubMed  Google Scholar 

Download references

Förderung

Die Studie wurde durch den ESF gefördert.

Author information

Authors and Affiliations

  1. Fakultät für Human- und Sozialwissenschaft, Institut für Angewandte Bewegungswissenschaft, Professur Sportmedizin/Sportbiologie, Technische Universität Chemnitz, Thüringer Weg 11, 09126, Chemnitz, Deutschland

    Christiane Lösch, Nico Nitzsche, Daniel Zschäbitz, Martin Weigert & Henry Schulz

  2. Department of Food, Nutrion and Sport Science Gotheburg, University of Gotheburg, Götheburg, Schweden

    Christian Maiwald

Authors
  1. Christiane Lösch
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nico Nitzsche
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Christian Maiwald
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Daniel Zschäbitz
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Martin Weigert
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Henry Schulz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christiane Lösch.

Ethics declarations

Interessenkonflikt

C. Lösch, N. Nitzsche, C. Maiwald, D. Zschäbitz, M. Weigert und H. Schulz geben an, dass kein Interessenkonflikt besteht.

Da dieser Beitrag eine von den Autoren durchgeführte Studie an Menschen beinhaltet, wurde der Untersuchungsplan durch die Ethikkommission der TU Chemnitz geprüft. Die ethischen Richtlinien wurden eingehalten. Von allen beteiligten Patienten liegt eine Einwilligungserklärung vor.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lösch, C., Nitzsche, N., Maiwald, C. et al. Visuelle Bewegungskontrolle geführter Kraftübungen bei jungen Erwachsenen und Senioren. Ger J Exerc Sport Res 48, 428–437 (2018). https://doi.org/10.1007/s12662-018-0528-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12662-018-0528-x

Schlüsselwörter

Keywords

Search

Navigation