Acta Univ. Palacki. Olomuc., Gymn. 2013 43(3): 7-15 | DOI: 10.5507/ag.2013.013

Test-retest reliability of the net joint power transferred by the lower limbs during walking in healthy men

Daniel Jandačka1, Jaroslav Uchytil1, Zdeněk Svoboda2, Milan Elfmark2, Miroslav Janura2
1 Human Motion Diagnostic Center, University of Ostrava, Ostrava
2 Faculty of Physical Culture, Palacky University, Olomouc

Objective: To determine the reliability of the measurement of net joint power during repeated gait measurements within one day and between two different measurement days.

Methods: Thirty able-bodied men who underwent repeated gait measurements within a day and between days participated in this research. An acceptable trial was one in which the participant complied with the range of walking speed 1.45 m/s ± 5%. Three-dimensional angles, angular velocities, net moments of force and net power for the ankle, knee and hip joints were determined using external passive reflective markers, an 8-camera motion analysis system and two force plates.

Results: This study presents the patterns of the net power in the fundamental joints of the lower limbs in young healthy men at standard gait velocity. Intraclass correlation coefficients for net joint power measure reached values in the range of .70 to .89 on the first day, from .69 to .86 on the second day, and from .67 to .83 in total.

Conclusion: The reliability of the measurement of the peak net joint power within one day and between the two measurement days was evaluated as satisfactory. The study provides the value of minimal detectable change for the peak net power of the lower limb in the sagittal plane during gait. The net joint power appears to be a reliable measure and could be used in practice.

Keywords: Motion analysis, inverse dynamics, intraclass correlation, error of measurement, minimal detectable change

Prepublished online: September 30, 2013; Published: June 1, 2013  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Jandačka, D., Uchytil, J., Svoboda, Z., Elfmark, M., & Janura, M. (2013). Test-retest reliability of the net joint power transferred by the lower limbs during walking in healthy men. Acta Universitatis Palackianae Olomucensis. Gymnica, 43(3), 7-15. doi: 10.5507/ag.2013.013
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Bartlett, R., Wheat, J., & Robins, M. (2007). Is movement variability important for sports biomechanists? Sports Biomechanics, 6(2), 224-243. Go to original source... Go to PubMed...
    2. Bazzocchi, A., Diano, D., Ponti, F., Andreone, A., Sassi, C., Albisinni, U., … Battista, G. (2012). Health and ageing: A cross-sectional study of body composition. Clinical Nutrition, 32(4), 569-578. Go to original source... Go to PubMed...
    3. Cappozzo, A., Croce, U. D., Leardini, A., & Chiari, L. (2005). Human movement analysis using stereophotogrammetry (part 1): Theoretical background. Gait & Posture, 21(2), 186-196. Go to original source... Go to PubMed...
    4. Chang, R., Davis, I. S., & Hamill, J. (2007). Rearfoot norms in a young, healthy population. Journal of Biomechanics, 40(2), 492. Go to original source...
    5. Chen, I. H., Kuo, K. N., & Andriacchi, T. P. (1997). The influence of walking speed on mechanical joint power during gait. Gait & Posture, 3, 171-176. Go to original source...
    6. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.
    7. Grood, E., & Suntay, W. (1983). A joint coordinate system for the clinical description of three-dimensional motions: Application to the knee. Journal of Biomechanical Engineering, 105(2), 136-144. Go to original source... Go to PubMed...
    8. Haley, S. M., & Fragala-Pinkham, M. A. (2006). Interpreting change scores of tests and measures used in physical therapy. Physical Therapy, 86(5), 735-743. Go to original source... Go to PubMed...
    9. Hamill, J., van Emmerik, R. E., Heiderscheit, B. C., & Li, L. (1999). A dynamical systems approach to lower extremity running injuries. Clinical Biomechanics, 14, 297-308. Go to original source... Go to PubMed...
    10. Hanavan, E. P. (1964). A mathematical model of the human body. Wright-Patterson Air Force Base, OH: Aerospace Medical Research Laboratory.
    11. Hopkins, W. G. (2000). Measures of reliability in sports medicine and science. Sports Medicine, 30(1), 1-15. Go to original source... Go to PubMed...
    12. Hopkins, W. G. (2006). Estimating sample size for magnitude-based inferences. Sportscience, 10, 63-70.
    13. Jandačka, D., Zahradník, D., Foldyna, K., & Hamill, J. (2013). Running biomechanics in a long-term monitored recreational athlete with a history of Achilles tendon rupture. British Medical Journal Case Reports, 1-10. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/23362072 Go to original source... Go to PubMed...
    14. Kirtley, C. (2006). Clinical gait analysis. London: Churchill Livingstone. Go to original source...
    15. Leardini, A., Chiari, L., Croce, U. D., & Cappozzo, A. (2005). Human movement analysis using stereophotogrammetry (part 3): Soft tissue artifact assessment and compensation. Gait & Posture, 21(2), 212-225. Go to original source...
    16. Manal, K., McClay, I., Stanhope, S., Richards, J., & Galinat, B. (2000). Comparison of surface mounted markers and attachment methods in estimating tibial rotations during walking: An in vivo study. Gait & Posture, 11(1), 38-45. Go to original source...
    17. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.
    18. Õunpuu, S., Davis, R. B., & DeLuca, P. A. (1996). Joint kinetics: Methods, interpretation and treatment decision-making in children with cerebral palsy and myelomeningocele. Gait & Posture, 4(1), 62-78. Go to original source...
    19. Perry, J. (1992). Gait analysis: Normal and pathological function. Thorofare, NJ: SLACK Incorporated. Go to original source...
    20. Sadeghi, H., Allard, P., & Duhaime, M. (1997). Functional gait asymmetry in able-bodied subjects. Human Movement Science, 16, 243-258. Go to original source...
    21. Sadeghi, H., Allard, P., Prince, F., & Labelle, H. (2000). Symmetry and limb dominance in able-bodied gait: A review. Gait & Posture, 12(1), 34-45. Go to original source...
    22. Seeley, M. K., Umberger, B. R., & Shapiro, R. (2008). A test of the functional asymmetry hypothesis in walking. Gait & Posture, 28, 24-28. Go to original source...
    23. Stanhope, S. J., Kepple, T. M., McGuire, D. A., & Roman, N. L. (1990). A kinematic-based technique for event time determination during gait. Medical and Biological Engineering and Computing, 28, 355-360. Go to original source... Go to PubMed...
    24. Svoboda, Z., Janura, M., Cabell, L., & Elfmark, M. (2012). Variability of kinetic variables during gait in unilateral transtibial amputees. Prosthetics and Orthotics International, 36(2), 225-230. Go to original source... Go to PubMed...
    25. Whittle, M. W. (2007). Gait analysis: An introduction. Philadelphia: Elsevier. Go to original source...
    26. WHO. (1998). Obesity: Preventing and managing the global epidemic. In Report of a World Health Organization consultation on obesity. Geneva: World Health Organization.
    27. Wilken, J. M., Rodriguez, K. M., Brawner, M., & Darter, B. J. (2012). Reliability and minimal detectible change values for gait kinematics and kinetics in healthy adults. Gait Posture, 35(2), 301-307. Go to original source... Go to PubMed...
    28. Winter, D., Aftab, E. P., James, S. F., & Sharon, E. W. (1990). Biomechanical walking pattern changes in the fit and healthy elderly. Physical Therapy, 70(6), 340-347. Go to original source... Go to PubMed...

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content