Skip to main content
Log in

Vascular Occlusion Affects Gait Variability Patterns of Healthy Younger and Older Individuals

  • Published:
Annals of Biomedical Engineering Aims and scope Submit manuscript

Abstract

Insufficient blood flow is one possible mechanism contributing to altered gait patterns in lower extremity peripheral arterial disease (PAD). Previously, our laboratory found that induced occlusion alters gait variability patterns in healthy young individuals. However the effect of age was not explored. The purpose of this study was to account for age by investigating gait variability following induced vascular occlusion in healthy older individuals and to identify amount of change from baseline to post vascular occlusion between younger and older individuals. Thirty healthy younger individuals and 30 healthy older individuals walked on a treadmill during baseline and post vascular occlusion conditions while lower extremity joint kinematics were captured. Vascular occlusion was induced by thigh cuffs inflated bilaterally on the upper thighs. Amount and temporal structure of gait variability was assessed. Older individuals exhibited significantly increased values of temporal structure of variability post vascular occlusion. Post vascular occlusion values were similar between younger and older individuals after adjusting for baseline measurements. Results show blood flow contributes to altered gait variability. However alterations were less severe than previously documented in symptomatic PAD patients, suggesting that neuromuscular problems in the lower extremities of PAD patients also contribute to gait alterations in these patients.

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

Access this article

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

Instant access to the full article PDF.

Figure 1

Similar content being viewed by others

References

  1. Abarbanel, H. D. I. Analysis of Observed Chaotic Data. New York: Springer, 1996.

    Book  Google Scholar 

  2. American Heart Association, American Stroke Association. Heart Disease and Stoke Statistics. Dallas, TX, 2007.

  3. Barrett, R., M. V. Noordegraaf, and S. Morrison. Gender differences in the variability of lower extremity kinematics during treadmill locomotion. J. Mot. Behav. 40(1):62–70, 2008.

    Article  PubMed  Google Scholar 

  4. Brach, J. S., J. E. Berlin, J. M. VanSwearingen, A. B. Newman, and S. A. Studenski. Too much or too little step width variability is associated with a fall history in older persons who walk at or near normal gait speed. J. Neuroeng. Rehabil. 26(2):21, 2005.

    Article  Google Scholar 

  5. Brass, E. P., and W. R. Hiatt. Acquired skeletal muscle metabolic myopathy in atherosclerotic peripheral arterial disease. Vasc. Med. 5(1):55–59, 2000.

    Article  PubMed  CAS  Google Scholar 

  6. Buzzi, U. H., N. Stergiou, M. J. Kurz, P. A. Hageman, and J. Heidel. Nonlinear dynamics indicates aging affects variability during gait. Clin. Biomech. (Bristol, Avon). 18(5):435–443, 2003.

    Article  PubMed  Google Scholar 

  7. Chen, S. J., I. I. Pipinos, J. M. Johanning, M. Radovic, J. M. Huisinga, S. A. Myers, et al. Bilateral intermittent claudication results in alterations in the gait biomechanics at the hip and ankle joints during gait. J. Biomech. 41(11):2506–2514, 2008.

    Article  PubMed  Google Scholar 

  8. Cignetti, F., F. Schena, and A. Rouard. Effects of fatigue on inter-cycle variability in cross-country skiing. J. Biomech. 42(10):1452–1459, 2009.

    Article  PubMed  CAS  Google Scholar 

  9. DeGoede, K. M., J. A. Ashton-Miller, and A. B. Schultz. Fall-related upper body injuries in the older adult: a review of the biomechanical issues. J. Biomech. 36(7):1043–1045, 2003.

    Article  PubMed  CAS  Google Scholar 

  10. Diener, H. C., J. Dichgans, B. Guschlbauer, and H. Mau. The significance of proprioception on postural stabilization as assessed by ischemia. Brain Res. 296(1):103–109, 1984.

    Article  PubMed  CAS  Google Scholar 

  11. Gardner, A. W., and P. S. Montgomery. The relationship between history of falling and physical function in subjects with peripheral arterial disease. Vasc. Med. 6(4):223–227, 2001.

    Article  PubMed  CAS  Google Scholar 

  12. Hausdorff, J. M. Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking. Hum. Mov. Sci. 26(4):555–589, 2007.

    Article  PubMed  Google Scholar 

  13. Hausdorff, J. M., H. K. Edelberg, M. E. Cudkowicz, M. A. Singh, and J. Y. Wei. The relationship between gait changes and falls. J. Am. Geriatr. Soc. 45(11):1406, 1997.

    PubMed  CAS  Google Scholar 

  14. Hausdorff, J. M., H. K. Edelberg, S. L. Mitchell, A. L. Goldberger, and J. Y. Wei. Increased gait unsteadiness in community-dwelling elderly fallers. Arch. Phys. Med. Rehabil. 78(3):278–283, 1997.

    Article  PubMed  CAS  Google Scholar 

  15. Jordan, K., J. H. Challis, J. P. Cusumano, and K. M. Newell. Stability and the time-dependent structure of gait variability in walking and running. Hum. Mov. Sci. 28(1):113–128, 2009.

    Article  PubMed  Google Scholar 

  16. Jordan, K., J. H. Challis, and K. M. Newell. Walking speed influences on gait cycle variability. Gait Posture. 26(1):128–134, 2007.

    Article  PubMed  Google Scholar 

  17. Jordan, K., J. H. Challis, and K. M. Newell. Speed influences on the scaling behavior of gait cycle fluctuations during treadmill running. Hum. Mov. Sci. 26(1):87–102, 2007.

    Article  PubMed  Google Scholar 

  18. Jordan, K., and K. M. Newell. The structure of variability in human walking and running is speed-dependent. Exerc. Sport Sci. Rev. 36(4):200–204, 2008.

    Article  PubMed  Google Scholar 

  19. Kantz, H., and S. Schreiber. Nonlinear Time Series Analysis (2nd ed.). Cambridge: Cambridge University Press, 2004.

    Google Scholar 

  20. Kjaer, M., F. Pott, T. Mohr, P. Linkis, P. Tornoe, and N. H. Secher. Heart rate during exercise with leg vascular occlusion in spinal cord-injured humans. J. Appl. Physiol. 86(3):806–811, 1999.

    PubMed  CAS  Google Scholar 

  21. Koutakis, P., I. I. Pipinos, S. A. Myers, N. Stergiou, T. G. Lynch, and J. M. Johanning. Joint torques and powers are reduced during ambulation for both limbs in patients with unilateral claudication. J. Vasc. Surg. 51(1):80–88, 2010.

    Article  PubMed  Google Scholar 

  22. Kurz, M. J., and N. Stergiou. The aging human neuromuscular system expresses less certainty for selecting joint kinematics during gait. Neurosci. Lett. 348(3):155–158, 2003.

    Article  PubMed  CAS  Google Scholar 

  23. Kurz, M. J., N. Stergiou, J. Heidel, and E. T. Foster. A template for the exploration of chaotic locomotive patterns. Chaos Solitons Fractals 23:485–493, 2005.

    Article  Google Scholar 

  24. Maki, B. E. Gait changes in older adults: predictors of falls or indicators of fear. J. Am. Geriatr. Soc. 45(3):313–320, 1997.

    PubMed  CAS  Google Scholar 

  25. Mees, A., and K. Judd. Dangers of geometric filtering. Physica D 68:427–436, 1993.

    Article  Google Scholar 

  26. Miller, D. J., N. Stergiou, and M. J. Kurz. An improved surrogate method for detecting the presence of chaos in gait. J. Biomech. 39(15):2873–2876, 2006.

    Article  PubMed  Google Scholar 

  27. Myers, S. A., J. M. Johanning, N. Stergiou, R. I. Celis, L. Robinson, and I. I. Pipinos. Gait variability is altered in patients with peripheral arterial disease. J. Vasc. Surg. 49(4):924.e1–931.e1, 2009.

    Article  Google Scholar 

  28. Myers, S., J. Johanning, N. Stergiou, and I. Pipinos. Gait variability of peripheral arterial disease patients is similar before and after the onset of claudication pain. Clin. Biomech. 26(7):729–734, 2011.

    Article  Google Scholar 

  29. Myers, S. A., N. Stergiou, I. I. Pipinos, and J. M. Johanning. Gait variability patterns are altered in healthy young individuals during the acute reperfusion phase of ischemia-reperfusion. J. Surg. Res. 164(1):6–12, 2010.

    Article  PubMed  Google Scholar 

  30. Nicoloff, A. D., L. M. Taylor, Jr., R. B. McLafferty, G. L. Moneta, and J. M. Porter. Patient recovery after infrainguinal bypass grafting for limb salvage. J. Vasc. Surg. 27(2):256–263, 1998; discussion 264–266.

    Article  PubMed  CAS  Google Scholar 

  31. Pincus, S. M. Approximate entropy (ApEn) as a regularity measure. In: Applications of Nonlinear Dynamics to Developmental Process Modeling, edited by K. M. Newell, and P. C. M. Molenaar. Mahwah, NJ: Lawrence Erlbaum Associates, 1998, pp. 243–268.

    Google Scholar 

  32. Pincus, S. M. Irregularity and asynchrony in biologic network signals. Methods Enzymol. 321:149–182, 2000.

    Article  PubMed  CAS  Google Scholar 

  33. Pincus, S. M., I. M. Gladstone, and R. A. Ehrenkranz. A regularity statistic for medical data analysis. J. Clin. Monit. 7(4):335–345, 1991.

    Article  PubMed  CAS  Google Scholar 

  34. Pincus, S. M., and A. L. Goldberger. Physiological time-series analysis: what does regularity quantify? Am. J. Physiol. 266((4 Pt 2)):H1643–H1656, 1994.

    PubMed  CAS  Google Scholar 

  35. Pipinos, I. I., A. R. Judge, J. T. Selsby, Z. Zhu, S. A. Swanson, A. A. Nella, et al. The myopathy of peripheral arterial occlusive disease: Part 2. Oxidative stress, neuropathy, and shift in muscle fiber type. Vasc. Endovasc. Surg. 42(2):101–112, 2008.

    Article  Google Scholar 

  36. Pipinos, I. I., A. R. Judge, Z. Zhu, J. T. Selsby, S. A. Swanson, J. M. Johanning, et al. Mitochondrial defects and oxidative damage in patients with peripheral arterial disease. Free Radic. Biol. Med. 41(2):262–269, 2006.

    Article  PubMed  CAS  Google Scholar 

  37. Sekiya, N., H. Nagasaki, H. Ito, and T. Furuna. Optimal walking in terms of variability in step length. J. Orthop. Sports Phys. Ther. 26(5):266–272, 1997.

    PubMed  CAS  Google Scholar 

  38. Small, M., D. Yu, and R. G. Harrison. Surrogate test for pseudoperiodic time series data. Phys. Rev. Lett. 87(18):188101, 2001. http://link.aps.org/abstract/PRL/v87/e188101.

    Google Scholar 

  39. Sprott, J., and G. Rowlands. Chaos Data Analyzer: The Professional Version. Raleigh, NC: Physics Academic Software, 1992.

  40. Stergiou, N., U. H. Buzzi, M. J. Kurz, and J. Heidel. Nonlinear tools in human movement. In: Innovative Analysis of Human Movement, edited by N. Stergiou. Champaign, IL: Human Kinetics, 2004, pp. 63–90.

    Google Scholar 

  41. Stergiou, N., and L. M. Decker. Human movement variability, nonlinear dynamics, and pathology: is there a connection? Hum. Mov. Sci. 30(5):869–888, 2011.

    Article  PubMed  Google Scholar 

  42. Stergiou, N., R. Harbourne, and J. Cavanaugh. Optimal movement variability: a new theoretical perspective for neurologic physical therapy. J. Neurol. Phys. Ther. 30(3):120–129, 2006.

    PubMed  Google Scholar 

  43. Tokizawa, K., M. Mizuno, Y. Nakamura, and I. Muraoka. Venous occlusion to the lower limb attenuates vasoconstriction in the nonexercised limb during posthandgrip muscle ischemia. J. Appl. Physiol. 96(3):981–984, 2004.

    Article  PubMed  CAS  Google Scholar 

  44. Toursarkissian, B., P. K. Shireman, A. Harrison, M. D’Ayala, J. Schoolfield, and M. T. Sykes. Major lower-extremity amputation: contemporary experience in a single veterans affairs institution. Am. Surg. 68(7):606–610, 2002.

    PubMed  Google Scholar 

  45. Vaughan, C., B. Davis, and J. O’Connor. Dynamics of Human Gait. Cape Town: Kiboho Publishers, 1999.

    Google Scholar 

  46. Weber, F., and A. Ziegler. Axonal neuropathy in chronic peripheral arterial occlusive disease. Muscle Nerve 26(4):471–476, 2002.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

Funding for this work was provided by the American Society of Biomechanics, the American Alliance for Health, Physical Education, Recreation, and Dance Research Grant program, the National Institute on Aging (F31AG032788), the NASA Nebraska Space Grant Fellowship (to SM), and the National Heart Lung and Blood Institute/National Institute on Aging (R01AG034995 to IP).

Conflict of interest

No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sara A. Myers.

Additional information

Associate Editor Dan Elson oversaw the review of this article.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Myers, S.A., Johanning, J.M., Pipinos, I.I. et al. Vascular Occlusion Affects Gait Variability Patterns of Healthy Younger and Older Individuals. Ann Biomed Eng 41, 1692–1702 (2013). https://doi.org/10.1007/s10439-012-0667-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10439-012-0667-4

Keywords

Navigation