POSTURAL CONTROL IN HEALTHY YOUNG ADULTS WITH AND WITHOUT CHRONIC MOTION SENSITIVITY

Authors

  • Alyahya D Loma Linda University, School of Allied Health Professions, Department of Physical Therapy, Loma Linda California.
  • Johnson EG Loma Linda University, School of Allied Health Professions, Department of Physical Therapy, Loma Linda California.
  • Daher NS Loma Linda University, School of Allied Health Professions, Department of Allied Health Studies, Loma Linda California.
  • Gaikwad SB Loma Linda University, School of Allied Health Professions, Department of Physical Therapy, Loma Linda California.
  • Deshpande S Loma Linda University, School of Allied Health Professions, Department of Physical Therapy, Loma Linda California.

Abstract

Background: Postural control requires complex processing of peripheral sensory inputs from the visual, somatosensory and vestibular systems. Motion sensitivity and decreased postural control are influenced by visual-vestibular conflicts.The purpose of this study was to measure the difference between the postural control of healthy adults with and without history of sub-clinical chronic motion sensitivity using a computerized dynamic posturography in a virtual reality environment. Sub-clinical chronic motion sensitivity was operationally defined as a history of avoiding activities causing dizziness, nausea, imbalance, and/or blurred vision without having a related medical diagnosis.
Methods: Twenty healthy adults between 22 and 33 years of age participated in the study. Eleven subjects had sub-clinical chronic motion sensitivity and 9 subjects did not. Postural control was measured in both groups using the Bertec Balance Advantage-Dynamic Computerized Dynamic Posturography with Immersion Virtual Reality (CDP-IVR). The CDP-IVR reports an over-all equilibrium score based on subjects’ center of gravity displacement and postural sway while immersed in a virtual reality environment. Subjects were tested on stable (condition 1) and unstable (condition2) platform conditions.
Results: There was no significant difference between the two groups in terms of mean age, height, weight, body mass index in kg/m2, postural control scores for conditions 2, and average (p>0.05). However, significant differences were observed in mean postural control for condition 1 between groups (p=0.03).
Conclusions: Results of this study suggest that healthy young adults without chronic sub-clinical motion sensitivity have better postural control than those with chronic sub-clinical motion sensitivity. Further investigation is warranted to explore wider age ranges with larger samples sizes as well as intervention strategies to improve postural control.

Keywords:

Motion sensitivity, motion sickness, postural control, postural control balance, computerized dynamic posturography, virtual reality

DOI

https://doi.org/10.15621/ijphy/2016/v3i1/88898

References

1. Horak FB. Clinical Measurement of Postural Control in Adults. Phys Ther. 1987; 67(12):1881-5. 2. Massion J. Postural Control Systems in Developmental Perspective. Neurosci Biobehav Rev. 1998; 22(4):465- 72. 3. Hassan BS, Mockett S, Doherty M. Static postural Int J Physiother 2016; 3(1) Page | 4 sway, proprioception, and maximal voluntary quadriceps contraction in patients with knee osteoarthritis and normal control subjects. Ann Rheum Dis. 2001; 60(6):612-8. 4. Cobb SV. Measurement of postural stability before and after immersion in a virtual environment. Appl Ergon. 1999; 30(1):47-57. 5. Akiduki H, Nishiike S, Watanabe H, Matsuoka K, Kubo T, Takeda N. Visual-vestibular conflict induced by virtual reality in humans. Neurosci Lett. 2003; 340(3):197-200. 6. Owen N, Leadbetter AG, Yardley L. Relationship between postural control and motion sickness in healthy subjects. Brain Res Bull. 1998; 47(5):471-4. 7. Bos JE, MacKinnon SN, Patterson A. Motion sickness symptoms in a ship motion simulator: effects of inside, outside, and no view. Aviat Space Environ Med. 2005; 76(12):1111-8. 8. Hoffman HG, Patterson DR, Carrougher GJ, Sharar SR. Effectiveness of Virtual Reality–Based Pain Control With Multiple Treatments. Clin J Pain. 2001; 17(3):229-35. 9. Kennedy RS, Lilienthal MG. Implications of balance disturbances following exposure to virtual reality systems. Virtual Reality Annual International Symposium. Research Triangle Park, NC, (11-15 Mar 1995). Available at: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=512477&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D512477 10. Akizuki H, Uno A, Arai K, Morioka S, Ohyama S, Nishiike S, et al. Effects of immersion in virtual reality on postural control. Neurosci Lett. 2005; 379(1):23-6. 11. Bertec Corporation [cited 2014 April 15]. Available from: http://bertec.com/bertecbalance/our-products/ dynamic/ 12. Monsell EM, Furman JM, Herdman SJ, Konrad HR, Shepard NT. Computerized dynamic platform posturography. Otolaryngol Head Neck Surg. 1997; 117(4):394-8. 13. Palm HG, Lang P, Strobel J, Riesner HJ, Friemert B. Computerized dynamic posturography: the influence of platform stability on postural control. Am J Phys Med Rehabil. 2014; 93(1):49-55. 14. Broglio SP, Sosnoff JJ, Rosengren KS, McShane K. A comparison of balance performance: computerized dynamic posturography and a random motion platform. Arch Phys Med Rehabil. 2009; 90(1):145-50. 15. Redfern MS, Yardley L, Bronstein AM. Visual influences on balance. J Anxiety Disord. 2001; 15(1-2):81-94.

Published

07.02.2016
Statistics
Abstract Display: 624
PDF Downloads: 541

Issue

Section

Original Articles

How to Cite

POSTURAL CONTROL IN HEALTHY YOUNG ADULTS WITH AND WITHOUT CHRONIC MOTION SENSITIVITY. (2016). International Journal of Physiotherapy, 3(1), 1-4. https://doi.org/10.15621/ijphy/2016/v3i1/88898