THE EFFECT OF A SELF-SUPERVISION MODEL BASED ON AUTHENTIC MOVEMENT AND EPIMOTORICS’ ON EMOTION-RELATED PHYSIOLOGICAL PARAMETERS AMONG DANCE MOVEMENT THERAPISTS

Authors

  • Yifat SHALEM-ZAFARI Babeș-Bolyai University, Faculty of Physical Education and Sport, Cluj-Napoca, Romania. *Corresponding author: s.z.yifat@gmail.com
  • Emilia Florina GROSU Babeș-Bolyai University, Faculty of Physical Education and Sport, Cluj-Napoca, Romania. https://orcid.org/0000-0002-2846-9586

DOI:

https://doi.org/10.24193/subbeag.63(2).14

Keywords:

Emotion-related physiological parameter, heart rate, oxygen saturation, Pulse oximeter.

Abstract

Introduction: This is part of a larger study examining the effects of an original self-supervision model (SSM), based on Authentic Movement and Epimotorics’, on novice dance movement therapists. The larger study examines movement parameters, psychological parameters, and physiological measures, while the present study focuses on the emotion-related physiological parameters of pulse and oxygen saturation. Used regularly in medical settings, these have also been found to reliably reflect a person’s emotional state (Appelhans & Luecken, 2006; Porges, 2007; Picard, 1997). Objective: To see whether the SSM training affects participants’ pulse and oxygen saturation. The hypothesis is that there will be a decrease in pulse variables and increase in oxygen saturation after the SSM training, which would reflect lower emotional arousal and stress. Methods and Materials: Pulse oximetry was used to measure pulse and oxygen saturation. These were recorded before and after a simulation at the start of the SSM training, and before and after a simulation at the end of the training. To detect changes in pulse variables according to the time of measurement (before and after each simulation), a series of paired-samples t-tests was performed: The first series compared the ‘after’ measurements of both simulations. The second series compared the ‘before’ measurement of Simulation 1 to the ‘after’ measurement of Simulation 2. Results: The training affected all measures, showing a significant decrease in pulse variables in Simulation 2 (after) compared to the beginning of Simulation 1 (before). Conclusion: The results suggest that the SSM decreases stress, as reflected in decreased pulse variables.

References

Appelhans, B. M., & Luecken, L. J. (2006). Heart rate variability as an index of regulated emotional responding. Review of General Psychology, 10(3), 221–240.

Aweto, H. A., Owoeye, O. B., Akinbo, S. R., & Onabajo, A. A. (2012). Effects of dance movement therapy on selected cardiovascular parameters and estimated maximum oxygen consumption in hypertensive patients. Nigerian Quarterly Journal of Hospital Medicine, 22(2), 125-129.

Brand, T., Brand, M., & Jay, G. (2002). Enamel nail polish does not interfere with pulse oximetry among normoxic volunteers. Journal of clinical monitoring and computing, 17(2), 93–96.

Brown, S. (2017). Using Music Intervention Therapy to Reduce Anxiety and Agitation for Dementia Residents in Long Term Setting (D.N.P.). Walden University, United States -- Minnesota.

Cahill, S., & Egan, B. (2017). Perceptions of occupational therapy involvement in school mental health: A pilot study. The Open Journal of Occupational Therapy, 5(1). Retrieved from https://doi.org/10.15453/2168-6408.1281

Calderón, O. (2016). Oximetry: a reflective tool for the detection of physiological expression of emotions in a science education classroom. Cultural Studies of Science Education, 11(3), 653-667.

Clarke, G. W., Chan, A. D., & Adler, A. (2014). Effects of motion artifact on the blood oxygen saturation estimate in pulse oximetry. Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium, 1-4.

Davila, M. I., Lewis, G. F., & Porges, S. W. (2017). The Physiocam: a novel non-contact sensor to measure heart rate variability in clinical and field applications. Frontiers in Public Health, 5.

De Winter, J. C. (2013). Using the Student’s t-test with extremely small sample sizes. Practical Assessment, Research & Evaluation, 18(10).

Harrison, N. A., Gray, M. A., Gianaros, P. J., & Critchley, H. D. (2010). The embodiment of emotional feelings in the brain. Journal of Neuroscience, 30(38), 12878–12884.

Mengelkoch, L. J., Martin, D., & Lawler, J. (1994). A review of the principles of pulse oximetry and accuracy of pulse oximeter estimates during exercise. Physical therapy, 74(1), 40-49.

Picard, R. (1997). Affective Computing. London: MIT Press.

Porges, S. (2007). The polyvagal perspective. Biological Perspective, 74(2), 116-143.

Tiwari, N., Tiwari, S., Thakur, R., Agrawal, N., Shashikiran, N. D., & Singla, S. (2015). Evaluation of treatment related fear using a newly developed fear scale for children: “Fear assessment picture scale” and its association with physiological response. Contemporary Clinical Dentistry, 6(3), 327.

Tusman, G., Bohm, S. H., & Suarez-Sipmann, F. (2017). Advanced uses of pulse oximetry for monitoring mechanically ventilated patients. Anesthesia & Analgesia, 124(1), 62-71.

Watkins, E. (1997). Handbook of Psychotherapy Supervision. New York: John Wiley and Sons, Inc.

Downloads

Published

2018-06-30

How to Cite

SHALEM-ZAFARI, Y., & GROSU, E. F. (2018). THE EFFECT OF A SELF-SUPERVISION MODEL BASED ON AUTHENTIC MOVEMENT AND EPIMOTORICS’ ON EMOTION-RELATED PHYSIOLOGICAL PARAMETERS AMONG DANCE MOVEMENT THERAPISTS. Studia Universitatis Babeș-Bolyai Educatio Artis Gymnasticae, 63(2), 55–63. https://doi.org/10.24193/subbeag.63(2).14

Issue

Section

Articles

Most read articles by the same author(s)

1 2 > >>