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P86: Effect of Virtual Reality on Stress Reduction and Change of Physiological Parameters Including Heart Rate Variability in People With High Stress: An Open Randomized Crossover Trial

Published online by Cambridge University Press:  02 February 2024

Jiwon Shin
Affiliation:
Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
Hyewon Kim
Affiliation:
Department of Psychiatry, Hanyang University Medical Center, Seoul, South Korea
Dong Jun Kim
Affiliation:
Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea Department of Health Sciences and Technology, Department of Medical Device Management and Research, and Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
Seonwoo Kim
Affiliation:
Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
Won Ho Chung
Affiliation:
Department of Otorhinolaryngology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
Kyung-Ah Park
Affiliation:
Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
James D. K. Kim
Affiliation:
AR Lab, Samsung Research, Samsung Electronics Co., Ltd, Seoul, South Korea
Dowan Kim
Affiliation:
Advanced Solution Team, Samsung Research, Samsung Electronics Co., Ltd, Seoul, South Korea
Min Ji Kim
Affiliation:
Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
Kiwon Kim
Affiliation:
Department of Psychiatry, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea
Hong Jin Jeon
Affiliation:
Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea Department of Health Sciences and Technology, Department of Medical Device Management and Research, and Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
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Abstract

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Introduction:

Although, attempts to apply virtual reality (VR) in mental healthcare are rapidly increasing, it is still unclear whether VR relaxation can reduce stress more than conventional biofeedback.

Methods:

Participants consisted of 83 healthy adult volunteers with high stress, which was defined as a score of 20 or more on the Perceived Stress Scale-10 (PSS-10). This study used an open, randomized, crossover design with baseline, stress, and relaxation phases. During the stress phase, participants experienced an intentionally generated shaking VR and serial-7 subtraction. For the relaxation phase, participants underwent a randomly assigned relaxation session on day 1 among VR relaxation and biofeedack, and the other type of relaxation session was applied on day 2. We compared the StateTrait Anxiety Inventory-X1 (STAI-X1), STAI-X2, the Numeric Rating Scale (NRS), and physiological parameters including heart rate variability (HRV) indexes in the stress and relaxation phases.

Results:

A total of 74 participants were included in the analyses. The median age of participants was 39 years, STAI-X1 was 47.27 (SD = 9.92), and NRS was 55.51 (SD = 24.48) at baseline. VR and biofeedback significantly decreased STAI-X1 and NRS from the stress phase to the relaxation phase, while the difference of effect between VR and biofeedback was not significant. However, there was a significant difference in electromyography, LF/HF ratio, LF total, and NN50 between VR relaxation and biofeedback

Conclusion:

VR relaxation was effective in reducing subjectively reported stress in individuals with high stress.

Type
Posters
Copyright
© International Psychogeriatric Association 2024