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P201: Effect of Virtual Reality-based Biofeedback in Highly Stressed People

Published online by Cambridge University Press:  02 February 2024

Yaehee Cho
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
Min Ji Kim
Affiliation:
Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, 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, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea

Abstract

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Objective:

Virtual Reality (VR)-based Biofeedback (BF), a relatively new intervention, is rapidly increasing for the treatment of mood disorders. However, research on whether VR-based BF is more effective than traditional BF is still lacking.

Methods:

A total of 131 adults from the community enrolled in the study. Participants scored ≥10 on Patient Health Questionnaire-9 (PHQ-9) or ≥9 on Panic Disorder Severity Scale (PDSS) were randomly assigned to VR or BF group. Those who have not met the criteria of PHQ-9 and PDSS were classified as the control group. All participants visited three times across 3 months and received either VR-based or conventional BF intervention. The control group received the same treatment as the VR group. Also, on each visit, the participants completed Montgomery-Asberg Depression Rating Scale (MADRS), State-Trait Anxiety Inventory (STAI), and Visual Analogue Scale (VAS).

Results:

The analysis included 118 participants in total (VR: 40, BF: 38, Control: 40). There was no significant difference in demographic variables among the 3 groups. After the treatment, VR and BF groups exhibited significant decreases in MADRS, PHQ-9, STAI, and VAS compared to the baseline within each group (p<0.005). Importantly, compared to the BF group, the VR group showed a significantly greater decrease in STAI (p<0.05). Further analyses revealed that scores of MADRD, PHQ-9, STAI, and VAS also significantly decreased in highly stressed group compared to the control group.

Conclusion:

Findings suggest that the application of VR-based BF was effective in reducing anxiety and depressive symptoms in highly stressed people. Compared to conventional BF, VR-based BF can be a cost-effective treatment option especially for relieving anxiety.

Type
Posters
Copyright
© International Psychogeriatric Association 2024