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Virtual Reality-Based Immersive Rehabilitation for Cognitive- and Behavioral-Impairment-Related Eating Disorders: A VREHAB Framework Scoping Review

Author

Listed:
  • Bryan Pak-Hei So

    (Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
    These authors contributed equally to this work.)

  • Derek Ka-Hei Lai

    (Department of Computing, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
    These authors contributed equally to this work.)

  • Daphne Sze-Ki Cheung

    (School of Nursing, The Hong Kong Polytechnic University, Hong Kong 999077, China
    Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong 999077, China
    Centre for Gerontological Nursing, School of Nursing, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Wing-Kai Lam

    (Sports Information and External Affairs Centre, Hong Kong Sports Institute, Hong Kong 999077, China)

  • James Chung-Wai Cheung

    (Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
    Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Duo Wai-Chi Wong

    (Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

Abstract

Virtual reality (VR) technology is one of the promising directions for rehabilitation, especially cognitive rehabilitation. Previous studies demonstrated successful rehabilitation in motor, cognitive, and sensorial functions using VR. The objective of this review is to summarize the current designs and evidence on immersive rehabilitation interventions using VR on cognitive- or behavioral-related eating disorders, which was mapped using a VREHAB framework. Two authors independently searched electronic databases, including PubMed, Web of Science, Scopus, CINAHL, EMBASE, and Cochrane Library. Ten ( n = 10) articles were eligible for review. Treatments for anorexia nervosa and binge eating disorder/bulimia nervosa were reported through enhanced/experimental cognitive behavior therapy (ECT), cue exposure therapy (CET), and body exposure therapy (BET) via the virtual environment. Some studies reported that the VR effects were superior or comparable to traditional treatments, while the effects may last longer using VR technology. In addition, VR was perceived as acceptable and feasible among patients and therapists and could be valuable for supplementing existing therapies, relieving manpower and caregiver burdens. Future studies may consider incorporating haptic, smell, and biofeedback to improve the experience, and thus the effects of the treatments for the users.

Suggested Citation

  • Bryan Pak-Hei So & Derek Ka-Hei Lai & Daphne Sze-Ki Cheung & Wing-Kai Lam & James Chung-Wai Cheung & Duo Wai-Chi Wong, 2022. "Virtual Reality-Based Immersive Rehabilitation for Cognitive- and Behavioral-Impairment-Related Eating Disorders: A VREHAB Framework Scoping Review," IJERPH, MDPI, vol. 19(10), pages 1-18, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5821-:d:812494
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    Citations

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    Cited by:

    1. Bryan Pak-Hei So & Tim Tin-Chun Chan & Liangchao Liu & Calvin Chi-Kong Yip & Hyo-Jung Lim & Wing-Kai Lam & Duo Wai-Chi Wong & Daphne Sze Ki Cheung & James Chung-Wai Cheung, 2022. "Swallow Detection with Acoustics and Accelerometric-Based Wearable Technology: A Scoping Review," IJERPH, MDPI, vol. 20(1), pages 1-14, December.
    2. Hyo-Jung Lim & Derek Ka-Hei Lai & Bryan Pak-Hei So & Calvin Chi-Kong Yip & Daphne Sze Ki Cheung & James Chung-Wai Cheung & Duo Wai-Chi Wong, 2023. "A Comprehensive Assessment Protocol for Swallowing (CAPS): Paving the Way towards Computer-Aided Dysphagia Screening," IJERPH, MDPI, vol. 20(4), pages 1-9, February.
    3. Derek Ka-Hei Lai & Ethan Shiu-Wang Cheng & Bryan Pak-Hei So & Ye-Jiao Mao & Sophia Ming-Yan Cheung & Daphne Sze Ki Cheung & Duo Wai-Chi Wong & James Chung-Wai Cheung, 2023. "Transformer Models and Convolutional Networks with Different Activation Functions for Swallow Classification Using Depth Video Data," Mathematics, MDPI, vol. 11(14), pages 1-22, July.

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