The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
The effectiveness of immersive virtual reality (VR) based mindfulness training on improvement mental-health in adults: A narrative systematic review
Open accessAbstract
OBJECTIVE: In recent years, digital techniques, such as virtual reality (VR) has been employed in tandem with more traditional psychological interventions. The aim of this study is to investigate whether VR-based mindfulness training can improve mental health outcomes, and notably mindfulness levels amongst adults. In addition, this review seeks to summarise the various designed VR scenarios, as well as those elements around VR that may assist people in practising mindfulness and meditation. METHODS: The search for eligible studies for inclusion was conducted via the following databases: the Applied Social Science Index & Abstract (ASSIA), PsychINFO, Medline, EMBASE, and the Web-of-Science Core Collection. Only experimental studies were eligible for inclusion, and specifically, those that compared the effectiveness of mindfulness training using immersive VR (on the one hand) with a control condition. RESULTS: This search generated 2523 articles published between 2016 and 2022, and of these, 106 were assessed for eligibility. This review included seven studies, with a collective total of 798 participants. VR-based mindfulness training has been shown to be more effective than conventional mindfulness - it improves levels of mindfulness and meditation experience; but also shown to reduce anxiety, depression, improve sleep quality, emotion regulation, and generate mood improvement. VR-based mindfulness training frequently contains natural 'environmentally relevant' elements, such as forest, grassland, caves, sea, etc. CONCLUSIONS: This review suggests that using VR to assist mindfulness training is an effective and innovative way to improve mental health conditions within the adult population. Further directions and limitations are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Indeed, compared with non–VR mindfulness, reported benefits have included improved adherence [26,27] and mindfulness [27].”
From Examining the Use of Virtual Reality to Support Mindfulness Skills Practice in Mood and Anxiety Disorders: Mixed Methods Study (2024) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Rayyan-a web and mobile app for systematic reviews.
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0384-4 · Cited by 26,092
The benefits of being present: Mindfulness and its role in psychological well-being
Brown, K. W., & Ryan, R. M. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.4.822 · Cited by 13,448
Mindfulness-based interventions in context: Past, present, and future
Kabat-Zinn, J. (2003) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy.bpg016 · Cited by 8,615
Mindfulness-based interventions in context: Past, present, and future.
Kabat-Zinn, J. (2003) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy/bpg016 · Cited by 8,612
Mindfulness training as a clinical intervention: a conceptual and empirical review
Baer, R. A. (2003) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy.bpg015 · Cited by 4,577
Mindfulness training as a clinical intervention: A conceptual and empirical review.
Baer, R. A. (2003) · Clinical Psychology: Science and Practice · doi:10.1093/clipsy/bpg015 · Cited by 4,576
Systematic reviews: CRD's guidance for undertaking reviews in health care
Tacconelli, E. (2010) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(10)70065-7 · Cited by 3,270
Baer, R. A., Smith, G. T., Lykins, E., Button, D., Krietemeyer, J., Sauer, S., Walsh, E., Duggan, D., & Williams, J. M. G. (2008) · Assessment · doi:10.1177/1073191107313003 · Cited by 2,930
Mindfulness-based stress reduction for healthy individuals: A meta-analysis
Khoury, B., Sharma, M., Rush, S. E., & Fournier, C. (2015) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2015.03.009 · Cited by 1,617
Goldin, P. R., & Gross, J. J. (2010) · Emotion · doi:10.1037/a0018441 · Cited by 1,242
Research works printed but not linked: 2
- J. D. Teasdale and Z. V. Segal, The Mindful way Through Depression: Freeing Yourself from Chronic Unhappiness. New York: The Guilford Press, 2007.
- R. Kaplan and S. Kaplan, The Experience of Nature: A Psychological Perspective. Cambridge: Cambridge University Press, 1995.
Cited by
Sorted by citations
Spiegel, B. M. R., Liran, O., Clark, A., Samaan, J. S., Khalil, C., Chernoff, R. A., Reddy, K., & Mehra, M. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01011-0 · Cited by 60
Kühne, C., Kecelioglu, E. D., Maltby, S., Hood, R. J., Knott, B., Ditton, E., Walker, F. R., & Kluge, M. G. (2023) · Frontiers in Virtual Reality · doi:10.3389/frvir.2023.1211001 · Cited by 66
Restout, J., Bernache‐Assollant, I., Morizio, C., Boujut, A., Angelini, L., Tchalla, A. E., & Perrochon, A. (2023) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2022.12.026 · Cited by 57
Zheng, L., Li, W., Song, S., Xiao, X., Low, S. R., Zhang, Y., Yu, X., & Peng, Y. (2024) · Mindfulness · doi:10.1007/s12671-024-02335-4 · Cited by 32
ARCADIA: A Gamified Mixed Reality System for Emotional Regulation and Self-Compassion
Soler-Dominguez, J. L., Medrano, S. N., & Pons, P. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642123 · Cited by 33
Metadata
- Authors
- Ma, J., Zhao, D., Xu, N., & Yang, J.
- Affiliations
- University of Edinburgh (GB)
- Corresponding author
- Yang, Jinmei
- Venue
- EXPLORE
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 19
- Issue
- 3
- Pages
- 310-318
- ISSN
- 1550-8307 (ISSN-L)
- OpenAlex
- W4289831924
- Cited by
- 176
- References
- 47
- Citations by year
- 2026: 48 · 2025: 60 · 2024: 44 · 2023: 20
- FWCI
- 5.32
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- EXPLORE (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Lanzhou Science and Technology Bureau (2019-RC-66)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- immersive virtual reality, mindfulness training, mental health, anxiety, depression, sleep quality, emotion regulation, mood improvement, meditation, digital psychological interventions, adults
- MeSH terms
- Virtual Reality, Adult, Anxiety, Humans, Mental Health, Meditation, Mindfulness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review