Evidence map›Paper›PMID 42703345›Full record

ReviewDigital health

The effects of virtual reality interventions on depression and anxiety in older adults during and after the COVID-19 pandemic: A meta-analysis.

Xiuchuan He, Jingying Xie, Xiaoyang Yang, YingQun Zhou

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiuchuan HeDesign and Art School, Shanghai Dianji University, Shanghai, China.
Jingying XieDesign and Art School, Shanghai Dianji University, Shanghai, China.ORCID https://orcid.org/0009-0002-6034-2048
Xiaoyang YangSchool of Fine Arts & Design, Guangzhou University, Guangzhou, Guangdong, China.
YingQun ZhouDepartment of Psychological Counseling, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to systematically evaluate, through a meta-analysis, the effects of Virtual Reality (VR) interventions on depression and anxiety levels among older adults during and after the COVID-19 pandemic, and to explore variations in the effectiveness of VR interventions under different conditions. Method: Databases including PubMed, Embase, Web of Science, the Cochrane Library, CINAHL, PsycINFO, CNKI, and Wanfang Data were searched. Studies were screened according to predefined inclusion criteria, and data on study characteristics and intervention outcomes were extracted. The quality of the included studies was assessed using the appropriate risk of bias tools, and meta-analysis was performed using Review Manager (RevMan) version 5.4.1 and Comprehensive Meta-Analysis (CMA) software. Results: A total of 12 studies involving 724 older adults aged 60 years and above were included. Compared with control conditions, VR interventions significantly reduced symptoms of depression and anxiety among older adults. Exploratory subgroup analyses indicated that fully immersive VR was associated with a more pronounced pooled effect than semi- and low-immersive VR. Both shorter (<6 weeks) and longer (≥6 weeks) VR interventions were associated with significant improvements in anxiety and depressive symptoms, with no statistically significant difference between the duration subgroups. Conclusion: During and after the COVID-19 pandemic, VR interventions may represent a promising complementary non-pharmacological approach for improving depressive and anxiety symptoms among older adults. Exploratory findings suggest that immersion level may contribute to variability in intervention effects; however, these findings should be interpreted cautiously given the limited available evidence. Further high-quality, large-sample randomized controlled trials (RCTs) are needed to clarify the potential influence of intervention characteristics on VR efficacy.

Indexed as

anxietyCOVID-19depressionmeta-analysisolder adultsvirtual reality

Identifiers

PMID42703345
PMCPMC13546474

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.