Evidence map›Paper›PMID 41254294›Full record

ArticleNPJ digital medicine2025

Virtual nature, real relief: how exposure to virtual natural environments reduces anxiety, stress, and depression in healthy adults.

Lunxin Chen, Ruixiang Yan, Jialiang Yu

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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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

3 authors.

Lunxin ChenSchool of Physical Education and Sports, Central China Normal University, Wuhan, China. lunxin_chen@163.com.
Ruixiang YanSchool of Athletic Training, Guangzhou Sport University, Guangzhou, China.
Jialiang YuWuhan Sport University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stress, anxiety, and depression represent significant challenges to global public health. Exposure to virtual natural environments, as a convenient and scalable intervention, has shown uncertain effects on healthy adults. This systematic review and meta-analysis aims to comprehensively evaluate the impact of exposure to virtual natural environments on stress, anxiety, and depression in healthy adults. A total of 24 studies were included after searching five databases. The results indicate that exposure to virtual natural environments effectively reduces anxiety levels (SMD = 0.82, p < 0.001, large effect), stress levels (SMD = 0.577, p = 0.003, moderate effect), and depression levels (SMD = 0.621, p < 0.001, moderate effect) in healthy adults. These findings suggest that exposure to virtual natural environments has a positive impact on mental health and can serve as a viable alternative when direct access to natural environments is not feasible.

Identifiers

PMID41254294
PMCPMC12627821

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.