Evidence map›Paper›PMID 35383263›Full record

ArticleScientific reports2022

A mixed-methods exploration of virtual reality as a tool to promote green exercise.

G Calogiuri, B J Keegan, S L Birkheim, T L Rydgren, O E Flaten, F Fröhlich, S Litleskare

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
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

7 authors.

G CalogiuriCenter of Health and Technology, Department of Nursing and Health Sciences, University of South-Eastern Norway, Drammen, Norway. giovanna.calogiuri@usn.no.
B J KeeganSchool of Business, Maynooth University, Maynooth, Ireland.
S L BirkheimDepartment of Health and Nursing Sciences, Inland Norway University of Applied Sciences, Elverum, Norway.
T L RydgrenDepartment of Digitalisation and Infrastructure, Inland Norway University of Applied Sciences, Elverum, Norway.
O E FlatenDepartment of Game Development - The Game School, Inland Norway University of Applied Sciences, Hamar, Norway.
F FröhlichDepartment of Game Development - The Game School, Inland Norway University of Applied Sciences, Hamar, Norway.
S LitleskareDepartment of Public Health and Sport Sciences, Inland Norway University of Applied Sciences, Elverum, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The salutogenic effects of green exercise are widely recognised, yet many individuals do not engage in this health-related behaviour. Using a convergent mixed methods approach, this study explored the impact of experiencing nature through Virtual Reality (VR) on the decision-making process relating to green exercise. Three experimental trials were conducted (overall n = 136), in which healthy adults were exposed to different VR scenarios reproducing a virtual walk in an existing urban green area. Participants reported medium-high rating of intent to visit the location. Significant pre-to-post increments in future green exercise intention were observed after the VR exposure, though a significance difference was not achieved in comparison with a control condition. Qualitative analysis revealed the impact of the VR experience on behaviour regulation, and highlighted the pivotal role of anticipated emotional benefits. Despite scepticism, the VR experience was effective in arousing curiosity to explore natural environments, which was associated with environmental perceptions as well as nostalgic and socio-cultural perspectives.

Indexed as

Virtual RealityAdultEmotionsExerciseHumansIntention

Identifiers

PMID35383263
PMCPMC8983725

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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.