Evidence map›Paper›PMID 27540446›Full record

ArticleJournal of virtual worlds research

Virtual worlds as a tool to facilitate weight management for young people.

Michael Taylor, Dave Taylor, Myutan Kulendran, Paul Gately, Ara Darzi

Abstract read
In one paragraph

Article in Journal of virtual worlds research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Michael TaylorDivision of Surgery, Department of Surgery and Cancer Imperial College London, United Kingdom; CLAHRC for North West London.
Dave TaylorDivision of Surgery, Department of Surgery and Cancer Imperial College London, United Kingdom.
Myutan KulendranDivision of Surgery, Department of Surgery and Cancer Imperial College London, United Kingdom.
Paul GatelyDivision of Surgery, Department of Surgery and Cancer Imperial College London, United Kingdom; Leeds Metropolitan University.
Ara DarziDivision of Surgery, Department of Surgery and Cancer Imperial College London, United Kingdom.

Funding

Department of Health NWLCLAHRC-2008-1
6 · The paper itself

Abstract

Childhood obesity is a serious problem in the UK, with around 20% of children aged 10-11 being overweight or obese. Lifestyle interventions can be effective, but there is limited evidence of their effectiveness in delivering sustained weight loss. The present research explored potential of web-based, 3-dimensional virtual worlds (VWs) for facilitation of weight-management, well-being and patient and public involvement (PPI) for young people. Attendees of a weight management camp took part in induction sessions for use of the VW of Second Life. All participants successfully learned how to interact with one another and navigate the virtual environment. Participant appraisals of Second Life were varied. Some found it complicated and difficult to use, and some found it fun and the majority stated that they would choose to use VWs again. There is considerable potential for use of VWs to promote weight management, and Second Life or a similar VW could be used to deliver this. Potential barriers include members of the target sample having limited access to computers with necessary system requirements for running VWs, and that some may find VW-based educational experiences unappealing or challenging to navigate. For some however, VWs may provide a useful mode for provision of education, PPI and support relating to weight management.

Indexed as

Childhood ObesityObesitySecond LifeVirtual Worlds

Identifiers

PMID27540446
PMCPMC4986901

What OpenQuestion holds

Textmetadata
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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.