Evidence map›Paper›PMID 31871900›Full record

ReviewInternet interventions2020

Using avatars in weight management settings: A systematic review.

M Horne, A Hill, T Murells, H Ugail, Irving, R Chinnadorai, M Hardy

Abstract readReview
In one paragraph

Review in Internet interventions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Development of an Extended-Reality (XR)-Based Intervention to Treat Adolescent Obesity.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Virtual conference design: features and obstacles.Multimedia tools and applications · 2022
    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

7 authors.

M HorneFaculty of Medicine and Health, School of Healthcare, University of Leeds, Leeds LS1 9JT, UK.
A HillFaculty of Medicine and Health, University of Leeds, Leeds LS1 9JT, UK.
T MurellsFlorence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London WC2R 2LS, UK.
H UgailCentre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK.
IrvingFaculty of Medicine and Health, Academic Unit of Health Economics, University of Leeds, Leeds LS19JT, UK.
R ChinnadoraiThe Mid Yorkshire Hospitals NHS Trust, Pinderfields Hospital, Wakefield WF1 4DG, UK.
M HardyFaculty of Health Studies, University of Bradford, Bradford BD7 1DP, UK.

Funding

Department of Health PB-PG-1215-20016
6 · The paper itself

Abstract

backgroundObesity interventions rely predominantly on managing dietary intake and/or increasing physical activity but sustained adherence to behavioural regimens is often poor. Avatar technology is well established within the computer gaming industry and evidence suggests that virtual representations of self may impact real-world behaviour, acting as a catalyst for sustained weight loss behaviour modification. However, the effectiveness of avatar technology in promoting weight loss is unclear.

aimsWe aimed to assess the quantity and quality of empirical support for the use of avatar technologies in adult weight loss interventions.

methodA systematic review of empirical studies was undertaken. The key objectives were to determine if: (i) the inclusion of avatar technology leads to greater weight loss achievement compared to routine intervention; and (ii) whether weight loss achievement is improved by avatar personalisation (avatar visually reflects self).

resultsWe identified 6 papers that reported weight loss data. Avatar-based interventions for weight loss management were found to be effective in the short (4-6 weeks) and medium (3-6 months) term and improved weight loss maintenance in the long term (12 months). Only 2 papers included avatar personalisation, but results suggested there may be some added motivational benefit.

conclusionsThe current evidence supports that avatars may positively impact weight loss achievement and improve motivation. However, with only 6 papers identified the evidence base is limited and therefore findings need to be interpreted with caution.

Indexed as

AvatarsObesitySecond lifeSystematic reviewVirtual realityWeight loss

Identifiers

PMID31871900
PMCPMC6909197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.