ArticleJournal of diabetes science and technology2011
Application of virtual reality methods to obesity prevention and management research.
Article in Journal of diabetes science and technology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Modeling Dynamic Food Choice Processes to Understand Dietary Intervention Effects.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2018Trial
- Trial
- Using avatars to model weight loss behaviors: participant attitudes and technology development.Journal of diabetes science and technology · 2013Trial
- Emerging Trends in Telehealth and AI-Driven Approaches for Obesity Management: A New Perspective.The Malaysian journal of medical sciences : MJMS · 2025Review
- Feasibility of a virtual reality-based approach to improve behavioral weight management outcomes.Pilot and feasibility studies · 2021Article
- The Internet of Things: Impact and Implications for Health Care Delivery.Journal of medical Internet research · 2020Review
- Influence of weight etiology information and trainee characteristics on Physician-trainees' clinical and interpersonal communication.Patient education and counseling · 2019Article
- Immersive Virtual Environment Technology to Supplement Environmental Perception, Preference and Behavior Research: A Review with Applications.International journal of environmental research and public health · 2015Review
- Stimulating innovations in the measurement of parenting constructs.Childhood obesity (Print) · 2013Review
- Innovation in weight loss programs: a 3-dimensional virtual-world approach.Journal of medical Internet research · 2012Article
- Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities.Journal of diabetes science and technology · 2011Article
- Turning virtual reality into reality: a checklist to ensure virtual reality studies of eating behavior and physical activity parallel the real world.Journal of diabetes science and technology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
There is a great need for empirical evidence to inform clinical prevention and management of overweight and obesity. Application of virtual reality (VR) methods to this research agenda could present considerable advantages. Use of VR methods in basic and applied obesity prevention and treatment research is currently extremely limited. However, VR has been employed for social and behavioral research in many other domains where it has demonstrated validity and utility. Advantages of VR technologies as research tools include the ability to situate hypothetical research scenarios in realistic settings, tight experimental control inherent in virtual environments, the ability to manipulate and control any and all scenario elements, and enhanced behavioral measurement opportunities. The means by which each of these features could enhance obesity prevention and management research is discussed and illustrated in the context of an example research study. Challenges associated with the application of VR methods, such as technological limitations and cost, are also considered. By employing experimental VR methods to interrogate clinical encounters and other health-related situations, researchers may be able to elucidate causal relationships, strengthen theoretical models, and identify potential targets for intervention. In so doing, researchers stand to make important contributions to evidence-based practice innovation in weight management and obesity prevention.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.