ArticleJMIR serious games2015
Health Behavior Theory in Physical Activity Game Apps: A Content Analysis.
Article in JMIR serious games, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING).Journal of medical Internet research · 2021Pooled it
- Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews.JMIR mHealth and uHealth · 2020Pooled it
- App based education programme to reduce salt intake (AppSalt) in schoolchildren and their families in China: parallel, cluster randomised controlled trial.BMJ (Clinical research ed.) · 2022Trial
- Article
- A Physical Activity Mobile Game for Hematopoietic Stem Cell Transplant Patients: App Design, Development, and Evaluation.JMIRx med · 2021Article
- A Serious Game Designed to Promote Safe Behaviors Among Health Care Workers During the COVID-19 Pandemic: Development of "Escape COVID-19".JMIR serious games · 2020Article
- Reducing Salt Intake in China with "Action on Salt China" (ASC): Protocol for Campaigns and Randomized Controlled Trials.JMIR research protocols · 2020Article
- Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review.Journal of medical Internet research · 2020Article
- Smartphones and tooth brushing: content analysis of the current available mobile health apps for motivation and training.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2020Article
- An Application-based programme to reinforce and maintain lower salt intake (AppSalt) in schoolchildren and their families in China.BMJ open · 2019Article
- Identifying Evidence-Informed Physical Activity Apps: Content Analysis.JMIR mHealth and uHealth · 2018Article
- Pokémon GO Within the Context of Family Health: Retrospective Study.JMIR pediatrics and parenting · 2018Article
- 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study.JMIR serious games · 2018Article
- Gaming behaviour with Pokémon GO and physical activity: A preliminary study with medical students in Thailand.PloS one · 2018Observational
- A Prototype Exercise-Empowerment Mobile Video Game for Children With Cancer, and Its Usability Assessment: Developing Digital Empowerment Interventions for Pediatric Diseases.Frontiers in pediatrics · 2018Article
- Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques.The international journal of behavioral nutrition and physical activity · 2017Article
- Gamification in Stress Management Apps: A Critical App Review.JMIR serious games · 2017Article
- The promise of an augmented reality game-Annals of translational medicine · 2017Article
- Tackling the Challenge of the Aging Society: Detecting and Preventing Cognitive and Physical Decline through Games and Consumer Technologies.Healthcare informatics research · 2017Review
- Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study.JMIR mHealth and uHealth · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysical activity games developed for a mobile phone platform are becoming increasingly popular, yet little is known about their content or inclusion of health behavior theory (HBT).
objectiveThe objective of our study was to quantify elements of HBT in physical activity games developed for mobile phones and to assess the relationship between theoretical constructs and various app features.
methodsWe conducted an analysis of exercise and physical activity game apps in the Apple App Store in the fall of 2014. A total of 52 apps were identified and rated for inclusion of health behavior theoretical constructs using an established theory-based rubric. Each app was coded for 100 theoretical items, containing 5 questions for 20 different constructs. Possible total theory scores ranged from 0 to 100. Descriptive statistics and Spearman correlations were used to describe the HBT score and association with selected app features, respectively.
resultsThe average HBT score in the sample was 14.98 out of 100. One outlier, SuperBetter, scored higher than the other apps with a score of 76. Goal setting, self-monitoring, and self-reward were the most-reported constructs found in the sample. There was no association between either app price and theory score (P=.5074), or number of gamification elements and theory score (P=.5010). However, Superbetter, with the highest HBT score, was also the most expensive app.
conclusionsThere are few content analyses of serious games for health, but a comparison between these findings and previous content analyses of non-game health apps indicates that physical activity mobile phone games demonstrate higher levels of behavior theory. The most common theoretical constructs found in this sample are known to be efficacious elements in physical activity interventions. It is unclear, however, whether app designers consciously design physical activity mobile phone games with specific constructs in mind; it may be that games lend themselves well to inclusion of theory and any constructs found in significant levels are coincidental. Health games developed for mobile phones could be potentially used in health interventions, but collaboration between app designers and behavioral specialists is crucial. Additionally, further research is needed to better characterize mobile phone health games and the relative importance of educational elements versus gamification elements in long-term behavior change.
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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.