Trial reportPediatric obesity2019
An addiction model-based mobile health weight loss intervention in adolescents with obesity.
Trial report in Pediatric obesity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02689154 (W8Loss2Go), which is not on this map. Cited by 39 papers, 7 of them syntheses that pooled 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.
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.
W8Loss2Go: Behavioral Weight Loss Intervention Utilizing Mobile Health Technology in Pediatric Patients Referred to a Tertiary Care Center Weight Management Clinic
Who cites it
39 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Digital health, technology-driven or technology-assisted interventions for the management of obesity in children and adolescents.The Cochrane database of systematic reviews · 2025Pooled it
- The prognostic role of food addiction for weight loss treatment outcomes in individuals with overweight and obesity: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Digital interventions for weight control to prevent obesity in adolescents: a systematic review.Frontiers in public health · 2025Pooled it
- Pooled it
- Improving Obesogenic Dietary Behaviors among Adolescents: A Systematic Review of Randomized Controlled Trials.Nutrients · 2022Pooled it
- Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis.Journal of medical Internet research · 2022Pooled it
- Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions.Journal of medical systems · 2020Pooled it
- An addiction-based digital weight loss intervention: A multi-centre randomized controlled trial.Pediatric obesity · 2023Trial
- Trial
- An addiction model-based mobile health weight loss intervention in adolescents with obesity.Pediatric obesity · 2019Trial
- Factors Influencing Adherence to Digital Lifestyle Interventions for Adolescents: Systematic Review and Meta-Analysis of Attrition.Interactive journal of medical research · 2026Review
- Behaviour change techniques, intervention features and usability of diet apps.Preventive medicine reports · 2025Article
- Estimated Costs and Cost-Effectiveness of a Pediatric Weight Management Program.JAMA network open · 2025Article
- Digital components and interaction types in counseling interventions for childhood and adolescent obesity: A systematic review.International journal of nursing sciences · 2025Review
- Use of Extrinsic Motivators to Improve the Body Mass Index of Obese or Overweight Adolescents: A Systematic Review.Journal of medical Internet research · 2024Article
- Lessons Learned from Telemedicine in Adolescent Obesity: Results of a Pilot Study.Children (Basel, Switzerland) · 2024Article
- Cost-effectiveness analysis of individual-level obesity treatment in paediatrics: A scoping review.Pediatric obesity · 2024Article
- Time to act on childhood obesity: the use of technology.Frontiers in pediatrics · 2024Review
- Co-design Tensions Between Parents, Children, and Researchers Regarding Mobile Health Technology Design Needs and Decisions: Case Study.JMIR formative research · 2023Article
- A Bibliometric Analysis to Identify Research Trends in Intervention Programs for Smartphone Addiction.International journal of environmental research and public health · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundClinical approaches to treating childhood obesity can be expensive and poorly reimbursed, and often produce suboptimal results. It has been theorized that overeating may have addictive qualities, and a sizable number of adolescents with obesity endorse addictive habits. Interestingly, few weight management interventions have tested techniques founded in addiction medicine principles. We therefore performed a pilot study of an addiction model based mHealth weight loss intervention in adolescents.
methodsAdolescents with obesity were recruited from an multidisciplinary weight management clinic (EMPOWER). Adolescents without significant obesity comorbidities, who exhibited signs of addictive eating, based on the Yale Food Addiction Scale, were enrolled in a pilot study of an interactive, addiction-based, weight loss smartphone app with coaching (http://clinicaltrials.gov: NCT02689154). The app was designed to help subjects omit problem foods, avoid snacking and reduce meal size. A contemporary cohort of adolescents who completed the EMPOWER program were evaluated. Feasibility of recruitment, adherence, retention rates, BMI change and cost of intervention were examined.
resultsEighteen participants were recruited to app intervention. App participants had higher retention (100% vs. 37%) and lower total cost per patient ($855.15 vs. $1428.00) than the EMPOWER clinic participants. App participants exhibited a significant decrease in zBMI and %BMI
conclusionsAn addiction medicine-based mHealth intervention targeted for adolescents was feasible to implement, resulted in high retention and adherence rates, and reduced zBMI and %BMI
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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.