ArticleJMIR mHealth and uHealth2016
An Evaluation of a Smartphone-Assisted Behavioral Weight Control Intervention for Adolescents: Pilot Study.
Article in JMIR mHealth and uHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effects of Teleintervention Maintenance Programs for Children (Age 6-12) and Adolescents (Age 13-18) With Overweight or Obesity-Promoting a Healthy Lifestyle: A Systematic Review.Pediatric obesity · 2026Pooled it
- Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019Pooled it
- Mobile Health Apps in Pediatric Obesity Treatment: Process Outcomes From a Feasibility Study of a Multicomponent Intervention.JMIR mHealth and uHealth · 2020Trial
- Integrating technology-assisted behavioral management into a summer obesity prevention intervention program: a pilot controlled trial.Frontiers in physiology · 2026Article
- Children and young people's preferences and needs when using health technology to self-manage a long-term condition: a scoping review.Archives of disease in childhood · 2024Article
- The Development of a Text Messaging Platform to Enhance a Youth Diabetes Prevention Program: Observational Process Study.JMIR formative research · 2024Article
- Usability and Engagement Testing of mHealth Apps in Paediatric Obesity: A Narrative Review of Current Literature.International journal of environmental research and public health · 2022Review
- Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review.Journal of medical Internet research · 2021Article
- Treatment of children and adolescents who are overweight or obese.Current problems in pediatric and adolescent health care · 2020Review
- Mobile Health for Pediatric Weight Management: Systematic Scoping Review.JMIR mHealth and uHealth · 2020Article
- A Mobile Phone Intervention to Improve Obesity-Related Health Behaviors of Adolescents Across Europe: Iterative Co-Design and Feasibility Study.JMIR mHealth and uHealth · 2020Article
- Article
- Study protocol: using a mobile phone-based application to increase awareness and uptake of sexual and reproductive health services among the youth in Uganda. A randomized controlled trial.Reproductive health · 2018Article
- Comparing Diet and Exercise Monitoring Using Smartphone App and Paper Diary: A Two-Phase Intervention Study.JMIR mHealth and uHealth · 2018Article
- Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children.JMIR mHealth and uHealth · 2017Article
- Interventions for Preventing Childhood Obesity with Smartphones and Wearable Device: A Protocol for a Non-Randomized Controlled Trial.International journal of environmental research and public health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe efficacy of adolescent weight control treatments is modest, and effective treatments are costly and are not widely available. Smartphones may be an effective method for delivering critical components of behavioral weight control treatment including behavioral self-monitoring.
objectiveTo examine the efficacy and acceptability of a smartphone assisted adolescent behavioral weight control intervention.
methodsA total of 16 overweight or obese adolescents (mean age=14.29 years, standard deviation=1.12) received 12 weeks of combined treatment that consisted of weekly in-person group behavioral weight control treatment sessions plus smartphone self-monitoring and daily text messaging. Subsequently they received 12 weeks of electronic-only intervention, totaling 24 weeks of intervention.
resultsOn average, participants attained modest but significant reductions in body mass index standard score (zBMI: 0.08 standard deviation units, t (13)=2.22, P=.04, d=0.63) over the in-person plus electronic-only intervention period but did not maintain treatment gains over the electronic-only intervention period. Participants self-monitored on approximately half of combined intervention days but less than 20% of electronic-only intervention days.
conclusionsSmartphones likely hold promise as a component of adolescent weight control interventions but they may be less effective in helping adolescents maintain treatment gains after intensive interventions.
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.