ArticleJMIR mHealth and uHealth2020
Mobile Health for Pediatric Weight Management: Systematic Scoping Review.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 8 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
45 citing papers in PubMed, 8 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- 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
- Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts.Journal of medical Internet research · 2024Pooled it
- Effectiveness of mHealth App-Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2024Pooled it
- Collection and Analysis of Adherence Information for Software as a Medical Device Clinical Trials: Systematic Review.JMIR mHealth and uHealth · 2023Pooled it
- Parents' Experiences Using Digital Health Technologies in Paediatric Overweight and Obesity Support: An Integrative Review.International journal of environmental research and public health · 2022Pooled it
- The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis.Journal of medical Internet research · 2022Pooled it
- Guidelines for treating child and adolescent obesity: A systematic review.Frontiers in nutrition · 2022Pooled it
- An addiction-based digital weight loss intervention: A multi-centre randomized controlled trial.Pediatric obesity · 2023Trial
- The Results of the Families Improving Together (FIT) for Weight Loss Randomized Trial in Overweight African American Adolescents.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022Trial
- The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes.Journal of medical Internet research · 2022Trial
- An mHealth Intervention to Reduce the Packing of Discretionary Foods in Children's Lunch Boxes in Early Childhood Education and Care Services: Cluster Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- Pediatric Weight Management Through mHealth Compared to Face-to-Face Care: Cost Analysis of a Randomized Control Trial.JMIR mHealth and uHealth · 2021Trial
- Long-Term Effects of Real-Time Remotely Supervised High-Intensity Interval Training in Adolescents With Obesity.Obesity science & practice · 2026Article
- Examining Primary Care Utilization and Distance Traveled for Care Among Medicaid-Insured Children in South Carolina.Journal of community health · 2025Article
- Evaluating the Impact of an 8-Week Family-Focused E-Health Lifestyle Program for Adolescents: A Retrospective, Real-World Evaluation.Nutrients · 2025Article
- The Good Start Matters mHealth Parenting Program: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Engagement With and Impact of an mHealth App for Childhood Obesity Prevention and Management: Protocol for a Mixed Methods Study.JMIR research protocols · 2025Article
- mHealth App to Promote Healthy Lifestyles for Diverse Families Living in Rural Areas: Usability Study.JMIR formative research · 2025Article
- Usability of the BigO system in pediatric obesity treatment: A mixed-methods evaluation of clinical end-users.Computational and structural biotechnology journal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prevalence and consequences of obesity among children and adolescents remain a leading global public health concern, and evidence-based, multidisciplinary lifestyle interventions are the cornerstone of treatment. Mobile electronic devices are widely used across socioeconomic categories and may provide a means of extending the reach and efficiency of health care interventions.
objectiveWe aimed to synthesize the evidence regarding mobile health (mHealth) for the treatment of childhood overweight and obesity to map the breadth and nature of the literature in this field and describe the characteristics of published studies.
methodsWe conducted a systematic scoping review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews, by searching nine academic databases in addition to gray literature for studies describing acceptability, usability, feasibility, effectiveness, adherence, or cost-effectiveness of interventions assessing mHealth for childhood obesity treatment. We also hand searched the reference lists of relevant articles. Studies aimed at the prevention of overweight or obesity were excluded, as were studies in which mHealth was not the primary mode of treatment delivery for at least one study arm or was not independently assessed. A random portion of all abstracts and full texts was double screened by a second reviewer to ensure consistency. Data were charted according to study characteristics, including design, participants, intervention content, behavior change theory (BCT) underpinning the study, mode of delivery, and outcomes measured.
resultsWe identified 42 eligible studies assessing acceptability (n=7), usability (n=2), feasibility or pilot studies (n=15), treatment effect (n=17), and fidelity (n=1). Change in BMI z-scores or percentiles was most commonly measured, among a variety of dietary, physical activity, psychological, and usability or acceptability measures. SMS, mobile apps, and wearable devices made up the majority of mobile interventions, and 69% (29/42) of the studies specified a BCT used.
conclusionsPediatric weight management using mHealth is an emerging field, with most work to date aimed at developing and piloting such interventions. Few large trials are published, and these are heterogeneous in nature and rarely reported according to the Consolidated Standards of Reporting Trials for eHealth guidelines. There is an evidence gap in the cost-effectiveness analyses of such studies.
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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.