ReviewPerspectives in health information managemen2017
Can mHealth Revolutionize the Way We Manage Adult Obesity?
Review in Perspectives in health information managemen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- The transformative power of mHealth apps: empowering patients with obesity and diabetes - a narrative review.Journal of medicine and life · 2024Pooled it
- Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions.Journal of medical systems · 2020Pooled it
- Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews.JMIR mHealth and uHealth · 2020Pooled it
- Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- A Factorial Experiment to Optimize Remotely Delivered Behavioral Treatment for Obesity: Results of the Opt-IN Study.Obesity (Silver Spring, Md.) · 2020Trial
- Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- Mobile Health Interventions for Individuals with Type 2 Diabetes and Overweight or Obesity-A Systematic Review and Meta-Analysis.Journal of functional morphology and kinesiology · 2025Review
- Cholesterol, Triglyceride, and Glucose Levels Across Birth Cohorts in the US.JAMA network open · 2024Article
- Article
- Factors related to moderate exercise during COVID-19 for overweight and obese individuals: A secondary analysis of HINTS data.PEC innovation · 2022Article
- Experience with Obese Patients Followed via Telemedicine in a Latin American Tertiary Care Medical Center.International journal of environmental research and public health · 2022Article
- ePSICONUT: An e-Health Programme to Improve Emotional Health and Lifestyle in University Students.International journal of environmental research and public health · 2022Article
- The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model-Based Content Analysis.JMIR mHealth and uHealth · 2022Article
- Identification of the minimum data set to design a mobile-based application on overweight and obesity management for children and adolescents.Journal of diabetes and metabolic disorders · 2021Review
- Cross-National Outcomes of a Digital Weight Loss Intervention in the United States, Canada, United Kingdom and Ireland, and Australia and New Zealand: A Retrospective Analysis.Frontiers in public health · 2021Article
- Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study.JMIR mHealth and uHealth · 2020Article
- A Digital Health Weight Loss Program in 250,000 Individuals.Journal of obesity · 2020Observational
- SMART: Study protocol for a sequential multiple assignment randomized controlled trial to optimize weight loss management.Contemporary clinical trials · 2019Article
- Understanding the Effect of Adding Automated and Human Coaching to a Mobile Health Physical Activity App for Afghanistan and Iraq Veterans: Protocol for a Randomized Controlled Trial of the Stay Strong Intervention.JMIR research protocols · 2019Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is the largest driver of chronic preventable diseases, accounting for an estimated $147 billion or 10 percent of total US healthcare costs in 2008. It has been forecasted that 42 percent of Americans will be obese by 2030. Mobile health (mHealth) technologies target and may modify the behavioral factors that lead to obesity to promote a healthy lifestyle. These technologies could potentially reduce the cost and the morbidity and mortality burden of obesity because of their inexpensive and portable nature. This study aimed to analyze the efficacy and cost-effectiveness of mHealth interventions for adult obesity in the United States. The methodology used in this study was a literature review of 54 articles. Weight, body mass index (BMI), waist circumference reductions, and favorable lifestyle behavior changes were noted across most studies. Existing data and research on efficacy and linked costs indicated that mHealth technologies were more effective than other methods and could be inexpensively delivered remotely to manage adult obesity, offering significant benefits over conventional care. Further studies on the costs and benefits of adapting such mHealth interventions in clinical settings are needed.
Indexed as
Identifiers
28566984PMC5430129W2742103207What 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.