ReviewCurrent diabetes reports2014
Review of innovations in digital health technology to promote weight control.
Review in Current diabetes reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 7 syntheses or guidelines pooled it, 118 citations in OpenAlex.
- Remote Monitoring Systems for Patients With Chronic Diseases in Primary Health Care: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations.JMIR mHealth and uHealth · 2019Pooled it
- The effect of interactive digital interventions on physical activity in people with inflammatory arthritis: a systematic review.Rheumatology international · 2018Pooled it
- Just-in-Time Feedback in Diet and Physical Activity Interventions: Systematic Review and Practical Design Framework.Journal of medical Internet research · 2018Pooled it
- Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2017Pooled it
- Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review.Journal of medical Internet research · 2015Pooled it
- Using an electronic activity monitor system as an intervention modality: A systematic review.BMC public health · 2015Pooled it
- Push Notifications From a Mobile App to Improve the Body Composition of Overweight or Obese Women: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- The Dietary Intervention to Enhance Tracking with Mobile Devices (DIET Mobile) Study: A 6-Month Randomized Weight Loss Trial.Obesity (Silver Spring, Md.) · 2017Trial
- Feasibility study of portable technology for weight loss and HbA1c control in type 2 diabetes.BMC medical informatics and decision making · 2016Trial
- Trial
- Efficacy of SmartLoss, a smartphone-based weight loss intervention: results from a randomized controlled trial.Obesity (Silver Spring, Md.) · 2015Trial
- Development of and feedback on a fully automated virtual reality system for online training in weight management skills.Journal of diabetes science and technology · 2015Trial
- An automated internet behavioral weight-loss program by physician referral: a randomized controlled trial.Diabetes care · 2015Trial
- Observational
- Perceptions Regarding Healthy Eating Based on Concept Mapping.Nutrients · 2025Article
- Digital Health Technology Use Across Socioeconomic Groups Prior to and During the COVID-19 Pandemic: Panel Study.JMIR public health and surveillance · 2024Article
- Human cues in eHealth to promote lifestyle change: An experimental field study to examine adherence to self-help interventions.Internet interventions · 2024Article
- Weight Loss Using an mHealth App Among Individuals With Obesity in Different Economic Regions of China: Cohort Study.JMIR mHealth and uHealth · 2024Article
- Pattern-based clustering of daily weigh-in trajectories using dynamic time warping.Biometrics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in technology have contributed to the obesity epidemic and worsened health by reducing opportunities for physical activity and by the proliferation of inexpensive calorie-dense foods. However, much of the same technology can be used to counter these troublesome trends by fostering the development and maintenance of healthy eating and physical activity habits. In contrast to intensive face-to-face treatments, technology-based interventions also have the potential to reach large numbers of individuals at low cost. The purpose of this review is to discuss studies in which digital technology has been used for behavioral weight control, report on advances in consumer technology that are widely adopted but insufficiently tested, and explore potential future directions for both. Web-based, mobile (eg, smartphone), virtual reality, and gaming technologies are the focus of discussion. The best evidence exists to support the use of digital technology for self-monitoring of weight-related behaviors and outcomes. However, studies are underway that will provide additional, important information regarding how best to apply digital technology for behavioral weight control.
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.