ReviewAdvances in therapy2022
The Potential Role of Digital Health in Obesity Care.
Review in Advances in therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 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
52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 71 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
- A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled 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
- Virtually delivered lifestyle interventions for overweight and obese pregnant people: A systematic review.Women's health (London, England)Pooled it
- Virtual body image exercises for people with obesity - results on eating behavior and body perception of the ViTraS pilot study.BMC medical informatics and decision making · 2025Trial
- Efficacy of providing energy expenditure information to guide weight loss interventions in people with obesity: A randomized controlled trial.Clinical obesity · 2025Trial
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- Trial
- Optimizing Goal Difficulty in a Digital Weight Loss Intervention: The Ignite Pilot Randomized Trial.Obesity science & practice · 2026Article
- Clinical Decision Support for Digital Dietary Counseling Under GLP-1 Receptor Agonist Therapy: Convergent Mixed Methods Usability and Treatment Satisfaction Pilot Study of the Personalized Nutrition Advisor.JMIR formative research · 2026Article
- Using Large Language Models to Generate Dietary Feedback Similar to Human Experts in Weight Management: Experiments on Real-World Scenario Data.Bioengineering (Basel, Switzerland) · 2026Article
- Effectiveness and adherence in a tirzepatide-supported digital weight-loss programme in Australia: A real-world observational study.Diabetes, obesity & metabolism · 2026Observational
- Sex differences in the influence of weight bias internalization on preferences for telehealth utilization among people with obesity.International journal of obesity (2005) · 2026Article
- Socioeconomic and Structural Barriers to Addressing Obesity in Communities: A Scientific Statement From the American Heart Association.Circulation · 2026Review
- Obesity treatment across healthcare levels: collaboration and digital solutions - a qualitative study of health professional and patient perspectives.BMC health services research · 2026Article
- A multimodal, risk-stratified framework for AI-driven early risk prediction and personalised prevention in obesity.Frontiers in artificial intelligence · 2026Article
- Digital health technologies in obesity: trajectory, emerging hotspots, and future perspectives.Frontiers in medicine · 2026Review
- Exploring the role of digital health technologies in assessing functional mobility and physical activity: Insights from qualitative interviews in adults with obesity or overweight.Obesity pillars · 2025Article
- Treat to target in weight management with semaglutide: Real-world evidence from an eHealth clinic.Diabetes, obesity & metabolism · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is a complex, multi-factorial, chronic condition which increases the risk of a wide range of diseases including type 2 diabetes mellitus, cardiovascular disease and certain cancers. The prevalence of obesity continues to rise and this places a huge economic burden on the healthcare system. Existing approaches to obesity treatment tend to focus on individual responsibility and diet and exercise, failing to recognise the complexity of the condition and the need for a whole-system approach. A new approach is needed that recognises the complexity of obesity and provides patient-centred, multidisciplinary care which more closely meets the needs of each individual with obesity. This review will discuss the role that digital health could play in this new approach and the challenges of ensuring equitable access to digital health for obesity care. Existing technologies, such as telehealth and mobile health apps and wearable devices, offer emerging opportunities to improve access to obesity care and enhance the quality, efficiency and cost-effectiveness of weight management interventions and long-term patient support. Future application of machine learning and artificial intelligence to obesity care could see interventions become increasingly automated and personalised.
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.