ArticleObesity science & practice2019
Early weight loss in a standalone mHealth intervention predicting treatment success.
Article in Obesity science & practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults.Nutrients · 2022Pooled it
- Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity.Obesity (Silver Spring, Md.) · 2021Pooled it
- An Adaptive Telephone Coaching Intervention for Patients in an Online Weight Loss Program: A Randomized Clinical Trial.JAMA network open · 2024Trial
- Consistent self-monitoring in a commercial app-based intervention for weight loss: results from a randomized trial.Journal of behavioral medicine · 2020Trial
- Do routinized eating behaviors support weight loss? An examination of food logs from behavioral weight loss participants.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026Article
- Effectiveness of Liraglutide in Patients With Obesity Who Are Early Non-Responders to Lifestyle Intervention: A Real-World Study.Journal of obesity · 2026Observational
- Yes I can! Exploring the impact of self-efficacy in a digital weight loss intervention.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- Results of a pilot sequential multiple assignment randomized trial using counseling to augment a digital weight loss program.Obesity science & practice · 2024Article
- Weight Loss Trajectories and Short-Term Prediction in an Online Weight Management Program.Nutrients · 2024Article
- Why more successful? An analysis of participants' self-monitoring data in an online weight loss intervention.BMC public health · 2024Article
- Characterization of early non-responders within behavioral weight loss treatment.American journal of health behavior · 2024Article
- An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study.Journal of medical Internet research · 2023Article
- Sex Differences in Early Weight Loss Success During a Diabetes Prevention Intervention.American journal of health behavior · 2023Article
- Detailed Versus Simplified Dietary Self-monitoring in a Digital Weight Loss Intervention Among Racial and Ethnic Minority Adults: Fully Remote, Randomized Pilot Study.JMIR formative research · 2022Article
- Impact of a Novel Diabetes Prevention Intervention for Early Slow Weight Loss Responders Among Adults With Prediabetes: An Adaptive Trial.Diabetes care · 2022Article
- Adherence to mobile-app-based dietary self-monitoring-Impact on weight loss in adults.Obesity science & practice · 2022Article
- Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review.Journal of medical Internet research · 2022Review
- User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review.JMIR cardio · 2021Review
- Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial.JMIR research protocols · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEarly weight loss is a strong predictor of longer-term and clinically meaningful weight loss but has not been studied in the context of mobile health ('mHealth') interventions.
methodsGoalTracker was a randomized trial among adults (21-65 years) with overweight or obesity comparing three 12-week standalone mHealth interventions for weight loss. All arms received a free commercial mobile app (MyFitnessPal) for daily self-monitoring of diet and/or weight and a goal to lose 5% of weight by 3 months. Collapsing across arms, this analysis examined participants with a 1-month weight (
resultsEarly responders - 36% of participants - had greater per cent weight change at 3 months (-5.93% [95% confidence interval: -6.82%, -5.03%]) than early non-responders (-1.45% [-2.15%, -0.75%]), which was sustained at 6 months (-5.91% [-7.33%, -4.48%] vs. -1.28% [-2.37%, -0.19%];
conclusionResponding early to an mHealth treatment is associated with higher engagement and greater likelihood of achieving clinically meaningful weight loss.
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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.