ArticleFrontiers in digital health2024
MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance.
Article in Frontiers in digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
4 citing papers in PubMed.
- Adaptive vs Monthly Support for Weight-Loss Maintenance: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Empowering Self-Management of Chronic Low Back Pain Among Spanish and Cantonese Speakers in the United States.Cureus · 2025Article
- Within-week and within-year patterns in self-monitoring of dietary intake in adults with obesity participating in a behavioral weight loss program.Health psychology and behavioral medicine · 2025Article
- Design of Project STAR: A randomized controlled trial evaluating the impact of an adaptive intervention on long-term weight-loss maintenance.Contemporary clinical trials · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
A growing body of research has focused on the utility of adaptive intervention models for promoting long-term weight loss maintenance; however, evaluation of these interventions often requires customized smartphone applications. Building such an app from scratch can be resource-intensive. To support a novel clinical trial of an adaptive intervention for weight loss maintenance, we developed a companion app, MyTrack+, to pair with a main commercial app, FatSecret (FS), leveraging a user-centered design process for rapid prototyping and reducing software engineering efforts. MyTrack+ seamlessly integrates data from FS and the BodyTrace smart scale, enabling participants to log and self-monitor their health data, while also incorporating customized questionnaires and timestamps to enhance data collection for the trial. We iteratively refined the app by first developing initial mockups and incorporating feedback from a usability study with 17 university students. We further improved the app based on an in-the-wild pilot study with 33 participants in the target population, emphasizing acceptance, simplicity, customization options, and dual app usage. Our work highlights the potential of using an iterative human-centered design process to build a companion app that complements a commercial app for rapid prototyping, reducing costs, and enabling efficient research progress.
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Registered trials
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