Trial reportJMIR formative research2025
Development, Challenges, and Evolution of the Log2Lose Intervention for Weight Management: Randomized Controlled Digital Health Trial.
Trial report in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04770909 (Log2Lose), which is not on this map. Not yet cited in PubMed.
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.
Log2Lose: Incenting Weight Loss and Dietary Self-monitoring in Real-time to Improve Weight Management Among Adults With Obesity
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundLong-term adherence to weight loss behaviors is challenging, as most individuals who achieve significant weight loss regain 1-2 kg per year. Financial incentives can reinforce weight-loss initiation and maintenance behaviors, but optimal strategies remain unclear.
objectiveThis paper describes the design, technical architecture, and operational workflow of Log2Lose, a 5-year, multisite randomized controlled trial testing different financial incentive strategies to promote weight loss and maintenance. We detail the platform's integration with external devices, automated data collection, and adaptations to maintain intervention fidelity in the context of evolving technology and regulatory requirements.
methodsThe Log2Lose platform collects daily weight and dietary data from cellular scales and fitness tracking applications, calculates weekly incentive eligibility, and sends automated feedback and motivational text messages. We summarize the technical adaptations, message delivery performance, data completeness, and the balance between automation and manual support required to ensure data integrity.
resultsBy the end of the study, 706 participants recorded 181,285 weights and 114,144 daily calorie entries. The platform sent 126,283 text messages and calculated 35,187 incentive payments, with 99.4% (34,976/35,187) processed automatically. Adaptations addressed device integration changes, application programming interface discontinuations, and new text messaging regulations. Despite automation, ongoing technical support was essential for resolving delivery errors, device issues, and data anomalies.
conclusionsLog2Lose demonstrated that large-scale, fully remote weight loss interventions can be implemented using consumer technology paired with a robust, adaptable platform. Success depended on flexible software design, continuous monitoring, and responsive technical support to navigate regulatory and technological changes. Log2Lose offers a practical model for processing remotely collected longitudinal dietary and weight data, providing valuable guidance for researchers, health care providers, and employers developing similar digital health interventions.
trial registrationClinicalTrials.gov NCT04770909; https://clinicaltrials.gov/study/NCT04770909.
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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.