ArticleJMIR mHealth and uHealth2019
Log2Lose: Development and Lessons Learned From a Mobile Technology Weight Loss Intervention.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02691260 (Incentivizing Behavior Change Skills to Promote Weight Loss), which is not on this map. Cited by 14 papers, 1 of them a synthesis 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.
Incentivizing Behavior Change Skills to Promote Weight Loss
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 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
- Development, Challenges, and Evolution of the Log2Lose Intervention for Weight Management: Randomized Controlled Digital Health Trial.JMIR formative research · 2025Trial
- Outcomes from Partner2Lose: a randomized controlled trial to evaluate 24-month weight loss in a partner-assisted intervention.BMC public health · 2024Trial
- Small Monetary Incentives Lead to Greater Adherence in a Weight Loss Program.American journal of health promotion : AJHP · 2024Trial
- Efficacy of telehealth acceptance and commitment therapy for weight loss: a pilot randomized clinical trial.Translational behavioral medicine · 2021Trial
- A randomized feasibility pilot trial of a financial incentives intervention for dietary self-monitoring and weight loss in adults with obesity.Translational behavioral medicine · 2021Trial
- Study protocol for Log2Lose: A randomized controlled trial to evaluate financial incentives for dietary self-monitoring and interim weight loss in adults with obesity.Contemporary clinical trials · 2025Article
- Behavioral Weight Loss Programs for Cancer Survivors Throughout Maryland: Protocol for a Pragmatic Trial and Participant Characteristics.JMIR research protocols · 2024Article
- A low-burden, self-weighing intervention to prevent weight gain in adults with obesity who do not enroll in comprehensive treatment.Obesity science & practice · 2024Article
- Qualitative Evaluation of Family Caregivers' Experiences Participating in Knowledge and Interpersonal Skills to Develop Exemplary Relationships (KINDER): Web-Based Intervention to Improve Relationship Quality.JMIR formative research · 2023Article
- Comparison of weight captured via electronic health record and cellular scales to the gold-standard clinical method.Obesity science & practice · 2023Article
- Low-Cost Consumer-Based Trackers to Measure Physical Activity and Sleep Duration Among Adults in Free-Living Conditions: Validation Study.JMIR mHealth and uHealth · 2020Article
- A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults.Journal of personalized medicine · 2019Article
- Enhancing Diabetes Self-Management Through Collection and Visualization of Data From Multiple Mobile Health Technologies: Protocol for a Development and Feasibility Trial.JMIR research protocols · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundProviding financial incentives has gained popularity as a strategy to promote weight loss, but questions remain about how best to utilize them. A promising mobile health strategy provides users with near-real-time financial incentives based on both the process of weight loss (behavioral modification) and actual weight loss. To maximize the impact of this strategy, a methodology is needed to close the gap between the desired behavior and the financial incentive. Leveraging mobile health tools-such as mobile phone apps, cellular body weight scales that transmit data to physicians and researchers, and text messaging for instructions and encouragement-has the potential to close this gap.
objectiveThis study aimed to describe the development of an innovative technology-based solution and lessons learned from a feasibility trial-Log2Lose-that encouraged individuals to lose weight by providing near-real-time financial incentives for weight loss and/or dietary self-monitoring.
methodsWe recruited participants (N=96) with a body mass index greater than or equal to 30 kg/m
resultsOur custom-engineered software platform analyzed data from multiple sources, collated and processed the data to send appropriate text messages automatically, and informed study staff of the appropriate incentives. We present lessons learned from the development of the software system and challenges encountered with technology, data transmission, and participants (eg, lost connections or delayed communication).
conclusionsWith consistent and constant validation checks and a robust beta test run, the process of analyzing data and determining eligibility for weekly incentives can be mostly automated. We were able to accomplish this project within an academic health system, which required significant security and privacy safeguards. Our success demonstrates how this methodology of automated feedback loops can provide health interventions via mobile technology.
trial registrationClinicalTrials.gov NCT02691260; https://clinicaltrials.gov/ct2/show/NCT02691260.
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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.