Trial reportContemporary clinical trials2023
Sharing digital self-monitoring data with others to enhance long-term weight loss: A randomized controlled trial.
Trial report in Contemporary clinical trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- Changes in Ultra-Processed Food Intake During a Single-Arm Behavioral Weight Management Intervention: A Secondary Analysis.Obesity (Silver Spring, Md.) · 2026Trial
- Coach access to digital self-monitoring data: an experimental test of short-term effects in behavioral weight-loss treatment.Obesity (Silver Spring, Md.) · 2024Trial
- Capturing goal content from free text in weight loss: an exploratory pilot on feasibility, reliability, and early outcomes.BMC research notes · 2026Article
- Preferences and responses for physical activity partnerships among women in midlife with elevated risk for cardiovascular disease: a digital, mixed methods approach.Psychology & health · 2025Article
- Understanding the selection of support partners in a behavioral weight loss program.Psychology & health · 2025Article
- Romantic partner undermining in a behavioral weight loss intervention.Journal of behavioral medicine · 2025Article
- Physical Activity Measurement Reactivity Among Midlife Adults With Elevated Risk for Cardiovascular Disease: Protocol for Coordinated Analyses Across Six Studies.JMIR research protocols · 2025Article
- The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024.Journal of behavioral medicine · 2025Review
- Implementation of Obesity Science Into Clinical Practice: A Scientific Statement From the American Heart Association.Circulation · 2024Review
- Psychological and behavioral responses to daily weight gain during behavioral weight loss treatment.Journal of behavioral medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundParticipants in behavioral weight loss (BWL) programs increasingly use digital tools to self-monitor weight, physical activity, and dietary intake. Data collected with these tools can be systematically shared with other parties in ways that might support behavior change.
methodsAdults age 18 to 70 with overweight/obesity (BMI 27-50 kg/m
conclusionThis study will provide a clear indication of whether data sharing can improve long-term weight loss. This study will be the first to discern the mechanisms of action through which each type of data sharing may be beneficial, and elucidate conditions under which the benefits of data sharing may be maximized.
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.