ArticleObesity science & practice2017
Successful weight loss maintainers use health-tracking smartphone applications more than a nationally representative sample: comparison of the National Weight Control Registry to Pew Tracking for Health.
Article in Obesity science & practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Successful weight loss maintenance: A systematic review of weight control registries.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020Pooled it
- Maintenance phase of a physical activity intervention in older kidney transplant recipients: A 12-month follow-up.Geriatric nursing (New York, N.Y.)Trial
- Article
- Differences in Self-Monitoring Technology Use and Perceptions Between National Weight Control Registry Participants Maintaining and Regaining Weight.Journal of technology in behavioral science · 2025Article
- Engaging primary care patients with existing online tools for weight loss: A pilot trial.Obesity science & practice · 2022Article
- The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model-Based Content Analysis.JMIR mHealth and uHealth · 2022Article
- Remotely Delivered Interventions for Obesity Treatment.Current obesity reports · 2019Review
- Food Cue Reactivity and the Brain-Heart Axis During Cognitive Stress Following Clinically Relevant Weight Loss.Frontiers in nutrition · 2018Article
- Dietary Management of Obesity: Cornerstones of Healthy Eating Patterns.The Medical clinics of North America · 2018Review
- Successful weight loss maintainers use health-tracking smartphone applications more than a nationally representative sample: comparison of the National Weight Control Registry to Pew Tracking for Health.Obesity science & practice · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe objective of this paper is to evaluate successful weight loss maintainers' use of self-monitoring technology.
methodsNational Weight Control Registry (NWCR) participants, who maintained a ≥13.6 kg weight loss for ≥1 year, completed an online survey about self-monitoring technology use. The NWCR sample (
resultsThe NWCR had higher rates of tracking weight, diet or exercise using any modality (92.8% vs. 71.3%), on a regular basis (67.4% vs. 41.3%), and frequency of updating records, compared with Pew (
conclusionUse of self-monitoring technology is common in weight loss maintainers: more so than in a nationally representative sample. However, the national sample more often changed their behaviour based on tracking data, perhaps suggesting that weight loss maintainers could derive additional benefit from technology they are already using.
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.