ArticleObesity science & practice2020
Examination of a partial dietary self-monitoring approach for behavioral weight management.
Article in Obesity science & practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 14 citations in OpenAlex.
- An Evaluation of a Personalized Multicomponent Commercial Digital Weight Management Program: Single-Arm Behavioral Trial.Journal of medical Internet research · 2023Trial
- Efficacy of a Commercial Weight Management Program Compared With a Do-It-Yourself Approach: A Randomized Clinical Trial.JAMA network open · 2022Trial
- A pilot randomized trial of simplified versus standard calorie dietary self-monitoring in a mobile weight loss intervention.Obesity (Silver Spring, Md.) · 2022Trial
- Effectiveness of a behavioral weight management intervention by race, ethnicity, income, and education: a meta-analysis.Communications medicine · 2026Article
- Perceptions and Emotions Toward Diets and Supplements Among Reddit Users With Functional/Dissociative Seizures and Their Caregivers: A Mixed-Methods Analysis of r/PNESsupport.Brain and behavior · 2026Article
- Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study.Journal of medical Internet research · 2025Article
- Article
- Detailed Versus Simplified Dietary Self-monitoring in a Digital Weight Loss Intervention Among Racial and Ethnic Minority Adults: Fully Remote, Randomized Pilot Study.JMIR formative research · 2022Article
- Supplementing a widely available weight loss program with gamified inhibitory control training: A randomized pilot study.Obesity science & practice · 2022Article
- Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring.Journal of nutrition and metabolism · 2022Review
- Examination of a partial dietary self-monitoring approach for behavioral weight management.Obesity science & practice · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
introductionDietary self-monitoring in behavioral weight loss programmes traditionally involves keeping track of all foods and beverages to achieve a calorie deficit. While effective, adherence declines over time. WW™ (formerly Weight Watchers), a widely available commercial weight management programme, sought to pilot an approach that permitted participants to consume over 200 foods without monitoring them.
methodsThe current study used a pre-post evaluation design with anthropometric, psychosocial and physical health assessments at baseline, 3 and 6 months.
resultsParticipants (
conclusionsUsing an approach that does not require self-monitoring of all foods and beverages produced significant weight losses and other physical and psychosocial improvements.
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.