Evidence map›Paper›PMID 39673768›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2025

Yes I can! Exploring the impact of self-efficacy in a digital weight loss intervention.

Angel E Cleare, Christopher D Gardner, Abby C King, Michele L Patel

Abstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Angel E CleareStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, CA 94304, United States.ORCID 0000-0002-5053-6095
Christopher D GardnerStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, CA 94304, United States.ORCID 0000-0002-7596-1530
Abby C KingStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, CA 94304, United States.ORCID 0000-0002-7949-8811
Michele L PatelStanford Prevention Research Center, Stanford University School of Medicine, Palo Alto, CA 94304, United States.ORCID 0000-0001-5307-4861

Funding

Optimizing self-monitoring in a digital health intervention for weight lossK23DK129805 · NIDDK · STANFORD UNIVERSITY · PI Michele Lanpher Patel · 2022 to 2026
$970k
Duke Interdisciplinary Behavioral Research CenterNIDDK NIH HHSNIDDK NIH HHS K23 DK129805
6 · The paper itself

Abstract

backgroundSelf-efficacy is a modifiable intervention target in behavioral weight loss interventions. However, its role in the context of digital interventions is less clear. PURPOSE: To determine change in self-efficacy in a digital weight loss intervention, and whether self-efficacy is associated with engagement in self-monitoring diet or weight loss.

methodsThis is a secondary analysis of the GoalTracker study among 100 adults with overweight or obesity enrolled in a 12-week standalone digital weight loss intervention emphasizing daily self-monitoring. At baseline, 1 month, and 3 months, we assessed self-efficacy for controlling eating (via the Weight Efficacy Lifestyle Questionnaire; WELQ) and self-efficacy for tracking diet. Dietary self-monitoring engagement data were collected from the MyFitnessPal app. Weight was collected in person on a calibrated scale. Analyses included participants with complete data (N range: 72-99).

resultsPositive change from baseline to 1 month in self-efficacy for controlling eating was associated with higher dietary self-monitoring engagement (r = 0.21, P = .008) but not with 3-month weight change (r = -0.20, P = .052). Meanwhile, positive change from baseline to 1 month in self-efficacy for tracking diet was associated in a beneficial direction with both outcomes (r = 0.57, P < .001; r = -0.35, P < .001, respectively). However, on average, self-efficacy for controlling eating did not change over time while self-efficacy for tracking diet decreased (P < .001).

conclusionImprovements in self-efficacy-particularly for tracking diet-early on in a digital weight loss intervention served as a mechanism of greater engagement and weight loss, highlighting the need for strengthening intervention strategies that promote early self-efficacy within a digital context.

Indexed as

ObesityOverweightSelf EfficacyWeight LossWeight Reduction ProgramsAdultAgedFeeding BehaviorFemaleHumansMaleMiddle AgedMobile Applicationsadherencedigitalengagementobesityself-efficacyself-monitoringweight loss

Identifiers

PMID39673768
PMCPMC11761452

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Registered trials

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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.