Evidence map›Paper›PMID 39175923›Full record

ArticleDigital health

The Fully Understanding Eating and Lifestyle Behaviors (FUEL) trial: Protocol for a cohort study harnessing digital health tools to phenotype dietary non-adherence behaviors during lifestyle intervention.

Stephanie P Goldstein, Kevin M Mwenda, Adam W Hoover, Olivia Shenkle, Richard N Jones, John Graham Thomas

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05562427 (Using Multimodal Real-Time Assessment to Phenotype Dietary Non-Adherence), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

NCT05562427 naactive not recruitingnot on this map

Using Multimodal Real-Time Assessment to Phenotype Dietary Non-Adherence

TypeinterventionalSponsorThe Miriam HospitalRan2022 to 2027Enrolled150ConditionsObesityArmsGold-Standard Online Behavioral Obesity Treatment
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Stephanie P GoldsteinDepartment of Psychiatry and Human Behavior, Weight Control and Diabetes Research Center, The Miriam Hospital/Alpert Medical School of Brown University, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0002-9656-1675
Kevin M MwendaSpatial Structures in the Social Sciences, Population Studies and Training Center, Brown University, Providence, Rhode Island, USA.
Adam W HooverHolcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, South Carolina, USA.
Olivia ShenkleWeight Control and Diabetes Research Center, The Miriam Hospital, Providence, Rhode Island, USA.
Richard N JonesQuantitative Science Program, Department of Psychiatry and Human Behavior, Department of Neurology, Warren Alpert Medical School, Brown University, Butler Hospital, Providence, Rhode Island, USA.
John Graham ThomasDepartment of Psychiatry and Human Behavior, Weight Control and Diabetes Research Center, The Miriam Hospital/Alpert Medical School of Brown University, Providence, Rhode Island, USA.

Funding

Science/Technical CoreP2CHD041020 · BROWN UNIVERSITY · 2025 to 2025
$664k
Sleep and Fear Extinction Learning among Adolescents with Anxiety or OCDP20GM139743 · EMMA PENDLETON BRADLEY HOSPITAL · 2025 to 2025
$643k
Using Multimodal Real-Time Assessment to Phenotype Dietary Non-Adherence Behaviors that Contribute to Poor Outcomes in Behavioral Obesity TreatmentR01DK132210 · MIRIAM HOSPITAL · 2025 to 2025
$614k
NICHD NIH HHS P2C HD041020NIDDK NIH HHS R01 DK132210NIGMS NIH HHS P20 GM139743
6 · The paper itself

Abstract

Objective: Lifestyle intervention can produce clinically significant weight loss and reduced disease risk/severity for many individuals with overweight/obesity. Dietary lapses, instances of non-adherence to the recommended dietary goal(s) in lifestyle intervention, are associated with less weight loss and higher energy intake. There are distinct "types" of dietary lapse (e.g., eating an off-plan food, eating a larger portion), and behavioral, psychosocial, and contextual mechanisms may differ across dietary lapse types. Some lapse types also appear to impact weight more than others. Elucidating clear lapse types thus has potential for understanding and improving adherence to lifestyle intervention. Methods: This 18-month observational cohort study will use real-time digital assessment tools within a multi-level factor analysis framework to uncover "lapse phenotypes" and understand their impact on clinical outcomes. Adults with overweight/obesity ( Results: This trial is ongoing; data collection began on 31 October 2022 and is scheduled to complete by February 2027. Conclusion: Results will inform novel precision tools to improve dietary adherence in lifestyle intervention, and support updated theoretical models of adherence behavior. Additionally, these phenotyping methods can likely be leveraged to better understand non-adherence to other health behavior interventions. Trial Registration: This study was prospectively registered https://clinicaltrials.gov/study/NCT05562427.

Indexed as

adherencedietary assessmentDietary lapseecological momentary assessmentlifestyle interventionoverweight/obesitypassive sensingphenotyping

Identifiers

PMID39175923
PMCPMC11339753

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.