Evidence map›Paper›PMID 32491152›Full record

Trial reportAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2021

Weight-Related Information Avoidance Prospectively Predicts Poorer Self-Monitoring and Engagement in a Behavioral Weight Loss Intervention.

Leah M Schumacher, Mary K Martinelli, Alexandra D Convertino, Evan M Forman, Meghan L Butryn

Registry-linked trialOpen access · greenAbstract readClinical Trial
In one paragraph

Trial report in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03337139 (Improving Weight Loss Maintenance by Using Digital Data Sharing to Provide Responsive Support and Accountability), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
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.

NCT03337139 nacompletednot on this map

Improving Weight Loss Maintenance by Using Digital Data Sharing to Provide Responsive Support and Accountability

TypeinterventionalSponsorDrexel UniversityRan2017 to 2019Enrolled87ConditionsObesity, Overweight, Overweight and Obesity, Weight LossArmsGold Standard Behavior Therapy for Weight Loss, Standard Remote Behavior Therapy for Weight Loss, Digital Data Sharing Behavior Therapy for Weight Loss
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

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  5. Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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

5 authors at 3 institutions in 1 country.

Leah M SchumacherDepartment of Psychiatry and Human Behavior, The Warren Alpert Medical School of Brown University, RI, USA.
Mary K MartinelliDepartment of Psychology, Drexel University, Philadelphia, PA, USA.
Alexandra D ConvertinoSan Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
Evan M FormanDepartment of Psychology, Drexel University, Philadelphia, PA, USA.
Meghan L ButrynDepartment of Psychology, Drexel University, Philadelphia, PA, USA.
Drexel University · USBrown University · USSan Diego State University · US

Funding

Training in Behavioral & Preventive MedicineT32HL076134 · NHLBI · MIRIAM HOSPITAL · PI John Graham Thomas · 2006 to 2026
$5.7M
Improving Weight Loss Maintenance by Using Digital Data Sharing to Provide Responsive Support and AccountabilityR21DK112741 · NIDDK · DREXEL UNIVERSITY · PI BUTRYN, MEGHAN · 2017 to 2018
$425k
NHLBI NIH HHS T32 HL076134NIDDK NIH HHS R21 DK112741
6 · The paper itself

Abstract

backgroundSelf-monitoring is a key component of behavioral weight loss (BWL) interventions. Past research suggests that individuals may avoid self-monitoring in certain contexts (e.g., skipping self-weighing after higher-than-usual calorie intake). However, no studies have attempted to quantify individuals' inclination to avoid information about their weight control ("weight-related information avoidance"; WIA) or prospectively examined its implications for treatment engagement and outcomes in BWL programs. PURPOSE: Characterize WIA using a validated questionnaire among adults enrolled in BWL treatment and examine whether WIA prospectively predicts self-monitoring adherence, session attendance, treatment discontinuation, or weight loss.

methodsParticipants (N = 87; MBMI = 34.9 kg/m2, 83% female) completed a measure of WIA prior to starting a 12 week, group-based BWL intervention. Participants were given digital self-monitoring tools and instructed to self-monitor their food intake daily, physical activity daily, and body weight weekly (Weeks 1-10) and then daily (Weeks 11-12). Session attendance and treatment discontinuation were recorded. Weight was measured in-clinic pretreatment and posttreatment.

resultsWhile mean WIA was low (M = 2.23, standard deviation [SD] = 0.95; potential scale range: 1-7), greater WIA predicted poorer attendance (r = -.23; p = .03) and poorer self-monitoring of physical activity (r = -.28; p = .009) and body weight (r = -.32; p = .003). WIA did not predict food monitoring (p = .08), treatment discontinuation (p = .09), or 12 week weight loss (p = .91).

conclusionsGreater WIA, as assessed via a brief questionnaire, may place individuals at risk for poorer self-monitoring and treatment engagement during BWL. Further research on the implications of WIA in the context of weight management is warranted, including evaluation of correlates, moderators, and mechanisms of action of WIA. CLINICAL

trial registrationNCT03337139.

Indexed as

Weight LossWeight Reduction ProgramsAdultBehavior TherapyBody WeightEnergy IntakeExerciseFemaleHumansMaleMiddle AgedSelf-ManagementTreatment Adherence and ComplianceTreatment OutcomeAdherenceAvoidanceLifestyle modificationObesitySelf-monitoring

Identifiers

PMID32491152
PMCPMC7962887
OpenAlexW3029439167

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.