Evidence map›Paper›PMID 40182625›Full record

ArticleHealth psychology and behavioral medicine2025

Within-week and within-year patterns in self-monitoring of dietary intake in adults with obesity participating in a behavioral weight loss program.

Kathryn M Ross, Taylor N Swanson, Kelsey M Arroyo, Armaan Shetty, Meena N Shankar, Rebecca A Krukowski

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

Article in Health psychology and behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04116853 (Evaluation of an Adaptive Intervention for Weight Loss Maintenance), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT04116853 nacompletednot on this map

Evaluation of an Adaptive Intervention for Weight Loss Maintenance

TypeinterventionalSponsorUniversity of FloridaRan2019 to 2024Enrolled255ConditionsObesityArmsADAPTIVE Extended-Care Program, STATIC Extended-Care Program
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Do routinized eating behaviors support weight loss? An examination of food logs from behavioral weight loss participants.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
    Article
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.

Kathryn M RossDepartment of Clinical & Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Taylor N SwansonDepartment of Clinical & Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Kelsey M ArroyoDepartment of Clinical & Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Armaan ShettyDepartment of Clinical & Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Meena N ShankarDepartment of Clinical & Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Rebecca A KrukowskiDepartment of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.

Funding

Evaluation of an Adaptive Intervention for Weight Loss MaintenanceR01DK119244 · NIDDK · UNIVERSITY OF FLORIDA · PI ROSS, KATHRYN MARIE · 2019 to 2023
$3.0M
NIDDK NIH HHS R01 DK119244
6 · The paper itself

Abstract

Introduction: Seasonal and within-week variation has been documented in relation to body weight change and self-weighing; however, less is known regarding how patterns of self-monitoring dietary intake vary over time. Methods: The current study conducted secondary data analysis from a larger weight management trial to examine within-week and within-year patterns of dietary self-monitoring in 446 adults with obesity (mean ± Results: There was significant variation in self-monitoring adherence and caloric intake across days of the week, Discussion: Results demonstrate differences in dietary self-monitoring adherence and caloric intake within-week and within-year, with effects moderated by age and gender. Taken together with research demonstrating that additional support may improve adherence to self-monitoring during high-risk times (e.g. holiday seasons), future research should replicate these findings and identify additional predictors of self-monitoring adherence, supporting the development of novel, individually- and contextually-adaptable interventions.

Indexed as

dietary intakeObesityoverweightself-monitoringweight loss

Identifiers

PMID40182625
PMCPMC11966970

What OpenQuestion holds

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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.