Evidence map›Paper›PMID 31155473›Full record

Trial reportJournal of the Academy of Nutrition and Dietetics2019

Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.

Gabrielle M Turner-McGrievy, Caroline Glagola Dunn, Sara Wilcox, Alycia K Boutté, Brent Hutto, Adam Hoover, Eric Muth

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of the Academy of Nutrition and Dietetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
–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.

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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Self-relevant appeals to engage in self-monitoring of alcohol use: A microrandomized trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023
    Trial
  10. Responsiveness to mHealth Intervention for Cannabis Use in Young Adults Predicts Improved Outcomes.Prevention science : the official journal of the Society for Prevention Research · 2022
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  16. Feasibility and Acceptability of a Web-Based Dietary Intervention with Text Messages for Colorectal Cancer: A Randomized Pilot Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
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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

7 authors.

Gabrielle M Turner-McGrievy
Caroline Glagola Dunn
Sara Wilcox
Alycia K Boutté
Brent Hutto
Adam Hoover
Eric Muth

Funding

Increasing dietary self-monitoring and weight loss in an mHealth interventionR21CA187929 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TURNER-MCGRIEVY, GABRIELLE MICHELLE · 2015 to 2016
$353k
NCI NIH HHS R21 CA187929
6 · The paper itself

Abstract

backgroundMobile dietary self-monitoring methods allow for objective assessment of adherence to self-monitoring; however, the best way to define self-monitoring adherence is not known.

objectiveThe objective was to identify the best criteria for defining adherence to dietary self-monitoring with mobile devices when predicting weight loss.

designThis was a secondary data analysis from two 6-month randomized trials: Dietary Intervention to Enhance Tracking with Mobile Devices (n=42 calorie tracking app or n=39 wearable Bite Counter device) and Self-Monitoring Assessment in Real Time (n=20 kcal tracking app or n=23 photo meal app). PARTICIPANTS/

settingAdults (n=124; mean body mass index=34.7±5.6) participated in one of two remotely delivered weight-loss interventions at a southeastern university between 2015 and 2017.

interventionAll participants received the same behavioral weight loss information via twice-weekly podcasts. Participants were randomly assigned to a specific diet tracking method.

main outcome measuresSeven methods of tracking adherence to self-monitoring (eg, number of days tracked, and number of eating occasions tracked) were examined, as was weight loss at 6 months. STATISTICAL ANALYSES PERFORMED: Linear regression models estimated the strength of association (R

resultsAmong all study completers combined (N=91), adherence defined as the overall number of days participants tracked at least two eating occasions explained the most variance in weight loss at 6 months (R

conclusionsUsing the total number of days at least two eating occasions are tracked using a mobile self-monitoring method may be the best way to assess self-monitoring adherence during weight loss interventions. This study shows that self-monitoring rates decline quickly and elucidates potential times for early interventions to stop the reductions in self-monitoring.

Indexed as

Diet, ReducingPatient ComplianceTelemedicineAdultBehavior TherapyEthnicityFeeding BehaviorFemaleHumansMaleMiddle AgedSelf CareUnited StatesWeight LossWeight Reduction ProgramsAdherenceDietmHealthSelf-monitoringWeight loss

Identifiers

PMID31155473
PMCPMC6856872

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.