Evidence map›Paper›PMID 28600833›Full record

Trial reportObesity (Silver Spring, Md.)2017

The Dietary Intervention to Enhance Tracking with Mobile Devices (DIET Mobile) Study: A 6-Month Randomized Weight Loss Trial.

Gabrielle M Turner-McGrievy, Sara Wilcox, Alycia Boutté, Brent E Hutto, Camelia Singletary, Eric R Muth, Adam W Hoover

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

Trial report in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 59 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 9 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

59 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  11. Effect of Peanut Butter Intake on Sleep Health in Firefighters: A Randomized Controlled Trial.International journal of environmental research and public health · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Gabrielle M Turner-McGrievyDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Sara WilcoxDepartment of Exercise Science, Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Alycia BouttéDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Brent E HuttoPrevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Camelia SingletaryDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Eric R MuthDepartment of Psychology, Clemson University, Clemson, South Carolina, USA.
Adam W HooverHolcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, South Carolina, USA.

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

objectiveTo examine the use of two different mobile dietary self-monitoring methods for weight loss.

methodsAdults with overweight (n = 81; mean BMI 34.7 ± 5.6 kg/m

resultsAt 6 months, 75% of participants completed the trial. The App group lost significantly more weight (-6.8 ± 0.8 kg) than the Bite group (-3.0 ± 0.8 kg; group × time interaction: P < 0.001). Changes in energy intake (kcal/d) (-621 ± 157 App, -456 ± 167 Bite; P = 0.47) or number of days diet was tracked (90.7 ± 9.1 App, 68.4 ± 9.8 Bite; P = 0.09) did not differ between groups, but the Bite group had significant increases in physical activity metabolic equivalents (+2015.4 ± 684.6 min/wk; P = 0.02) compared to little change in the App group (-136.5 ± 630.6; P = 0.02). Total weight loss was significantly correlated with number of podcasts downloaded (r = -0.33, P < 0.01) and number of days diet was tracked (r = -0.33, P < 0.01).

conclusionsWhile frequency of diet tracking was similar between the App and Bite groups, there was greater weight loss observed in the App group.

Indexed as

Cell PhoneDietMobile ApplicationsWearable Electronic DevicesWeight Reduction ProgramsAdolescentAdultAgedEnergy IntakeExerciseFemaleHealth BehaviorHumansMaleMiddle AgedOverweight

Identifiers

PMID28600833
PMCPMC5529231

What OpenQuestion holds

Textmetadata
LicenceTDM
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.