Evidence map›Paper›PMID 28915825›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2017

Effect of a mobile app intervention on vegetable consumption in overweight adults: a randomized controlled trial.

Sarah Mummah, Thomas N Robinson, Maya Mathur, Sarah Farzinkhou, Stephen Sutton, Christopher D Gardner

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01826591 (Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?), which is not on this map. Cited by 42 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 8 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.

NCT01826591 nacompletednot on this map

Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?

TypeinterventionalSponsorStanford UniversityRan2013 to 2016Enrolled609ConditionsObesity, Insulin ResistanceArmsLow-Carbohydrate Diet, Low-Fat Diet, Mobile App
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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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

6 authors.

Sarah MummahDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA. sm885@cam.ac.uk.
Thomas N RobinsonDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Maya MathurDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Sarah FarzinkhouDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Stephen SuttonDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Christopher D GardnerDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1TR000093 · NCATS · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2012 to 2013
$6.5M
Do Genotype Patterns Predict Weight Loss Success for Low Carb vs. Low Fat Diets?R01DK091831 · NIDDK · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 2012 to 2016
$3.1M
NCATS NIH HHS UL1 TR000093NIDDK NIH HHS R01 DK091831
6 · The paper itself

Abstract

backgroundMobile applications (apps) have been heralded as transformative tools to deliver behavioral health interventions at scale, but few have been tested in rigorous randomized controlled trials. We tested the effect of a mobile app to increase vegetable consumption among overweight adults attempting weight loss maintenance.

methodsOverweight adults (n=135) aged 18-50 years with BMI=28-40 kg/m

resultsDaily vegetable consumption was significantly greater in the intervention versus control condition for both measures (adjusted mean difference: 2.0 servings; 95% CI: 0.1, 3.8, p=0.04 for FFQ; and 1.0 servings; 95% CI: 0.2, 1.9; p=0.02 for 24-hour recalls). Baseline vegetable consumption was a significant moderator of intervention effects (p=0.002) in which effects increased as baseline consumption increased.

conclusionsThese results demonstrate the efficacy of a mobile app to increase vegetable consumption among overweight adults. Theory-based mobile interventions may present a low-cost, scalable, and effective approach to improving dietary behaviors and preventing associated chronic diseases.

trial registrationClinicalTrials.gov NCT01826591. Registered 27 March 2013.

Indexed as

DietMobile ApplicationsOverweightVegetablesAdolescentAdultChoice BehaviorFemaleFood PreferencesHealth BehaviorHumansMaleMental RecallMiddle AgedSample SizeSurveys and QuestionnairesBehavior changeDesign thinkingDietDigitalmHealthMobileNutritionSmartphoneUser-centered designVegetables

Identifiers

PMID28915825
PMCPMC5603006

What OpenQuestion holds

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LicenceCC BY
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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.