Evidence map›Paper›PMID 27501724›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2016

Iterative development of Vegethon: a theory-based mobile app intervention to increase vegetable consumption.

Sarah A Mummah, Abby C King, Christopher D Gardner, Stephen Sutton

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2016. 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 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Effect of a mobile app intervention on vegetable consumption in overweight adults: a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2017
    Trial
  8. Article
  9. Review
  10. A design thinking-led approach to develop a responsive feeding intervention for Australian families vulnerable to food insecurity: Eat, Learn, Grow.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  11. Article
  12. Article
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  14. Co-Design of an eHealth Intervention to Reduce Cardiovascular Disease Risk in Male Taxi Drivers: ManGuard.International journal of environmental research and public health · 2022
    Article
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  16. Review
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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

4 authors.

Sarah A MummahBehavioural Science Group, Institute of Public Health, University of Cambridge, Cambridge, UK. sm885@cam.ac.uk.ORCID http://orcid.org/0000-0001-9154-4510
Abby C KingStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Christopher D GardnerStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Stephen SuttonBehavioural Science Group, Institute of Public Health, University of Cambridge, Cambridge, UK.

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
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 TR000093NCATS NIH HHS UL1 TR001085NIDDK NIH HHS R01DK0091831NIDDK NIH HHS R01 DK091831
6 · The paper itself

Abstract

backgroundMobile technology may serve as a cost-effective and scalable tool for delivering behavioral nutrition interventions. This research sought to iteratively develop a theory-driven mobile app, Vegethon, to increase vegetable consumption.

methodsDevelopment of Vegethon followed phases outlined by the IDEAS framework: 1) empathize with users (qualitative interviews, n = 18); 2) specify target behavior; 3) ground in behavioral theory; 4) ideate implementation strategies; 5) prototype potential products; 6) gather user feedback (qualitative interviews, n = 14; questionnaire, n = 41); 7) build minimum viable product; and 8) pilot potential efficacy and usability (pilot RCT, n = 17). Findings from each phase informed subsequent phases. The target population that informed intervention development was 18-50 years of age, had BMIs of 28-40 kg/m(2), and lived in the geographical area surrounding Stanford University. A full description of the final version of Vegethon is included in the paper.

resultsQualitative findings that shaped initial intervention conception were: participants' interests in accountability without judgment; their desire for simple and efficient dietary self-monitoring; and the importance of planning meals in advance. Qualitative findings identified during intervention refinement were the need for a focus on vegetable self-monitoring; inclusion of vegetable challenges; simplification of features; advice and inspiration for eating vegetables; reminder notifications; and peer comparison. Pilot RCT findings suggested the initial efficacy, acceptance, and feasibility of the intervention. The final version of Vegethon enabled easy self-monitoring of vegetable consumption and included a range of features designed to engage the user (e.g., surprise challenges; leaderboard; weekly reports). Vegethon was coded for its inclusion of 18 behavior change techniques (BCTs) (e.g., goal setting; feedback; social comparison; prompts/cues; framing/reframing; identity).

conclusionsVegethon is a theory-based, user-informed mobile intervention that was systematically developed using the IDEAS framework. Vegethon targets increased vegetable consumption among overweight adults and is currently being evaluated in a randomized controlled efficacy trial.

trial registrationClinical Trials.gov: NCT01826591.

Indexed as

DietFeeding BehaviorHealth BehaviorMobile ApplicationsTelemedicineVegetablesAdultBehavior TherapyEatingFeasibility StudiesFeedbackFemaleHealth PromotionHumansMaleMiddle AgedBehavior designDesign thinkingDietmHealthMobilePersuasive designProcess motivatorsSmartphoneUser-centered designVegetables

Identifiers

PMID27501724
PMCPMC4977881

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.