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

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

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8 tweeters
facebook
1 Facebook page

Citations

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48 Dimensions

Readers on

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372 Mendeley
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Title
Iterative development of Vegethon: a theory-based mobile app intervention to increase vegetable consumption
Published in
International Journal of Behavioral Nutrition and Physical Activity, August 2016
DOI 10.1186/s12966-016-0400-z
Pubmed ID
Authors

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

Abstract

Mobile 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. Development 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. Qualitative 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). Vegethon 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. Clinical Trials.gov: NCT01826591.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 367 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 69 19%
Student > Ph. D. Student 67 18%
Researcher 41 11%
Student > Bachelor 40 11%
Student > Doctoral Student 28 8%
Other 54 15%
Unknown 73 20%
Readers by discipline Count As %
Medicine and Dentistry 52 14%
Psychology 45 12%
Nursing and Health Professions 45 12%
Computer Science 36 10%
Social Sciences 23 6%
Other 77 21%
Unknown 94 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2017.
All research outputs
#4,477,627
of 18,952,180 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#1,190
of 1,742 outputs
Outputs of similar age
#68,820
of 274,414 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#13
of 13 outputs
Altmetric has tracked 18,952,180 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 274,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.