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Using a computational model to quantify the potential impact of changing the placement of healthy beverages in stores as an intervention to “Nudge” adolescent behavior choice

Overview of attention for article published in BMC Public Health, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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13 X users

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129 Mendeley
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Title
Using a computational model to quantify the potential impact of changing the placement of healthy beverages in stores as an intervention to “Nudge” adolescent behavior choice
Published in
BMC Public Health, December 2015
DOI 10.1186/s12889-015-2626-0
Pubmed ID
Authors

Michelle S. Wong, Claudia Nau, Anna Yevgenyevna Kharmats, Gabriela Milhassi Vedovato, Lawrence J. Cheskin, Joel Gittelsohn, Bruce Y. Lee

Abstract

Product placement influences consumer choices in retail stores. While sugar sweetened beverage (SSB) manufacturers expend considerable effort and resources to determine how product placement may increase SSB purchases, the information is proprietary and not available to the public health and research community. This study aims to quantify the effect of non-SSB product placement in corner stores on adolescent beverage purchasing behavior. Corner stores are small privately owned retail stores that are important beverage providers in low-income neighborhoods - where adolescents have higher rates of obesity. Using data from a community-based survey in Baltimore and parameters from the marketing literature, we developed a decision-analytic model to simulate and quantify how placement of healthy beverage (placement in beverage cooler closest to entrance, distance from back of the store, and vertical placement within each cooler) affects the probability of adolescents purchasing non-SSBs. In our simulation, non-SSB purchases were 2.8 times higher when placed in the "optimal location" - on the second or third shelves of the front cooler - compared to the worst location on the bottom shelf of the cooler farthest from the entrance. Based on our model results and survey data, we project that moving non-SSBs from the worst to the optional location would result in approximately 5.2 million more non-SSBs purchased by Baltimore adolescents annually. Our study is the first to quantify the potential impact of changing placement of beverages in corner stores. Our findings suggest that this could be a low-cost, yet impactful strategy to nudge this population-highly susceptible to obesity-towards healthier beverage decisions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 <1%
Brazil 1 <1%
Unknown 127 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 20%
Student > Bachelor 21 16%
Student > Ph. D. Student 16 12%
Researcher 15 12%
Student > Doctoral Student 11 9%
Other 21 16%
Unknown 19 15%
Readers by discipline Count As %
Medicine and Dentistry 19 15%
Social Sciences 17 13%
Nursing and Health Professions 16 12%
Agricultural and Biological Sciences 13 10%
Psychology 8 6%
Other 28 22%
Unknown 28 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 January 2016.
All research outputs
#3,280,314
of 22,836,570 outputs
Outputs from BMC Public Health
#3,779
of 14,878 outputs
Outputs of similar age
#59,415
of 390,595 outputs
Outputs of similar age from BMC Public Health
#59
of 255 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 390,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.