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Believing that certain foods are addictive is associated with support for obesity-related public policies

Overview of attention for article published in Preventive Medicine, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
55 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
55 Mendeley
Title
Believing that certain foods are addictive is associated with support for obesity-related public policies
Published in
Preventive Medicine, September 2016
DOI 10.1016/j.ypmed.2016.06.018
Pubmed ID
Authors

Alyssa Moran, Aviva Musicus, Jackie Soo, Ashley N. Gearhardt, Sarah E. Gollust, Christina A. Roberto

Abstract

There is a growing body of evidence suggesting that certain foods may be addictive. Although evidence that nicotine is addictive generated support for anti-tobacco policies, little research has examined whether beliefs about the addictiveness of food are associated with support for policies to address overconsumption of nutritionally poor foods. U.S. adults (n=999) recruited from an online marketplace in February 2015 completed a survey. Using logistic regression, we examined the relationship between beliefs about the addictiveness of certain foods and support for twelve obesity-related policies while controlling for demographics, health status, political affiliation and ideology, beliefs about obesity, and attitudes towards food companies. We examined whether the association between beliefs about addictiveness and support for policies was consistent across other products and behaviors viewed as addictive (i.e., tobacco, alcohol, drugs, compulsive behaviors). In multivariable models, there was a significant association (OR; 95% CI) between beliefs about addictiveness and support for policies for compulsive behaviors (1.48; 1.26-1.74), certain foods (1.32; 1.14-1.53), drugs (1.23; 1.05-1.45), and alcohol (1.21; 1.08-1.36) but not for tobacco (1.11; 0.90-1.37). For foods, the association between beliefs about addictiveness and obesity-related policy support was the strongest between such beliefs and support for labels warning that certain foods may be addictive, industry reductions in salt and sugar, energy drink bans, and sugary drink portion size limits. Overall, believing that products/behaviors are addictive was associated with support for policies intended to curb their use. If certain foods are found to be addictive, framing them as such may increase obesity-related policy support.

Twitter Demographics

The data shown below were collected from the profiles of 55 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Master 9 16%
Student > Bachelor 8 15%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 6 11%
Other 16 29%
Readers by discipline Count As %
Medicine and Dentistry 12 22%
Psychology 11 20%
Social Sciences 9 16%
Unspecified 4 7%
Nursing and Health Professions 4 7%
Other 15 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 07 October 2019.
All research outputs
#413,317
of 13,622,686 outputs
Outputs from Preventive Medicine
#209
of 3,377 outputs
Outputs of similar age
#13,198
of 261,215 outputs
Outputs of similar age from Preventive Medicine
#11
of 90 outputs
Altmetric has tracked 13,622,686 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has done particularly well, scoring higher than 93% 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 261,215 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.