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Interrelationships among impulsive personality traits, food addiction, and Body Mass Index

Overview of attention for article published in Appetite, February 2014
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
16 news outlets
blogs
1 blog
twitter
10 X users
googleplus
4 Google+ users

Citations

dimensions_citation
222 Dimensions

Readers on

mendeley
337 Mendeley
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Title
Interrelationships among impulsive personality traits, food addiction, and Body Mass Index
Published in
Appetite, February 2014
DOI 10.1016/j.appet.2013.10.008
Pubmed ID
Authors

Cara M. Murphy, Monika K. Stojek, James MacKillop

Abstract

Objective Impulsive personality traits have been robustly associated with alcohol and drug misuse, but have received little attention in the context of food addiction. The goal of the current study was to examine the interrelationships between impulsive personality traits, food addiction, and Body Mass Index (BMI), including indirect pathways of influence. Method: Participants (N=233) completed the Yale Food Addiction Scale (YFAS) to assess patterns of addictive consumption of food, the UPPS-P Impulsivity Scale to assess impulsive personality traits, and provided weight and height to generate BMI. Results: Significant positive associations were found between facets of impulsivity, food addiction symptoms, and BMI. Impulsivity was found to be indirectly associated with BMI by way of associations with addictive consumption of food. In particular, an inclination toward behaving irrationally while experiencing negative mood states (Negative Urgency) and low levels of task persistence (lack of Perseverance) were significantly associated with food addiction directly and that relationship was responsible for their relationship to BMI. Conclusions: Dispositional impulsivity, routinely associated with high-risk behaviors including addictive consumption of alcohol and drugs, may be an important risk factor when considering tendency to engage in addictive consumption of food. Monitoring food addiction symptoms early may help reduce the likelihood that compulsive food consumption patterns result in weight gain and obesity. Methodological considerations are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 <1%
Indonesia 1 <1%
Australia 1 <1%
Canada 1 <1%
Belgium 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 328 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 18%
Student > Bachelor 52 15%
Student > Master 45 13%
Researcher 40 12%
Student > Doctoral Student 26 8%
Other 50 15%
Unknown 62 18%
Readers by discipline Count As %
Psychology 137 41%
Medicine and Dentistry 41 12%
Agricultural and Biological Sciences 21 6%
Neuroscience 20 6%
Nursing and Health Professions 13 4%
Other 34 10%
Unknown 71 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 141. 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 04 February 2015.
All research outputs
#243,816
of 22,727,570 outputs
Outputs from Appetite
#132
of 4,416 outputs
Outputs of similar age
#2,538
of 307,200 outputs
Outputs of similar age from Appetite
#4
of 47 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,416 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done particularly well, scoring higher than 97% 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 307,200 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 99% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.