↓ Skip to main content

Real-time sampling of reasons for hedonic food consumption: further validation of the Palatable Eating Motives Scale

Overview of attention for article published in Frontiers in Psychology, June 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Readers on

mendeley
107 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Real-time sampling of reasons for hedonic food consumption: further validation of the Palatable Eating Motives Scale
Published in
Frontiers in Psychology, June 2015
DOI 10.3389/fpsyg.2015.00744
Pubmed ID
Authors

Mary M. Boggiano, Lowell E. Wenger, Bulent Turan, Mindy M. Tatum, Maria D. Sylvester, Phillip R. Morgan, Kathryn E. Morse, Emilee E. Burgess

Abstract

Highly palatable foods play a salient role in obesity and binge-eating, and if habitually eaten to deal with intrinsic and extrinsic factors unrelated to metabolic need, may compromise adaptive coping and interpersonal skills. This study used event sampling methodology (ESM) to examine whether individuals who report eating palatable foods primarily to cope, to enhance reward, to be social, or to conform, as measured by the Palatable Eating Motives Scale (PEMS), actually eat these foods primarily for the motive(s) they report on the PEMS. Secondly this study examined if the previously reported ability of the PEMS Coping motive to predict BMI would replicate if the real-time (ESM-reported) coping motive was used to predict BMI. A total of 1691 palatable eating events were collected from 169 college students over 4 days. Each event included the day, time, and types of tasty foods or drinks consumed followed by a survey that included an abbreviated version of the PEMS, hunger as an additional possible motive, and a question assessing general perceived stress during the eating event. Two-levels mixed modeling confirmed that ESM-reported motives correlated most strongly with their respective PEMS motives and that all were negatively associated with eating for hunger. While stress surrounding the eating event was strongly associated with the ESM-coping motive, its inclusion in the model as a predictor of this motive did not abolish the significant association between ESM and PEMS Coping scores. Regression models confirmed that scores on the ESM-coping motive predicted BMI. These findings provide ecological validity for the PEMS to identify true-to-life motives for consuming palatable foods. This further adds to the utility of the PEMS in individualizing, and hence improving, treatment strategies for obesity, binge-eating, dietary nutrition, coping, reward acquisition, and psychosocial skills.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Sweden 1 <1%
Unknown 105 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Student > Master 14 13%
Student > Bachelor 11 10%
Researcher 8 7%
Student > Postgraduate 6 6%
Other 17 16%
Unknown 31 29%
Readers by discipline Count As %
Psychology 28 26%
Nursing and Health Professions 13 12%
Medicine and Dentistry 7 7%
Neuroscience 7 7%
Social Sciences 6 6%
Other 12 11%
Unknown 34 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 June 2015.
All research outputs
#15,688,569
of 23,313,051 outputs
Outputs from Frontiers in Psychology
#19,282
of 31,000 outputs
Outputs of similar age
#158,582
of 268,640 outputs
Outputs of similar age from Frontiers in Psychology
#404
of 532 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. 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 268,640 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 532 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.