↓ Skip to main content

Use of a clay modeling task to reduce chocolate craving

Overview of attention for article published in Appetite, February 2012
Altmetric Badge

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 (92nd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
10 X users
facebook
1 Facebook page
googleplus
78 Google+ users

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
118 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
Use of a clay modeling task to reduce chocolate craving
Published in
Appetite, February 2012
DOI 10.1016/j.appet.2012.02.044
Pubmed ID
Authors

Jackie Andrade, Sally Pears, Jon May, David J. Kavanagh

Abstract

Elaborated Intrusion theory (EI theory; Kavanagh, Andrade, & May, 2005) posits two main cognitive components in craving: associative processes that lead to intrusive thoughts about the craved substance or activity, and elaborative processes supporting mental imagery of the substance or activity. We used a novel visuospatial task to test the hypothesis that visual imagery plays a key role in craving. Experiment 1 showed that spending 10 min constructing shapes from modeling clay (plasticine) reduced participants' craving for chocolate compared with spending 10 min 'letting your mind wander'. Increasing the load on verbal working memory using a mental arithmetic task (counting backwards by threes) did not reduce craving further. Experiment 2 compared effects on craving of a simpler verbal task (counting by ones) and clay modeling. Clay modeling reduced overall craving strength and strength of craving imagery, and reduced the frequency of thoughts about chocolate. The results are consistent with EI theory, showing that craving is reduced by loading the visuospatial sketchpad of working memory but not by loading the phonological loop. Clay modeling might be a useful self-help tool to help manage craving for chocolate, snacks and other foods.

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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Unknown 115 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 20%
Student > Bachelor 19 16%
Researcher 17 14%
Student > Master 12 10%
Professor 6 5%
Other 21 18%
Unknown 19 16%
Readers by discipline Count As %
Psychology 44 37%
Medicine and Dentistry 10 8%
Neuroscience 5 4%
Social Sciences 4 3%
Engineering 3 3%
Other 21 18%
Unknown 31 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 110. 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 10 May 2020.
All research outputs
#386,724
of 25,632,496 outputs
Outputs from Appetite
#236
of 4,813 outputs
Outputs of similar age
#1,658
of 168,643 outputs
Outputs of similar age from Appetite
#4
of 55 outputs
Altmetric has tracked 25,632,496 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 4,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one has done particularly well, scoring higher than 95% 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 168,643 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 55 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 92% of its contemporaries.