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Can Mindfulness Address Maladaptive Eating Behaviors? Why Traditional Diet Plans Fail and How New Mechanistic Insights May Lead to Novel Interventions

Overview of attention for article published in Frontiers in Psychology, September 2018
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
49 X users
facebook
3 Facebook pages

Citations

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60 Dimensions

Readers on

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282 Mendeley
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Title
Can Mindfulness Address Maladaptive Eating Behaviors? Why Traditional Diet Plans Fail and How New Mechanistic Insights May Lead to Novel Interventions
Published in
Frontiers in Psychology, September 2018
DOI 10.3389/fpsyg.2018.01418
Pubmed ID
Authors

Judson A. Brewer, Andrea Ruf, Ariel L. Beccia, Gloria I. Essien, Leonard M. Finn, Remko van Lutterveld, Ashley E. Mason

Abstract

Emotional and other maladaptive eating behaviors develop in response to a diversity of triggers, from psychological stress to the endless external cues in our modern food environment. While the standard approach to food- and weight-related concerns has been weight-loss through dietary restriction, these interventions have produced little long-term benefit, and may be counterproductive. A growing understanding of the behavioral and neurobiological mechanisms that underpin habit formation may explain why this approach has largely failed, and pave the way for a new generation of non-pharmacologic interventions. Here, we first review how modern food environments interact with human biology to promote reward-related eating through associative learning, i.e., operant conditioning. We also review how operant conditioning (positive and negative reinforcement) cultivates habit-based reward-related eating, and how current diet paradigms may not directly target such eating. Further, we describe how mindfulness training that targets reward-based learning may constitute an appropriate intervention to rewire the learning process around eating. We conclude with examples that illustrate how teaching patients to tap into and act on intrinsic (e.g., enjoying healthy eating, not overeating, and self-compassion) rather than extrinsic reward mechanisms (e.g., weighing oneself), is a promising new direction in improving individuals' relationship with food.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 282 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 15%
Student > Master 37 13%
Student > Bachelor 33 12%
Researcher 17 6%
Student > Doctoral Student 12 4%
Other 48 17%
Unknown 93 33%
Readers by discipline Count As %
Psychology 60 21%
Nursing and Health Professions 39 14%
Medicine and Dentistry 21 7%
Biochemistry, Genetics and Molecular Biology 13 5%
Agricultural and Biological Sciences 10 4%
Other 36 13%
Unknown 103 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 15 February 2023.
All research outputs
#410,695
of 26,513,654 outputs
Outputs from Frontiers in Psychology
#863
of 35,475 outputs
Outputs of similar age
#8,334
of 351,734 outputs
Outputs of similar age from Frontiers in Psychology
#29
of 745 outputs
Altmetric has tracked 26,513,654 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 35,475 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. 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 351,734 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 97% of its contemporaries.
We're also able to compare this research output to 745 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 96% of its contemporaries.