Literature DB >> 31394314

A new approach to facilitating attentional disengagement from food cues in unsuccessful dieters: The bouncing image training task.

Nienke C Jonker1, Janika Heitmann2, Brian D Ostafin3, Colin MacLeod4, Klaske A Glashouwer5, Peter J de Jong3.   

Abstract

This study tested the capacity of a modified Bouncing Image Training Task (BITT) to enhance unsuccessful dieters' attentional disengagement from food cues. Unsuccessful dieters were assigned to a training group performing daily BITT sessions for one week (n = 57) or a waitlist control group (n = 56). Change in attention was assessed using a visual search task and an odd-one-out task. Impact of the BITT on food craving and food intake were also assessed. Participants in the training group, compared to waitlist controls, showed reduced attention to food cues from pre-to post-training. Moreover, the reduction in AB to food cues exhibited by those who completed the BITT reflected the relative facilitation of attentional disengagement from food cues, rather than a reduction in attention engagement with food cues. The groups did not differ on food craving or intake post-training. It is concluded that the BITT is a promising procedure for directly manipulating individuals' attentional disengagement from food cues, though its capacity to enhance dieting success has not yet been established.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attentional bias; Attentional bias modification; Obesity; Unsuccessful dieting

Mesh:

Year:  2019        PMID: 31394314     DOI: 10.1016/j.brat.2019.103445

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  2 in total

1.  A Promising Candidate to Reliably Index Attentional Bias Toward Alcohol Cues-An Adapted Odd-One-Out Visual Search Task.

Authors:  Janika Heitmann; Nienke C Jonker; Peter J de Jong
Journal:  Front Psychol       Date:  2021-02-10

2.  Application of Unsupervised Transfer Technique Based on Deep Learning Model in Physical Training.

Authors:  Quanbin Zhao; Hanqi Wang
Journal:  Comput Intell Neurosci       Date:  2022-04-14
  2 in total

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