心理科学 ›› 2021, Vol. ›› Issue (3): 651-658.

• 社会、人格与管理 • 上一篇    下一篇

超重女性对食物信息加工的注意偏向和记忆偏向

冷雪晨1,陈红1,边子茗1,史攀2,黄于飞2   

  1. 1. 西南大学心理学部
    2. 西南大学
  • 收稿日期:2020-01-17 修回日期:2020-10-23 出版日期:2021-05-20 发布日期:2021-05-20
  • 通讯作者: 陈红

Attention Bias and Memory Bias in Food Information Processing Among Overweight Females

  • Received:2020-01-17 Revised:2020-10-23 Online:2021-05-20 Published:2021-05-20

摘要: 采用与食物图片相关的点探测任务和学习—再认范式考察超重女性对不同热量食物信息的注意偏向和记忆偏向。结果发现:(1) 超重女性对高热量食物信息存在注意警觉—注意脱离困难模式,对低热量食物信息仅表现为注意回避模式。(2) 超重组女性对高热量食物信息的再认正确率显著高于正常体重组,而对低热量食物信息的再认成绩组间差异不显著。研究结果证实了超重女性对高热量食物信息投入更多的认知资源,存在注意偏向和记忆偏向。

关键词: 超重, 食物信息, 注意偏向, 记忆偏向

Abstract: Cognitive processing of individuals on food information affects food choices and eating behaviors, and high responsiveness to food cues is often a potential cause of overeating. The cognitive-motivational model proposes that for individuals with excess weight, high-calorie food was particularly rewarding, this type of food was an important cue grabbing their attention, and could increase the activation of brain areas that relate to reward processing, such food stimuli can more easily enter the memory system, which in turn produces memory bias. Although some studies have confirmed that overweight people have attention bias and memory bias towards food information, whether the attention bias of overweight groups on food information is a single attention component or a process of dynamic changes in multiple attention bias components has not yet reached a consensus conclusion. Besides, most studies on memory bias in food information processing among overweight do not consider the issue of food energy, so whether there is a difference in memory bias on high- and low-calorie foods by overweight people, their cognitive characteristics and processing methods need to be further proven. In total, 30 overweight female college students and 30 normal-weight female college students were tested successively with the dot-probe task and learning-recognition paradigm related to food pictures. A modified visual dot-probe paradigm was adopted to measure attention bias. We used 20 high-calorie food pictures, 20 low-calorie food pictures, and 60 neutral pictures as stimuli. A learning-recognition paradigm was adopted to measure memory bias. The participants have been presented with 96 old pictures and 96 new pictures (half each of high- and low-calorie food pictures) in a pseudo-random order, and then they were requested to judge whether or not the pictures had appeared in phase one. The results showed the following: (1) In the dot-probe task, the attention?vigilance index of overweight group on high-calorie food pictures was remarkably higher than that of the control group (F(1,58) = 7.718, p < .01, η2 = .117). However, there was no significant difference between overweight group and control group in the attention?vigilance index of low-calorie food pictures (F(1,58) = 1.179, p > .05). In the later stage of attention processing, the index of difficulty in attention disengagement of overweight group on high-calorie food pictures was tremendously higher than that in the control group (F(1,58) = 11.268, p = .001, η2 = .163). The index of difficulty in distracting attention from low-calorie food pictures in overweight group was notably lower than that of the control group, and it was presented as avoidance of attention (F(1,58) = 10.68, p < .01, η2 = .156). (2) The results of learning-recognition paradigm showed that the accuracy of recognition of high-calorie food pictures among overweight females was significantly higher than that of the control group (F(1,58) = 11.955, p = .001, η2 = .171), while the accuracy rate of recognition of low-calorie food pictures had no significant group difference (F(1,58) = .852, p > .05). This conclusion validated the cognitive motivation model, that was, overweight females were more sensitive and responsive to high-calorie food information with reward value and tended to invest more in acquiring motivation and cognitive resources. The results of this study help to uncover the inherent causes of overweight or weight gain, and provide practical solutions for designing food cognitive bias training programs for overweight groups as well.

Key words: overweight, food information, attention bias, memory bias