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首页> 外文期刊>Health Psychology Open >Attentional bias toward high-calorie food-cues and trait motor impulsivity interactively predict weight gain:
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Attentional bias toward high-calorie food-cues and trait motor impulsivity interactively predict weight gain:

机译：对高热量食物提示和特质运动冲动的注意偏差可以交互式预测体重增加：

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摘要

Strong bottom-up impulses and weak top-down control may interactively lead to overeating and, consequently, weight gain. In the present study, female university freshmen were tested at the start of the first semester and again at the start of the second semester. Attentional bias toward high- or low-calorie food-cues was assessed using a dot-probe paradigm and participants completed the Barratt Impulsiveness Scale. Attentional bias and motor impulsivity interactively predicted change in body mass index: motor impulsivity positively predicted weight gain only when participants showed an attentional bias toward high-calorie food-cues. Attentional and non-planning impulsivity were unrelated to weight change. Results support findings showing that weight gain is prospectively predicted by a combination of weak top-down control (i.e. high impulsivity) and strong bottom-up impulses (i.e. high automatic motivational drive toward high-calorie food stimuli). They also highlight the fact that only specific aspects of impulsivity are relevant in eating and weight regulation.
机译：自下而上的强烈冲动和自上而下的控制不力可能交互导致暴饮暴食，进而导致体重增加。在本研究中，大学新生的女学生在第一学期初和第二学期初都接受了测试。使用点探针范式评估了对高热量或低热量食物提示的注意偏见，参与者完成了Barratt冲动量表。注意偏向和运动冲动交互地预测体重指数的变化：只有当参与者表现出对高热量食物提示注意偏向时，运动冲动才能积极预测体重增加。注意和非计划性冲动与体重变化无关。结果支持发现，表明体重增加是由弱的自上而下控制（即高冲动性）和强的自下而上的冲动（即对高热量食物刺激的高自动动机驱动力）共同预测的。他们还强调了这样一个事实，即只有冲动的特定方面与饮食和体重调节有关。

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