Department of Psychology, Drexel University, Philadelphia, Pennsylvania, USA.
Obesity (Silver Spring). 2011 Aug;19(8):1574-9. doi: 10.1038/oby.2010.335. Epub 2011 Jan 27.
Obesity has been promoted by a food environment that encourages excessive caloric intake. An understanding of how the food environment contributes to obesogenic eating behavior in different types of individuals may facilitate healthy weight control efforts. In this study, Ecological Momentary Assessment (EMA) via palmtop computers was used to collect real-time information about participants' environment and eating patterns to predict overeating (i.e., greater than usual intake during routine meals/snacks, and eating outside of a participant's normal routine) that could lead to weight gain. Thirty-nine women (BMI = 21.6 ± 1.8; age = 20.1 ± 2.0 years; 61% white) of normal weight (BMI 18.5-25) completed the Three Factor Eating Questionnaire and the Power of Food Scale (PFS), and carried a palmtop computer for 7-10 days, which prompted them to answer questions about eating events, including a count of the types of good tasting high-calorie foods that were available. None of the self-report measures predicted overeating, but BMI interacted with the number of palatable foods available to predict overeating (P = 0.035). Compared to leaner individuals who reported a relatively low frequency of overeating regardless of the availability of palatable food, the probability of overeating among heavier individuals was very low in the absence of palatable food, but quickly increased in proportion to the number of palatable foods available. Our findings suggest that the eating behavior of those with higher relative weights is susceptible to the presence of palatable foods in the environment. Individuals practicing weight control may benefit from limiting their exposure to good tasting high-calorie food in their immediate environment.
肥胖是由鼓励过度摄入卡路里的食物环境所导致的。了解食物环境如何促成不同类型个体的致肥胖饮食习惯,可能有助于健康的体重控制努力。在这项研究中,通过掌上电脑进行生态瞬时评估(EMA),实时收集参与者环境和饮食模式的信息,以预测可能导致体重增加的暴饮暴食(即在常规餐/零食期间摄入比平时更多的食物,以及在正常饮食时间之外进食)。39 名体重正常的女性(BMI = 21.6 ± 1.8;年龄 = 20.1 ± 2.0 岁;61%为白人)完成了三因素饮食问卷和食物力量量表(PFS),并携带掌上电脑 7-10 天,提示她们回答关于饮食事件的问题,包括可食用的美味高热量食物的种类计数。没有任何自我报告的测量指标可以预测暴饮暴食,但 BMI 与可食用食物的数量相互作用,预测暴饮暴食(P = 0.035)。与报告暴饮暴食频率相对较低的较瘦个体相比,无论可食用食物的可用性如何,较重个体的暴饮暴食概率在没有可食用食物的情况下非常低,但随着可食用食物数量的增加,暴饮暴食的概率迅速增加。我们的发现表明,体重较高个体的饮食行为容易受到环境中美味食物的影响。控制体重的个体可能受益于限制他们接触周围美味高热量食物。