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Social modeling of eating: A review of when and why social influence affects food intake and choice

机译:饮食的社会模型:回顾何时以及为什么社会影响会影响食物的摄取和选择

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A major determinant of human eating behavior is social modeling, whereby people use others' eating as a guide for what and how much to eat. We review the experimental studies that have independently manipulated the eating behavior of a social referent (either through a live confederate or remotely) and measured either food choice or intake. Sixty-nine eligible experiments (with over 5800 participants) were identified that were published between 1974 and 2014. Speaking to the robustness of the modeling phenomenon, 64 of these studies have found a statistically significant modeling effect, despite substantial diversity in methodology, food type, social context and participant demographics. In reviewing the key findings from these studies, we conclude that there is limited evidence for a moderating effect of hunger, personality, age, weight or the presence of others (i.e., where the confederate is live vs. remote). There is inconclusive evidence for whether sex, attention, impulsivity and eating goals moderate modeling, and for whether modeling of food choice is as strong as modeling of food intake. Effects with substantial evidence were: modeling is increased when individuals desire to affiliate with the model, or perceive themselves to be similar to the model; modeling is attenuated (but still significant) for healthy-snack foods and meals such as breakfast and lunch, and modeling is at least partially mediated through behavioral mimicry, which occurs without conscious awareness. We discuss evidence suggesting that modeling is motivated by goals of both affiliation and uncertainty-reduction, and outline how these might be theoretically integrated. Finally, we argue for the importance of taking modeling beyond the laboratory and bringing it to bear on the important societal challenges of obesity and disordered eating. (C) 2014 Elsevier Ltd. All rights reserved.
机译:人类进食行为的主要决定因素是社交模型,通过该模型人们可以将他人的进餐作为进食内容和进食量的指南。我们回顾了实验研究,这些研究独立地操纵了社交对象的进食行为(通过同伴生活或远程生活),并测量了食物选择或摄入量。确定了1974年至2014年之间发表的69项合格实验(超过5800名参与者)。谈到建模现象的鲁棒性,尽管方法,食物类型存在很大差异,但其中有64项研究发现了具有统计学意义的建模效果。 ,社交环境和参与者人口统计数据。在回顾这些研究的主要发现时,我们得出结论认为,仅有有限的证据证明饥饿,性格,年龄,体重或其他人的存在(即同盟是活着还是偏远的地方)有适度的影响。关于性别,注意力,冲动和饮食目标是否适度地建模以及食物选择的建模是否与食物摄入的建模一样强大,尚无定论。有大量证据的结果是:当个人希望加入模型或感觉自己与模型相似时,建模就会增加;健康零食和早餐(例如早餐和午餐)的建模被削弱(但仍然很重要),建模至少部分是通过行为模仿来进行的,这种模仿是在没有意识的情况下发生的。我们讨论的证据表明,建模是由隶属关系和减少不确定性两个目标驱动的,并概述了在理论上如何进行整合。最后,我们认为将建模超出实验室范围并使其承担肥胖和饮食失调的重要社会挑战的重要性。 (C)2014 Elsevier Ltd.保留所有权利。

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