Modeling of food intake: a meta-analytic review
Modeling of food intake: a meta-analytic review
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DOI：
10.1080/15534510.2015.1008037
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发表时间：
2015-07-03
期刊：
影响因子：
1.7
通讯作者：
Polivy, Janet
中科院分区：
文献类型：
--
作者：
Vartanian, Lenny R.;Spanos, Samantha;Polivy, Janet
这项荟萃分析为食物摄入建模研究提供了全面的定量评估。三十八篇文章符合纳入标准。总体而言，存在很大的建模效应（r=.39），当同伴吃得更多时，参与者吃得更多，而当同伴吃得更少时，参与者吃得更少。此外，社会模型的抑制效应似乎比增强效应更强。调节者分析表明，相关性研究与实验性研究、女性与男性的影响更大。使用现场同伴与远程同伴进行的研究，或者对于对适当饮食的关注度高或低的参与者，效果大小没有差异。总之，这些发现表明建模对食物摄入具有强大而强大的影响。
This meta-analysis provides a comprehensive quantitative assessment of research on modeling of food intake. Thirty-eight articles met inclusion criteria. Overall, there was a large modeling effect (r=.39) such that participants ate more when their companion ate more, and ate less when their companion ate less. Furthermore, social models appear to have stronger inhibitory effects than augmenting effects. Moderator analyses indicated that there were larger effects for correlational versus experimental studies, and for women versus men. There was no difference in effect sizes for studies using a live versus remote confederate, or for participants who were high or low in concern with eating appropriately. Together, these findings point to modeling as a robust and powerful influence on food intake.