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双加工理论与消费者对包装正面营养标签格式的反应。

Dual-process theory and consumer response to front-of-package nutrition label formats.

作者信息

Sanjari S Setareh, Jahn Steffen, Boztug Yasemin

机构信息

Faculty of Economic Sciences, University of Goettingen, Germany.

出版信息

Nutr Rev. 2017 Nov 1;75(11):871-882. doi: 10.1093/nutrit/nux043.

Abstract

Nutrition labeling literature yields fragmented results about the effect of front-of-package (FOP) nutrition label formats on healthy food choice. Specifically, it is unclear which type of nutrition label format is effective across different shopping situations. To address this gap, the present review investigates the available nutrition labeling literature through the prism of dual-process theory, which posits that decisions are made either quickly and automatically (system 1) or slowly and deliberately (system 2). A systematically performed review of nutrition labeling literature returned 59 papers that provide findings that can be explained according to dual-process theory. The findings of these studies suggest that the effectiveness of nutrition label formats is influenced by the consumer's dominant processing system, which is a function of specific contexts and personal variables (eg, motivation, nutrition knowledge, time pressure, and depletion). Examination of reported findings through a situational processing perspective reveals that consumers might prefer different FOP nutrition label formats in different situations and can exhibit varying responses to the same label format across situations. This review offers several suggestions for policy makers and researchers to help improve current FOP nutrition label formats.

摘要

营养标签文献对于包装正面(FOP)营养标签格式对健康食品选择的影响给出了零散的结果。具体而言,尚不清楚哪种类型的营养标签格式在不同的购物情境中是有效的。为了填补这一空白,本综述通过双加工理论的视角对现有的营养标签文献进行了调查,该理论认为决策是快速且自动地做出(系统1),或者是缓慢且审慎地做出(系统2)。对营养标签文献进行的系统综述检索到了59篇论文,这些论文提供的研究结果可以根据双加工理论来解释。这些研究的结果表明,营养标签格式的有效性受到消费者占主导地位的加工系统的影响,而这是特定情境和个人变量(如动机、营养知识、时间压力和耗竭)的函数。从情境加工的角度审视所报告的研究结果发现,消费者在不同情境下可能更喜欢不同的FOP营养标签格式,并且在不同情境下对相同的标签格式可能会表现出不同的反应。本综述为政策制定者和研究人员提供了若干建议,以帮助改进当前的FOP营养标签格式。

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