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《食物选择问卷》的改编:以匈牙利为例。

Adaptation of the Food Choice Questionnaire: the case of Hungary.

作者信息

Szakály Zoltán, Kontor Enikő, Kovács Sándor, Popp József, Pető Károly, Polereczki Zsolt

机构信息

Institute of Marketing and Commerce, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary.

Institute of Sectorial Economics and Methodology, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary.

出版信息

Br Food J. 2018;120(7):1474-1488. doi: 10.1108/BFJ-07-2017-0404. Epub 2018 Jul 2.

Abstract

PURPOSE

The purpose of this paper is to examine the applicability of the original 36-item Food Choice Questionnaire (FCQ) model developed by Steptoe (1995) in Hungary.

DESIGN/METHODOLOGY/APPROACH: The national representative questionnaire involved 1,050 individuals in Hungary in 2015. Several multivariable statistical techniques were applied for the analysis of the data: confirmatory factor analysis, principal component analysis, and cluster and Log-linear analysis.

FINDINGS

The results indicate that the original nine-factor model is only partially applicable to Hungary. This study successfully managed to distinguish the following factors: health and natural content, mood, preparation convenience, price and purchase convenience, sensory appeal, familiarity, and ethical concern. The FCQ scales proved to be suitable for the description of clusters based on specific food choices and demographic characteristics. By using the factors, the following five clusters were identified: modern food enthusiast, tradition-oriented, optimizer, easy-choice and un-concerned, all of which could be addressed by public health policy with individually tailored messages.

ORIGINALITY/VALUE: The Hungarian testing process of the FCQ model contributes to an examination of its usability and provides the possibility of fitting the model to different cultures.

摘要

目的

本文旨在检验斯特普托(1995年)开发的原始36项食物选择问卷(FCQ)模型在匈牙利的适用性。

设计/方法/途径:2015年,这项具有全国代表性的问卷调查涉及匈牙利的1050个人。几种多变量统计技术被应用于数据分析:验证性因素分析、主成分分析、聚类分析和对数线性分析。

研究结果

结果表明,原始的九因素模型仅部分适用于匈牙利。本研究成功区分出以下因素:健康与天然成分、情绪、准备便利性、价格与购买便利性、感官吸引力、熟悉度和道德关注。FCQ量表被证明适用于根据特定食物选择和人口特征来描述聚类。通过使用这些因素,识别出了以下五个聚类:现代食物爱好者、传统导向型、优化者、易选者和不关心者,公共卫生政策可以针对所有这些聚类提供量身定制的信息。

原创性/价值:FCQ模型的匈牙利测试过程有助于检验其可用性,并为使该模型适用于不同文化提供了可能性。

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