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      Examination of the Eating Behavior of the Hungarian Population Based on the TFEQ-R21 Model

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          Abstract

          Several theories have emerged to study types of eating behavior leading to obesity, but most of the applied models are mainly related to food choice decisions and food consumer behavior. The purpose of this paper was to examine the eating attitudes of Hungarian consumers by applying the Three-Factor Eating Questionnaire (TFEQ-R21). The national representative questionnaire involved 1000 individuals in Hungary in 2019. Several multivariate statistical techniques were applied for the data analysis: exploratory and confirmatory factor analyses, multivariate data reduction techniques, and cluster analysis. This study successfully managed to distinguish the following factors: emotional eating, uncontrolled eating, and cognitive restraint. By using the factors, five clusters were identified: Uncontrolled Emotional Eaters; Overweight, Uncontrolled Eaters; Controlled, Conscious Eaters; the Uninterested; and the Rejecters; all of these could be addressed by public health policy with individually tailored messages. The empirical results led to rejection of the original Three-Factor Eating Questionnaire (TFEQ-R21), while the TFEQ-R16 model could be validated on a representative sample of adults, for the first time in Hungary.

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              Multivariate Data Analysis

              For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques. :Pearson New International Edition.
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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                15 November 2020
                November 2020
                : 12
                : 11
                : 3514
                Affiliations
                Institute of Marketing and Commerce, Faculty of Economics and Business, University of Debrecen, H-4032 Debrecen, Hajdú-Bihar County, Hungary; szakaly.zoltan@ 123456econ.unideb.hu (Z.S.); kovacs.bence@ 123456econ.unideb.hu (B.K.); szakaly.mark@ 123456econ.unideb.hu (M.S.); gal.timea@ 123456econ.unideb.hu (T.G.); soos.mihaly@ 123456econ.unideb.hu (M.S.)
                Author notes
                Author information
                https://orcid.org/0000-0001-6664-0308
                https://orcid.org/0000-0002-6493-8431
                https://orcid.org/0000-0002-9021-7363
                Article
                nutrients-12-03514
                10.3390/nu12113514
                7696223
                33203100
                1b2b102a-16ec-4165-8fdf-22e639c02214
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 September 2020
                : 13 November 2020
                Categories
                Article

                Nutrition & Dietetics
                eating attitudes,food consumption,behavior,food choice,tfeq-r21,questionnaire
                Nutrition & Dietetics
                eating attitudes, food consumption, behavior, food choice, tfeq-r21, questionnaire

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