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      Segmenting Young Adult University Student’s Eating Behaviour: A Theory-Informed Approach

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          Abstract

          The purpose of this paper is to extend behavioural theory and segmentation application. Specifically, this paper draws on three segmentation bases and behavioural theory that extends focus beyond individual psychological predispositions to form segments within the healthy eating context for young adult university students (20–35 years) in Queensland, Australia. Participants were invited to take part in an online survey via email and through face to face intercept to ensure a diverse cross section was obtained. Structural equation modelling revealed that the Motivation, Opportunity, and Ability (MOA) framework can be utilised to explain healthful eating behaviour and two-step cluster analysis uncovered two distinct segments with education, motivation to eat healthily and Turconi’s eating behaviour scores being the most important variables within the wider multivariate segment formation. This paper contributes to literature in the following ways. First, it confirms the importance of behavioural bases in segment formation and supports inclusion of other bases, namely demographics and psychographics. Next, it provides evidence of the value of including behavioural theory, which extends focus beyond what individuals think to understand how the environment may support them. Finally, this paper demonstrates that the MOA framework together with eating behaviour and demographic factors (education) can produce theoretically informed segments.

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          Most cited references63

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          Self-Efficacy: An Essential Motive to Learn.

          During the past two decades, self-efficacy has emerged as a highly effective predictor of students' motivation and learning. As a performance-based measure of perceived capability, self-efficacy differs conceptually and psychometrically from related motivational constructs, such as outcome expectations, self-concept, or locus of control. Researchers have succeeded in verifying its discriminant validity as well as convergent validity in predicting common motivational outcomes, such as students' activity choices, effort, persistence, and emotional reactions. Self-efficacy beliefs have been found to be sensitive to subtle changes in students' performance context, to interact with self-regulated learning processes, and to mediate students' academic achievement. Copyright 2000 Academic Press.
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            Marketing Social Marketing in the Social Change Marketplace

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              Why we eat what we eat. The Eating Motivation Survey (TEMS).

              Understanding why people select certain food items in everyday life is crucial for the creation of interventions to promote normal eating and to prevent the development of obesity and eating disorders. The Eating Motivation Survey (TEMS) was developed within a frame of three different studies. In Study 1, a total of 331 motives for eating behavior were generated on the basis of different data sources (previous research, nutritionist interviews, and expert discussions). In Study 2, 1250 respondents were provided with a set of motives from Study 1 and the Eating Motivation Survey was finalized. In Study 3, a sample of 1040 participants filled in the Eating Motivation Survey. Confirmatory factor analysis with fifteen factors for food choice yielded a satisfactory model fit for a full (78 items) and brief survey version (45 items) with RMSEA .048 and .037, 90% CI .047-.049 and .035-.039, respectively. Factor structure was generally invariant across random selected groups, gender, and BMI, which indicates a high stability for the Eating Motivation Survey. On the mean level, however, significant differences in motivation for food choice associated with gender, age, and BMI emerged. Implications of the fifteen distinct motivations to choose foods in everyday life are discussed. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                15 November 2019
                November 2019
                : 11
                : 11
                : 2793
                Affiliations
                [1 ]Social Marketing @ Griffith, Griffith University, 170 Kessels Road, Nathan, QLD 4111, Australia; s.rundle-thiele@ 123456griffith.edu.au (S.R.-T.); j.carins@ 123456griffith.edu.au (J.C.)
                [2 ]Food and Nutrition, Land Division, Defence Science and Technology, Scottsdale, TAS 7260, Australia
                Author notes
                [* ]Correspondence: annakatariina.kitunen@ 123456griffithuni.edu.au ; Tel.: +61-737-357-673
                Author information
                https://orcid.org/0000-0002-9250-4219
                https://orcid.org/0000-0001-7181-5651
                Article
                nutrients-11-02793
                10.3390/nu11112793
                6893594
                31731796
                3f0f6c01-5f43-4e36-977b-d6db1282ae61
                © 2019 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
                : 31 August 2019
                : 14 November 2019
                Categories
                Article

                Nutrition & Dietetics
                social marketing,young adults,behaviour change,segmentation,eating behaviour
                Nutrition & Dietetics
                social marketing, young adults, behaviour change, segmentation, eating behaviour

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