Literature DB >> 27818301

A stage model as an analysis framework for studying voluntary change in food choices - The case of beef consumption reduction in Norway.

Christian A Klöckner1.   

Abstract

This paper studies the application of a stage-based model of consumer behavior change on describing the processes behind the reduction of beef consumption in two Norwegian samples (N = 746, N = 2967). The way to reduce beef consumption is modeled through a progression through four stages (predecision, decision, action, and postaction) with a chain of first forming goal intentions, then more concrete behavioral intentions and finally implementation intentions. The analyzes show that general goal intentions to reduce beef consumption are determined by perceived social norms and awareness of a behaviors negative consequences through the activation of personal norms. Attitudes are the main determinant of choosing the alternative behavior (reduction of portion size, substitution of beef with other meats or seafood, or vegetarian meals), but perceived difficulty of behavior also has an impact for some alternatives. Not all alternative behaviors correspond to reduced beef consumption. The pattern of means in beef consumption and intentions for consumers in different stages of change mostly matched predictions by the model, most importantly, showing beef consumption reduction only for consumers in the last stage of change. Implications for interventions are discussed. Copyright Â
© 2016 Elsevier Ltd. All rights reserved.

Keywords:  Beef consumption; Consumption behavior change; Stage modeling; Structural equation modeling; Sustainability

Mesh:

Year:  2016        PMID: 27818301     DOI: 10.1016/j.appet.2016.11.002

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  2 in total

1.  Testing a novel multicomponent intervention to reduce meat consumption in young men.

Authors:  Catherine E Amiot; Guy El Hajj Boutros; Ksenia Sukhanova; Antony D Karelis
Journal:  PLoS One       Date:  2018-10-11       Impact factor: 3.240

2.  An improved gray prediction model for China's beef consumption forecasting.

Authors:  Bo Zeng; Shuliang Li; Wei Meng; Dehai Zhang
Journal:  PLoS One       Date:  2019-09-06       Impact factor: 3.240

  2 in total

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