Literature DB >> 33607213

Social modeling of food choices in real life conditions concerns specific food categories.

Armelle Garcia1, Alya Hammami2, Lucie Mazellier3, Julien Lagneau3, Nicolas Darcel3, Suzanne Higgs4, Olga Davidenko3.   

Abstract

The social context of eating has a profound effect on consumption choices. Social modeling, that involves using others' behavior as a guide for appropriate consumption, has been well documented for food intake, but less is known about social modeling of food choices. Moreover, social modeling has mainly been studied in laboratory settings. We conducted an observational study in a self-service canteen to examine whether the food choices of an individual were influenced by the choice of the person ahead in the queue. We recorded food choices of 546 individuals (333 men and 211 women) and those of the person in front of them in the queue along a linear buffet. Starters were sub-categorized into salads, mixed starters (e.g. avocado shrimp mayonnaise), and cold meat starters, and desserts were sub-categorized into fruits, dairy products and pastries. There was a significantly higher probability of taking a starter in general (OR = 1.65, IC = 1.06-2.57, p = 0.03), a salad (OR = 1.78, CI = 1.08-2.93, p = 0.02), a mixed starter (OR = 2.98, CI = 1.42-6.05, p < 0.01), but not a cold meat, if the person ahead in the queue also took one compared to when the person ahead did not take one. No significant modelling was found for desserts which may be because almost all participants took a dessert. These results highlight that social modeling influences food choices, and that this phenomenon can be observed in a real life setting. These data also suggest that some food categories, such as starters, could be more susceptible to social modeling than are others. Finally, we observed modeling both between familiar and unfamiliar participants, which suggests that social norms could be used to promote healthier eating in a range of settings including friendship groups.
Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Food choice; Social modeling

Mesh:

Year:  2021        PMID: 33607213     DOI: 10.1016/j.appet.2021.105162

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


  1 in total

1.  A dynamic social norm messaging intervention to reduce meat consumption: A randomized cross-over trial in retail store restaurants.

Authors:  Elif Naz Çoker; Rachel Pechey; Kerstin Frie; Susan A Jebb; Cristina Stewart; Suzanne Higgs; Brian Cook
Journal:  Appetite       Date:  2021-11-23       Impact factor: 3.868

  1 in total

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