Literature DB >> 25174571

Social modeling of eating: a review of when and why social influence affects food intake and choice.

Tegan Cruwys1, Kirsten E Bevelander2, Roel C J Hermans3.   

Abstract

A major determinant of human eating behavior is social modeling, whereby people use others' eating as a guide for what and how much to eat. We review the experimental studies that have independently manipulated the eating behavior of a social referent (either through a live confederate or remotely) and measured either food choice or intake. Sixty-nine eligible experiments (with over 5800 participants) were identified that were published between 1974 and 2014. Speaking to the robustness of the modeling phenomenon, 64 of these studies have found a statistically significant modeling effect, despite substantial diversity in methodology, food type, social context and participant demographics. In reviewing the key findings from these studies, we conclude that there is limited evidence for a moderating effect of hunger, personality, age, weight or the presence of others (i.e., where the confederate is live vs. remote). There is inconclusive evidence for whether sex, attention, impulsivity and eating goals moderate modeling, and for whether modeling of food choice is as strong as modeling of food intake. Effects with substantial evidence were: modeling is increased when individuals desire to affiliate with the model, or perceive themselves to be similar to the model; modeling is attenuated (but still significant) for healthy-snack foods and meals such as breakfast and lunch, and modeling is at least partially mediated through behavioral mimicry, which occurs without conscious awareness. We discuss evidence suggesting that modeling is motivated by goals of both affiliation and uncertainty-reduction, and outline how these might be theoretically integrated. Finally, we argue for the importance of taking modeling beyond the laboratory and bringing it to bear on the important societal challenges of obesity and disordered eating.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Eating; Health behavior; Normative influence; Obesity; Social influence; Social norms

Mesh:

Year:  2014        PMID: 25174571     DOI: 10.1016/j.appet.2014.08.035

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


  100 in total

1.  Children judge others based on their food choices.

Authors:  Jasmine M DeJesus; Emily Gerdin; Kathleen R Sullivan; Katherine D Kinzler
Journal:  J Exp Child Psychol       Date:  2018-12-01

2.  Parents Report Competing Priorities Influence Snack Choice in Youth Sports.

Authors:  Aaron Rafferty; Virginia B Gray; Jennifer Nguyen; Selena Nguyen-Rodriguez; Michelle Barrack; Stephanie Lin
Journal:  J Nutr Educ Behav       Date:  2018-06-25       Impact factor: 3.045

3.  Emotional faces influence evaluation of natural and transformed food.

Authors:  Valerio Manippa; Caterina Padulo; Alfredo Brancucci
Journal:  Psychol Res       Date:  2017-03-15

4.  Associations between company at dinner and daily diet quality in Dutch men and women from the NQplus study.

Authors:  L van Lee; A Geelen; E J C Hooft van Huysduynen; J H M de Vries; P van 't Veer; E J M Feskens
Journal:  Eur J Clin Nutr       Date:  2016-07-13       Impact factor: 4.016

5.  Social influences on eating and physical activity behaviours of urban, minority youths.

Authors:  Elizabeth T Anderson Steeves; Katherine A Johnson; Suzanne L Pollard; Jessica Jones-Smith; Keshia Pollack; Sarah Lindstrom Johnson; Laura Hopkins; Joel Gittelsohn
Journal:  Public Health Nutr       Date:  2016-08-05       Impact factor: 4.022

Review 6.  What Is a Snack, Why Do We Snack, and How Can We Choose Better Snacks? A Review of the Definitions of Snacking, Motivations to Snack, Contributions to Dietary Intake, and Recommendations for Improvement.

Authors:  Julie M Hess; Satya S Jonnalagadda; Joanne L Slavin
Journal:  Adv Nutr       Date:  2016-05-16       Impact factor: 8.701

7.  Eating with others and meal location are differentially associated with nutrient intake by sex: The Diabetes Study of Northern California (DISTANCE).

Authors:  Mark C Pachucki; Andrew J Karter; Nancy E Adler; Howard H Moffet; E Margaret Warton; Dean Schillinger; Bethany Hendrickson O'Connell; Barbara Laraia
Journal:  Appetite       Date:  2018-03-27       Impact factor: 3.868

8.  Eating self-efficacy: validation of a new brief scale.

Authors:  Caterina Lombardo; Silvia Cerolini; Fabio Alivernini; Andrea Ballesio; Cristiano Violani; Mariana Fernandes; Fabio Lucidi
Journal:  Eat Weight Disord       Date:  2020-02-01       Impact factor: 4.652

9.  Social influence shifts valuation of appetitive cues in early adolescence and adulthood.

Authors:  Rebecca E Martin; Yvette Villanueva; Theodore Stephano; Peter J Franz; Kevin N Ochsner
Journal:  J Exp Psychol Gen       Date:  2018-10

Review 10.  The case for investigating social context in laboratory studies of smoking.

Authors:  John D Dimoff; Michael A Sayette
Journal:  Addiction       Date:  2016-08-08       Impact factor: 6.526

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