Literature DB >> 34038746

Does exposure to socially endorsed food images on social media influence food intake?

Lily Hawkins1, Claire Farrow2, Jason M Thomas3.   

Abstract

Social norms can influence the consumption of high and low energy-dense (HED/LED) snack foods. Such norms could be communicated via social media, however, there is little experimental research investigating this possibility. This laboratory study aimed to investigate the acute effect of socially endorsed social media posts on participants' eating behaviour. Healthy women students (n = 169; mean age = 20.9; mean BMI = 23.3) were assigned to either a HED, LED or control condition, where they viewed three types of images (HED foods, LED foods and interior design as control), but only one type was socially endorsed (e.g. in the control condition, only interior design images were socially endorsed). Participants completed questionnaires and were also provided a snack buffet of grapes and cookies. One-way ANOVA revealed a significant main effect of condition on participants' relative consumption of grapes (percentage of grapes consumed out of total food intake), for both grams and calories consumed (both ps < .05). Follow-up t-tests revealed that participants consumed a larger proportion of grapes (grams and calories) in the LED condition vs HED condition (all ps < .05), and a larger proportion of calories from grapes in the LED compared to control condition (p < .05). These findings suggest that exposure to socially endorsed images of LED food on social media could nudge people to consume more of, and derive more calories from these foods in place of HED foods. Further research is required to examine the potential application of these findings. Crown
Copyright © 2021. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Food consumption; Healthy eating; Social media; Social norms

Year:  2021        PMID: 34038746     DOI: 10.1016/j.appet.2021.105424

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


  1 in total

1.  Healthy vs. Unhealthy Food Images: Image Classification of Twitter Images.

Authors:  Tejaswini Oduru; Alexis Jordan; Albert Park
Journal:  Int J Environ Res Public Health       Date:  2022-01-14       Impact factor: 3.390

  1 in total

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