The relationships between social media exposure, food craving, cognitive impulsivity and cognitive restraint

Springer Science and Business Media LLC - Tập 10 - Trang 1-12 - 2022
Lisa Filippone1, Rebecca Shankland1,2, Quentin Hallez1
1Laboratoire Développement, Individu, Processus, Handicap, Éducation (DIPHE), Institut de Psychologie, Université Lumière Lyon 2, Bron, France
2Institut Universitaire de France, Paris, France

Tóm tắt

Young adults are increasingly exposed to social media and their image/video-based activities. They use these platforms to share images, videos and advice in different fields like food and nutrition with: recipe ideas, nutritional opinions or specific diets. Along with the rise of digital technologies, the prevalence of eating disorders in young adults continues to grow. The present study analyzes the psychological and eating processes through which exposure to social media may lead to the development of food craving and problematic eating behaviors. A total of 103 young adult men (n = 15) and women (n = 88) answered questionnaires measuring their impulsivity (Barratt Impulsiveness Scale), eating habits (Three-Factor Eating Questionnaire), food craving (Food Cravings Questionnaire-Trait-reduced), and time exposure to social media. The results showed two significant serial mediations. We found a correlational link between time exposure to social media and food craving scores. This positive relation is indirectly mediated by cognitive impulsivity. We also found a positive correlation between cognitive impulsivity and food craving scores that was mediated by cognitive restraint. A better understanding of the existing links between social media, food craving and eating behaviors such as cognitive restraint could help researchers and clinicians to better guide young adults in their use and appropriation of social media food contents. Young adults are increasingly using social media to share images, videos and opinions on a wide range of areas including food. Young people discuss recipes tips, nutritional opinions or specific diet advice. Online platforms expose young people to a set of contradictory data, often generalist, and non-individualized advice that can create the feeling of being overwhelmed by information. This study aimed to understand the potential impact of this increasingly frequent exposure to social media on eating behaviors of young adults. The results showed that longer exposure times to social media were indirectly linked to an irrepressible urge to eat via increased impulsivity. High impulsivity scores were also indirectly related to food craving via food restriction. A better understanding of the links between social media, food craving and eating behaviors could help researchers and clinicians to better guide young adults in their use and appropriation of social media food contents. By knowing more precisely the processes at work behind exposure to social media, it can become possible to undertake awareness actions in order to prevent the development of subsequent eating issues.

Tài liệu tham khảo

Broadband Search (s.d.). Average time spent daily on social media. Broadband Search. 2020. https://www.broadbandsearch.net/blog/average-daily-time-on-social-media.

Coyne SM, Padilla-Walker LM, Howard E. Emerging in a digital world a decade review of media use, effects, and gratifications in emerging adulthood. Emerg Adulthood. 2013;1(2):125–37.

Dennett C. A no-nonsense guide to clean eating. Chicago health. 2016. https://chicagohealthonline.com/a-no-nonsense-guide-to-clean-eating/.

Eurostat. Statistics Explained. Being young in Europe today-digital world. Eurostat. Statistics Explained (2020). https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Being_young_in_Europe_today_-_digital_world#Youth_online:_a_way_of_life.

He Q, Turel O, Bechara A. Brain anatomy alterations associated with Social Networking Site (SNS) addiction. Sci Rep. 2017;23(7):450–64.

Meule A, Hermann T, Kübler A. A short version of the Food Cravings Questionnaire Trait: the FCQ-T-reduced. Front Psychol. 2014;5:190.

Organization for Economic co-operation and development. Gender equality: balancing paid work, unpaid work and leisure (OECD, 2018). https://stats.oecd.org/Index.aspx?datasetcode=TIME_USE.

Social Networking Fact Sheets. Pew Research Center (2015). http://www.pewinternet.org/fact-sheets/social-networking-fact-sheet/.

Spinella M. Normative data and short form of the Barratt Impulsiveness Scale. Int J Neurosci. 2007;117:359–68.

Van Deursen AJAM, Bolle CL, Hegner SM, Kommers PAM. Modeling habitual and addictive smartphone behavior: the role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Comput Hum Behav. 2015;45:411–20.

van Zyl LE. Research methodology for economic and management sciences. Pearson Education International; London - England. 2013.

World Health Organisation. (s.d.) Global health estimates: life expectancy and leading causes of death and disability (2019). https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates.