Literature DB >> 28826746

The prevalence of food addiction in a large sample of adolescents and its association with addictive substances.

Gabry W Mies1, Jorien L Treur1, Junilla K Larsen1, Jutka Halberstadt2, Joëlle A Pasman1, Jacqueline M Vink3.   

Abstract

The prevalence of overweight and obesity is increasing, due to, among other factors, increased availability of highly palatable food (food high in fat, salt and/or sugar). It has been proposed that certain foods and/or eating behaviours may be addictive, to a degree comparable to substances of abuse. The Yale Food Addiction Scale (YFAS) measures 'food addiction' by translating the diagnostic criteria for substance use disorder to eating behaviour. So far, only a few studies have examined the prevalence of food addiction in children with the YFAS for children (YFAS-C). Large-scale studies, especially among adolescents, are lacking. Adolescence is of particular interest because it is a period wherein unhealthy eating behaviours or addictive tendencies are likely to develop. The current study examines the prevalence of food addiction using the YFAS-C in a large group of Dutch adolescents (N = 2653) aged 14-21 years. With Generalized Estimation Equation (GEE) analysis we tested the relationship between food addiction symptoms and smoking, cannabis use, alcohol use, and sugar intake through drinks, while controlling for gender, age, educational level and weight class. In the total sample 2.6% met the criteria for a food addiction 'diagnosis', and the average symptom count was 1.0 (SD = 1.3, range 0-7). Symptoms of food addiction were positively associated with smoking, alcohol use, cannabis use and sugar intake. We propose that future studies focus on possible genetic/(neuro)biological mechanisms involved in both food addiction and substance use and that longitudinal designs are needed to examine possible causal pathways.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescents; Food addiction; Substance use; Sugar; YFAS-C; Yale Food Addiction Scale

Mesh:

Substances:

Year:  2017        PMID: 28826746     DOI: 10.1016/j.appet.2017.08.002

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


  31 in total

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2.  Food addiction, executive function and mood in adolescents with obesity seeking treatment.

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Review 4.  Weighing the Risk: Developmental Pathways and Processes Underlying Obesity to Substance Use in Adolescence.

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Review 5.  Limitations of the protective measure theory in explaining the role of childhood sexual abuse in eating disorders, addictions, and obesity: an updated model with emphasis on biological embedding.

Authors:  David A Wiss; Timothy D Brewerton; A Janet Tomiyama
Journal:  Eat Weight Disord       Date:  2021-09-02       Impact factor: 4.652

6.  Food addiction comorbid to mental disorders in adolescents: a nationwide survey and register-based study.

Authors:  Christina Horsager; Emil Færk; Ashley N Gearhardt; Marlene Briciet Lauritsen; Søren Dinesen Østergaard
Journal:  Eat Weight Disord       Date:  2021-06-05       Impact factor: 4.652

7.  A narrative review of highly processed food addiction across the lifespan.

Authors:  Emma T Schiestl; Julia M Rios; Lindsey Parnarouskis; Jenna R Cummings; Ashley N Gearhardt
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2020-10-28       Impact factor: 5.067

8.  Symptoms of Addictive Eating: What Do Different Health Professions Think?

Authors:  Megan Whatnall; Janelle Skinner; Antonio Verdejo-Garcia; Adrian Carter; Robyn M Brown; Zane B Andrews; Chris V Dayas; Charlotte A Hardman; Natalie Loxton; Priya Sumithran; Tracy Burrows
Journal:  Behav Sci (Basel)       Date:  2021-04-26

Review 9.  Converging vulnerability factors for compulsive food and drug use.

Authors:  Katherine M Serafine; Laura E O'Dell; Eric P Zorrilla
Journal:  Neuropharmacology       Date:  2021-04-20       Impact factor: 5.273

10.  E-cigarette and waterpipe use in two adolescent cohorts: cross-sectional and longitudinal associations with conventional cigarette smoking.

Authors:  Jorien L Treur; Andrea D Rozema; Jolanda J P Mathijssen; Hans van Oers; Jacqueline M Vink
Journal:  Eur J Epidemiol       Date:  2017-12-19       Impact factor: 8.082

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