Food-level predictors of self-reported liking and hedonic overeating: Putting ultra-processed foods in context

Finlayson, G. orcid.org/0000-0002-5620-2256, Allen, R., Baaij, A. et al. (10 more authors) (2025) Food-level predictors of self-reported liking and hedonic overeating: Putting ultra-processed foods in context. Appetite, 213. 108029. ISSN 0195-6663

Abstract

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Appetite is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Agricultural, Veterinary and Food Sciences; Biomedical and Clinical Sciences; Public Health; Health Sciences; Nutrition and Dietetics; Food Sciences; Nutrition; Behavioral and Social Science; Metabolic and endocrine; Cancer; Stroke
Dates:
  • Accepted: 25 April 2025
  • Published (online): 26 April 2025
  • Published: 1 September 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 03 Jun 2025 08:23
Last Modified: 03 Jun 2025 11:45
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: 10.1016/j.appet.2025.108029
Open Archives Initiative ID (OAI ID):

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