Portion size affects food selection in an immersive virtual reality buffet and is related to measured intake in laboratory meals varying in portion size.

Food buffet Food intake Food selection Immersive technology Portion size Virtual reality

Journal

Appetite
ISSN: 1095-8304
Titre abrégé: Appetite
Pays: England
ID NLM: 8006808

Informations de publication

Date de publication:
12 Oct 2023
Historique:
received: 27 07 2023
revised: 07 09 2023
accepted: 21 09 2023
pubmed: 12 10 2023
medline: 12 10 2023
entrez: 11 10 2023
Statut: aheadofprint

Résumé

A crucial step for validating the utility of an immersive virtual reality (iVR) buffet to study eating behavior is to determine whether variations in food characteristics such as portion size (PS) are relevant predictors of food selection in an iVR buffet. We tested whether manipulating PS in an iVR buffet affects the weight of food selected, and whether this response to PS is similar to participants' measured intake when PS varies at laboratory meals. In a randomized crossover design, 91 adults (18-71 y; 64 females; BMI = 25.3 ± 5.7) used their iVR remote to select lunch and dinner portions from an iVR buffet before consuming a standardized lab meal at two visits separated by one week. The PS in the iVR buffet and lab meals varied between a standard PS and a large PS. This design enabled comparisons of PS effects between iVR and lab settings, despite the scale difference in food weight between the environments. Portion size significantly affected food selection and food intake (p < 0.001). Subjects selected an additional 350 g in iVR and consumed an additional 154 g of food in the lab meals when offered the large portion compared to the small portion. The effect of PS showed a similar percentage increase in iVR (36.5%) and lab meals (39.2%). There was no significant difference in the effect of PS between iVR and lab meals after accounting for scale differences in food weight between the environments. The response to PS was not influenced by subject characteristics such as body mass index, sex, or age. These results demonstrate the utility of iVR for replicating real-world eating behaviors and enhancing our understanding of the intricate dynamics of food-related behaviors in a variety of contexts.

Identifiants

pubmed: 37820822
pii: S0195-6663(23)02514-X
doi: 10.1016/j.appet.2023.107052
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107052

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None

Auteurs

John W Long (JW)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.

Sara J Pritschet (SJ)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.

Kathleen L Keller (KL)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, 16802, USA; Department of Food Science, The Pennsylvania State University, University Park, PA, 16802, USA.

Charissa S L Cheah (CSL)

Department of Psychology, University of Maryland Baltimore County, Baltimore, MD, 21250, USA.

Lee Boot (L)

Imaging Research Center, University of Maryland Baltimore County, Baltimore, MD, 21250, USA.

Alexander Klippel (A)

Laboratory of Geo-information Science and Remote Sensing, Wageningen University & Research, Wageningen, 6708 PB, Netherlands.

Timothy R Brick (TR)

Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, 16802, USA.

Caitlyn G Edwards (CG)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.

Barbara J Rolls (BJ)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, 16802, USA.

Travis D Masterson (TD)

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, 16802, USA. Electronic address: tpm5262@psu.edu.

Classifications MeSH