Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

The Restrain Food Database: validation of an open-source database of foods that should be eaten more or less as part of a healthy diet

Randle, Mark, Duarte, Ines, Maizey, Leah, Tzavella, Loukia ORCID: https://orcid.org/0000-0002-1463-9396, Adams, Rachel C. ORCID: https://orcid.org/0000-0002-8053-0671 and Chambers, Christopher D. ORCID: https://orcid.org/0000-0001-6058-4114 2022. The Restrain Food Database: validation of an open-source database of foods that should be eaten more or less as part of a healthy diet. Royal Society Open Science 9 (11) , 220923. 10.1098/rsos.220923

[thumbnail of rsos.220923.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Studies of food-related behaviours often involve measuring responses to pictorial stimuli of foods. Creating these can be burdensome, requiring a significant commitment of time, and with sharing of images for future research constrained by legal copyright restrictions. The Restrain Food Database is an open-source database of 626 images of foods that are categorized as those people could eat more or less of as part of a healthy diet. This paper describes the database and details how to navigate it using our purpose-built R Shiny tool and a pre-registered online validation of a sample of images. A total of 2150 participants provided appetitive ratings, perceptions of nutritional content and ratings of image quality for images from the database. We found support for differences between Food Category on appetitive ratings which were also moderated by state hunger ratings. Findings relating to individual differences in appetite ratings as well as differences between BMI weight categories are also reported. Our findings validate the food categorization in the Restrain Food Database and provide descriptive information for individual images within this investigation. This database should ease the burden of selecting and creating appropriate images for future studies.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Psychology
Publisher: The Royal Society
ISSN: 2054-5703
Funders: European Research Council
Date of First Compliant Deposit: 23 November 2022
Date of Acceptance: 4 November 2022
Last Modified: 07 May 2023 13:10
URI: https://orca.cardiff.ac.uk/id/eprint/154425

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics