Hostname: page-component-cc8bf7c57-5wl6q Total loading time: 0 Render date: 2024-12-12T03:41:19.513Z Has data issue: false hasContentIssue false

Development and validation of an online portion size norm assessment tool

Published online by Cambridge University Press:  22 March 2023

Q. Liu
Affiliation:
School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia
L. Wang
Affiliation:
Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
S. Guo
Affiliation:
Independent researcher, Sydney, NSW 2000, Australia
M. Allman-Farinelli
Affiliation:
Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
A. Rangan
Affiliation:
Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
Rights & Permissions [Opens in a new window]

Abstract

Type
Abstract
Copyright
Copyright © The Authors 2023

Portion size norms, described as a typical perception of how much of a given food individuals choose to eat in one eating occasion, play a key role in portion control behaviours.(Reference Haynes, Hardman and Halford1) The portion size norm of energy-dense nutrient-poor (EDNP) foods may have shifted towards larger sizes in part due to these foods being presented in larger servings and packages.(Reference Mattes2,Reference Steenhuis, Leeuwis and Vermeer3) Portion size norms for common EDNP foods have yet to be established, and there is currently a lack of validated tools to assess the norm.(Reference Liu, Wang and Allman-Farinelli4) Therefore, the aim of this study was to develop and validate an online image-based tool to investigate the portion size norm of commonly consumed EDNP foods among Australian consumers. An image series survey including 15 EDNP foods and drinks such as sweet and savoury snacks, cakes, fast foods, and sugar-sweetened carbonated drinks was developed using Qualtrics. Using a within-person crossover design, the validity of the survey was examined by comparing a series of eight successive portion sizes using online food images with corresponding real foods in a laboratory setting. Participants were asked to select their normal portion size using both methods and could choose from a minimum value of 0 (do not eat this food) to a maximum value of 9 (greater than the largest option displayed). Australian consumers aged between 18–65 years, with no current or previous diagnosis of an eating disorder, and who were able to attend an in-person session were considered eligible. A total of 1442 comparisons on normal portion sizes between food images and real foods from 114 participants (83% females, mean age 24.8 years) were made. Across all foods, 91% (range 86%–97%) of comparisons were classified as a correct or adjacent match (that is, participants selected the same or the adjacent portion size option for images and real foods). The overall intraclass correlation coefficient (ICC) between images and corresponding real foods was 0.85, which is considered good.(Reference Koo and Li5) Twelve out of 15 foods had good to excellent levels of agreement (ICC 0.76–0.93), whereas three foods (chocolate bar, banana bread, and muffin) showed moderate agreement (ICC 0.69–0.72). In conclusion, this novel image-based portion size norm assessment tool showed good agreement when compared with real foods. This survey may be a valuable tool to examine portion size norms of common EDNP foods.

References

Haynes, A, Hardman, CA, Halford, JCG, et al. . (2019) Br J Nutr 123, 462471.CrossRefGoogle Scholar
Mattes, RD (2018) Am J Clin Nutr 107, 501503.CrossRefGoogle Scholar
Steenhuis, IH, Leeuwis, FH & Vermeer, WM (2010) Public Health Nutr 13, 852857.CrossRefGoogle Scholar
Liu, Q, Wang, L, Allman-Farinelli, M, et al. . (2022) Nutr Rev (in press).Google Scholar
Koo, TK & Li, MY (2016) J Chiropr Med 15, 155163.CrossRefGoogle Scholar