Food Science and Technology

Development and validation of an online tool to assess perceived portion size norms of discretionary foods

Q. Liu, L. Wang, et al.

Discover an innovative online tool that accurately assesses portion size norms for discretionary foods, developed and validated through a comprehensive study by Qingzhou Liu, Leanne Wang, Siyi Guo, Margaret Allman-Farinelli, and Anna Rangan. This tool shows remarkable agreement with actual food portions, transforming research in nutrition assessment!

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Abstract

This study aimed to develop and validate an online tool to assess perceived portion size norms of discretionary foods. An online image-series tool of 15 common discretionary foods was developed, with eight portion size options. A randomized-crossover design was used with adult consumers (18–65 years) reporting perceived portion size norms twice: once using food images and again using real food portions. Cross-classification showed >90% of selections matched in the same or adjacent portion size. The intra-class correlation (ICC) was 0.85, demonstrating good agreement. The online tool shows good agreement with real food portions and is valuable for future studies.

Publisher

European Journal of Clinical Nutrition

Published On

May 22, 2023

Authors

Qingzhou Liu, Leanne Wang, Siyi Guo, Margaret Allman-Farinelli, Anna Rangan

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