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Response to Ahmed G et al. concerning ‘Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults’

Published online by Cambridge University Press:  17 February 2023

Nana Shinozaki Open the ORCID record for Nana Shinozaki [Opens in a new window]  and
Kentaro Murakami Open the ORCID record for Kentaro Murakami [Opens in a new window]
Nana Shinozaki
Affiliation:
Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Kentaro Murakami*
Affiliation:
Department of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
*
*Corresponding author: Kentaro Murakami, E-mail [email protected]

Abstract

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Type
Letter to the Editor
Information
Journal of Nutritional Science , Volume 12 , 2023 , e23
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

Dear Editor:

We appreciate the comments by Ahmed G et al. on our recently published study entitled ‘Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults’(Reference Shinozaki and Murakami1).

We agree with the comment on the importance of considering the amount of food consumed rather than served. As written in the Discussion section, we did not evaluate the validity of food photographs in estimating the amount of food consumed for hygienic reasons, which is a major limitation of this study. However, we are currently developing a web-based 24-h dietary recall system incorporating the food atlas. Using the 24-h meal recall system, we aim to further evaluate the validity of the food atlas in estimating actual food portions consumed.

We recognise that the accuracy of the estimates could be improved by providing several options for reporting portion sizes as employed in 24-h recall systems, such as Intake24(Reference Simpson, Bradley and Poliakov2). In the Conclusion section, we wrote that combining food photographs and other methods, such as line diagrams and textual descriptions, would be useful for estimating portion sizes(Reference Ovaskainen, Paturi and Reinivuo3–Reference Lucassen, Willemsen and Geelen5). In the developing 24-h recall system, we would like to provide appropriate options for response methods.

Although not mentioned in the study, each participant was provided a unique identifier during their application for study participation, which was used in the serving and estimation sessions. Thus, there is no concern about the possibility of behavioural change because of the use of participants’ names in answering the web-based questionnaire.

Including eating disorder-related questions would be useful. Nevertheless, we asked the hunger level of each participant using a 5-point Likert scale in the serving session (see the Methods section). Consequently, there were no relative differences between estimated and true serving sizes for any food items among the hunger level categories (‘Association between participant characteristics and estimation error’ in the Results section).

Again, we thank Ahmed G et al. for the interest and comments on our study.

Conflict of interest

Neither of the authors declared a conflict of interest.

References

Shinozaki, N & Murakami, K (2022) Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults. J Nutr Sci 11, e105.Google ScholarPubMed
Simpson, E, Bradley, J, Poliakov, I, et al. (2017) Iterative development of an online dietary recall tool: INTAKE24. Nutrients 9, 118.CrossRefGoogle ScholarPubMed
Ovaskainen, ML, Paturi, M, Reinivuo, H, et al. (2008) Accuracy in the estimation of food servings against the portions in food photographs. Eur J Clin Nutr 62, 674–681.Google ScholarPubMed
Thoradeniya, T, de Silva, A, Arambepola, C, et al. (2012) Portion size estimation aids for Asian foods. J Hum Nutr Diet 25, 497–504.Google ScholarPubMed
Lucassen, DA, Willemsen, RF, Geelen, A, et al. (2021) The accuracy of portion size estimation using food images and textual descriptions of portion sizes: an evaluation study. J Hum Nutr Diet 34, 945–952.CrossRefGoogle ScholarPubMed