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开发和评估成人膳食评估中份量估计的图像系列。

Development and evaluation of image-series for portion size estimation in dietary assessment among adults.

机构信息

Department of Nutrition and Public Health, Faculty of Health and Sport Sciences, University of Agder, PO Box 422, Kristiansand 4604, Norway.

出版信息

J Nutr Sci. 2021 Jan 13;10:e3. doi: 10.1017/jns.2020.58. eCollection 2021.

Abstract

Portion size images are advantageous in dietary assessment. The aim of the present study was to develop and validate new culturally specific image-series for portion size estimation to be used in a new Norwegian version of a British web-based dietary assessment tool (myfood24). Twenty-three image-series of different foods, each containing seven portion size images, were created and validated in a group of adults ( 41, 58 % female) aged 19-44 (median 23), out of which 63 % had higher (tertiary) education. The participants compared 46 portions of pre-weighed foods to the portion size images (1886 comparisons in total). Portion size estimations were either classified as correct, adjacent or misclassified. The weight discrepancy in percentage between the chosen and the correct portion size image was also calculated. Mann-Whitney tests were used to explore if portion size estimation accuracy differed across sample characteristics, or if it depended on how the foods were presented. For thirty-eight of the forty-six presented food items, the participants selected the correct or adjacent portion size image 98 % on average. The remaining eight food items were on average misclassified by 27 % of the participants. Overall, a mean weight discrepancy of 2⋅5 % was observed between the chosen and the correct portion size images. Females estimated portion size more accurately than males ( = 0⋅019). No other significant differences in estimation accuracy were observed. In conclusion, the new image-series performed satisfactorily, except for the image-series depicting bread, caviar spread and marzipan cake, which will be altered. The present study demonstrates the importance of validating portion size estimation tools.

摘要

份量大小图像在饮食评估中具有优势。本研究的目的是开发和验证新的、具有特定文化的份量大小图像系列,用于评估一种新的挪威版英国基于网络的饮食评估工具(myfood24)。在一个由 19-44 岁(中位数 23 岁)成年人组成的小组中,创建并验证了 23 种不同食物的图像系列,每个系列包含七个份量大小的图像,其中 63%的人受过高等(第三级)教育。参与者将 46 份预先称重的食物与份量大小图像进行比较(总共 1886 次比较)。份量大小估计要么被归类为正确、相邻或错误。还计算了所选部分与正确部分大小图像之间的重量差异百分比。曼-惠特尼检验用于探索份量大小估计准确性是否因样本特征而异,或者是否取决于食物的呈现方式。对于所呈现的 46 种食物中的 38 种,参与者平均选择正确或相邻的份量大小图像的比例为 98%。其余 8 种食物的平均错误分类率为 27%。总体而言,所选部分和正确部分大小图像之间的平均重量差异为 2.5%。女性的份量大小估计准确性高于男性( = 0.019)。未观察到估计准确性的其他显著差异。综上所述,新的图像系列表现良好,但面包、鱼子酱酱和杏仁蛋糕的图像系列除外,这些将进行修改。本研究表明了验证份量大小估计工具的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39af/8057404/08a0f46fb6a0/S2048679020000580_fig1.jpg

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