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Development and validation of a photographic atlas of food portions for accurate quantification of dietary intakes in China.

Authors :
Ding, Ye
Yang, Yue
Li, Fang
Shao, Yingying
Sun, Zhongqing
Zhong, Chunmei
Fan, Ping
Li, Zuwen
Zhang, Man
Li, Xiaocheng
Jiang, Tingting
Song, Chenglin
Chen, Dandan
Peng, Xiaoju
Yin, Lu
She, Yuanhong
Wang, Zhixu
Source :
Journal of Human Nutrition & Dietetics; Jun2021, Vol. 34 Issue 3, p604-615, 12p
Publication Year :
2021

Abstract

Background: Accurate estimation of food portion sizes remains an important challenge in dietary data collection. The present study aimed to develop a food atlas with adequate visual reference to improve the accuracy of dietary surveys in China. Methods: A food atlas for dietary surveys in China was developed using three visual reference systems, namely, regularly placed food portions, the two‐dimensional background coordinates and common objects known in daily life. The atlas was validated by estimating a meal before and after using the food atlas, and differences in weight estimation were compared using a paired t‐test. In total, 50 college students participated in the study. Results: After determination of food varieties; design of the food display; purchase, processing, cooking and weighing of food; photographing food; post‐image processing and data processing, a total of 799 pictures of 303 types of food and two types of tableware were produced. The mean value of food weight estimated with the atlas was closer to the actual weight, and the variation range of these values was smaller and more stable than that estimated without the atlas. The differences estimated before and after using the atlas for all foods were significant (P < 0.05). Comparing the differences in weight before using the atlas, the error ranges of food samples were reduced. Conclusions: A food atlas has been developed for a retrospective dietary survey in China, which can be used to enable a better understanding of nutritional adequacy in the Chinese population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09523871
Volume :
34
Issue :
3
Database :
Complementary Index
Journal :
Journal of Human Nutrition & Dietetics
Publication Type :
Academic Journal
Accession number :
150672340
Full Text :
https://doi.org/10.1111/jhn.12844