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Development and validation of a photographic atlas of food portions for accurate quantification of dietary intakes in China.
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.
Affiliation
  • Ding Y; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Yang Y; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Li F; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Shao Y; Sir Run Run Hospital, Nanjing, China.
  • Sun Z; Qingdao Municipal Center for Disease Control & Prevention, Qingdao, China.
  • Zhong C; Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Fan P; Changzhou Center for Disease Control and Prevention, Changzhou, China.
  • Li Z; Kun Shan Market Regulatory Administration, Suzhou, China.
  • Zhang M; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
  • Li X; Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
  • Jiang T; Nanjing Brain Hospital, Nanjing, China.
  • Song C; The Second People's Hospital of Lianyungang, Lianyungang, China.
  • Chen D; Huai'an Maternal and Child Health Center, Huai'an, China.
  • Peng X; Suzhou Maternal and Child Health Care & Family Planning Service Center, Suzhou, China.
  • Yin L; Nanjing Brain Hospital, Nanjing, China.
  • She Y; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Wang Z; Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
J Hum Nutr Diet ; 34(3): 604-615, 2021 06.
Article in En | MEDLINE | ID: mdl-33406287
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atlases as Topic / Photography / Data Collection / Portion Size / Food Type of study: Observational_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: J Hum Nutr Diet Journal subject: CIENCIAS DA NUTRICAO Year: 2021 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atlases as Topic / Photography / Data Collection / Portion Size / Food Type of study: Observational_studies Limits: Humans Country/Region as subject: Asia Language: En Journal: J Hum Nutr Diet Journal subject: CIENCIAS DA NUTRICAO Year: 2021 Document type: Article Affiliation country: China Country of publication: United kingdom