Evidence map›Paper›PMID 33406287›Full record

Observational studyJournal of human nutrition and dietetics : the official journal of the British Dietetic Association2021

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

Ye Ding, Yue Yang, Fang Li, Yingying Shao, Zhongqing Sun, Chunmei Zhong, Ping Fan, Zuwen Li, Man Zhang, Xiaocheng Li and 7 more

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Journal of human nutrition and dietetics : the official journal of the British Dietetic Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

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0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Trial
  2. Development and Validation of a Photographic Food Atlas for Portion Size Estimation and Educational Use in Türkiye.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ye DingDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yue YangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Fang LiDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yingying ShaoSir Run Run Hospital, Nanjing, China.
Zhongqing SunQingdao Municipal Center for Disease Control & Prevention, Qingdao, China.
Chunmei ZhongDepartment of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China.
Ping FanChangzhou Center for Disease Control and Prevention, Changzhou, China.
Zuwen LiKun Shan Market Regulatory Administration, Suzhou, China.
Man ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Xiaocheng LiNanjing Municipal Center for Disease Control and Prevention, Nanjing, China.
Tingting JiangNanjing Brain Hospital, Nanjing, China.
Chenglin SongThe Second People's Hospital of Lianyungang, Lianyungang, China.
Dandan ChenHuai'an Maternal and Child Health Center, Huai'an, China.
Xiaoju PengSuzhou Maternal and Child Health Care & Family Planning Service Center, Suzhou, China.
Lu YinNanjing Brain Hospital, Nanjing, China.
Yuanhong SheDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhixu WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-1633-6313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate 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.

methodsA 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.

resultsAfter 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.

conclusionsA 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.

Indexed as

Atlases as TopicPhotographyAsian PeopleChinaData CollectionDiet RecordsDiet SurveysFoodHumansPortion SizeReference StandardsReproducibility of Resultsfood atlasfood estimationretrospective dietary surveyvisual reference systems

Identifiers

PMID33406287
PMCPMC8246756

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.