Evidence map›Paper›PMID 33430147›Full record

ArticleNutrients2021

Integration of an Image-Based Dietary Assessment Paradigm into Dietetic Training Improves Food Portion Estimates by Future Dietitians.

Dang Khanh Ngan Ho, Wan-Chun Chiu, Yu-Chieh Lee, Hsiu-Yueh Su, Chun-Chao Chang, Chih-Yuan Yao, Kai-Lung Hua, Hung-Kuo Chu, Chien-Yeh Hsu, Jung-Su Chang

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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
    Article
  2. Article
  3. Article
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

10 authors.

Dang Khanh Ngan HoSchool of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 110, Taiwan.
Wan-Chun ChiuSchool of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0003-4638-5412
Yu-Chieh LeeDepartment of Obstetrics and Gynecology, Taipei Medical University Hospital, Taipei 110, Taiwan.
Hsiu-Yueh SuSchool of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 110, Taiwan.
Chun-Chao ChangDepartment of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei 110, Taiwan.ORCID 0000-0002-3396-1559
Chih-Yuan YaoDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 110, Taiwan.
Kai-Lung HuaDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 110, Taiwan.ORCID 0000-0002-7735-243X
Hung-Kuo ChuDepartment of Computer Science, National Tsing Hua University, Hsinchu 300, Taiwan.
Chien-Yeh HsuDepartment of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 110, Taiwan.
Jung-Su ChangSchool of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei 110, Taiwan.ORCID 0000-0001-8608-9349

Funding

Ministry of Education, Taiwan PMN1080205Ministry of Science and Technology, Taiwan MOST 107-2320-B-038-010-MY3Taipei Medical University Hospital 108TMU-TMUH-14
6 · The paper itself

Abstract

The use of image-based dietary assessments (IBDAs) has rapidly increased; however, there is no formalized training program to enhance the digital viewing skills of dieticians. An IBDA was integrated into a nutritional practicum course in the School of Nutrition and Health Sciences, Taipei Medical University Taiwan. An online IBDA platform was created as an off-campus remedial teaching tool to reinforce the conceptualization of food portion sizes. Dietetic students' receptiveness and response to the IBDA, and their performance in food identification and quantification, were compared between the IBDA and real food visual estimations (RFVEs). No differences were found between the IBDA and RFVE in terms of food identification (67% vs. 71%) or quantification (±10% of estimated calories: 23% vs. 24%). A Spearman correlation analysis showed a moderate to high correlation for calorie estimates between the IBDA and RFVE (

Indexed as

Nutrition AssessmentPhotographyPortion SizeCurriculumDieteticsHumansInternetNutritionistsdietetic trainingimage-based dietary assessmentportion size estimation

Identifiers

PMID33430147
PMCPMC7827495

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Registered trials

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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.