Literature DB >> 28366101

Validation of a food quantification picture book and portion sizes estimation applying perception and memory methods.

J Szenczi-Cseh1, Zs Horváth1, Á Ambrus1.   

Abstract

We tested the applicability of EPIC-SOFT food picture series used in the context of a Hungarian food consumption survey gathering data for exposure assessment, and investigated errors in food portion estimation resulted from the visual perception and conceptualisation-memory. Sixty-two participants in three age groups (10 to <74 years) were presented with three different portion sizes of five foods. The results were considered acceptable if the relative difference between average estimated and actual weight obtained through the perception method was ≤25%, and the relative standard deviation of the individual weight estimates was <30% after compensating the effect of potential outliers with winsorisation. Picture series for all five food items were rated acceptable. Small portion sizes were tended to be overestimated, large ones were tended to be underestimated. Portions of boiled potato and creamed spinach were all over- and underestimated, respectively. Recalling the portion sizes resulted in overestimation with larger differences (up to 60.7%).

Entities:  

Keywords:  Portion size estimation; conceptualisation-memory; food photographs; perception; validation

Mesh:

Year:  2017        PMID: 28366101     DOI: 10.1080/09637486.2017.1309521

Source DB:  PubMed          Journal:  Int J Food Sci Nutr        ISSN: 0963-7486            Impact factor:   3.833


  5 in total

1.  Development of a Digital Photographic Food Atlas as a Portion Size Estimation Aid in Japan.

Authors:  Nana Shinozaki; Kentaro Murakami; Keiko Asakura; Shizuko Masayasu; Satoshi Sasaki
Journal:  Nutrients       Date:  2022-05-26       Impact factor: 6.706

2.  The accuracy of portion size estimation using food images and textual descriptions of portion sizes: an evaluation study.

Authors:  Desiree A Lucassen; Romy F Willemsen; Anouk Geelen; Elske M Brouwer-Brolsma; Edith J M Feskens
Journal:  J Hum Nutr Diet       Date:  2021-03-24       Impact factor: 2.995

3.  Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study.

Authors:  Clare Whitton; Janelle D Healy; Clare E Collins; Barbara Mullan; Megan E Rollo; Satvinder S Dhaliwal; Richard Norman; Carol J Boushey; Edward J Delp; Fengqing Zhu; Tracy A McCaffrey; Sharon I Kirkpatrick; Paul Atyeo; Syed Aqif Mukhtar; Janine L Wright; César Ramos-García; Christina M Pollard; Deborah A Kerr
Journal:  JMIR Res Protoc       Date:  2021-12-16

4.  COVID-19 and Virtual Nutrition: A Pilot Study of Integrating Digital Food Models for Interactive Portion Size Education.

Authors:  Dang Khanh Ngan Ho; Yu-Chieh Lee; Wan-Chun Chiu; Yi-Ta Shen; Chih-Yuan Yao; Hung-Kuo Chu; Wei-Ta Chu; Nguyen Quoc Khanh Le; Hung Trong Nguyen; Hsiu-Yueh Su; Jung-Su Chang
Journal:  Nutrients       Date:  2022-08-12       Impact factor: 6.706

5.  Perspectives from individuals with low education and interviewers using the GloboDiet 24 h recall: a qualitative study.

Authors:  Nathalie A S Koubik; Caroline O Medeiros; Glenda V da Silva; Juliana B Gonçalves; Sandra P Crispim
Journal:  J Nutr Sci       Date:  2020-04-01
  5 in total

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