Literature DB >> 31751634

A systematic review of recall errors associated with portion size estimation aids in children.

N M de Vlieger1, M Weltert2, A Molenaar3, T A McCaffrey3, M E Rollo1, H Truby3, B Livingstone4, S I Kirkpatrick5, C J Boushey6, D A Kerr7, C E Collins1, T Bucher8.   

Abstract

To reduce errors in portion size estimation, a number of aids have been developed and tested. This systematic review synthesizes what is known about error associated with use of different portion size estimation aids (PSEAs) within self-reported dietary recall studies in children (aged ≤18 years). Eight electronic databases were searched using relevant keywords. From 8184 records identified and screened, 327 full texts were retrieved, with 10 records representing 9 studies meeting inclusion criteria. Studies using proxy reporting were excluded. Thirteen PSEAs were identified. To facilitate comparisons between different types of aids they were categorized into 'physical 2-dimensional (2D)', 'digital 2D' and '3-dimensional' PSEAs. Seven were physical 2D (e.g. food atlas), two were digital 2D (i.e. computer-based), and four were 3D (e.g. modelling clay, household items). Comparisons of PSEAs within studies found the smallest estimation errors for digital 2D and largest for 3D aids. Errors in relation to food type were varied, with portions of amorphous foods overestimated in multiple studies. No effects for recall interval time or sex were identified. One study reported a significant improvement in estimation error with increasing age. Across studies, large variations in study design and reporting of estimation error hindered the synthesis of evidence regarding the influence of different types of PSEAs on accuracy. While a definitive conclusion about the most accurate PSEA could not be drawn, a check-list to guide future PSEA development and testing has been proposed in the current review. This will assist comparability with future studies of PSEAs for children facilitate development of more accurate PSEAs in the future.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aid; Children; Dietary assessment; Estimation; Portion; Tool

Mesh:

Year:  2019        PMID: 31751634     DOI: 10.1016/j.appet.2019.104522

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  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.  Evaluation of portion size estimation aids for the Korea National Health and Nutrition Examination Survey.

Authors:  Youngmi Lee; Mi-Hyun Kim; Jae Eun Shim; Haeryun Park
Journal:  Nutr Res Pract       Date:  2020-10-23       Impact factor: 1.926

3.  Validation of a Web-Based, Time-Use Application to Assess Children's School Meal Intakes: My E-Diary for Activities and Lifestyle (MEDAL).

Authors:  Sarah Yi Xuan Tan; Airu Chia; Ray Sugianto; Huiying Eunice Tong; Ian Yi Han Ang; Lynette Pei-Chi Shek; Seang Mei Saw; Falk Müller-Riemenschneider; Mary Foong-Fong Chong
Journal:  Nutrients       Date:  2021-10-26       Impact factor: 5.717

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

Review 5.  Review of dietary assessment studies conducted among Khmer populations living in Cambodia.

Authors:  Janelle L Windus; Kerith Duncanson; Tracy L Burrows; Clare E Collins; Megan E Rollo
Journal:  J Hum Nutr Diet       Date:  2022-04-19       Impact factor: 2.995

  5 in total

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