Literature DB >> 29428006

Reliability and validity of food portion size estimation from images using manual flexible digital virtual meshes.

Alicia Beltran1, Hafza Dadabhoy1, Courtney Ryan1, Ruchita Dholakia1, Janice Baranowski1, Yuecheng Li2, Guifang Yan3, Wenyan Jia2, Mingui Sun2, Tom Baranowski1.   

Abstract

OBJECTIVE: The eButton takes frontal images at 4s intervals throughout the day. A three-dimensional manually administered wire mesh procedure has been developed to quantify portion sizes from the two-dimensional images. The present paper reports a test of the inter-rater reliability and validity of use of the wire mesh procedure.
DESIGN: Seventeen foods of diverse shapes and sizes served on plates, bowls and cups were selected to rigorously test the portion assessment procedure. A dietitian not involved in inter-rater reliability assessment used standard cups to independently measure the quantities of foods to generate the 'true' value for a total of seventy-five 'served' and seventy-five smaller 'left' images with diverse portion sizes.
SETTING: The images appeared on the computer to which the digital wire meshes were applied.
SUBJECTS: Two dietitians and three engineers independently estimated portion size of the larger ('served') and smaller ('left') images for the same foods.
RESULTS: The engineers had higher reliability and validity than the dietitians. The dietitians had lower reliabilities and validities for the smaller more irregular images, but the engineers did not, suggesting training could overcome this limitation. The lower reliabilities and validities for foods served in bowls, compared with plates, suggest difficulties with the curved nature of the bowls.
CONCLUSIONS: The wire mesh procedure is an important step forward in quantifying portion size, which has been subject to substantial self-report error. Improved training procedures are needed to overcome the identified problems.

Entities:  

Keywords:  Diet; Images; Portion size; Reliability; Validity; Wire mesh

Mesh:

Year:  2018        PMID: 29428006     DOI: 10.1017/S1368980017004293

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  5 in total

1.  Public Health Procedures, Alone, Will Not Prevent Child Obesity.

Authors:  Tom Baranowski; Kathleen J Motil; Jennette P Moreno
Journal:  Child Obes       Date:  2019-09       Impact factor: 2.992

2.  Dietary Assessment with a Wearable Camera among Children: Feasibility and Intercoder Reliability.

Authors:  Alicia Beltran; Hafza Dadabhoy; Courtney Ryan; Ruchita Dholakia; Wenyan Jia; Janice Baranowski; Mingui Sun; Tom Baranowski
Journal:  J Acad Nutr Diet       Date:  2018-08-13       Impact factor: 4.910

3.  Advances and Controversies in Diet and Physical Activity Measurement in Youth.

Authors:  Donna Spruijt-Metz; Cheng K Fred Wen; Brooke M Bell; Stephen Intille; Jeannie S Huang; Tom Baranowski
Journal:  Am J Prev Med       Date:  2018-08-19       Impact factor: 5.043

4.  Man or machine? Will the digital transition be able to automatize dietary intake data collection?

Authors:  Bent Egberg Mikkelsen
Journal:  Public Health Nutr       Date:  2019-05       Impact factor: 4.022

5.  A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation.

Authors:  Wenyan Jia; Yiqiu Ren; Boyang Li; Britney Beatrice; Jingda Que; Shunxin Cao; Zekun Wu; Zhi-Hong Mao; Benny Lo; Alex K Anderson; Gary Frost; Megan A McCrory; Edward Sazonov; Matilda Steiner-Asiedu; Tom Baranowski; Lora E Burke; Mingui Sun
Journal:  Sensors (Basel)       Date:  2022-02-15       Impact factor: 3.576

  5 in total

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