Literature DB >> 16863721

A new portion size estimation aid for wedge-shaped foods.

Sandria Godwin1, Edgar Chambers, Linda Cleveland, Linda Ingwersen.   

Abstract

Dietary surveys are important for understanding food consumption patterns in national studies, clinical research, and patient counseling. Portion size estimation aids usually increase accuracy of consumers' reports of the amount of food they ate in dietary surveys. However, wedge-shaped foods (eg, pie, cake, and pizza) pose special problems; this shape is not easily estimated by previously available portion size estimation aids. In focus groups, respondents indicate they need a portion size estimation aid that is easier to use than a ruler for portion estimation of wedge-shaped foods. An adjustable wedge was developed and tested with 320 respondents, ages 18 to 65 years, of various races and education levels, and both sexes, in four states using multiple sizes and types of wedge-shaped foods. The accuracy of portion size estimation with the two portion size estimation aids was assessed. The adjustable wedge gave similar results to the ruler for most portions tested, but was more accurate (P<0.05) than the ruler in approximately one third of comparisons. Both aids resulted in substantial misestimation, indicating that regardless of aid some people have difficulty estimating portions of wedge-shaped foods. The adjustable wedge was easy for people to use and can be recommended as an option for estimating portion size of wedge-shaped foods.

Entities:  

Mesh:

Year:  2006        PMID: 16863721     DOI: 10.1016/j.jada.2006.05.006

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  6 in total

1.  Imaged based estimation of food volume using circular referents in dietary assessment.

Authors:  Wenyan Jia; Yaofeng Yue; John D Fernstrom; Ning Yao; Robert J Sclabassi; Madelyn H Fernstrom; Mingui Sun
Journal:  J Food Eng       Date:  2011-10-06       Impact factor: 5.354

2.  Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera.

Authors:  Wenyan Jia; Hsin-Chen Chen; Yaofeng Yue; Zhaoxin Li; John Fernstrom; Yicheng Bai; Chengliu Li; Mingui Sun
Journal:  Public Health Nutr       Date:  2013-12-04       Impact factor: 4.022

3.  ServAR: An augmented reality tool to guide the serving of food.

Authors:  Megan E Rollo; Tamara Bucher; Shamus P Smith; Clare E Collins
Journal:  Int J Behav Nutr Phys Act       Date:  2017-05-12       Impact factor: 6.457

4.  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

5.  Accuracy of hands v. household measures as portion size estimation aids.

Authors:  Alice A Gibson; Michelle S H Hsu; Anna M Rangan; Radhika V Seimon; Crystal M Y Lee; Arpita Das; Charles H Finch; Amanda Sainsbury
Journal:  J Nutr Sci       Date:  2016-07-11

Review 6.  A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment.

Authors:  Ghalib Ahmed Tahir; Chu Kiong Loo
Journal:  Healthcare (Basel)       Date:  2021-12-03
  6 in total

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