scholarly journals Accuracy of estimates of food portion size using food photographs – the importance of using age-appropriate tools

2006 ◽  
Vol 9 (4) ◽  
pp. 509-514 ◽  
Author(s):  
Emma Foster ◽  
John NS Matthews ◽  
Michael Nelson ◽  
Julie M Harris ◽  
John C Mathers ◽  
...  
Keyword(s):  
Original Data ◽  
Portion Size ◽  
Size Estimation ◽  
Average Accuracy ◽  
Portion Sizes ◽  
Food Portion ◽  
Age Appropriate ◽  
Portion Size Estimation ◽  
Size Estimates ◽  
Food Portion Size

AbstractBackgroundIn order to obtain a measure of nutrient intake, a measure or estimate of the amount of food consumed is required. Weighing foods imposes a large burden on subjects, often resulting in underreporting. Tools are available to assist subjects in providing an estimate of portion size and these include food photographs. The application of these tools in improving portion size estimation by children has not been investigated systematically.ObjectivesTo assess the accuracy with which children are able to estimate food portion sizes using food photographs designed for use with adults, and to determine whether the accuracy of estimates is improved when age-appropriate portion size photographs are provided.DesignOriginal data from three separate studies, on the accuracy of portion size estimates by adults using food photographs, by children using adult photographs and by children using age-appropriate photographs, are analysed and compared.SubjectsOne hundred and thirty-five adults aged 18 to 90 years and 210 children aged 4 to 11 years.ResultsChildren's estimates of portion sizes using age-appropriate food photographs were significantly more accurate (an underestimate of 1% on average) than estimates using photographs designed for use with adults (an overestimate of 45% on average). Accuracy of children's estimates of portion size using age-appropriate photographs was not significantly different from that of adults. Children overestimated a food's weight by 18% on average and adults underestimated by 5%.ConclusionsProviding children with food photographs depicting age-appropriate portion sizes greatly increases the accuracy of portion size estimates compared with estimates using photographs designed for use with adults.

scholarly journals A comparison of food portion size estimation by older adults, young adults and nutritionists

2017 ◽  
Vol 22 (2) ◽  
pp. 230-236 ◽  
Author(s):  
Claire Marie Timon ◽  
S. E. Cooper ◽  
M. E. Barker ◽  
A. J. Astell ◽  
T. Adlam ◽  
...  
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Portion Size ◽  
Size Estimation ◽  
Food Portion ◽  
Portion Size Estimation ◽  
Food Portion Size

scholarly journals Children's estimates of food portion size: the effect of timing of dietary interview on the accuracy of children's portion size estimates

2007 ◽  
Vol 99 (1) ◽  
pp. 185-190 ◽  
Author(s):  
E. Foster ◽  
M. O'Keeffe ◽  
J. N. S. Matthews ◽  
J. C. Mathers ◽  
M. Nelson ◽  
...  
Keyword(s):  
Assessment System ◽  
Portion Size ◽  
Assessment Tools ◽  
Nutrient Intakes ◽  
Portion Sizes ◽  
Food Portion ◽  
Size Estimates ◽  
Food Portion Size ◽  
Dietary Interview ◽  
Food Consumed

For food intakes to be converted into nutrient intakes a measure or estimate of the amount of food consumed is required. A number of methods have been developed to assist subjects in providing an estimate of portion size. Children's ability to use perception, conceptualisation and memory skills to estimate food portion size has not been investigated systematically. The aim of the present study was to test the effect of the timing of a dietary interview on the accuracy of estimates of food portion sizes made by children, using food photographs, food models and an interactive portion size assessment system, developed for use with children and based on portion sizes of foods consumed by children. Children (n 108) aged 4–14 years were supplied with known quantities of foods and asked to estimate the portion size of each food using each of the three portion size assessment tools. Interviews took place (a) with the food in view, (b) just after the child had eaten the food or (c) 24 h after the child had eaten the food. There were no significant differences in children's ability to estimate food portion size (either as served or as eaten) with timing of interview. That is, children were as accurate in their estimates of portion size 24 h after consuming the food as when the food was in view. Under these conditions many children were able to estimate food portion size utilising perception, conceptualisation and memory skills.

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

Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 175
Author(s):  
Dang Khanh Ngan Ho ◽  
Wan-Chun Chiu ◽  
Yu-Chieh Lee ◽  
Hsiu-Yueh Su ◽  
Chun-Chao Chang ◽  
...  
Keyword(s):  
Dietary Assessment ◽  
Portion Size ◽  
First Semester ◽  
Remedial Teaching ◽  
Portion Sizes ◽  
Food Portion ◽  
Dietetic Students ◽  
Medical University ◽  
Size Estimates ◽  
Food Portion Size

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 (r ≥ 0.33~0.75, all p < 0.0001). Repeated IBDA training significantly improved students’ image-viewing skills [food identification: first semester: 67%; pretest: 77%; second semester: 84%) and quantification [±10%: first semester: 23%; pretest: 28%; second semester: 32%; and ±20%: first semester: 38%; pretest: 48%; second semester: 59%] and reduced absolute estimated errors from 27% (first semester) to 16% (second semester). Training also greatly improved the identification of omitted foods (e.g., condiments, sugar, cooking oil, and batter coatings) and the accuracy of food portion size estimates. The integration of an IBDA into dietetic courses has the potential to help students develop knowledge and skills related to “e-dietetics”.

scholarly journals An evaluation of a virtual atlas of portion sizes (VAPS) mobile augmented reality for portion size estimation

2020 ◽  
Author(s):  
Meng Chun Lam ◽  
Nur Afyfah Suwadi ◽  
Adibah Huda Mohd Zainul Arifien ◽  
Bee Koon Poh ◽  
Nik Shanita Safii ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Dietary Assessment ◽  
3D Models ◽  
Health Science ◽  
Portion Size ◽  
Size Estimation ◽  
Portion Sizes ◽  
Food Portion ◽  
Science Group ◽  
Portion Size Estimation

Abstract Food portion size estimation is a critical yet challenging task in dietary assessment. Augmented reality technology enables the presentation of food dimensions and volume in a virtual three-dimensional object. It has the potential to improve perception and estimation of portion sizes. This study aims to develop and evaluate a novel mobile augmented reality application, namely Virtual Atlas of Portion Sizes (VAPS), as a portion size estimation aid. The development methodology of VAPS involves food photography, reconstruction of 3D models using photogrammetry method and presenting them in an AR environment. The 3D food models displayed in either semi-transparent or vivid mode for users to perform food portion estimation. Users can then resize and rotate the 3D models to fit the virtual model with the actual food. A total of thirty-six participants were involved in the evaluation and were divided into a health science and a non-health science background group. VAPS received good usability level with 76 SUS score. In terms of task completion time, unsurprisingly, the health science group performed faster. However, both groups have equivalent accuracy on the food portion estimation task using VAPS: 22.5% for non-health science group and 26.6% for health science group. The health science group liked and have better accuracy in vivid 3D food models (37.5%). Meanwhile, the non-health science group preferred semi-transparent 3D food models, but the accuracy is not significantly different between semi-transparent (25%) and vivid 3D food model (20%). Results demonstrate the potential of VAPS to aid in portion size estimation for dietary assessment, and participants’ feedback will be incorporated in the future for improvement of the app.

Food portion size estimation by men with Type II diabetes

1986 ◽  
Vol 86 (2) ◽  
pp. 249-251
Author(s):  
Stephen R. Rapp ◽  
Patricia M. Dubbert ◽  
Paul A. Burkett ◽  
Yvonne Buttross
Keyword(s):  
Type Ii Diabetes ◽  
Portion Size ◽  
Type Ii ◽  
Size Estimation ◽  
Food Portion ◽  
Portion Size Estimation ◽  
Food Portion Size
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