Portion size estimation and expectation of accuracy

Hernández, Teresita; Wilder, Lora; Kuehn, Doris; Rubotzky, Kenneth; Moser-Veillon, Phylis; Godwin, Sandria; Thompson, Cindy; Wang, Chunling

doi:10.1016/j.jfca.2006.02.010

Cited by 96Nutrition, Health and Food BehaviorNutritional Studies and DietConsumer Attitudes and Food Labeling

Portion size estimation and expectation of accuracy

Hernández, Teresita, Wilder, Lora, Kuehn, Doris, Rubotzky, Kenneth, Moser-Veillon, Phylis, Godwin, Sandria, Thompson, Cindy, Wang, Chunling·2006·Journal of Food Composition and Analysis

DOI 10.1016/j.jfca.2006.02.010

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Abstract

The accuracy of portion size estimates is critical in dietary assessment. The objectives of this study were to determine the magnitude and direction of error in estimating food amounts using computer-based portion anchors; to compare errors between use of computer- and poster-displayed anchors; and to assess level of accuracy that can reasonably be expected for different food types. A total of 101 subjects estimated amounts of food items (five solid, four amorphous, three liquid) using computer-based portion anchors. Half of the subjects also estimated five of the foods using digital photographs printed onto a poster. Two modes of testing were conducted: real time, in which foods were displayed near the computer or poster, and short-term recall, in which food was consumed and then estimated. Overall error (mean±se) in real time was 4.8%±1.8%; by food type, solid was 8.3%±2.3%, amorphous was -10%±2.7%, and liquid was 19%±5%. However, group mean values could mask true errors. This research showed that even within food type, variables including amount served and its closeness to anchor size affected accuracy of estimates. For each food, amount served correlated inversely with magnitude of error. The findings provide insight into sources of error in portion estimation, and factors to consider in setting reasonable levels of accuracy.

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Portion size estimation is difficult even when measurement aids are present in the picture.
“Portion size estimation is difficult even when measurement aids are present in the picture [18,19,38].”
From Factors related to sustained use of a free mobile app for dietary self-monitoring with photography and peer feedback: retrospective cohort study (2014) · cites this paper as [38]

Estimation of food portion size using photographs: validity, strengths, weaknesses and recommendations
Lucas, F., Niravong, M., Villeminot, S., Kaaks, R., & Clavel‐Chapelon, F. (1995) · Journal of Human Nutrition and Dietetics · doi:10.1111/j.1365-277x.1995.tb00296.x · Cited by 152 · see citing works
Portion Sizes in Dietary Assessment: Issues and Policy Implications
Young, L. R., & Nestle, M. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1995.tb01542.x · Cited by 151 · see citing works
Validity of Portion-Size Measurement Aids
Cypel, Y., Guenther, P. M., & Petot, G. J. (1997) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(97)00074-6 · Cited by 124 · see citing works
Cognitive Strategies for Reporting Portion Sizes Using Dietary Recall Procedures
Chambers, E., Godwin, S., & Vecchio, F. A. G. (2000) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(00)00259-5 · Cited by 92 · see citing works
Self-citation
Food photographs: practical guidelines I. Design and analysis of studies to validate portion size estimates
Nelson, M., & Haraldsdóttir, J. (1998) · Public Health Nutrition · doi:10.1079/phn19980038 · Cited by 90 · see citing works
Accuracy of reporting dietary intake using various portion-size aids in-person and via telephone
Godwin, S., Chambers, E., & Cleveland, L. (2004) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2004.01.006 · Cited by 76 · see citing works
Self-citation
Accuracy of estimation of large food portions
Harnack, L., Steffen, L. M., Arnett, D. K., Gao, S., & Luepker, R. V. (2004) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2004.02.026 · Cited by 68 · see citing works
Multimethod Training Increases Portion-Size Estimation Accuracy
WEBER, J. L., Tinsley, A. M., HOUTKOOPER, L. B., & Lohman, T. G. (1997) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(97)00046-1 · Cited by 52 · see citing works
Quantifying portion sizes for selected snack foods and beverages in 24-hour dietary recalls
Chambers, E., McGuire, B., Godwin, S., McDowell, M., & Vecchio, F. (2000) · Nutrition Research · doi:10.1016/s0271-5317(00)00125-1 · Cited by 24 · see citing works
Self-citation
Subjects' Estimation of Food Intake and Calculated Nutritive Value of the Diet
Young, C. M., Chalmers, F. W., Church, H. N., Clayton, M. M., Murphy, G. C., & Tucker, R. E. (1953) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)32076-4 · Cited by 22 · see citing works
Was it a slab, a slice, or a sliver?
McBride, E. F. (2001) · Agricultural research · Cited by 10 · see citing works
Estimates of daily individual food intakes obtained by food image processing
Sevenhuysen, G. P., van Staveren, W., Dekker, K., & Spronck, E. (1990) · Nutrition Research · doi:10.1016/s0271-5317(05)80038-7 · Cited by 2 · see citing works
The use of photo imagery as a teaching tool
Howat, P. M., & Church, G. E. (1995) · Topics in Clinical Nutrition · doi:10.1097/00008486-199503000-00012 · Cited by 2 · see citing works

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General principles for the collection of national food consumption data in the view of a pan-European dietary survey
Authority, E. F. S. (2009) · EFSA Journal · doi:10.2903/j.efsa.2009.1435 · Cited by 346 · see citing works
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Subar, A. F., Crafts, J., Zimmerman, T. P., Wilson, M., Mittl, B., Islam, N. G., McNutt, S., Potischman, N., Buday, R., Hull, S. G., et al. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.007 · Cited by 224 · see citing works
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Accuracy in the estimation of food servings against the portions in food photographs
Ovaskainen, M.-L., Paturi, M., Reinivuo, H., Hannila, M.-L., Sinkko, H., Lehtisalo, J., Pynnönen-Polari, O., & Männistö, S. (2008) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602758 · Cited by 137 · see citing works
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Vereecken, C. A., Dohogne, S., Covents, M., & Maes, L. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510000127 · Cited by 63 · see citing works
Research into food portion size: methodological aspects and applications
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Foster, E., Hawkins, A., Barton, K., Stamp, E., Matthews, J. N. S., & Adamson, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169084 · Cited by 42 · see citing works
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Trolle, E., Vandevijvere, S., Ruprich, J., Ege, M., Dofková, M., de Boer, E., & Ocké, M. C. (2013) · British Journal Of Nutrition · doi:10.1017/s0007114513001694 · Cited by 41 · see citing works
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Technology-based methods of dietary assessment: recent developments and considerations for clinical practice
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de Vlieger, N., Weltert, M., Molenaar, A., McCaffrey, T. A., Rollo, M. E., Truby, H., Livingstone, M. B. E., Kirkpatrick, S. I., Boushey, C. J., Kerr, D. A., et al. (2019) · Appetite · doi:10.1016/j.appet.2019.104522 · Cited by 18 · see citing works
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Arroyo‐Izaga, M., de la Pera, C. M., Ansotegui, L., & Rocandio, A. M. (2026) · Archivos Latinoamericanos de Nutrición · doi:10.37527/2007.57.2.008 · Cited by 18 · see citing works
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The Design of a Mobile Portion Size Estimation Interface for a Low Literacy Population
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Jun, Z., Bell, D., Nusrat, S., Hingle, M. D., Surdeanu, M., & Kobourov, S. (2018) · Interactive Journal of Medical Research · doi:10.2196/ijmr.9359 · Cited by 16 · see citing works
Supporting visual assessment of food and nutrient intake in a clinical care setting
Comber, R., Weeden, J., Hoare, J., Lindsay, S., Teal, G., Macdonald, A. S., Methven, L., Moynihan, P. J., & Olivier, P. L. (2012) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208534 · Cited by 14 · see citing works
Food Portion Estimation by Children with Obesity: The Effects of Estimation Method and Food Type
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Yang, S., Gemming, L., & Rangan, A. (2018) · Nutrients · doi:10.3390/nu10020139 · Cited by 12 · see citing works
The Role of Various Forms of Training on Improved Accuracy of Food-Portion Estimation Skills: A Systematic Review of the Literature
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Sensitivity to portion size of unhealthy foods
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Lai, C. Y., Lo, Y. W., Chow, C., Chan, C. C. H., & Mung, S. W. Y. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3620093 · Cited by 4 · see citing works
Evolution of food intake estimates in Brazil: the 2008-2009 and 2017-2018 National Dietary Surveys
Bezerra, I. N., Cavalcante, J. B., de Vasconcelos, T. M., Pereira, R. A., Yokoo, E. M., & Sichieri, R. (2022) · Revista de Nutrição · doi:10.1590/1678-9865202235e210132 · Cited by 4 · see citing works
The Influence of Portion Size on Eating and Drinking
Zuraikat, F. M., Smethers, A. D., & Rolls, B. J. (2020) · Springer eBooks · doi:10.1007/978-3-030-14504-0_129 · Cited by 4 · see citing works
Design and Evaluation of Online and Mobile Applications for Stress Management and Healthy Eating
Kaipainen, K. (2014) · Tampere University Institutional Repository (Tampere University) · Cited by 4 · see citing works
Exploring fast food consumption behaviours and social influence.
Brindal, E. (2010) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 4 · see citing works
Portion Size Norms of Discretionary Foods and Eating Settings: A Repeated Cross-Sectional Study
Liu, Q., Allman-Farinelli, M. A., & Rangan, A. (2024) · Nutrients · doi:10.3390/nu16213670 · Cited by 3 · see citing works
From stool to sequence: decoding the human diet with FoodSeq
Superdock, D. K., Petrone, B. L., Kirtley, M. C., & David, L. A. (2025) · mSystems · doi:10.1128/msystems.00158-25 · Cited by 3 · see citing works
The Estimation of Standard Portion Sizes Using Food Photographic Booklet Among University Students in Turkey
Almasi, N., & Rakıcıoğlu, N. (2021) · Clinical and Experimental Health Sciences · doi:10.33808/clinexphealthsci.886274 · Cited by 3 · see citing works
Estimation accuracy of bean bags as portion size estimation aids for amorphous foods
Wenhold, F. A. M., & MacIntyre, U. E. (2024) · South African Journal of Clinical Nutrition · doi:10.1080/16070658.2024.2336290 · Cited by 3 · see citing works
What Is the Tech Missing? Nutrition Reporting in Type 1 Diabetes
Lubasinski, N., Thabit, H., Nutter, P. W., & Harper, S. (2024) · Nutrients · doi:10.3390/nu16111690 · Cited by 3 · see citing works
Assessing dietary intake in adolescents: the Role of food portion size evaluation in food frequency questionnaires
Mendes, V. (2015) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/rpcb-da53 · Cited by 3 · see citing works
Nutrient intakes of Canadian children and adolescents at school by meal occasion and location of food preparation
Ziraldo, E. R., Ahmed, M., Mulligan, C., Sellen, D., & L’Abbé, M. R. (2025) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2024-0027 · Cited by 2 · see citing works
The Influence of Portion Size on Eating and Drinking
Zuraikat, F. M., Smethers, A. D., & Rolls, B. J. (2019) · Springer eBooks · doi:10.1007/978-3-319-75388-1_129-1 · Cited by 2 · see citing works
Advancements in Machine Learning and Computer Vision Approaches for Food and Nutrient Recognition from Images: A Survey
Chummun, P. G., Suddul, G., & Armoogum, S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-8346-9_14 · Cited by 1 · see citing works
Food Fads, Digitality, and Culinary Tourism
Vijayaraghavan, A. P., & Chattaraj, D. (2024) · Springer eBooks · doi:10.1007/978-981-97-9302-0_5 · Cited by 1 · see citing works
Food Portion Size Estimation for Developing a Healthy Eating Index: Influence of Unit Count and Energy Density
Asna, A. F., Kartini, A., Pangestuti, D. R., Lisnawati, N., & Husna, J. (2024) · BIO Web of Conferences · doi:10.1051/bioconf/202413300006 · Cited by 1 · see citing works
Imagine this: Visualising a recent meal as bigger reduces subsequent snack intake
Szypula, J., Ahern, A. L., & Cheke, L. G. (2022) · Appetite · doi:10.1016/j.appet.2022.106411 · Cited by 2 · see citing works
Size matters!: the joint influence of the size of portion, food item and container on food intake
Marchiori, D. R., & Klein, O. (2012) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 1 · see citing works
Dietary assessment: developing, validating, and improving a 24-hour Web food report questionnaire
DESAI, J. R. (2013) · University of Minnesota Digital Conservancy (University of Minnesota)
Testing the feasibility of Intake24 as an portion size estimation aid
Mauerhoefer, L., Kawelke, P., Poliakov, I., Olivier, P. L., & Foster, E. (2014) · Newcastle University ePrints (Newcastle Univesity) · doi:10.25405/ncl.34231053
Evaluering av bildeheftet brukt i Norkost 3
Dalby, I. (2011) · NORA - Norwegian Open Research Archives
Concordancia entre los valores de consumo de energía y macronutrientes utilizando dos métodos de evaluación
Hernández, P., & Paola, G. (2015)
Dietary intake data quality in the clinical research setting: Implications of quality improvement
Guan, V. X. (2019) · Research Online (University of Wollongong)
Two-view 3D Reconstruction for Food Volume EstimationPreprint
Dehais, J., Anthimopoulos, M., Shevchik, S. A., & Mougiakakou, S. G. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1701.03330
The interplay between diet, gastrointestinal complaints and gut microbiota: more than a gut feeling?
Rijnaarts, I. (2022) · doi:10.18174/567948
Acceptance, impact and mechanisms of action of portion control tools for the management of body weight in adults
Vargas, M. D. L. Á. (2022) · doi:10.15581/10171/63680
Top food categories contributing to Canadian children’s energy and nutrient intakes at school
Ziraldo, E. R., Wedekind, E., Ahmed, M., Sellen, D., & L’Abbé, M. R. (2026) · PLoS ONE · doi:10.1371/journal.pone.0340494
Benchmarking Open-Source Vision–Language Models for Food Image Recognition and Portion Size Estimation
Marchetti, T., Capezzone, S., Esposito, R., Spirito, M. D., & Maulucci, G. (2026) · Nutrients · doi:10.3390/nu18213582

Estimation of food portion size using photographs: validity, strengths, weaknesses and recommendations
Lucas, F., Niravong, M., Villeminot, S., Kaaks, R., & Clavel‐Chapelon, F. (1995) · Journal of Human Nutrition and Dietetics · doi:10.1111/j.1365-277x.1995.tb00296.x · Cited by 152 · see citing works
Accuracy in the estimation of food servings against the portions in food photographs
Ovaskainen, M.-L., Paturi, M., Reinivuo, H., Hannila, M.-L., Sinkko, H., Lehtisalo, J., Pynnönen-Polari, O., & Männistö, S. (2008) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602758 · Cited by 137 · see citing works
Food Portion Size Estimation for Developing a Healthy Eating Index: Influence of Unit Count and Energy Density
Asna, A. F., Kartini, A., Pangestuti, D. R., Lisnawati, N., & Husna, J. (2024) · BIO Web of Conferences · doi:10.1051/bioconf/202413300006 · Cited by 1 · see citing works
Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera
Jia, W., Chen, H.-C., Yue, Y., Li, Z., Fernstrom, J. D., Bai, Y., Li, C., & Sun, M. (2013) · Public Health Nutrition · doi:10.1017/s1368980013003236 · Cited by 108 · see citing works
Accuracy of estimates of serving size using digitally displayed food photographs among Japanese adults
Shinozaki, N., & Murakami, K. (2022) · Journal of Nutritional Science · doi:10.1017/jns.2022.102 · Cited by 7 · see citing works

Authors: Hernández, T., Wilder, L., Kuehn, D., Rubotzky, K., Moser-Veillon, P., Godwin, S., Thompson, C., & Wang, C.
Affiliations: Health Technomics (United States) (US)
Tennessee State University (US)
University of Maryland, College Park (US)
Corresponding author: Hernández, Teresita
ORCID: Wang, Chunling
Venue: Journal of Food Composition and Analysis
Publisher: Elsevier BV
Published: 2006-08
Volume: 19
Pages: S14-S21
ISSN: 0889-1575 (ISSN-L)
DOI: 10.1016/j.jfca.2006.02.010
OpenAlex: W2084913931
Cited by: 96
References: 13
Citations by year: 2026: 3 · 2025: 3 · 2024: 6 · 2023: 5 · 2022: 8 · 2021: 8 · 2020: 4 · 2019: 8 · 2018: 7 · 2017: 9 · 2016: 5 · 2015: 5 · 2014: 4 · 2013: 4 · 2012: 8
FWCI: 0.88
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Food Composition and Analysis (publishedVersion)
Topics: Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
Keywords: portion size estimation, dietary assessment, estimation error, food type, liquid foods, short-term recall

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Portion size estimation and expectation of accuracy

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