DOI QR코드

DOI QR Code

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

  • Lee, Youngmi (Department of Food and Nutrition, Myongji University) ;
  • Kim, Mi-Hyun (Division of Food Science, Kongju National University) ;
  • Shim, Jae Eun (Department of Food and Nutrition, Daejeon University) ;
  • Park, Haeryun (Department of Food and Nutrition, Myongji University)
  • Received : 2020.07.20
  • Accepted : 2020.09.28
  • Published : 2020.12.01

Abstract

BACKGROUND/OBJECTIVES: This study aimed to improve portion size estimation aids (PSEAs) used in the nutrition survey of the Korea National Health and Nutrition Examination Survey (KNHANES) and validate the accuracy and precision of the newly developed aids. SUBJECTS/METHODS: We conducted intensive interviews with survey experts in KNHANES and consulted with experts to collect opinions about improvement of PSEAs. Based on the results of the interviews, 5 types of PSEAs (rice bowl, earthen pots, mounds, measuring spoons, and thickness sticks) were newly developed using 3-dimensional (3D) modeling or modification of color or shape. Validation tests were conducted with 96 adults 20 years old or older. For the rice bowl and earthen pots, the participants were asked to select the more similar PSEA in size after being shown the real dishes. For the mounds, measuring spoons, and thickness sticks, the participants were presented with actual plates of food and asked to estimate the given portion sizes using the given PSEAs. RESULTS: The improved 2-dimensional (2D) picture aid for the rice bowl reflecting the size distortion by angle of view using 3D modeling was perceived more closely to the actual size than the current 2D picture (P < 0.001). The change of the color of 2D pictures and 3D models, the change of shape of the measuring spoons, and the 3-dimensionalization of the 2D mounds had no significant improvement in the subjects' perception. CONCLUSIONS: The currently used 2D PSEAs need to be fully redesigned using 3D modeling to improve subjects' perception. However, change of color or shape will not be necessary. For amorphous foods, it is suggested that more evaluation be performed before reaching a final conclusion in the use of PSEAs, or alternative ways to improve accuracy of estimation need to be explored.

References

  1. Nelson M, Atkinson M, Darbyshire S. Food photography II: use of food photographs for estimating portion size and the nutrient content of meals. Br J Nutr 1996;76:31-49. https://doi.org/10.1079/BJN19960007
  2. Nelson M, Atkinson M, Darbyshire S. Food photography. I: the perception of food portion size from photographs. Br J Nutr 1994;72:649-63. https://doi.org/10.1079/BJN19940069
  3. Lucas F, Niravong M, Villeminot S, Kaaks R, Clavel-Chapelon F. Estimation of food portion size using photographs: validity, strengths, weaknesses and recommendations. J Hum Nutr Diet 1995;8:65-74. https://doi.org/10.1111/j.1365-277X.1995.tb00296.x
  4. Cypel YS, Guenther PM, Petot GJ. Validity of portion-size measurement aids: a review. J Am Diet Assoc 1997;97:289-92. https://doi.org/10.1016/S0002-8223(97)00074-6
  5. Robson PJ, Livingstone MB. An evaluation of food photographs as a tool for quantifying food and nutrient intakes. Public Health Nutr 2000;3:183-92. https://doi.org/10.1017/S1368980000000215
  6. Matheson DM, Hanson KA, McDonald TE, Robinson TN. Validity of children's food portion estimates: a comparison of 2 measurement aids. Arch Pediatr Adolesc Med 2002;156:867-71. https://doi.org/10.1001/archpedi.156.9.867
  7. de Vlieger NM, Weltert M, Molenaar A, McCaffrey TA, Rollo ME, Truby H, Livingstone B, Kirkpatrick SI, Boushey CJ, Kerr DA, Collins CE, Bucher T. A systematic review of recall errors associated with portion size estimation aids in children. Appetite 2020;147:104522. https://doi.org/10.1016/j.appet.2019.104522
  8. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2018: Korea National Health and Nutrition Examination Survey (KNHANES VII-3) [Internet]. Cheongju: Korea Centers for Disease Control and Prevention; 2019 [cited 2019 March 6]. Available from: https://knhanes.cdc.go.kr/knhanes/main.do.
  9. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Guideline for Nutrition Survey in 6th Korea National Health and Nutrition Examination Survey. Cheongju: Korea Centers for Disease Control and Prevention; 2015.
  10. Godwin S, McGuire B, Chambers E 4th, McDowell M, Cleveland L, Edwards-Perry E, Ingwersen L. Evaluation of portion size estimation aids used for meat in dietary surveys. Nutr Res 2001;21:1217-33. https://doi.org/10.1016/S0271-5317(01)00336-0
  11. Godwin S, Chambers E 4th, Cleveland L, Ingwersen L. A new portion size estimation aid for wedge-shaped foods. J Am Diet Assoc 2006;106:1246-50. https://doi.org/10.1016/j.jada.2006.05.006
  12. McGuire B, Chambers E 4th, Godwin S, Brenner S. Size categories most effective for estimating portion size of muffins. J Am Diet Assoc 2001;101:470-2. https://doi.org/10.1016/S0002-8223(01)00121-3
  13. Venter CS, MacIntyre UE, Vorster HH. The development and testing of a food portion photograph book for use in an African population. J Hum Nutr Diet 2000;13:205-18. https://doi.org/10.1046/j.1365-277x.2000.00228.x
  14. Turconi G, Guarcello M, Berzolari FG, Carolei A, Bazzano R, Roggi C. An evaluation of a colour food photography atlas as a tool for quantifying food portion size in epidemiological dietary surveys. Eur J Clin Nutr 2005;59:923-31. https://doi.org/10.1038/sj.ejcn.1602162
  15. Bernal-Orozco MF, Vizmanos-Lamotte B, Rodriguez-Rocha NP, Macedo-Ojeda G, Orozco-Valerio M, Roville-Sausse F, Leon-Estrada S, Marquez-Sandoval F, Fernandez-Ballart JD. Validation of a Mexican food photograph album as a tool to visually estimate food amounts in adolescents. Br J Nutr 2013;109:944-52. https://doi.org/10.1017/S0007114512002127
  16. Thoradeniya T, de Silva A, Arambepola C, Atukorala S, Lanerolle P. Portion size estimation aids for Asian foods. J Hum Nutr Diet 2012;25:497-504. https://doi.org/10.1111/j.1365-277X.2012.01245.x
  17. Almiron-Roig E, Aitken A, Galloway C, Ellahi B. Dietary assessment in minority ethnic groups: a systematic review of instruments for portion-size estimation in the United Kingdom. Nutr Rev 2017;75:188-213. https://doi.org/10.1093/nutrit/nuw058
  18. Yuhas JA, Bolland JE, Bolland TW. The impact of training, food type, gender, and container size on the estimation of food portion sizes. J Am Diet Assoc 1989;89:1473-7.
  19. Slawson DL, Eck LH. Intense practice enhances accuracy of portion size estimation of amorphous foods. J Am Diet Assoc 1997;97:295-7. https://doi.org/10.1016/S0002-8223(97)00076-X
  20. Ovaskainen ML, Paturi M, Reinivuo H, Hannila ML, Sinkko H, Lehtisalo J, Pynnonen-Polari O, Mannisto S. Accuracy in the estimation of food servings against the portions in food photographs. Eur J Clin Nutr 2008;62:674-81. https://doi.org/10.1038/sj.ejcn.1602758
  21. Young LR, Nestle MS. Portion sizes in dietary assessment: issues and policy implications. Nutr Rev 1995;53:149-58. https://doi.org/10.1111/j.1753-4887.1995.tb01542.x
  22. Hwang IK, Kim MR, Song HN, Moon BK, Lee SM, Seo HS. Food Quality Management and Sensory Evaluation. Paju: Kyomunsa; 2014. p.147-75.
  23. Chambers E 4th, Godwin SL, Vecchio FA. Cognitive strategies for reporting portion sizes using dietary recall procedures. J Am Diet Assoc 2000;100:891-7. https://doi.org/10.1016/S0002-8223(00)00259-5
  24. Meilgaard MC, Civille GV, Carr BT. Sensory Evaluation Techniques. Boca Raton (FL): CRC Press; 2007. p.435.
  25. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2016: Korea National Health and Nutrition Examination Survey (KNHANES VII-1). Cheongju: Korea Centers for Disease Control and Prevention; 2017. p.169.
  26. Nelson M, Haraldsdottir J. Food photographs: practical guidelines I. Design and analysis of studies to validate portion size estimates. Public Health Nutr 1998;1:219-30. https://doi.org/10.1079/PHN19980038