Nutrition Research and Practice

The Korean Nutrition Society (한국영양학회)
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A short education session increases the accuracy of estimated food records in young Korean women during a controlled-feeding study

  • Kim, Seunghee (Department of Food and Nutrition, Chonnam National University) ;
  • Lee, Bora (Department of Food and Nutrition, Chonnam National University) ;
  • Park, Clara Yongjoo (Department of Food and Nutrition, Chonnam National University)
  • Received : 2020.09.22
  • Accepted : 2020.12.18
  • Published : 2021.10.01
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Abstract

BACKGROUND/OBJECTIVES: Despite the widespread use of dietary assessment tools, the validity of food records has not been evaluated in Koreans. We assessed the accuracy of estimated food records and the effect of a short education session in young Korean women. SUBJECTS/METHODS: Thirty women (aged 18-23 yrs) each completed 3 food records during a controlled-feeding study. One educational session was provided on day 2 of the study. Food records were analyzed for the accuracy of food items and portion size estimation according to food group (grains; meat, fish, eggs, and beans; vegetables; fruit; dairy; and oils and sugars) and type of dish (rice, kimchi, soup, side dishes, spreads, beverages, and snacks). Reported food items were categorized as exact, close, or far matches, exclusions, or intrusions. Portion sizes were evaluated as accurate, similar, or inaccurate estimates, or missing. The means of days 2 and 3 were used to assess post-education results. Paired t-tests were performed to assess the effects of the education session. RESULTS: The mean percentages of exact matches, close matches, far matches, and exclusions on day 1 were 80.9%, 10.9%, 2.0%, and 6.2%, respectively, and mean intrusions observed were 0.1. The education session slightly increased the accuracy of recorded food items. The percentages of accurate, similar, and inaccurate estimates, and missing portion sizes were 11.7%, 19.8%, 12.2%, and 56.3%, respectively, at baseline. The percentage of missing portion size estimates decreased to 14.0% after the education session, resulting in an increase in the percentages of all other estimates. An increase was observed in the accuracy of reported portion sizes of vegetables, rice, and kimchi. CONCLUSIONS: In young Korean women, estimated food records are highly accurate for food items but not for portion size estimates without prior education. A short education session can improve the accuracy of portion size estimation.

Keywords

Acknowledgement

This research was a part of the project titled 'The base study to discover and to commercialize for the resources of sea healing to activate marine industry', funded by the Ministry of Oceans and Fisheries, Korea (20170242). This study was also financially supported by Chonnam National University (Grant number: 2019-0211).

References

  1. Willett W. Nutritional Epidemiology. 3rd ed. New York (NY): Oxford University Press; 2013.
  2. Stubbs RJ, O'Reilly LM, Whybrow S, Fuller Z, Johnstone AM, Livingstone MB, Ritz P, Horgan GW. Measuring the difference between actual and reported food intakes in the context of energy balance under laboratory conditions. Br J Nutr 2014;111:2032-43. https://doi.org/10.1017/S0007114514000154
  3. Bingham SA, Cassidy A, Cole TJ, Welch A, Runswick SA, Black AE, Thurnham D, Bates C, Khaw KT, Key TJ, Day NE. Validation of weighed records and other methods of dietary assessment using the 24 h urine nitrogen technique and other biological markers. Br J Nutr 1995;73:531-50. https://doi.org/10.1079/BJN19950057
  4. De Keyzer W, Huybrechts I, De Vriendt V, Vandevijvere S, Slimani N, Van Oyen H, De Henauw S. Repeated 24-hour recalls versus dietary records for estimating nutrient intakes in a national food consumption survey. Food Nutr Res 2011;55:7307. https://doi.org/10.3402/fnr.v55i0.7307
  5. Martin LJ, Su W, Jones PJ, Lockwood GA, Tritchler DL, Boyd NF. Comparison of energy intakes determined by food records and doubly labeled water in women participating in a dietary-intervention trial. Am J Clin Nutr 1996;63:483-90. https://doi.org/10.1093/ajcn/63.4.483
  6. Poslusna K, Ruprich J, de Vries JH, Jakubikova M, van't Veer P. Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. Br J Nutr 2009;101 Suppl 2:S73-85. https://doi.org/10.1017/S0007114509990602
  7. Prentice RL, Mossavar-Rahmani Y, Huang Y, Van Horn L, Beresford SA, Caan B, Tinker L, Schoeller D, Bingham S, Eaton CB, Thomson C, Johnson KC, Ockene J, Sarto G, Heiss G, Neuhouser ML. Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. Am J Epidemiol 2011;174:591-603. https://doi.org/10.1093/aje/kwr140
  8. Lassale C, Castetbon K, Laporte F, Deschamps V, Vernay M, Camilleri GM, Faure P, Hercberg S, Galan P, Kesse-Guyot E. Correlations between fruit, vegetables, fish, vitamins, and fatty acids estimated by webbased nonconsecutive dietary records and respective biomarkers of nutritional status. J Acad Nutr Diet 2016;116:427-438.e5.
  9. Jeon JH, Go NY, Lee MR, Ndahimana D, Kim EK. Accuracy of 24-hour diet recalls for estimating energy intake in elderly men using the doubly labeled water method. Korean J Community Nutr 2018;23:516-24. https://doi.org/10.5720/kjcn.2018.23.6.516
  10. Kye S, Kwon SO, Lee SY, Lee J, Kim BH, Suh HJ, Moon HK. Under-reporting of energy intake from 24-hour dietary recalls in the Korean National Health and Nutrition Examination Survey. Osong Public Health Res Perspect 2014;5:85-91. https://doi.org/10.1016/j.phrp.2014.02.002
  11. Park CY, Lee B, Lee SJ. Short term intake of Undaria pinnatifida does not affect bone biomarkers in young Korean women with low calcium intake. Clin Nutr Res 2020;9:90-6. https://doi.org/10.7762/cnr.2020.9.2.90
  12. Harris JA, Benedict FG. A biometric study of human basal metabolism. Proc Natl Acad Sci U S A 1918;4:370-3. https://doi.org/10.1073/pnas.4.12.370
  13. Ministry of Health & Welfare; Korean Nutrition Society. Dietary Reference Intakes for Koreans. Sejong: Ministry of Health & Welfare; 2015.
  14. USDA automated multiple-pass method [Internet]. Washington, D.C.: United States Department of Agriculture; 2016 [cited 2018 November 28]. Available from: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/ampm-usda-automated-multiple-pass-method/#what.
  15. Kirkpatrick SI, Subar AF, Douglass D, Zimmerman TP, Thompson FE, Kahle LL, George SM, Dodd KW, Potischman N. Performance of the automated self-administered 24-hour recall relative to a measure of true intakes and to an interviewer-administered 24-h recall. Am J Clin Nutr 2014;100:233-40. https://doi.org/10.3945/ajcn.114.083238
  16. Development of Food and Nutrient Database: Food Portion/Weight Database. Cheongju: Korea Health Industry Development Institute; 2007.
  17. Yang YJ, Kim MK, Hwang SH, Ahn Y, Shim JE, Kim DH. Relative validities of 3-day food records and the food frequency questionnaire. Nutr Res Pract 2010;4:142-8. https://doi.org/10.4162/nrp.2010.4.2.142
  18. Subar AF, Crafts J, Zimmerman TP, Wilson M, Mittl B, Islam NG, McNutt S, Potischman N, Buday R, Hull SG, Baranowski T, Guenther PM, Willis G, Tapia R, Thompson FE. Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated selfadministered 24-hour recall. J Am Diet Assoc 2010;110:55-64. https://doi.org/10.1016/j.jada.2009.10.007
  19. Lafay L, Mennen L, Basdevant A, Charles MA, Borys JM, Eschwege E, Romon M. Does energy intake underreporting involve all kinds of food or only specific food items? Results from the Fleurbaix Laventie Ville Sante (FLVS) study. Int J Obes Relat Metab Disord 2000;24:1500-6. https://doi.org/10.1038/sj.ijo.0801392
  20. Food Service Trends for 2019. Naju: Ministry of Agriculture Food and Rural Affairs, Korea Agro-Fisheries and Food Trade Corporation; 2019.
  21. Wein EE, Sabry JH, Evers FT. Recalled estimates of food portion size. J Can Diet Assoc 1990;51:400-3.
  22. Bolland JE, Ward JY, Bolland TW. Improved accuracy of estimating food quantities up to 4 weeks after training. J Am Diet Assoc 1990;90:1402-4. https://doi.org/10.1016/S0002-8223(21)01803-4
  23. Bolland JE, Yuhas JA, Bolland TW. Estimation of food portion sizes: effectiveness of training. J Am Diet Assoc 1988;88:817-21. https://doi.org/10.1016/S0002-8223(21)07908-6
  24. Weber JL, Tinsley AM, Houtkooper LB, Lohman TG. Multimethod training increases portion-size estimation accuracy. J Am Diet Assoc 1997;97:176-9. https://doi.org/10.1016/S0002-8223(97)00046-1
  25. Weber JL, Lytle L, Gittelsohn J, Cunningham-Sabo L, Heller K, Anliker JA, Stevens J, Hurley J, Ring K. Validity of self-reported dietary intake at school meals by American Indian children: the pathways study. J Am Diet Assoc 2004;104:746-52. https://doi.org/10.1016/j.jada.2004.02.029
  26. Ptomey LT, Willis EA, Honas JJ, Mayo MS, Washburn RA, Herrmann SD, Sullivan DK, Donnelly JE. Validity of energy intake estimated by digital photography plus recall in overweight and obese young adults. J Acad Nutr Diet 2015;115:1392-9. https://doi.org/10.1016/j.jand.2015.05.006
  27. Yon BA, Johnson RK, Harvey-Berino J, Gold BC. The use of a personal digital assistant for dietary selfmonitoring does not improve the validity of self-reports of energy intake. J Am Diet Assoc 2006;106:1256-9. https://doi.org/10.1016/j.jada.2006.05.004
  28. Kerr DA, Wright JL, Dhaliwal SS, Boushey CJ. Does an adolescent's accuracy of recall improve with a second 24-h dietary recall? Nutrients 2015;7:3557-68. https://doi.org/10.3390/nu7053557