Nutrition Research and Practice

  • 제16권5호
  • /
  • Pages.646-657
  • /
  • 2022
  • /
  • 1976-1457(pISSN)
  • /
  • 2005-6168(eISSN)
한국영양학회 (The Korean Nutrition Society)
권호 표지
DOI QR코드

DOI QR Code

Comparison of total energy intakes estimated by 24-hour diet recall with total energy expenditure measured by the doubly labeled water method in adults

  • Kim, Eun-Kyung (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Fenyi, Justice Otoo (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Kim, Jae-Hee (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Kim, Myung-Hee (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Yean, Seo-Eun (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Park, Kye-Wol (Department of Nutrition and Dietetics, Gangneung Asan Hospital) ;
  • Oh, Kyungwon (Division of Health and Nutrition Survey and Analysis, Korea Disease Control and Prevention Agency) ;
  • Yoon, Sungha (Division of Health and Nutrition Survey and Analysis, Korea Disease Control and Prevention Agency) ;
  • Ishikawa-Takata, Kazuko (Faculty of Applied Biosciences, Tokyo University of Agriculture) ;
  • Park, Jonghoon (Department of Physical Education, Korea University) ;
  • Kim, Jung-Hyun (Major of Food and Nutrition, Pai Chai University) ;
  • Yoon, Jin-Sook (Department of Food and Nutrition, Keimyung University)
  • 투고 : 2021.08.03
  • 심사 : 2021.12.20
  • 발행 : 2022.10.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

BACKGROUND/OBJECTIVES: The doubly labeled water (DLW) method is the gold standard for estimating total energy expenditure (TEE) and is also useful for verifying the validities of dietary evaluation tools. In this study, we compared the accuracy of total energy intakes (TEI) estimated by the 24-h diet recall method with TEE obtained using the doubly labeled water method. SUBJECTS/METHODS: This study involved 71 subjects aged 20-49 yrs. Over a 14-day period, three 24-h diet recalls per subject (2 weekdays and 1 weekend day) were used to estimate energy intakes, while TEE was measured using the DLW method. The paired t-test was used to determine the significance of differences between TEI and TEE results, and the accuracy of the 24-h recall method was determined by accuracy predictions percentage, root mean square error, and bias. RESULTS: Average study subject age was 33.4 ± 8.6 yrs. The association between TEI and TEE was positive and significant (r = 0.463, P < 0.001), and the difference between TEI (2,084.3 ± 684.2 kcal/day) and TEE (2,401.7 ± 480.3 kcal/day) was also significant (P < 0.001). In all study subjects, mean TEI was 12.0% (307.5 ± 629.3 kcal/day) less than mean TEE, and 12.2% (349.4 ± 632.5 kcal/day) less in men and 11.8% (266.7 ± 632.5 kcal/day) less in women. Rates of TEI underprediction for all study subjects, men, and women, were 60.5%, 51.4%, and 66.7%, respectively. CONCLUSIONS: This study shows that 24-h diet recall underreports energy intakes. More research is needed to corroborate our findings and evaluate the accuracy of 24-h recall with respect to additional demographics.

키워드

과제정보

This research was supported by grants from the Centers for Disease Control & Prevention (CDC) Korea (grant No. 2012E3500800 and 2013E3500300).

참고문헌

  1. Ma Y, Hebert J, Ebbeling C, Ockene I. International aspects of coronary heart disease epidemiology. In: Becker RC, Alpert JS, editors. Cardiovascular Medicine-Practice and Management. London: Arnold; 2001. p.3-20.
  2. Liu S. Whole-grain foods, dietary fiber, and type 2 diabetes: searching for a kernel of truth. Am J Clin Nutr 2003;77:527-9. https://doi.org/10.1093/ajcn/77.3.527
  3. American Institute for Cancer Research. Food, Nutrition, Physical Activity and the Prevention of Cancer: A Global Perspective. Washington D.C.: American Institute for Cancer Research; 2007.
  4. Ma Y, Olendzki BC, Pagoto SL, Hurley TG, Magner RP, Ockene IS, Schneider KL, Merriam PA, Hebert JR. Number of 24-hour diet recalls needed to estimate energy intake. Ann Epidemiol 2009;19:553-9. https://doi.org/10.1016/j.annepidem.2009.04.010
  5. Willett W. Nutritional Epidemiology (Translated Version). 3th ed. The Korean Society of Nutritional Epidemiology, translator. Seoul: Kyomunsa; 2013.
  6. Ministry of Health and Welfare of Korea, 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; 2018.
  7. Biro G, Hulshof KF, Ovesen L, Amorim Cruz JAEFCOSUM Group. Selection of methodology to assess food intake. Eur J Clin Nutr 2002;56 Suppl 2:S25-32.
  8. Lafay L, Basdevant A, Charles MA, Vray M, Balkau B, Borys JM, Eschwege E, Romon M. Determinants and nature of dietary underreporting in a free-living population: the Fleurbaix Laventie Ville Sante (FLVS) Study. Int J Obes Relat Metab Disord 1997;21:567-73. https://doi.org/10.1038/sj.ijo.0800443
  9. Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA, Prentice AM. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 1991;45:569-81.
  10. Salvador Castell G, Serra-Majem L, Ribas-Barba L. What and how much do we eat? 24-hour dietary recall method. Nutr Hosp 2015;31 Suppl 3:46-8.
  11. Livingstone MB, Prentice AM, Coward WA, Strain JJ, Black AE, Davies PS, Stewart CM, McKenna PG, Whitehead RG. Validation of estimates of energy intake by weighed dietary record and diet history in children and adolescents. Am J Clin Nutr 1992;56:29-35. https://doi.org/10.1093/ajcn/56.1.29
  12. Livingstone MB, Prentice AM, Strain JJ, Coward WA, Black AE, Barker ME, McKenna PG, Whitehead RG. Accuracy of weighed dietary records in studies of diet and health. BMJ 1990;300:708-12. https://doi.org/10.1136/bmj.300.6726.708
  13. Westerterp KR, Saris WH, van Es M, ten Hoor F. Use of the doubly labeled water technique in humans during heavy sustained exercise. J Appl Physiol (1985) 1986;61:2162-7. https://doi.org/10.1152/jappl.1986.61.6.2162
  14. Prentice AM, Black AE, Coward WA, Davies HL, Goldberg GR, Murgatroyd PR, Ashford J, Sawyer M, Whitehead RG. High levels of energy expenditure in obese women. Br Med J (Clin Res Ed) 1986;292:983-7. https://doi.org/10.1136/bmj.292.6526.983
  15. Lifson N, Gordon GB, McCLINTOCK R. Measurement of total carbon dioxide production by means of D2O18. J Appl Physiol 1955;7:704-10. https://doi.org/10.1152/jappl.1955.7.6.704
  16. Park J, Kazuko IT, Kim E, Kim J, Yoon J. Estimating free-living human energy expenditure: practical aspects of the doubly labeled water method and its applications. Nutr Res Pract 2014;8:241-8. https://doi.org/10.4162/nrp.2014.8.3.241
  17. Institute of Medicine of the National Academies (US). Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, D.C.: National Academies Press; 2002.
  18. Hill JO, Wyatt HR, Peters JC. Energy balance and obesity. Circulation 2012;126:126-32. https://doi.org/10.1161/CIRCULATIONAHA.111.087213
  19. Johnson RK, Driscoll P, Goran MI. Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water method in young children. J Am Diet Assoc 1996;96:1140-4. https://doi.org/10.1016/S0002-8223(96)00293-3
  20. Johnson RK, Soultanakis RP, Matthews DE. Literacy and body fatness are associated with underreporting of energy intake in US low-income women using the multiple-pass 24-hour recall: a doubly labeled water study. J Am Diet Assoc 1998;98:1136-40. https://doi.org/10.1016/S0002-8223(98)00263-6
  21. Bhutani S, Racine N, Shriver T, Schoeller DA. Special considerations for measuring energy expenditure with doubly labeled water under a typical condition. J Obes Weight Loss Ther 2015;5:002.
  22. Park KW, Go NY, Jeon JH, Ndahimana D, Ishikawa-Takata K, Park J, Kim EK. Accuracy of the 24-hour diet recall method to determine energy intake in elderly women compared with the doubly labeled water method. J Nutr Health 2020;53:476-87. https://doi.org/10.4163/jnh.2020.53.5.476
  23. 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
  24. Kim EK, Kim JH, Kim MH, Ndahimana D, Yean SE, Yoon JS, Kim JH, Park J, Ishikawa-Takata K. Validation of dietary reference intake equations for estimating energy requirements in Korean adults by using the doubly labeled water method. Nutr Res Pract 2017;11:300-6. https://doi.org/10.4162/nrp.2017.11.4.300
  25. Black AE, Prentice AM, Coward WA. Use of food quotients to predict respiratory quotients for the doublylabelled water method of measuring energy expenditure. Hum Nutr Clin Nutr 1986;40:381-91.
  26. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 1949;109:1-9. https://doi.org/10.1113/jphysiol.1949.sp004363
  27. Barnston AG. Correspondence among the correlation, RMSE, and Heidke forecast verification measures; refinement of the Heidke score. Weather Forecast 1992;7:699-709. https://doi.org/10.1175/1520-0434(1992)007<0699:CATCRA>2.0.CO;2
  28. Weijs PJ. Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y. Am J Clin Nutr 2008;88:959-70. https://doi.org/10.1093/ajcn/88.4.959
  29. Marra M, Montagnese C, Sammarco R, Amato V, Della Valle E, Franzese A, Contaldo F, Pasanisi F. Accuracy of predictive equations for estimating resting energy expenditure in obese adolescents. J Pediatr 2015;166:1390-1396.e1. https://doi.org/10.1016/j.jpeds.2015.03.013
  30. Hill RJ, Davies PS. The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr 2001;85:415-30. https://doi.org/10.1079/BJN2000281
  31. Mertz W. Food intake measurements: is there a "gold standard"? J Am Diet Assoc 1992;92:1463-5. https://doi.org/10.1016/S0002-8223(21)00927-5
  32. Gemming L, Rush E, Maddison R, Doherty A, Gant N, Utter J, Ni Mhurchu C. Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall. Br J Nutr 2015;113:284-91. https://doi.org/10.1017/S0007114514003602
  33. Subar AF, Kipnis V, Troiano RP, Midthune D, Schoeller DA, Bingham S, Sharbaugh CO, Trabulsi J, Runswick S, Ballard-Barbash R, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol 2003;158:1-13. https://doi.org/10.1093/aje/kwg092
  34. Tran KM, Johnson RK, Soultanakis RP, Matthews DE. In-person vs telephone-administered multiple-pass 24-hour recalls in women: validation with doubly labeled water. J Am Diet Assoc 2000;100:777-83. https://doi.org/10.1016/S0002-8223(00)00227-3
  35. Gemming L, Doherty A, Kelly P, Utter J, Ni Mhurchu C. Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake. Eur J Clin Nutr 2013;67:1095-9. https://doi.org/10.1038/ejcn.2013.156
  36. Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV, Paul DR, Sebastian RS, Kuczynski KJ, Ingwersen LA, et al. The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr 2008;88:324-32. https://doi.org/10.1093/ajcn/88.2.324
  37. Sawaya AL, Tucker K, Tsay R, Willett W, Saltzman E, Dallal GE, Roberts SB. Evaluation of four methods for determining energy intake in young and older women: comparison with doubly labeled water measurements of total energy expenditure. Am J Clin Nutr 1996;63:491-9. https://doi.org/10.1093/ajcn/63.4.491
  38. Riumallo JA, Schoeller D, Barrera G, Gattas V, Uauy R. Energy expenditure in underweight freeliving adults: impact of energy supplementation as determined by doubly labeled water and indirect calorimetry. Am J Clin Nutr 1989;49:239-46. https://doi.org/10.1093/ajcn/49.2.239
  39. Lee MS, Woo MK, Kim SA, Oh SI, Kwak CS. Reproducibility of nutrient intake estimated by three-day 24-hour dietary recall of middle-aged subjects for 6 month intervals. Korean J Community Nutr 2003;8:603-9.
  40. Black AE, Bingham SA, Johansson G, Coward WA. Validation of dietary intakes of protein and energy against 24 hour urinary N and DLW energy expenditure in middle-aged women, retired men and postobese subjects: comparisons with validation against presumed energy requirements. Eur J Clin Nutr 1997;51:405-13. https://doi.org/10.1038/sj.ejcn.1600425
  41. Tomoyasu NJ, Toth MJ, Poehlman ET. Misreporting of total energy intake in older men and women. J Am Geriatr Soc 1999;47:710-5. https://doi.org/10.1111/j.1532-5415.1999.tb01594.x
  42. Johnson RK, Goran MI, Poehlman ET. Correlates of over- and underreporting of energy intake in healthy older men and women. Am J Clin Nutr 1994;59:1286-90. https://doi.org/10.1093/ajcn/59.6.1286
  43. Goran MI, Poehlman ET. Total energy expenditure and energy requirements in healthy elderly persons. Metabolism 1992;41:744-53. https://doi.org/10.1016/0026-0495(92)90315-2
  44. Heywood P, Harvey PW, Marks GC. An evaluation of energy intakes in the 1983 Australian National Dietary Survey of Adults. Eur J Clin Nutr 1993;47:604-6.
  45. Briefel RR, Sempos CT, McDowell MA, Chien S, Alaimo K. Dietary methods research in the third National Health and Nutrition Examination Survey: underreporting of energy intake. Am J Clin Nutr 1997;65:1203S-1209S. https://doi.org/10.1093/ajcn/65.4.1203S
  46. Hirvonen T, Mannisto S, Roos E, Pietinen P. Increasing prevalence of underreporting does not necessarily distort dietary surveys. Eur J Clin Nutr 1997;51:297-301. https://doi.org/10.1038/sj.ejcn.1600397
  47. Macdiarmid J, Blundell J. Assessing dietary intake: who, what and why of under-reporting. Nutr Res Rev 1998;11:231-53. https://doi.org/10.1079/NRR19980017
  48. Tabacchi G, Amodio E, Di Pasquale M, Bianco A, Jemni M, Mammina C. Validation and reproducibility of dietary assessment methods in adolescents: a systematic literature review. Public Health Nutr 2014;17:2700-14. https://doi.org/10.1017/S1368980013003157
  49. Lopes TS, Luiz RR, Hoffman DJ, Ferriolli E, Pfrimer K, Moura AS, Sichieri R, Pereira RA. Misreport of energy intake assessed with food records and 24-h recalls compared with total energy expenditure estimated with DLW. Eur J Clin Nutr 2016;70:1259-64. https://doi.org/10.1038/ejcn.2016.85
  50. Lichtman SW, Pisarska K, Berman ER, Pestone M, Dowling H, Offenbacher E, Weisel H, Heshka S, Matthews DE, Heymsfield SB. Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. N Engl J Med 1992;327:1893-8. https://doi.org/10.1056/NEJM199212313272701
  51. Black AE, Goldberg GR, Jebb SA, Livingstone MB, Cole TJ, Prentice AM. Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys. Eur J Clin Nutr 1991;45:583-99.
  52. Bathalon GP, Tucker KL, Hays NP, Vinken AG, Greenberg AS, McCrory MA, Roberts SB. Psychological measures of eating behavior and the accuracy of 3 common dietary assessment methods in healthy postmenopausal women. Am J Clin Nutr 2000;71:739-45. https://doi.org/10.1093/ajcn/71.3.739
  53. Bingham SA, Cassidy A, Cole TJ, Welch A, Runswick SA, Black AE, Thurnham D, Bates C, Khaw KT, Key TJ, et al. 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
  54. Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK. Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol 1995;24:389-98. https://doi.org/10.1093/ije/24.2.389
  55. Nelson M. Editorial-Can we measure what people eat? J Hum Nutr Diet 1995;8:1-2. https://doi.org/10.1111/j.1365-277X.1995.tb00290.x