DOI QR코드

DOI QR Code

Analysis of Foods and Nutrients Intake Obtained at the Final Probing Step in 24-hour Recall Method

24시간 회상법을 사용한 한국 성인의 식이섭취조사에서 재회상 단계 추가의 영향 분석

  • Kang, He-Ra (Department of Food and Nutrition, Seoul National University) ;
  • Jung, Hyun-Ju (Department of Food and Nutrition, Seoul National University) ;
  • Paik, Hee-Young (Department of Food and Nutrition, Seoul National University)
  • 강혜라 (서울대학교 식품영양학과) ;
  • 정현주 (서울대학교 식품영양학과) ;
  • 백희영 (서울대학교 식품영양학과)
  • Published : 2009.03.31

Abstract

This study was conducted to examine the usefulness of adding final probing step (step3) in dietary assessment by 24-hour recall method among Korean adults. One-hundred fifty five adults (37 males and 118 females) above 30 years of age who visited hospitals for health examination were recruited at three hospitals in Korea. One day dietary intake was obtained using 24-hour recall method from each subject. Dietary interview was conducted in 3 steps, (1) quick list of foods eaten during the previous day, (2) detailed information of all the foods eaten, (3) the final probing for any items forgotten. Items added at the step3 were identified and contributions of energy and nutrient intakes were calculated. The average duration of interview was 10.5 min, and time spent for each step was 4.12 minute for step 1, 5.62 minute for step 2, and 38 second for step 3. The average number of dishes reported by the subjects added at the step 3 was 2.2. (Males = 2.6, Females = 1.6) Frequently reported dishes in the step 3 were Beverage, Tea, alcohol (37.1%) and Fruits (31.8%). From mean total energy intake of 1,589 kcal (Men = 1,846 kcal, Women = 1,509 kcal), 179 kcal (11.3%) was added at the step 3. In the step 3, nutrient intakes increased significantly except retinol in total subjects and except retinol and cholesterol in males but all nutrients increased significantly in females. The final probing step can add significant information on intakes of foods and many nutrients with only about 38 seconds of interview time. Confirmation of the results with larger samples of different age groups is needed.

Keywords

References

  1. Willet W. Nutritional Epidemiology. 2nd ed. New York: Oxford University Press; 1995
  2. Bingham SA, Luben R, Welch A, Wareham N, Khaw KT, Day N. Are imprecise methods obscuring a relation between fat and breast cancer?. Lancet 2003; 362:212-214 https://doi.org/10.1016/S0140-6736(03)13913-X
  3. Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP, et al. Structure of dietary measurement error: Results of the open biomarker study. Am J Epidemiol 2003; 158:14-21 https://doi.org/10.1093/aje/kwg091
  4. Schatzkin A, Kipnis V, Caroll RJ, Midthune D, Subar AF, Bingham S, et al. A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: Results from biomarker-based observing protein and energy nutrition (open) study. Int J Epidemiol 2003; 32: 1054-1062 https://doi.org/10.1093/ije/dyg264
  5. Smith C, Fila S. Comparison of the Kid’s Block Food Frequency Questionnaire to the 24-hour recall in urban Native American youth. Am J Hum Biol 2006; 18: 706-709 https://doi.org/10.1002/ajhb.20475
  6. Subar AF, Kipnis V, Troiano RP, Midthune D, Scholler DA, Bingham S, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: open study. Am J Epidemiol 2003; 158: 1-13 https://doi.org/10.1093/aje/kwg092
  7. Krall EA, Dwyer JT, Coleman KA. Factors influencing accuracy of dietary recall. Nutr Res 1998; 8: 929-941 https://doi.org/10.1016/S0271-5317(88)80162-3
  8. Jobe JB, Mingay DJ. Cognitive research improves questionnaires. Am J Public health 1989; 79 https://doi.org/10.2105/AJPH.79.8.1053
  9. Dwyer JT, krall EA Coleman KA. The problem of memory in nutritional epidemiological research. J Am Diet Assoc 1987; 87:1509-1512
  10. Rumpler Wv, Kramer M, Rhodes DG, Moshfegh AJ, Paul DR. Identifying sources of reporting error using measured food intake. Eur J Clin Nutr 2008; 62: 544-552 https://doi.org/10.1038/sj.ejcn.1602742
  11. Armstrong AM, Macdonald A, Booth IW, Platts RG, Knibb RC. Booth DA. Errors in Memory for Dietary Intake and their Reduction. Appl Cognit Psychol 2000; 14: 183-191 https://doi.org/10.1002/(SICI)1099-0720(200003/04)14:2<183::AID-ACP645>3.0.CO;2-#
  12. Brown JE, Tharp TM, Dahlberg-Luby EM, Snowdon DA, Ostwald SK, Buzzard IM, et al. Videotap dietary assessment: validity, reliability, and comparion of results with 24-hour dietary recalls from elderly women in a retirement home. J Am Diet Assoc 1990; 90: 1675-1679
  13. Karvetti R, Knuts LR. Validity of the 24-hour dietary recall. J Am Diet Assoc 1985; 85: 1437-1442
  14. Krantzler NJ, Mullen BJ, Schutz HG, Grivetti LE, Holden CA, Meiselman HL. Validity of telephoned diet recalls and records for assessment of individual food intakes. Am J Clin Nutr 1982; 36: 1234-42 https://doi.org/10.1093/ajcn/36.6.1234
  15. Raper N, Perloff B, Ingwersen L, Steinfeldt L, Anand J. An overview of USDA Dietary Intake Data system. J Food Compos Anal 2004; 17: 545-55 https://doi.org/10.1016/j.jfca.2004.02.013
  16. Moshfegh AJ. Analyzing Population Level Dietary Intake Data: What We Eat in America. KHIDI International Workshop. 2008; 26-36
  17. Conway JM, Ingwersen LA, Vinyard TB, Moshfegh AJ. Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr 2003; 77(5): 1171-1178 https://doi.org/10.1093/ajcn/77.5.1171
  18. Conway, JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: An observational validation study. J Am Diet Assoc 2004; 104(4):595-603 https://doi.org/10.1016/j.jada.2004.01.007
  19. Blanton, CA, Moshfegh AJ, Baer DJ, Kretsch MJ. The USDA Automated Multiple-Pass Method Accurately Estimates Group Total Energy and Nutrient Intake. J Nutr 2006; 136(10): 2594 https://doi.org/10.1093/jn/136.10.2594
  20. Slimani N, Ferrari P, Ocke M, Welch A, Boeing H, Liere MV, et al. Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 2005; 4: 900-917 https://doi.org/10.1038/sj.ejcn.1601107
  21. Hernack L, Stevens M, Heel NV, Schakel S, Dwyer JT, Himes John. A Computer-based approach for assessing dietary supplement use in conjunction with dietary recalls. J Food Compos Anal 2008; 21: S78-S82 https://doi.org/10.1016/j.jfca.2007.05.004
  22. Minister for health, welfare and family affairs. Direction for Collecting and Utilizing Nutritional and Dietary Data in Genetic Epidemiological Studies, 2005-2006. Seoul(Korea): Seoul National University; 2006
  23. Korea Centers for Disease Control and Prevention. Development of Open-Ended Dietary Assessment System for Korean Genetic Epidemiological Cohorts, 2007-2008. Seoul(Korea): Seoul National University; 2008
  24. Moshfegh AJ, Rhodes DG, Baer DJ, Murayu T, Clemens JC, Rumpler WV, et al. The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the colletion of energy intakes. Am J Clin Nutr 2008; 883: 24-32 https://doi.org/10.1093/ajcn/88.2.324
  25. Novotny W, Rumpler J, Judd H, Riddick D, Rhodes M, Mcdowell R, et al. Diet Interviews of Subject Pairs How Different Persons Recall Eating the Same Foods. J Am Diet Assoc 2001;101(10): 1189-1193 https://doi.org/10.1016/S0002-8223(01)00291-7
  26. Ingwersen L, Raper N, Anand J, Moshfegh A. Valiation Study shows importance of probing for forgotten foods during a dietary recall 'abstract'. J Am Diet Assoc 2004: 104(8)Suppl: A-13
  27. Baxter SD, Smith AF, Guinn CH, Thompson WO, Litaker MS, Baglio ML, et al. Interview format influences the accuracy of children’s dietary recalls validated with observations. Nutr Res 2003; 23(11): 1537-1546 https://doi.org/10.1016/S0271-5317(03)00179-9
  28. Winichagoon P. Limitations and resolutions for dietary assessment of micronutrient intakes. Asia Pac J Clin Nutr 2008; 17(SI): 296-298
  29. Gewa CA, Murphy SP, Neumann CG. Out-of-home food intake is often omitted from mother's recalls of school children's intake in rural Kenya. J Nutr 2007; 137: 2154-2159 https://doi.org/10.1093/jn/137.9.2154
  30. Wirfalt E. Cognitive aspects of dietary assessment. Scan J Nutr 1998; 42: 56-59

Cited by

  1. Intakes and Major Food Sources of Vitamins A and E of Korean Adults Living in Seoul and Gyeonggi Province vol.43, pp.6, 2010, https://doi.org/10.4163/kjn.2010.43.6.628
  2. Skipping breakfast is associated with diet quality and metabolic syndrome risk factors of adults vol.5, pp.5, 2011, https://doi.org/10.4162/nrp.2011.5.5.455
  3. Breakfast patterns are associated with metabolic syndrome in Korean adults vol.6, pp.1, 2012, https://doi.org/10.4162/nrp.2012.6.1.61
  4. Development and Evaluation of a Web-based Computer-Assisted Personal Interview System (CAPIS) for Open-ended Dietary Assessments among Koreans vol.3, pp.2, 2014, https://doi.org/10.7762/cnr.2014.3.2.115
  5. Gender analysis in the development and validation of FFQ: a systematic review vol.115, pp.04, 2016, https://doi.org/10.1017/S0007114515004717
  6. Development and User Satisfaction of a Mobile Phone Application for Image-based Dietary Assessment vol.22, pp.6, 2017, https://doi.org/10.5720/kjcn.2017.22.6.485
  7. The Effect of Carrot Juice, β-carotene Supplementation on Plasma Antioxidant Status of Korean Smokers vol.42, pp.8, 2009, https://doi.org/10.4163/kjn.2009.42.8.750
  8. Association between a High-Potassium Diet and Hearing Thresholds in the Korean Adult Population vol.9, pp.None, 2009, https://doi.org/10.1038/s41598-019-45930-5