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Relative validities of 3-day food records and the food frequency questionnaire

  • Yang, Yoon-Jung (Department of Preventive Medicine, College of Medicine, Hanyang University) ;
  • Kim, Mi-Kyung (Department of Preventive Medicine, College of Medicine, Hanyang University) ;
  • Hwang, Se-Hee (Department of Preventive Medicine, College of Medicine, Hanyang University) ;
  • Ahn, Youn-Jhin (Center for Genomic Science, National Institute of Health, Center for Disease Control and Prevention) ;
  • Shim, Jae-Eun (Department of Kinesiology and Community Health, University of Illinois) ;
  • Kim, Dong-Hyun (Department of Social and Preventive Medicine, Hallym University College of Medicine)
  • Received : 2010.01.29
  • Accepted : 2010.04.13
  • Published : 2010.04.28

Abstract

The food frequency questionnaire (FFQ) has been used as an important dietary assessment tool in epidemiologic studies, but the usefulness of the FFQ has been debated in recent years. This study was performed to evaluate the relative validities of 3-day food records and the semi-quantitative FFQ. A total of 124 subjects finished 3-day food records (FRs) during each of the four seasons, as well as the FFQ from December 2002 to May 2004. The FFQ was a food based semi-quantitative FFQ including 103 items. Three-day FRs from each season and a randomly selected season were compared with the remaining 9-day FRs. The remaining 9-day FRs, as a reference measurement, were also compared with the FFQ. Pearson's correlation coefficients between the 3-day FRs and the 9-day FRs were between 0.14 and 0.56. Pearson's correlation coefficients between the FFQ and the 9-day FRs ranged between 0.07 and 0.41. Average proportions of classification into the same quartiles, adjacent quartiles, and distant quartiles between the 3-day FRs and the 9-day FRs were 35.8%, 40.5%, and 5.2%, respectively. On average, the proportions of classification into the same quartiles, adjacent quartiles, and distant quartiles between the FFQ and the 9-day FRs were 31.1%, 39.4%, and 6.9%, respectively. Three-day FRs showed higher correlations and higher agreement proportions of quartile classification with the 9-day FRs than did the FFQ, but both relative validities of 3-day FRs and the FFQ appear to be acceptable as dietary assessment tools. Further studies for validating food intake by reliable biomarkers are necessary.

Keywords

References

  1. Hu FB, Stampfer MJ, Manson JE, Rimm E, Colditz GA, Rosner BA, Hennekens CH, Willett WC. Dietary fat intake and the risk of coronary heart disease in women. N Engl J Med 1997;337: 1491-9. https://doi.org/10.1056/NEJM199711203372102
  2. Hu FB, Manson JE, Stampfer MJ, Colditz G, Liu S, Solomon CG, Willett WC. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med 2001;345:790-7. https://doi.org/10.1056/NEJMoa010492
  3. Troisi R, Willett WC, Weiss ST. Trans-fatty acid intake in relation to serum lipid concentrations in adult men. Am J Clin Nutr 1992;56:1019-24.
  4. Kristal AR, Peters U, Potter JD. Is it time to abandon the food frequency questionnaire? Cancer Epidemiol Biomarkers Prev 2005;14:2826-8. https://doi.org/10.1158/1055-9965.EPI-12-ED1
  5. Kristal AR, Potter JD. Not the time to abandon the food frequency questionnaire: counterpoint. Cancer Epidemiol Biomarkers Prev 2006;15:1759-60. https://doi.org/10.1158/1055-9965.EPI-06-0727
  6. Day NE, McKeown N, Wong MY, Welch A, Bingham S. Epidemiological assessment of diet: a comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium. Int J Epidemiol 2001;30: 309-17. https://doi.org/10.1093/ije/30.2.309
  7. Bingham SA, Gill C, Welch A, Cassidy A, Runswick SA, Oakes S, Lubin R, Thurnham DI, Key TJ, Roe L, Khaw KT, Day NE. Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers. Int J Epidemiol 1997;26:137-51. https://doi.org/10.1093/ije/26.1.137
  8. 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;362:212-4. https://doi.org/10.1016/S0140-6736(03)13913-X
  9. Freedman LS, Potischman N, Kipnis V, Midthune D, Schatzkin A, Thompson FE, Troiano RP, Prentice R, Patterson R, Carroll R, Subar AF. A comparison of two dietary instruments for evaluating the fat-breast cancer relationship. Int J Epidemiol 2006;35:1011-21. https://doi.org/10.1093/ije/dyl085
  10. Ahn Y, Kwon E, Shim JE, Park MK, Joo Y, Kimm K, Park C, Kim DH. Validation and reproducibility of food frequency questionnaire for Korean genome epidemiologic study. Eur J Clin Nutr 2007;61:1435-41. https://doi.org/10.1038/sj.ejcn.1602657
  11. Ahn Y, Lee JE, Paik HY, Lee HK, Jo I, Kimm K. Development of a semi-quantitative food frequency questionnaire based on dietary data from the Korea National Health and Nutrition Examination Survey. Nutr Sci 2003;6:172-84.
  12. Korean Nutrition Society. Food Composition Table. In: Recommended dietary allowances for Koreans. Seoul; 2000.
  13. Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 1997;65:1220-8.
  14. Yun SH, Choi BY, Kim MK. The effect of seasoning on the distribution of nutrient intakes by a food frequency questionnaire in a rural area. The Korean Journal of Nutrition 2009;42:246-55. https://doi.org/10.4163/kjn.2009.42.3.246
  15. Shim JE, Ryu JY, Paik HY. Contribution of seasonings to nutrient intake assessed by food frequency questionnaire in adults in rural area of Korea. The Korean Journal of Nutrition 1997;30:1211-8.
  16. Willett WC, Sampson L, Stampfer MJ, Rosner B, Bain C, Witschi J, Hennekens CH, Speizer FE. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 1985;122:51-65.
  17. Johansson I, Hallmans G, Wikman A, Biessy C, Riboli E, Kaaks R. Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort. Public Health Nutr 2002;5:487-96.
  18. Paik HY, Ryu JY, Choi JS, Ahn YJ, Moon HK, Park YS, Lee HK, Kim YI. Development and validation of food frequency questionnaire for dietary assessment of Korean adults in rural area. The Korean Journal of Nutrition 1995;28:914-22.
  19. Choi MS, Han KY, Park KS. Comparison of dietary intakes by 24-h dietary recall, dietary record and food frequency questionnaire among elderly people. The Korean Journal of Nutrition 2001;34: 688-700.
  20. Shim JS, Oh KW, Suh I, Kim MY, Sohn CY, Lee EJ, Nam CM. A study on validity of a semi-quantitative food frequency questionnaire for Korean adults. Korean Journal of Community Nutrition 2002;7:484-94.
  21. Monsen ER. Research: Successful approaches. 2nd ed. Chicago, IL: American Dietetic Association; 2003.
  22. Lee GS, Paik HY, Yi MS, Joung HJ. Response experiences with a semi-quantitative food frequency questionnaire: A qualitative study using cognitive interview. The Korean Jourmal of Nutrition 2007;40:566-75.
  23. Subar AF, Thompson FE, Smith AF, Jobe JB, Ziegler RG, Potischman N, Schatzkin A, Hartman A, Swanson C, Kruse L. Improving food frequency questionnaires: a qualitative approach using cognitive interviewing. J Am Diet Assoc 1995;95:781-8. https://doi.org/10.1016/S0002-8223(95)00217-0
  24. Matt GE, Rock CL, Johnson-Kozlow M. Using recall cues to improve measurement of dietary intakes with a food frequency questionnaire in an ethnically diverse population: an exploratory study. J Am Diet Assoc 2006;106:1209-17. https://doi.org/10.1016/j.jada.2006.05.009
  25. Kwon ES, Ahn Y, Shim JE, Paik HY, Park C, Kimm K, Ju YS, Kim DH. Within- and between-individual variation in nutrient intakes with day of the week and season in Korean adults. The Korean Journal of Nutrition 2004;37:917-27.

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