DOI QR코드

DOI QR Code

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)
  • 투고 : 2010.01.29
  • 심사 : 2010.04.13
  • 발행 : 2010.04.28

초록

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.

키워드

참고문헌

  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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  1. The Effect of Abdominal Exercise on Abdominal Fat vol.25, pp.9, 2011, https://doi.org/10.1519/JSC.0b013e3181fb4a46
  2. University Student Sample Is Unable to Accurately Assess Their Calorie Needs: Implications for Weight Management and Menu Labeling vol.03, pp.04, 2012, https://doi.org/10.4236/fns.2012.34071
  3. Development and validation of a quantitative food frequency questionnaire to assess nutritional status in Korean adults vol.6, pp.5, 2012, https://doi.org/10.4162/nrp.2012.6.5.444
  4. Associations between Dietary Intake of Fruits and Vegetables in Relation to Urinary Estrogen DNA Adduct Ratio vol.04, pp.06, 2014, https://doi.org/10.4236/ojpm.2014.46050
  5. Running sprint interval training induces fat loss in women vol.39, pp.8, 2014, https://doi.org/10.1139/apnm-2013-0503
  6. Eating behavior traits and sleep as determinants of weight loss in overweight and obese adults vol.4, pp.10, 2014, https://doi.org/10.1038/nutd.2014.37
  7. Reproducibility and validity of an FFQ developed for the Korea National Health and Nutrition Examination Survey (KNHANES) vol.18, pp.08, 2015, https://doi.org/10.1017/S1368980014001712
  8. Glycemic modulation in neuro-oncology: experience and future directions using a modified Atkins diet for high-grade brain tumors vol.2, pp.3, 2015, https://doi.org/10.1093/nop/npv010
  9. Reproducibility and validity of a semi-quantitative FFQ for trace elements vol.116, pp.05, 2016, https://doi.org/10.1017/S0007114516002622
  10. Energy Intake and Food Habits between Weight Maintainers and Regainers, Five Years after Roux-en-Y Gastric Bypass vol.77, pp.4, 2016, https://doi.org/10.3148/cjdpr-2016-013
  11. Novel Tools in Determining the Physiological Demands and Nutritional Practices of Ontario FireRangers during Fire Deployments vol.12, pp.1, 2017, https://doi.org/10.1371/journal.pone.0169390
  12. Nutrient intake and cerebral metabolism in healthy middle-aged adults: Implications for cognitive aging vol.20, pp.8, 2017, https://doi.org/10.1080/1028415X.2016.1186341
  13. The Interaction between HIV and Intestinal Helminth Parasites Coinfection with Nutrition among Adults in KwaZulu-Natal, South Africa vol.2017, pp.2314-6141, 2017, https://doi.org/10.1155/2017/9059523
  14. Association study of estrogen receptor alpha gene polymorphisms with bone mass assessed by quantitative ultrasound in young adults vol.37, pp.8, 2017, https://doi.org/10.1007/s00296-017-3748-8
  15. RANKL/RANK/OPG Polymorphisms and Heel Quantitative Ultrasound in Young Adults vol.66, pp.2, 2017, https://doi.org/10.1097/NNR.0000000000000202
  16. Optimizing the Nutritional Support of Adult Patients in the Setting of Cirrhosis vol.9, pp.10, 2017, https://doi.org/10.3390/nu9101114
  17. Dietary Protein in Older Adults: Adequate Daily Intake but Potential for Improved Distribution vol.9, pp.3, 2017, https://doi.org/10.3390/nu9030184
  18. Assessing the Validity and Reproducibility of an Iron Dietary Intake Questionnaire Conducted in a Group of Young Polish Women vol.9, pp.3, 2017, https://doi.org/10.3390/nu9030199
  19. Validity and Reproducibility of the Iodine Dietary Intake Questionnaire Assessment Conducted for Young Polish Women vol.14, pp.7, 2017, https://doi.org/10.3390/ijerph14070700
  20. Prevention of Excessive Gestational Weight Gain by Nutrition Education Intervention: A Randomized Controlled Trial vol.7, pp.3, 2018, https://doi.org/10.5812/jhealthscope.57661
  21. Effects of Virgin Olive Oils Differing in Their Bioactive Compound Contents on Metabolic Syndrome and Endothelial Functional Risk Biomarkers in Healthy Adults: A Randomized Double-Blind Controlled Trial vol.10, pp.5, 2018, https://doi.org/10.3390/nu10050626
  22. Effects of nutrition therapy on HbA1c and cardiovascular disease risk factors in overweight and obese patients with type 2 diabetes vol.17, pp.1, 2018, https://doi.org/10.1186/s12937-018-0351-0
  23. Development and relative validity of semi-quantitative food frequency questionnaire for Korean adults vol.51, pp.1, 2018, https://doi.org/10.4163/jnh.2018.51.1.103
  24. Two Weeks of Exercise Training Intensity on Appetite Regulation in Obese Adults with Prediabetes pp.1522-1601, 2019, https://doi.org/10.1152/japplphysiol.00655.2018
  25. The relationship of breakfast and snack foods with cognitive and academic performance and physical activity levels of adolescent students pp.1744-4179, 2020, https://doi.org/10.1080/09291016.2019.1566994
  26. Obesity leads to distinct metabolomic signatures in follicular fluid of women undergoing in vitro fertilization vol.316, pp.3, 2019, https://doi.org/10.1152/ajpendo.00401.2018
  27. Body Fat Percentage, Body Mass Index, Fat Mass Index and the Ageing Bone: Their Singular and Combined Roles Linked to Physical Activity and Diet vol.11, pp.1, 2019, https://doi.org/10.3390/nu11010195
  28. Efficiency of a Free-Living Physical Activity Promotion Program Following Diet Modification for Fat Loss in Japanese Obese Men vol.58, pp.6, 2010, https://doi.org/10.3177/jnsv.58.384
  29. How can GPS technology help us better understand exposure to the food environment? A systematic review vol.2, pp.None, 2010, https://doi.org/10.1016/j.ssmph.2016.04.001
  30. Development of a Saudi Food Frequency Questionnaire and testing its reliability and validity vol.38, pp.6, 2010, https://doi.org/10.15537/smj.2017.6.20055
  31. Protocol for a 1-year prospective, longitudinal cohort study of patients undergoing Roux-en-Y gastric bypass and sleeve gastrectomy: the BARI-LIFESTYLE observational study vol.8, pp.3, 2018, https://doi.org/10.1136/bmjopen-2017-020659
  32. Does dietary intake change during an intervention to reduce sedentary behavior and cardiovascular disease risk? A randomized comparative effectiveness trial vol.4, pp.None, 2018, https://doi.org/10.1186/s40795-018-0223-1
  33. 간이 지방산 섭취빈도 조사지의 개발 및 타당도 검증 vol.28, pp.3, 2018, https://doi.org/10.17495/easdl.2018.6.28.3.239
  34. Impact of Above-Average Proanabolic Nutrients Is Overridden by High Protein and Energy Intake in the Muscle-Tendon Unit Characteristics of Middle- to Older-Aged Adults vol.148, pp.11, 2010, https://doi.org/10.1093/jn/nxy185
  35. Iron intake is positively associated with viral load in antiretroviral naïve Brazilian men living with HIV vol.114, pp.None, 2010, https://doi.org/10.1590/0074-02760190350
  36. An Assessment of the Validity of an Audio-Video Method of Food Journaling for Dietary Quantity and Quality vol.2019, pp.None, 2010, https://doi.org/10.1155/2019/9839320
  37. Effects of Virgin Olive Oils Differing in Their Bioactive Compound Contents on Biomarkers of Oxidative Stress and Inflammation in Healthy Adults: A Randomized Double-Blind Controlled Trial vol.11, pp.3, 2010, https://doi.org/10.3390/nu11030561
  38. Low intakes of dietary fiber and magnesium are associated with insulin resistance and hyperandrogenism in polycystic ovary syndrome: A cohort study vol.7, pp.4, 2010, https://doi.org/10.1002/fsn3.977
  39. Hypometabolism as a potential risk factor for overweight and obesity in liver recipients vol.61, pp.None, 2010, https://doi.org/10.1016/j.nut.2018.10.019
  40. Prolonged Collagen Peptide Supplementation and Resistance Exercise Training Affects Body Composition in Recreationally Active Men vol.11, pp.5, 2010, https://doi.org/10.3390/nu11051154
  41. Carbohydrate-Rich Diet Is Associated with Increased Risk of Incident Chronic Kidney Disease in Non-Diabetic Subjects vol.8, pp.6, 2010, https://doi.org/10.3390/jcm8060793
  42. Risk Factors for Unhealthy Weight Gain and Obesity among Children with Autism Spectrum Disorder vol.20, pp.13, 2019, https://doi.org/10.3390/ijms20133285
  43. Validation of a Self-reported Food Frequency for Overweight and Obese Children, Using Parental 3-Day Food Records : The 4yourfamily Study vol.54, pp.4, 2010, https://doi.org/10.1097/nt.0000000000000352
  44. The Concentration of Omega-3 Fatty Acids in Human Milk Is Related to Their Habitual but Not Current Intake vol.11, pp.7, 2010, https://doi.org/10.3390/nu11071585
  45. Prevalence of Low Energy Availability in Competitively Trained Male Endurance Athletes vol.55, pp.10, 2010, https://doi.org/10.3390/medicina55100665
  46. The Analysis of Food Intake in Patients with Cirrhosis Waiting for Liver Transplantation: A Neglected Step in the Nutritional Assessment vol.11, pp.10, 2010, https://doi.org/10.3390/nu11102462
  47. A pilot study to examine the association between human gut microbiota and the host's central obesity vol.3, pp.6, 2010, https://doi.org/10.1002/jgh3.12184
  48. Discriminating Metabolic Health Status in a Cohort of Nursing Students: Protocol for a Cross-Sectional Study vol.9, pp.8, 2020, https://doi.org/10.2196/21342
  49. Physical fitness in community‐dwelling older adults is linked to dietary intake, gut microbiota, and metabolomic signatures vol.19, pp.3, 2010, https://doi.org/10.1111/acel.13105
  50. Alleviation of dry mouth by saliva substitutes improved swallowing ability and clinical nutritional status of post-radiotherapy head and neck cancer patients: a randomized controlled trial vol.28, pp.6, 2010, https://doi.org/10.1007/s00520-019-05132-1
  51. Physical inactivity and excessive sucrose consumption are associated with higher serum lipids in subjects with Taq1B CETP polymorphism vol.33, pp.3, 2010, https://doi.org/10.1111/jhn.12747
  52. The effect of the artificial sweeteners on glucose metabolism in healthy adults: a randomized, double-blinded, crossover clinical trial vol.45, pp.6, 2010, https://doi.org/10.1139/apnm-2019-0359
  53. Outcomes for Feeding Tube-Dependent Children With Oral Aversion in an Intensive Interdisciplinary Treatment Program vol.63, pp.8, 2010, https://doi.org/10.1044/2020_jslhr-19-00038
  54. Associations between Psycho-Hedonic Responses to Sweet and Savoury Tastes with Diet and Body Composition in a Sample of Asian Females vol.9, pp.9, 2010, https://doi.org/10.3390/foods9091318
  55. Exploring the Validity of the 14-Item Mediterranean Diet Adherence Screener (MEDAS): A Cross-National Study in Seven European Countries around the Mediterranean Region vol.12, pp.10, 2010, https://doi.org/10.3390/nu12102960
  56. Associations between age-related changes in bone microstructure and strength and dietary acid load in a cohort of community-dwelling, healthy men and postmenopausal women vol.112, pp.4, 2010, https://doi.org/10.1093/ajcn/nqaa191
  57. Evaluation of the effect of curcumin and zinc co-supplementation on glycemic measurements, lipid profiles, and inflammatory and antioxidant biomarkers in overweight or obese prediabetic patients: a st vol.21, pp.1, 2010, https://doi.org/10.1186/s13063-020-04923-w
  58. The Mediterranean Athlete’s Nutrition: Are Protein Supplements Necessary? vol.12, pp.12, 2010, https://doi.org/10.3390/nu12123681
  59. Anthropometric and Biochemical Parameters in Relation to Dietary Habits as Early Indicator of Cardiovascular Impairment in Young Adult Cohort vol.17, pp.24, 2010, https://doi.org/10.3390/ijerph17249208
  60. A pilot feasibility study investigating the impact of increasing sucrose intakes on body composition and blood pressure vol.10, pp.None, 2010, https://doi.org/10.1017/jns.2021.55
  61. Dietary Glutamic Acid, Obesity, and Depressive Symptoms in Patients With Schizophrenia vol.11, pp.None, 2021, https://doi.org/10.3389/fpsyt.2020.620097
  62. 다문화가정 결혼이주여성 대상 식사조사를 위한 반정량 식품섭취빈도 조사지의 개발 및 평가 vol.54, pp.1, 2021, https://doi.org/10.4163/jnh.2021.54.1.76
  63. How high frequency food diaries can transform understanding of food security vol.16, pp.4, 2021, https://doi.org/10.1088/1748-9326/abe674
  64. Detection of gluten in duplicate portions to determine gluten intake of coeliac disease patients on a gluten-free diet vol.125, pp.9, 2010, https://doi.org/10.1017/s0007114520002974
  65. Effects of alpha lipoic acid on iron overload, lipid profile and oxidative stress indices in β‐thalassemia major patients: A cross‐over randomised controlled clinical trial vol.75, pp.6, 2010, https://doi.org/10.1111/ijcp.14062
  66. A daily dose of fish oil increased the omega‐3 index in older adults and reduced their heart rate during a walking activity: A pilot study vol.46, pp.2, 2021, https://doi.org/10.1111/nbu.12497
  67. Increasing dietary calcium intake of children and their parents: a randomised controlled trial vol.24, pp.10, 2010, https://doi.org/10.1017/s1368980021001087
  68. Evaluation of Dietary Assessment Tools Used in Bariatric Population vol.13, pp.7, 2010, https://doi.org/10.3390/nu13072250
  69. Validation of semiquantitative FFQ administered to adults: a systematic review vol.24, pp.11, 2010, https://doi.org/10.1017/s1368980020001834
  70. Identifying dietary patterns in Irish schoolchildren and their association with nutritional knowledge and markers of health before and after intervention vol.126, pp.3, 2010, https://doi.org/10.1017/s0007114520004043
  71. Food Experiences and Dietary Patterns of International Students at a Canadian University vol.82, pp.3, 2010, https://doi.org/10.3148/cjdpr-2021-006
  72. Dietary intake and growth in children with Prader–Willi syndrome vol.34, pp.5, 2010, https://doi.org/10.1111/jhn.12882
  73. Preference, Expected Burden, and Willingness to Use Digital and Traditional Methods to Assess Food and Alcohol Intake vol.13, pp.10, 2010, https://doi.org/10.3390/nu13103340
  74. Physical Activity and Stool Metabolite Relationships Among Adults at High Risk for Colorectal Cancer vol.18, pp.11, 2010, https://doi.org/10.1123/jpah.2020-0876
  75. Physical Activity and Stool Metabolite Relationships Among Adults at High Risk for Colorectal Cancer vol.18, pp.11, 2010, https://doi.org/10.1123/jpah.2020-0876
  76. Correlation of skin carotenoid content with 3-day dietary intake in community dwelling older adults vol.105, pp.None, 2010, https://doi.org/10.1016/j.jfca.2021.104243