DOI QR코드

DOI QR Code

Development and Validation of a Semi-Quantitative Food Frequency Questionnaire to Assess Diets of Korean Type 2 Diabetic Patients

Hong, Seong-Bin;Choi, Yun-Jin;Lee, Hun-Jae;Kim, So-Hun;Oe, Youn-Ju;Lee, Seung-Youn;Nam, Moon-Suk;Kim, Yong-Seong

  • Published : 20100000

Abstract

Background: Our aim was to assess the validity of a semi-quantitative food frequency questionnaire (FFQ) by comparison with the 3-day diet record (DR) in patients with type 2 diabetes. Methods: Eighty five type 2 diabetic patients (aged 33 to 70 years) from the Korean National Diabetes Program (KNDP) completed 3-day DR and FFQ. The FFQ was designed to reflect the eating pattern of Korean type 2 diabetic patients, and was based on the 2003 Korean National Health and Nutrition Examination Survey. The FFQ consists of 85 food items and 12 food groups. The validity of FFQ was assessed by comparison with the 3-day DR. Results: The mean age was 49 ${\pm}$ 10 years. Clinical characteristic including body weight, diabetic duration, and HbA1c were not different from the total cohort subjects (n = 1,478). There were no significant differences in the mean intake of protein, fat and calcium estimated by the FFQ and the 3-day DR. Energy and carbohydrate estimated by the FFQ were higher than those estimated by the 3-day DR. The correlation coefficient was highest for energy (r = 0.740; P < 0.00) and lowest for iron (r = 0.269; P < 0.05). The Kappa values for energy, carbohydrate, protein, fat and calcium were 0.54, 0.37, 0.36, 0.46, and 0.19, respectively. Conclusion: The FFQ is a reasonable instrument for assessing the intake of most macronutrients in Korean type 2 diabetes, although careful consideration is required for the food groups and nutrients for which the FFQ had low validity.

Keywords

References

  1. Korean centers for Disease Control and Prevention. Health behavior and chronic disease statistics. Seoul, Korea: Centers for Disease Control and Prevention; 2005
  2. Marshall JA, Hoag S, Shetterly S, Hamman RF. Dietary fat predicts conversion from impaired glucose tolerance to NIDDM. The San Luis Valley Diabetes Study. Diabetes Care 1994;17:50-6 https://doi.org/10.2337/diacare.17.1.50
  3. Fung TT, Schulze M, Manson JE, Willett WC, Hu FB. Dietary patterns, meat intake and the risk of type 2 diabetes in women. Arch Intern Med 2004;164:2235-40 https://doi.org/10.1001/archinte.164.20.2235
  4. Schulze MB, Manson JE, Willett WC, Hu FB. Processed meat intake and incidence of Type 2 diabetes in younger and middle-aged women. Diabetologia 2003;46:1465-73 https://doi.org/10.1007/s00125-003-1220-7
  5. Schulze MB, Manson JE, Ludwig DS, Colditz GA, Stampfer MJ, Willett WC, Hu FB. Sugar-sweetened beverages, weight gain and incidence of type 2 diabetes in young and middle-aged women. JAMA 2004;292:927-34 https://doi.org/10.1001/jama.292.8.927
  6. Jinlin F, Binyou W, Terry C. A new approach to the study of diet and risk of type 2 diabetes. J Postgrad Med 2007;53:139-43 https://doi.org/10.4103/0022-3859.32219
  7. Lee H, Kim M, Daly BJ. Nutritional patterns of Korean diabetic patients: an exploratory study. Int Nurs Rev 2008;55:442-6 https://doi.org/10.1111/j.1466-7657.2008.00656.x
  8. Riley MD, Blizzard L. Comparative validity of a food frequency questionnaire for adults with IDDM. Diabetes Care 1995;18:1249-54 https://doi.org/10.2337/diacare.18.9.1249
  9. 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
  10. Kim WY, Yang EJ. A study on development and validation of food frequency questionnaire for Koreans. Korean J Nutr 1998;31:220-30
  11. Nath SD, Huffman FG. Validation of a semiquantitative food frequency questionnaire to assess energy and macronutrient intakes of Cuban Americans. Int J Food Sci Nutr 2005;56:309-14 https://doi.org/10.1080/09637480500284993
  12. Dodd KW, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D, Tooze JA, Krebs-Smith SM. Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc 2006;106:1640-50 https://doi.org/10.1016/j.jada.2006.07.011
  13. Coulibaly A, Turgeon O'Brien H, Galibois I. Validation of an FFQ to assess dietary protein intake in type 2 diabetic subjects attending primary health-care services in Mali. Public Health Nutr 2009;12:644-50 https://doi.org/10.1017/S1368980008002620
  14. Steemburgo T, Dall’Alba V, Almeida JC, Zelmanovitz T, Gross JL, de Azevedo MJ. Intake of soluble fibers has a protective role for the presence of metabolic syndrome in patients with type 2 diabetes. Eur J Clin Nutr 2009;63:127-33 https://doi.org/10.1038/sj.ejcn.1602902
  15. Korea Institute of Health and Social Affairs. The third korea national health and nutrition examination survey (KNHANES III), Korea. Seoul: Ministry of Health and Welfare; 2005
  16. 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 J Community Nutr 2002;7:484-94
  17. Block G, Hartman AM, Dresser CM, Carroll MD, Gannon J, Gardner L. A data-based approach to diet questionnaire design and testing. Am J Epidemiol 1986;124:453-69 https://doi.org/10.1093/oxfordjournals.aje.a114416
  18. Jackson M, Walker S, Cade J, Forrester T, Cruickshank JK, Wilks R. Reproducibility and validity of a quantitative food-frequency questionnaire among Jamaicans of African origin. Public Health Nutr 2001;4:971-80
  19. 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 https://doi.org/10.1093/oxfordjournals.aje.a114086
  20. Jain M, Howe GR, Rohan T. Dietary assessment in epidemiology: comparison on food frequency and a diet history questionnaire with a 7-day food record. Am J Epidemiol 1996;143:953-60 https://doi.org/10.1093/oxfordjournals.aje.a008839
  21. Freedman LS, Schatzkin A, Wax Y. The impact of dietary measurement error on planning sample size required in a cohort study. Am J Epidemiol 1990;132:1185-95 https://doi.org/10.1093/oxfordjournals.aje.a115762
  22. Ahn Y, Lee JE, Cho NH, Shin C, Park C, Oh BS, Kimm K. Validation and calibration of semi-quantitative food frequency questionnaire with participants of the Korean health and geneome study. Korean J Community Nutr 2004;9:173-82
  23. Thompson FE, Kipnis V, Subar AF, Krebs-Smith SM, Kahle LL, Midthune D, Potischman N, Schatzkin A. Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables. Am J Clin Nutr 2000;71:1503-10
  24. Chan SG, Ho SC, Kreiger N, Darlington G, Adlaf EM, So KF, Chong PY. Validation of a food frequency questionnaire for assessing dietary soy isoflavone intake among midlife Chinese women in Hong Kong. J Nutr 2008;138:567-73 https://doi.org/10.1093/jn/138.3.567
  25. Hyun WJ, Lee JW. Seasonal and regional variation in nutrient intake of Korean adolescents as assessed by 3-day dietary records. Korean J Community Nutr 2001;6:592-603
  26. Fowke JH, Schlundt D, Gong Y, Jin F, Shu XO, Wen W, Liu DK, Gao YT, Zheng W. Impact of season of food frequency questionnaire administration on dietary reporting. Ann Epidemiol 2004;14:778-85 https://doi.org/10.1016/j.annepidem.2004.02.002

Cited by

  1. Relative validity of an FFQ to estimate daily food and nutrient intakes for Chilean adults vol.16, pp.10, 2013, https://doi.org/10.1017/s1368980012004107
  2. Association of Breast Arterial Calcifications, Metabolic Syndrome, and the 10-Year Coronary Heart Disease Risk: A Cross-Sectional Case-Control Study vol.22, pp.7, 2010, https://doi.org/10.1089/jwh.2012.4148
  3. Development of a quantitative food frequency questionnaire for Brazilian patients with type 2 diabetes vol.13, pp.1, 2010, https://doi.org/10.1186/1471-2458-13-740
  4. Reproducibility and validity of a quantitative FFQ designed for patients with type 2 diabetes mellitus from southern Brazil vol.17, pp.10, 2014, https://doi.org/10.1017/s1368980013002644
  5. Instant Noodle Intake and Dietary Patterns Are Associated with Distinct Cardiometabolic Risk Factors in Korea vol.144, pp.8, 2010, https://doi.org/10.3945/jn.113.188441
  6. Reproducibility and validity of an FFQ developed for the Korea National Health and Nutrition Examination Survey (KNHANES) vol.18, pp.8, 2010, https://doi.org/10.1017/s1368980014001712
  7. Identifying Dietary Patterns Associated with Mild Cognitive Impairment in Older Korean Adults Using Reduced Rank Regression vol.15, pp.1, 2010, https://doi.org/10.3390/ijerph15010100
  8. 한국인을 위한 반정량 식품섭취빈도 조사지의 개발 및 타당도 연구 vol.51, pp.1, 2010, https://doi.org/10.4163/jnh.2018.51.1.103
  9. Nutrition Status Among HIV-Positive and HIV-Negative Inpatients with Pulmonary Tuberculosis vol.33, pp.6, 2018, https://doi.org/10.1002/ncp.10006
  10. Nutritional Status Measurement Instruments for Diabetes: A Systematic Psychometric Review vol.17, pp.16, 2010, https://doi.org/10.3390/ijerph17165719