Korean Journal of Community Nutrition (대한지역사회영양학회지)

The Korean Society of Community Nutrition (대한지역사회영양학회)
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A Study on Development and Validation of Food Frequency Questionnaire for Estimating Energy Intake of Women in Child-Bearing Age

가임여성의 에너지 섭취량측정을 위한 식품섭취빈도지 개발 및 평가에 관한 연구

  • Ji, Sun-Kyung (Department of Food and Nutrition, Jeonju Kijeon College) ;
  • Kim, Hyung-Sook (Department of Clinical Nutrition, National Cancer Center) ;
  • Choi, Hay-Mie (Department of Food and Nutrition, Seoul National University)
  • 지선경 (전주기전대학 식품영양과) ;
  • 김형숙 (국립암센터 부속병원 임상영양실) ;
  • 최혜미 (서울대학교 식품영양학과)
  • Published : 2008.02.29
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Abstract

This study was conducted to develop a computerized food frequency questionnaire (FFQ) for assessing nutritional status of women of child-bearing age. Computerized food frequency questionnaire (FFQ) that reflect intakes of energy, carbohydrate, fat and protein was developed for women of child-bearing age. This FFQ is composed of 61 foods or food groups containing 192 dish items. To estimate of energy intake easily, we have developed a computer program that can be viewed on a computer screen in an actual size of dish items. Nutrient intakes of the last three months by the FFQ was validated with comparing the result of a 3-day diet record through 92 college students aged from 20 to 30. The level of energy, carbohydrate and sodium of estimating by the FFQ method was significantly higher than the level of a 3-day diet records method (p < 0.01). Pearson's correlation coefficients between the two methods were 0.50 for carbohydrate (p < 0.01), 0.55 for energy (p < 0.01) and 0.56 for protein (p < 0.01). Spearman's correlation coefficients were 0.53 for carbohydrate (p < 0.01), 0.55 for energy (p < 0.01) and 0.52 for protein (p < 0.01). The percent of subject in the lowest quartile in a 3-day diet record belonged to the first and second lowest quartile in food frequency questionnaire is 78.2% in energy, 91.3% in carbohydrate, 78.2% in protein, 69.5% in fat. Also, the percent of subject in the highest quartile in a 3-day diet record belong to the first and second highest quartile in food frequency questionnaire is 78.3% in energy, 73.9% in carbohydrate, 82.6% in protein, and 73.9% in fat. On the whole, the result of this study seemed to be in good agreement with other studies. Therefore, the FFQ developed by this study is considered to be a reliable tool to assess nutrients and food intakes for women of child-bearing age.

Keywords

References

  1. Ahn YJ (1995): Relationship between Food Intake Frequency and Incidence of Diabetes and Hypertension in Adults living in Rural Area of Korea. Depatment of Food and Nutrition Graduate School Seoul National University
  2. Bingham SA, Gill C, Welch A, Day K, Cassidy A, Khaw KT, Sneyd MJ, Key TJA, Roe L, and Day NE (1994): Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24h recalls, food - frequency questionnaires and estimated-diet records. British Journal of Nutrition 72: 619-643 https://doi.org/10.1079/BJN19940064
  3. Block G (1982): A review of validations of dietary assessment methods. Am J Epidemiol 115: 492-505 https://doi.org/10.1093/oxfordjournals.aje.a113331
  4. Block G, Subar AF (1992): Eatimates of nutrient intake from a food frequency questionnaire: The 1987 national health interview survey. J Am Diet Assoc 92: 969-977
  5. Chung HR, Moon HK, Song BH, Kim MK (1992): Between- and Within-person Variability of Nutrient Intake in 7-day Weighed Food Records. Korean J Comm Nutr 25(2): 179-186
  6. Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997): Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 20(7): 1183-1197 https://doi.org/10.2337/diacare.20.7.1183
  7. Feunekes G IJ, Van staveren WA, Jeanne HM De Vries, Burema J, and Hautvast J GAJ (1993): Relative and biomarker-based validity of a food-frequency questionnaire estimating intake of fats and cholesterol. Am J Clin Nutr 58: 489-496 https://doi.org/10.1093/ajcn/58.4.489
  8. Gersovitz M, Modden JP, Smiciklas-Wright H (1978): Validity of the 24 hrs dietary recall and seven-day record for group comparisons. J Am Diet Assoc 73: 48-55
  9. Kemppainen T, Rosendahl A, Nuutinen O, Ebeling T, Pietinen P and Uusitupa M (1993): Validation of a short dietary questionnaire and qualitative fat intake for the assessment of fat intake. Eur J Clin Nutr 47: 765-775
  10. Kim HS (2000a): A Study of Development and Validation of Computerized Food Frequency Questionnaire for Koreans with High-risk of Hypercholesterolemia. Department of Food and Nutrtion. Graduate School Seoul National University
  11. Kim SH (2000b): Anthropometric Characteristics, Dietary Behaviors, Nutrient Intake and pregnant Outcome in Pregnant Women with or without Gestational Diabetes Mellutes (GDM). Department of Food and Nutrtion. Graduate School, Ewha Womans University
  12. Kim MK, Lee SS, Ahn YO (1996): Reproducibility and Validity of a Self-Administered Semiquantitative Food Frequency Questionnaire among Middle-Aged Men in Seoul. Korean J Comm Nutr 1(3): 376-394
  13. Kim MJ, Kim YO, Kim SI (1998): Validity of Self-administered Semiquantitative Food Frequency Questionnaire by Conditions of One Portion Size. Korean J Comm Nutr 3(2): 273-280　
  14. Kim SY, Yoon JS (1991): Comparison of Dietary Methods for the Determination of Energy Intake. Korean J Nutr 24(2): 132-141
  15. Kim YH, Lee SS, Kim MK, Choi BY (1997): Sources of Variability of Multiple Self-reported 24-hour Recalls on Dietary Survey. Korean J Nutr 30(3): 349-359
  16. Kim WY, Yang EJ (1998): A Study on Development and Validation of Food Frequency Questionnaire for Koreans. Korean J Nutr 31(2): 220-230
  17. Korea National Statistical Office : www.kos.com
  18. Lee HJ, Lee HS, Ha MJ, Kye SH, Kim CI, Lee CW, Yoon JS (1997): The Development and Evaluation of a Simple Semiquantitative Food Frequency Questionnaire to Assess the Dietary Intake of Adults in Large Cities. Korean J Comm Nutr 2(3): 349-365
  19. Lee SY (1997): Assessment of dietary intake and diet quality obtained by 24-hour recall method in korean adults living in rural area. Depatment of Food and Nutrition Graduate School Seoul National University
  20. Lee YJ, Lee HJ, Oh KY (1995): Fatty Acid Composition of Korean Common Food, Food and Nutritional Science Research Institute, College of Human Ecology, Yonsei University, Shin-Kwang Publishing Company, Seoul
  21. Liu K, Slattery M, David Jacobs Jr, Cutter G, Mcdonald A, Horn LV, Hilner JE, Caan B, Bragg C, Dyer A, Havlik R (1994): A Study of the Reliability and Comparative Validity of the CARDIA Dietary History. Ethnicity & Disease 4: 15-27
  22. McDonald A, Horn LV, Slattery M, Hilner J, Bragg C, Caan B, David Jacobs Jr, Liu K, Hubert H, Gernhofer N, Betz E, Havlik D (1991): The CARDIA dietary history: Development, implementation, and evaluation. J American Dietetic Assoc 91(9): 1104-1112
  23. Metzger BE, Roston SM, Cho NH, Radvany R (1993): Prepregnancy Weight and Antepartum Insulin Secretion Predict Glucose Tolerance Five Years After Gestational Diabetes Mellitus. Diabetes Care 16(12): 1598-1605 https://doi.org/10.2337/diacare.16.12.1598
  24. Oh SY, Lee HY, Paik HY (1996): Comparison of the Levels of Nutrient Intakes by Different Dietary Methods and Days of Dietary Studies Among Young Females in Korea. Korean J Nutr 29(9): 1021-1027
  25. Paik HY, Ryu JY, Choi JS, Ahn YJ, Moon HK, Park YS, Lee HK, Kim YI (1995): Development and Validation of Food Frequency Questionnaire for Dietary Assessment of Korean Adults in Rural Area. Korean J Nutr 28(9): 914-922
  26. Paik HY, Moon HK, Choi YS, Ahn YY, Lee HK, Lee SY (1997): Diet Habits and Disease of Korean, Seoul National University Press, Seoul
  27. Park BK (2001): The effects of carbohydrate-restricted diet therapy in gestational diabetes. Department of Food and Nutrtion Information Management. Graduate School of Human Environment Science, Yonsei University
  28. Pietinen P, Hartman AM, Haapa E, Rsnea L, Haapakoski J, Palmgren J, Albanes D, Virtamo J, Huttunen JK (1988a): Reproducibility and Validity of dietary assessment Instruments, IA self- Administered Food use Questionnaire with a portion size picture Booklet. Am J of Epidemiology 128(3): 655-666 https://doi.org/10.1093/oxfordjournals.aje.a115013
  29. Pietinen P, Hartman AM, Haapa E, Rsnea L, Haapakoski J, Palmgren J, Albanes D, Virtamo J, Huttunen JK (1988b): Reproducibility and Validity of dietary assessment Instruments, IIA qualitative food Frequency questionnaire. Am J of Epidemiology 128(3): 667-676 https://doi.org/10.1093/oxfordjournals.aje.a115014
  30. Rimm EB, Giovannucci EL, Stamper MJ, Colditz GA, Litin LB, Willett WC (1992): Authors' Response to 'Invited Commentary : Some Limitations of Semiquantitative Food Frequency Questionnaires'. Am J of Epidemiology 135(10): 1133-1136 https://doi.org/10.1093/oxfordjournals.aje.a116213
  31. So HK (1990): A Case-Control Study for the Dietary Habits Related to Diabetes Mellitus. Graduate School of Public Health, Kyungpook National University
  32. Song MH, Lee JM (1993): A Study on Food and Nutrients Intake and Blood Contituents of Diabetes by Obese Index. Korean J Nutr 26(8): 953-966
  33. The Ministry of Health and Welfare (2000): Report on 1998 National Health and Nutrition examination report Survey
  34. Thompson FE, Byers T (1994): Dietary assessment resource manual. Journal of Nutr 124(11s): 2245s-2317s
  35. Willett WC, Sampson L, Stampfer MJ, Rosner B, Bain C, Witschi J, Hennekens CH, Speizer FE (1985): Reproducibility and Validity of a semiquantitative food frequency questionnaire. Am J of Epidemiology 122(1): 51-65 https://doi.org/10.1093/oxfordjournals.aje.a114086
  36. Won HS, Kim WY (2000): Development and Validation of a Semi- Quantitative Food Frequency Questionnaire to Evaluate Nutritional Status of Korean Elderly. Korean J Nutr 33(3): 314-323
  37. Yang EJ (1997): A Study on Dietary Factors Related to the Incidence of Diabetes Mellitus in Korea. Department of Food and Nutrtion. Graduate School, Ewha Womans University
  38. Yang EJ, Kim WY (1999): The Influence of Dietary Factors on the Incidence of Non-Insulin-Dependent Diabetes Melltus. Korean J Nutr 32(4): 407-418
  39. Ziegler RG, Wilcox III HB, Mason TJ, Bill JS, Virgo PW (1987): Seasonal variation in intake of carotenoids and vegetables and fruits among white men in New Jersey. Am J Clin Nutr 45: 107-114 https://doi.org/10.1093/ajcn/45.1.107