Browse > Article

A Study on Development and Validation of Food Frequency Questionnaire for Estimating Energy Intake of Women in Child-Bearing Age  

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)
Publication Information
Korean Journal of Community Nutrition / v.13, no.1, 2008 , pp. 111-124 More about this Journal
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
food frequency questionnaire; validation; energy intake; women of child-bearing age; food item; dish item;
Citations & Related Records
연도 인용수 순위
  • Reference
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   DOI   ScienceOn
3 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
4 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
5 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
6 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
7 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   DOI
8 So HK (1990): A Case-Control Study for the Dietary Habits Related to Diabetes Mellitus. Graduate School of Public Health, Kyungpook National University
9 Thompson FE, Byers T (1994): Dietary assessment resource manual. Journal of Nutr 124(11s): 2245s-2317s
10 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   DOI
11 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
12 Block G (1982): A review of validations of dietary assessment methods. Am J Epidemiol 115: 492-505   DOI
13 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
14 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
15 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   DOI
16 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   DOI
17 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
18 Kim WY, Yang EJ (1998): A Study on Development and Validation of Food Frequency Questionnaire for Koreans. Korean J Nutr 31(2): 220-230
19 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   DOI
20 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
21 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   DOI
22 Paik HY, Moon HK, Choi YS, Ahn YY, Lee HK, Lee SY (1997): Diet Habits and Disease of Korean, Seoul National University Press, Seoul
23 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
24 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
25 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   DOI   ScienceOn
26 The Ministry of Health and Welfare (2000): Report on 1998 National Health and Nutrition examination report Survey
27 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
28 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
29 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
30 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
31 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
32 Kim SY, Yoon JS (1991): Comparison of Dietary Methods for the Determination of Energy Intake. Korean J Nutr 24(2): 132-141
33 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
34 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
35 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   DOI
36 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　
37 Korea National Statistical Office : www.kos.com
38 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
39 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