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http://dx.doi.org/10.20878/cshr.2017.23.2.007

Validation of Food Intake Frequency from Food Frequency Questionnaire for Use as a Covariate in a Model to Estimate Usual Food Intake  

Lee, Ja Yoon (Food and Nutrition Major, Dept. of Human Ecology, Korea National Open University)
Kim, Dong Woo (Food and Nutrition Major, Dept. of Human Ecology, Korea National Open University)
Publication Information
Culinary science and hospitality research / v.23, no.2, 2017 , pp. 64-73 More about this Journal
Abstract
Although 24-hour recalls (24HR) capture detailed information on a person's food intake, this method suffers from difficulties in adequately measuring the usual intake of foods that are not consumed daily by most. Therefore, the purpose of this study is to investigate whether frequency of Food Frequency Questionnaire (FFQ) can be utilized in form of covariate when calculating usual intake of episodically-consumed foods and their distributions. Data used in this study was from the Korean National Healthy and Nutrition Examination Survey (KNHANES) 2012~2014 (3 years) and 10,945 subjects participated in this survey who performed both of 24HR and FFQ. In order to analyze the data, amount of intake in each food, which was reported in 24HR was recalculated according to 112 items in FFQ. We first assessed the relationship between FFQ frequency and the amount reported on 24HR. Second, we assessed the relationship between usual portion size of FFQ and the amount reported on 24HR. Our hypothesis was that people who reported high FFQ-reported frequency or FFQ-reported usual portion size would consume larger amounts of that food on 24HR than those with lower frequency or portion size of consumption of a food on the FFQ. For 59 of 112 individual foods (52.2%), there were statistically significant increasing relationships between FFQ frequency and consumption-day intake. Also, 102 of 112 individual foods (90.3%), there were statistically significant increasing relationships between FFQ usual portion size and consumption-day intake. For 10 of 13 food groups (grains, fruits, eggs, pulses, root and tuber crops, milk products, meat, beverage, alcoholic drink, vegetable, seaweeds and others), there were statistically significant increasing relationships between FFQ frequency and consumption-day intake. And there were statistically significant increasing relationships between FFQ usual portion size and consumption-day intake for all food groups. This study confirmed consistent correlation between reported FFQ frequency or usual portion size of food (group) consumption and consumption-day intake on 24HR. Therefore the frequency data may be utilized as important covariate when estimating usual intake of food or food groups.
Keywords
24-hour recalls; food frequency questionnaire; probability of consumption;
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1 Zhang, S., Midthune, D., Guenther, P. M., Krebs-Smith, S. M., Kipnis, V., Dodd, K. W., Buckman, D. W., Tooze, J. A., Freedman, L., & Carroll, R. J. (2011). A new multivariate measurement error model with zero-inflated dietary data, and its application to dietary assessment. Ann Appl Stat, 5(2B), 1456-87.   DOI
2 Zulkifli, S. N., & Yu, S. M. (1992). The food frequency method for dietary assessment. Journal of the American Dietetic Association, 92, 681-685.
3 Bak, H., & Kim, H. (2015). A study of association diningout, nutritional intakes and health risk factors among Korean women using the data of Korean National Health and Nutrition Examination Survey(KNHANES VI). The Korea Academic Society of Culinary, 21(5), 139-146.
4 Beaton, G. H., Milner, J., McGuire, V., & Little, J. A. (1983). Sources of variance in a 24-hour dietary recall data : Implications for nutrition study design and interpretation carbohydrate sources, vitamins and mineral. The American Journal of Clinical Nutrition, 37, 986-995.   DOI
5 Bingham, S. A., Luben, R., Welch, A., Wareham, N., Khaw, K. T., & Day, N. (2003). Are imprecise methods obscuring a relation between fat and breast cancer. Lancet, 362, 212-214.   DOI
6 Hung, H. C., Joshipura, K. J., Jiang, R., Hu, F. B., Hunter, D., Smith-Warner, S. A., Colditz, G. A., Rosner, B., Spiegelman, D., & Willett, W. C. (2004). Fruit and vegetable intake and risk of major chronic disease. Journal of the National Cancer Institute, 96(21), 1577-1584.   DOI
7 Buckman, D. W., Tooze, J. A., Freedman, L., & Carroll, R. J. (2011). A new multivariate measurement error model with zero inflated dietary data, and its application to dietary assessment. Annals of Applied Statistics, 5(2B), 1456-1487.   DOI
8 Dodd, K. W., Guenther, P. M., Freedman, L. S., Subar, A. F., Kipnis, V., Midthune, D., Tooze, J. A., & Krebs-Smith, S. M. (2006). Statistical methods for estimating usual intake of nutrients and foods: A review of the theory. Journal of the American Dietetic Association, 106(10), 1640-1650.   DOI
9 Freedman, L. S., Schatzkin, A., Midthune, D., & Kipnis, V. (2011). Dealing with dietary measurement error in nutritional cohort studies. Journal of the National Cancer Institute, 103(14), 1086-1092.   DOI
10 Haubrock, J., Nothlings, U., Volatier, J. L., Dekkers, A., Ocke, M., Harttig, U., Illner, A. K., Knüppel, S., Andersen, L. F., & Boeing, H. (2011). Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam calibration study. Journal of Nutrition, 141(5), 914-920.   DOI
11 Institute of Medicine. (2011). Dietary Reference Intakes: Applications in Dietary Assessment.
12 Kim, D. W. (2013). Estimation of usual intakes of foods and nutrients in Korean adults. (Doctoral thesis). Seoul National University.
13 Kipnis, V., Subar, A. F., Midthune, D., Freedman, L. S., Ballard-Barbash, R., & Troiano, R. P. (2003). Structure of dietary measurement error: Result of the open biomarker study. American Journal of Epidemiology, 158, 14-21.   DOI
14 Oh, S., Lee, H., & Paik, H Y. (1996). Comparison of the levels of nutrient intakes by different dietary methods and days of dietary studies among young females in Korea. The Korean Nutrition Society, 29(9), 1021-1027.
15 Knekt, P., Kumpulainen, J., Jarvinen, R., Rissanen, H., Heliovaara, M., Reunanen, A., Hakulinen, T., & Aromaa, A. (2002), Flavonoid intake and risk of chronic diseases. The American Journal of Clinical Nutrition, 76(3), 560-568.   DOI
16 Lee, S. Y., Ju, D. L., Paik, H. Y., Shin, C. S., & Lee, H. K. (1998). Assessment of dietary intake obtained by 24-hour recall method in adults living in Yeonchon area(2) : Assessment based on food group intake. The Korean Nutrition Society, 31(3), 343-353.
17 Murphy, S. P., & Poos, M. I. (2002). Dietary reference intakes: Summary of applications in dietary assessment. Public Health Nutrition, 5(6A), 843-849.   DOI
18 Palaniappan, U., Cue, R. I., Payette, H., & Gray-Donald, K. (2003). Implications of day-to-day variability on measurements of usual food and nutrient intakes. Journal of Nutrition, 133(1), 232-235.   DOI
19 Pietinen, P., Hartman, A. M., Haapa, E., Rasanen, L., Haapakoski, J., Palmgren, J., Albanes, D., Virtamo, J., & Huttunen, J. K. (1988). Reproducibility and validity of dietary assessment instruments. American Journal of Epidemiology, 128, 667-676.   DOI
20 Rha, Y. A., Kang, M. J., Lee, S. H., & Kim, J. Y. (2015). Nutrition intake according to food and exercise habits in female college students of Yang-Ju si. The Korea Academic Society of Culinary, 21(4), 284-293.
21 Subar, A. F., Dodd, K. W., Guenther, P. M., Kipnis, V., Midthune, D., McDowell, M., Tooze, J. A., Freedman & L. S., & Krebs-Smith, S. M. (2006). The food propensity questionnaire: Concept, development, and validation for use as a covariate in a model to estimate usual food intake. Journal of the American Dietetic Association, 106(10), 1556-1563.   DOI
22 Schatzkin, A., Kipnis, V., Caroll, R. J., Midthune, D., Subar, A. F., & Bingham, S. (2003). A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: Result from biomakerbased observing protein and energy nutrition(open) study. International Journal of Epidemiology, 32, 1054-1062.   DOI
23 Baek, S., Jang, S., & Lee, Y. (2016). A study on the recognition and intake frequency of Pohang's local foods. The Korea Academic Society of Culinary, 22(5), 214-230.
24 Sempos, C. T., & Johnson, N. E. (1985). Effect of intraindividual and interindividual variation in repeated dietary records. American Journal of Epidemiology, 121, 120-130.   DOI
25 Smith, C., & Fila, S. (2006). Comparison of the kid's block food frequency questionnaire to the 24-hour recall in urban native American youth. American Journal of Human Biology, 18, 706-709.   DOI
26 Souverein, O. W., Dekkers, A. L., Geelen, A., Haubrock, J., de Vries, J. H., Ocke, M. C., Harttig, U., Boeing, H., & van 't Veer, P. (2011). Comparing four methods to estimate usual intake distributions. European Journal of Clinical Nutrition, 65(Suppl 1), S92-101.   DOI
27 Tooze, J. A., Midthune, D., Dodd, K. W., Freedman, L. S., Krebs-Smith, S. M., Subar, A. F., Guenther, P. M., Carroll, R. J., & Kipnis, V. (2006). A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. Journal of the American Dietetic Association, 106(10), 1575-1587.   DOI
28 Yun, S. H., Shim, J. S., Kweon, S. H., & Oh, K. W. (2013). Development of food frequency questionnaire for Korea national health and nutrition examination survey. The Korean Journal of Nutrition, 46(2), 186-196.   DOI