• Korean Journal of Community Nutrition
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• v.22 no.5
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• pp.426-440
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• 2017

Objectives: The valid assessment of food and nutrients intakes using appropriate dietary intake method is necessary to improve the nutritional status of the hemodialysis (HD) patients. This study was conducted to compare the method between newly developed, semi-quantitative food frequency questionnaire (Semi-FFQ) and 7-day dietary records (7-DRs) for hemodialysis patients. Methods: We conducted both methods on 53 maintenance HD patients in two university hospitals. We calibrated the frequency, portion size and daily intake of 47 food items reported in Semi-FFQ. The food and nutrients intake was compared and the correlation of the two methods was analyzed. Also each nutrient intake was compared to recommended dietary allowance for Korean (KDRIs) and recommended nutrient reference value for HD patients. Results: Energy and energy-yielding nutrients intakes were significantly higher in the two methods (p<0.01). These support the possible reliability between Semi-FFQ and 7-DRs that is similar with regard to most mineral and vitamin intakes. Thus, the Semi-FFQ used in this study for the assessment of nutrient intakes of HD patients can be reliable for the assessment of the nutrient intake along with the 7-DRs. The correlation coefficients were higher for foods consumed daily, such as steamed rice, meat and chicken, bean, egg, milk, coffee and alcohol than for those of foods eaten rarely (p<0.01). Conclusions: The Semi-FFQ used in this study can be a reliable tool for the assessment of the HD patients' nutrient intake along with the 7-DRs, despite its limitations.

• Journal of Nutrition and Health
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• v.33 no.2
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• pp.202-215
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• 2000

Intake frequency of one food is often associated with other food items, but few studies examined the relationship of food intake frequency among food items. Finding the relationship among intake frequencies of different food might be useful to understand the food intake patterns of population and correlated foods would be used as an indicators of another food intake. Relationship of food intake can be also applied to make a more simple and useful form of food frequency questionnaire to assess the association between diet and various diseases. The objective of this study was to examine the correlation of intake frequency among food items in food frequency questionnaire (FFQ). A FFQ with 84 food items was administered to 14533 Korean males who 40-65 years of age participating Korean cancer research survey. Data fromm 7647 subjects who completed FFQ were used to examine correlation among food items with three different methods-log linear regression models, Spearman correlation coefficients and cell frequency distribution. To examine the rank correlation, coefficients were calculated by Spearman correlation after scoring the frequency categories. Three most correlated foods were selected in every food intems by three methods each. In most food items, there was positive correlatin, except cooked rice and cooked brown rice, in intake frequency between foods that belonged to similar food groups. But serveral food items-Sausage (processed fish, cheese), Milk (whilte bread, orange juice), Soymilk(other juices), Cheese (pizza, butter), and Coffee(thick beef soup)-showed correlation among totally different food groups. Two sets of food items which were selected by log linear regression model and Sperman correlation coefficients were compared. There were exactly three common foods in 18 food items, 2 common foods in 47 items, 1 common food in 16 items and no common food in 3 items among 3 ranked foods. Three sets of selected food were compared. There were exactly three common foods in 5 food items, 2 common foods in 21 items, 1 common food in 34items and no common food in 24 items among 3 ranked foods. These results indicate that certain patterns exist among intake frequencies of specific food items in the FFQ. More researches are suggested to understand the relationshiops among the intakes of foods so that this information can be used in developing better FFQ or analyzing missing items from self-administered FFQ.

• Korean Journal of Community Nutrition
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• v.13 no.1
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• pp.111-124
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• 2008

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.

• Proceedings of the KSCN Conference
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• 2004.05a
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• pp.397-399
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• 2004

본 연구는 연구 1, 2, 3으로 이루어져 있으며 연구 1에서는 고혈압과 관련된 식이 위험 요인에 대한 분석을, 연구 2에서는 간단한 소금 섭취량 추정을 위한 식품섭취빈도조사지(FFQ) 개발을, 연구 3에서는 연구 1과 2를 토대로 영양교육 자료를 개발하였다. 고혈압군은 고혈압 클리닉을 방문해 처음 고혈압으로 진단받은 사람 중 식이요법이나 약물치료를 받는 사람을 제외한 112명 (남자 53명, 여자 59명)을 대상으로 하였으며, 정상군은 고혈압군과 나이 및 경제 수준을 맞춘 95명 (남자 41명, 여자 54명)을 대상으로 하였다.(중략)

• Nutrition Research and Practice
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• v.14 no.4
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• pp.374-383
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• 2020

BACKGROUNDS/OBJECTIVES: To describe the data-based development of a food frequency questionnaire (FFQ) for dietary evaluation of Korean preschool children. SUBJECTS/METHODS: Development of the FFQ was based on the data from 2,766 preschool children aged 1-5 years, who had completed 24-hour dietary recalls in the 2009-2013 Korea National Health and Nutrition Examination Survey. We selected the food list based on the results of nutritional contribution and between-person variability for energy and 13 nutrients. We selected 88 foods with over 80% of total contribution to each nutrient and with over 80% of accumulated r² for each nutrient. A dish containing any of the 88 foods in the recipe was listed, and a total of 903 dishes were extracted. Among the 903 dishes, we selected 438 dishes contributing more than 1% of total consumption. RESULTS: FFQ included 116 dish items combined from 438 dishes based on nutrient profile and recipe. Quantities of dietary intake were assessed by nine categories of frequency and portion size option. In addition, when comparing the food portions of children with the reference portion size, subjects would be asked to select one of three response categories (less, similar, and more) and then to record the amount as a percentage for the reference portion. Percentages of coverage for energy, protein, fat, and carbohydrate were 89.2%, 88.4%, 88.2%, and 89.4%, respectively. CONCLUSIONS: The dietary intake of Korean preschool children can be assessed by this new data-based FFQ. In addition, the new instrument can be used to identify nutritional needs of target groups for planning nutrition education and strategies to improve diet. Further studies are warranted to evaluate the performance of the instrument.

• Journal of Nutrition and Health
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• v.30 no.10
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• pp.1211-1218
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• 1997

This study was performed to assess the consumption of various seasonings (SNG), which are usually omitted from food frequency questionnaire(FFQ), and their contributions to nutrient intake levels. A dietary survey with FFQ , which surveyed the intake of 65 mainly uncooked food items, was conducted for 493 adults over 30 years of age from 373 households in a rural area of Korea. Household consumption of major SNG items-garlic , red pepper powder, fermented soy bean paste, oil, soy sauce , salt, etc- were estimated by a questionnaire completed by the housewives of the survey participants. The daily consumption of SNG items by each subject was determined by 3 methods ; dividing daily household consumption by \circled1 the number of household members. \circled2 the number of household members over 10 years of age and \circled3 the weighted number of houshold members calculated by the ratio of the RDA for energy. All three methods for calculating the daily personal consumption of seasoning gave similar results, which may have been partly due to the homogenity of family age distribution of the households in the study area. Therefore, the results of method \circled1 were used to determine the contribution of SNG to nutrient intake of subjects in this study. Daily intake of all nutrients were significantly increased by including SNG consumption in the measurements as compared to measuring intake by FFQ alone (p0.01). Percentages of total daily nutrient intake from SNG ranged from 2.3% in carbohydrate to 34.4% in fat. Nutrients with higher contributions from SNG were energy (8.4%), fat (34.4%), Fe(20.55) and $\beta$-carotene(17.9%). These results indicate that SNG consumption can contribute significantly to the intake of several nutrients and must be considered in surveys using FFQ.

• Journal of Nutrition and Health
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• v.51 no.1
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• pp.103-119
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• 2018

Purpose: This study was implemented to develop and validate the semi-quantitative food frequency questionnaire (SQ-FFQ) to assess energy, carbohydrates, fat, protein, minerals, and vitamins as well as fatty acids and alcohol in Korean adults. Methods: The SQ-FFQ consisted of 88 food items, and 12 food groups were selected based on information of frequently consumed foods from the Korean Health and Nutrition Examination survey. Each portion size was categorized as one of three amounts: small (0.5 times), medium (1 time), and large (1.5 times). A total of 111 subjects finished 3-day diet records and the SQ-FFQ. The relative validity of SQ-FFQ was assessed by comparison with the 3-day diet records. Results: The mean nutrient intakes obtained from the SQ-FFQ were estimated to be greater than those of the two 3-day dietary records. Spearman's correlation coefficient between the two methods was the highest for energy (r = 0.583; p < 0.001) and lowest for saturated fatty acid (r = 0.121). Correlation coefficients were energy (r = 0.583; p < 0.001), carbohydrates (r = 0.500; p < 0.001), protein (r = 0.466; p < 0.001), fat (r = 0.411; p < 0.001), dietary fiber (r = 0.467; p < 0.001), alcohol (r = 0.527; p < 0.001), calcium (r = 0.409; p < 0.001), phosphorus (r = 0.499; p < 0.001), potassium (r = 0.418; p < 0.001), magnesium (r = 0.427; p < 0.001), and zinc (r = 0.464; p < 0.001), respectively, for all subjects. Conclusion: The developed SQ-FFQ in this study seems to be useful for estimating nutritional status, particularly energy, carbohydrates, protein, fat, dietary fiber, alcohol, calcium, phosphorus, potassium, magnesium, and zinc of Korean adults.

• Journal of Preventive Medicine and Public Health
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• v.40 no.3
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• pp.239-248
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• 2007

Objectives : This study was conducted to investigate the systematic error, such as seasonal change or inadequate food items, in a food frequency questionnaire administered to workers in a Nuclear Power Plant, Korea. Methods : We performed three repeat-tests with 28 subjects on May 13, July 8 and Dec 16, 1992. Our food frequency questionnaire (FFQ) comprised 84 foods organized into 7 food-groups, and was composed of the items of usual intake frequency (8 categories) and the amount per intake (3 or 4 categories) over the previous year. We compared the means of intake frequency and the frequency of the portion-size according to each season using Repeated Measures ANOVA and Pearson's chisquare test with Fisher's exact test. Results : We found the significant seasonal changes of several food items in intake frequency measurement. These items were typical seasonal foods such as mandarin orange, plum and green vegetables, while the single questions consisted of inadequate food items such as thick beef or similar soup and various kimchi products. Significant seasonal changes in portion-size were found in only two items: cooked rice-brown and fresh frozen fishes. Conclusions : The systematic errors observed could caused loss of validity in the FFQ. Consideration should be given for seasonal variation in FFQ survey and methodological concerns are needed to improve the quality for measuring usual diet pattern.

• Korean Journal of Community Nutrition
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• v.26 no.4
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• pp.296-306
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• 2021

Objectives: The objective of this study was to estimate the distribution of the usual dietary intake of foods with respect to the probability of consumption derived from the Food Frequency Questionnaire (FFQ) of the 2009 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: The intake quantity and frequency of 63 food items were assessed from the 2009 KNHANES which was completed by 7,708 participants. The participants completed one or two 24-h dietary recalls and one FFQ. The usual intake distribution was estimated using the multiple source method (MSM), and the proportion of non-consumers was calculated through the usual intake distribution. This was then compared with the proportion of non-consumers from the 24-hour recall method. Results: The difference in the proportion of non-consumers ranged from 2% to 82.9%, indicating that there is a very large difference based on food groups. The food groups in which the proportion of non-consumers did not differ was composed of foods consumed daily, such as 'rice', 'cereal and barley', and 'Chinese cabbage and kimchi', or foods with distinct palatability such as 'coffee' and 'alcohol'. On the other hand, in the case of the food groups with a high difference in the proportion of non-consumers, most comprised fruits that emphasized seasonality. Conclusions: In the case of foods or food groups that are occasionally consumed, it is desirable to use 2 recalls with additional FFQ data by combining the consumption frequency and the quantity consumed.

• Korean Journal of Community Nutrition
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• v.9 no.2
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• pp.173-182
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• 2004

We carried out a validation-calibration study of the food frequency questionnaire (FFQ) that we had previously developed for a community-based cohort of the Korean Genome and Health Study of the Korea National Genome Research Institute. We have collected a total of 254 3-day diet records (DRs) from 400 subjects, 200 each randomly selected from the two study cohorts of Ansung and Ansan. FFQ was administered at the time of cohort recruitment in 2001, and DRs were collected during a two month period from January through February of 2002. The mean age was 52.2 years. Farming for men and housewife for women were the most common occupations. The majority of the subjects had undergone 6∼12 years of education. The general characteristics including demographic and other data were not different from the total cohort subjects. Absolute levels of consumed nutrients including total energy (energy), protein, fat, carbohydrate, calcium, phosphorus, sodium, potassium, iron, retinol, carotene, vitamin A, thiamin, riboflavin, niacin and vitamin C were compared. The average of energy intake was not significantly different between the data collected by the 2 methods. However, consumptions of protein and fat were higher in data of DRs, whereas that of carbohydrate was higher in FFQ data. Significant correlation of each nutrient consumption between the data sets was observed (p ＜ 0.05) except in the case of iron, while the average correlation coefficient between them was 0.22 ranging from 0.33 for energy to 0.11 for iron. The results of cross classification by quantile for exact classification ranged from 25.2% (carotene) to 35.0% (phosphorus), and from 64.6% (vitamin A) to 76.4% (retinol) for adjacent classification. The proportion of completely opposite classification was 8.1% in average. Calibration slope was estimated by regression and calibration parameters ranged from 0.025 for carotene to 0.423 for niacin. We conclude that the FFQ we have developed is an appropriate tool for assessing the nutrient intakes as ranking exposures in epidemiology studies in view that amounts of consumed nutrients obtained by FFQ were similar to those collected by DRs, that correlations between consumed nutrients collected by these methods were significant, and that classification results were relatively fair. The correlation coefficients, however, were lower than expected, which may be mainly due to the survey season. In fact, any short-term dietary survey cannot accurately reflect the overall dietary intakes that change heavily depending on seasons. Further studies including the analysis of chemical indices would be helpful for the studies of causal relationship between the diet and disease.