• 대한지역사회영양학회지
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• 제2권3호
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• pp.349-365
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• 1997

Using data obtained from 1, 473 adults aged 18-68 yrs, residing in large cities and by use of a semi-quantitative food frequency questionnaire, we assessed the relative importance of various foods as indicators of both the amount and the variability of selected nutrient intake to develop a simple food frequency questionnaire. Since Cronba- ch's alpha value of the questionnaire including 78 food items was 0.76, the reliability of this questionnaire was acceptable. A large fraction of the variability of nutrient intake in this population could be explained by the small number of food items. The estimation of dietary nutrient intake such as total calories or protein content, which are derived from almost all foods, will require more food items with nutrients such as calcium or vitamin A, which are concentrated in a few food items. A dietary history ascertaining the intake of as few as 5-19 food items mighted be all needed in order to determent the associa- tion between disease outcome and the intake of a single nutrient. There was certainly a high level of agreement with nutrient intake by the sbujects who were cross-classified by quartiles of nutrient indices based on all the food items(78) and by quartiles of nutrient indices based on food items selected by stepwise multiple regression for selected nutrients. The data provided further evidence that useful information on dietary intake over an extended period can be obtained by a simple and relatively inexpensive food frequency questionnaire.

• Journal of Nutrition and Health
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• 제33권4호
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• pp.429-437
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• 2000

Contributions of specific foods to absolute intake and between-person variance in 13 nutrients were examined to develop a short food frequency questionnaire (FFQ) for the Korean elderly using dietary data collected by a semiquantitative FFQ with 96 food items. The contributions of specific foods to 90% absolute nutrient intake were measured by assessing their percentage to the total consumption of a nutrient by our samples(n=98). To assess the contribution of the foods to the between-person variance in intake of each specific nutrient, stepwise multiple regression was performed. Cumulative R2 served as the measure of contribution to variation in intake. The most important food source of absolute intake was rice for energy and protein. Important foods of between person variance contribution include bread for energy and pork for protein. Important foods of absolute and variance contribution of nutrient intake were similar for fat(noodles including jajangmyun and kalguksu), calcium(anchovy and milk) and vitamin A (carrot). The number of foods necessary to account for the variation in nutrient intake among older people in Korea differ considerably by nutrient: 18 - 43 and 8-26 foods were accounted for the respective 90 and 80% of absolute intake depending on nutrients. Carbohydrates and vitamin A and C had relatively a few major sources, thus may be assessed well by a small number of foods. Conversely, iron, potassium and B vitamins appear to need longer lists of foods. Fewer numbeer (6 - 12 and 4 - 9) of foods were required for the corresponding percentages of between-person variation for all nutrients. Depending on nutrients, 0.980-0.995 and 0.924-0.987 were respective correlation coefficients of nutrient intakes measured by 96 food items with those by lists of foods for 90% and 80% of absolute intake contribution. These findings suggest that an incomplete food list on the basis of its contribution to absolute and between person variation intakes may still be effective in discriminating among individuals. The results of this study may be useful in the design and use of dietary questionnaire.

• 대한지역사회영양학회지
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• 제7권4호
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• pp.495-505
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• 2002

A study was performed to develop as a screening tool the Simple Evaluation Questionnaire for Screening the Over-weight-type Dietary Pattern in 30 to 49 Year Old Adults. We used the data from the 30 to 49 year old subjects who participated in the three surveys - the health behavior survey, the dietary habit survey and the food intake survey - as the National Health and Nutrition Survey 1998. The 3,598 adults were classified into to two body fatness groups of normal (including underweight) and overweight (including obese) on the basis of their relative body weight (RBW) When comparing variables between the two groups, significant differences were found in gender, education, job, employment status, perceived health status, sadness / depression state, stress level, age, number of diseases, age when overweightedness started, maximum body weight, sleep length, drinking pattern (yes/no) , amount of alcoholic drinks, frequency of intoxication or drunkeness, amount of alcoholic drinks when drunk, intensity of exercise, frequency of exercise, exercise duration, skipped meals, small meals and drug supplements. In terms of food intake, there were significant differences in the daily food intake in terms of breakfast, dinner, daily kimchi and dairy products. In terms of mealtimes, we found differences in the amount of cooked rice at breakfast, kimchi at lunch, soup / kuk at dinner, fresh vegetables for snacks, fried foods for snacks between breakfast and lunch, and fruits /juices for snacks between lunch and dinner. After developing questions with indicators and analyzing the indicators by logistic regression analysis three times, we chose 10 questions for a simple evaluation of dietary patterns for the overweight-type category in order to give one point each. Among them we selected two questions to add one additional point and one question to add two additional points. The average scores of the overweight and normal groups, as shown by the developed questionnaire, were $5.97 \pm 2.36 \pm 7.36 \pm 2.21$, respectively. A score of seven points was selected as the cut-off point. We examined the sensitivity, specificity and positive predictive value of the questionnaire to the results of 67%, 59% and 62%, respectively.

• Journal of Nutrition and Health
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• 제33권2호
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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.

• 대한영양사협회학술지
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• 제22권4호
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• pp.310-319
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• 2016

Limitation of a questionnaire survey which is widely used is time and money, limited numbers of participants, biased confidence interval and unreliable results. To overcome these, we performed tendency and network analysis of diet using big Data in Koreans. The keyword on diet were collected from the portal site Naver from January 1, 2015 until December 31, 2015 and collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis and seasonality analysis. The results showed that diet menu appeared most frequently by N-gram analysis, even though exercise had the highest frequency by simple frequency analysis. In addition, keyword network analysis were categorized into four groups: diet group, exercise group, commercial diet program company group and commercial diet food group. The analysis of seasonality showed that subjects' interests in diet had increased steadily since February, 2015, although subjects were most interested indiet in July, these results suggest that the best strategies for weight loss are based on diet menu and starting diet before July. As people are especially sensitive to diet trends, researches are needed about annual analysis of big data.

• 대한지역사회영양학회지
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• 제7권5호
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• pp.675-685
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• 2002

A study was performed to develop as a screening tool, the Simple Evaluation Questionnaire for screening Overweight Dietary Patterns in people in their 20's. We used the data from the 20 to 29 year old subjects who participated in the three surveys: the health behavior survey, the dietary habit survey and the food intake survey - as part of the National Health and Nutrition Survey of 1998. The 1,493 adults were classified into two body fatness groups, that of normal (including the underweight) , and the overweight (including the obese) on the basis of their relative body weight (RBW). When comparing general variables between the two groups, significant differences (11 variables) were found in gender, sadness/depression state, stress level, age, number of diseases, age when overweightedness started, maximum body weight, sleep length, presently a smoker, everyday smoking habits, number of alcoholic drinks in the past month, and the number of alcoholic drinks when dunk, as well as snacking frequency and fatty food consumption. There were significant differences between the two groups in the three variables of daily soup/kuk, pan fried fish/meat/poultry and cooked fish paste/ham/dried squid in terms of cooked food intake, and 11 variables of food size, cooked rice, stews, vegetables and kimchi at breakfast, panfried foods and beverage/teas at lunch, cooked rice and stews (liquid) at dinner, cooked fish paste/ham/dried squid at snacks and cooked fishpaste/ham/dried squid at snack between lunch and dinner. In terms of raw food intake, we observed significant differences (8 variables) in daily food intake and grains, grains/vegetables/fishes (shellfish) at breakfast, meat at lunch and milt at snack after dinner. After developing questions with indicators and analyzing the indicators by logistic regression analysis using 34 variables, including these 33, plus eating-out frequency, we chose 10 questions for the simple evaluation of dietary patterns for the overweight category, in order to give each one point each. Among them we assigned an additional point to one question and two points to another question. The average scores of the overweight and normal groups, as shown by the questionnaire developed, were 5.97 $\pm$ 2.36 and 7.36 $\pm$ 2.21, respectively. A score of seven points was selected as the cut-off point. We examined the sensitivity, specificity and positive predictive value of the questionnaire to the results of 49.3%,75.4% and 68.8%, respectively. The total score categorized as an overweight dietary pattern was 30.2%.

• Nutrition Research and Practice
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• 제1권4호
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• pp.313-320
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• 2007

This study sought to compare intake levels of major dish items and food groups between normal and obese Korean children in order to understand obesity-related eating behaviors. The study was also conducted to apply the information on the differences in major dish items and food groups found in this study to development of a brief food frequency questionnaire (FFQ) for children's obesity-related eating behaviors. Finally, the developed FFQ was evaluated for reliability. A total of 290, 24-hour dietary recall data from 9-11 year-old normal or obese participants in the 2001 Korean National Health and Nutrition Examination Survey (KNHANES) were reviewed to identity dish items and food groups showing outstanding differences between the normal and obese groups. Based on the level of intake amount between the two groups, a total of 7 items, including ddeokbokggi, spaghetti, ham roast, pork cutlet, dairy products & ices, kimchi, and fruits, were selected to be included in the FFQ. The former 5 items were seen to be consumed more in the obese group, while the latter 2 items were so in the normal group. The questionnaire was formatted into a frequency response section of a seven-category option and reference period of the last 7 days. Test-retest reliability of the developed FFQ was examined by administering it to 153, 9-11 year-old children at a public elementary school in Seoul twice at a month interval. The level of reliability was found to be reasonably high. In conclusion, this study suggests that high consumption of several high-calorie dish items and low consumption of kimchi and fruits may be important eating behaviors in relation to obesity risk among 9-11 year-old children who need nutrition educators' attention. The current study also implies that a simple FFQ can be utilized to reliably assess 9-11 year-old children's diets.

• Journal of Nutrition and Health
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• 제35권2호
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• pp.250-262
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• 2002

This study was conducted to develop a simple flood frequency questionnaire (FFQ) based on the results of contributions of specific floods to absolute intake and between-person variance in nutrients using semi-quantitative FFQ with 93 flood items. The subjects were 554 healthy adults for development of a simple FFQ, and 37 students for a validation test of a developed simple FFQ. The contribution of specific floods to 80% absolute nutrient intake was measured by assessing their percentage in total consumption of a nutrient. To assess the contributions of floods to the between-person variance in the intake of each specific nutrient, stepwise multiple regressions were performed. The number of floods necessary to account for the respective 80% of absolute intake was 11-36, depending on the nutrient, while flower floods (5-16 floods) were required for the corresponding percentage of between-person variation for all nutrients. Important floods for between-person variance include Tangsuyuk (pork) and snacks for energy and fat, fish for protein and polyunsaturated fatty acids (PUFA) and snacks for carbohydrates. Spearman correlation coefficients between 93-itemed FFQ and 63-itemed FFQ ranged from 0.91 for vitamin A to 0.99 for fat in the population data used in developing a simple FFQ. Also, the correlation coefficients between the two FFQs were 0.82-7.92 in the population for the validation test. This study suggests that useful information on dietary intake could be obtained using a simple semi-quantitative FFQ in a large-scale dietary survey in Korea.

• Nutrition Research and Practice
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• 제1권3호
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• pp.206-211
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• 2007

This study estimated the isoflavone intake level in Koreans using Food Frequency Questionnaire and analyzed related variables. The results showed that the average daily intake of isoflavone in adults was shown as 23.1 mg. The isoflavone intake level at 50 percentile was 16.9 mg ($0{\sim}90\;mg$), and 10% of adults took almost 50 mg of isoflavone a day and 10% took about 5 mg a day. The major food sources for isoflavone in Koreans were in the order of soybean, soybean paste, soy milk, soybean curd (tofu), and bean sprouts; the intake was different depending on age, educational background, occupation, economic standard, and family type. The result showed higher isoflavone intake levels in the group over 30 years old and the highest isoflavone intake in subjects working in farming/fishery, followed by housemakers. According to the differences by families the families with elderly members showed 50% higher isoflavone intake than young families with friends or siblings. Depending on related ecological variables, therefore, various nutrition education programs should be developed for a variety of intakes of soybean foods, along with easy and simple cooking methods as parts of continuous research.

• 한국지역사회생활과학회지
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• 제19권2호
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• pp.201-212
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• 2008

This study was carried out to investigate the relative influence of food intake and menopause on the body composition and bone quality index of women in Wonju who were voluntary participants in a community nutrition program. The status of food intake was examined using a semi-quantitative food frequency questionnaire. A bioelectrical impedance analysis tool (Inbody 2.0) and SONOST 2000 were used for estimating body composition including criteria such as TWB (Total body water), SLM (Soft lean mass), LBM (Lean body mass), PBF (% body fat) and WHR (Waist hip ratio), and BQI (Bone quality index). 82% of the subjects were over the age of 40. The percentage of overweight subjects was 64.3% overall, and higher in the advanced age group while underweight was prevalent in younger subjects. Although only 8.6% of the total subjects skipped breakfast, this habit was more prevalent in subjects in their twenties and the underweight group. Variables, such as age, menstruation status, and breakfast eating habits were significant factors considered in relation to food intake from 7 food groups. Generally, older aged women ate more vegetables while the younger group consumed more simple sugars and lipids. The subjects who were underweight or skipped breakfast tended to drink higher amounts of soft drinks. With increasing age, BMI, PBF and WHR increased also, and TWB, SLM, LBM, and BQI decreased. According to correlation analysis, WHR has a positive correlation with PBF. BQI correlated with SLM and LBM positively, and with PBF and WHR negatively. Over 93.3% of the subjects over the age of 30 were assessed as having abdominal obesity. It was revealed that body composition was affected not only by age, obesity degree and menstruation status but by various food intake habits. Body composition including WHR and BQI had put many of the subjects' health in danger of metabolic disorders. Therefore, it is important to emphasize keeping in place some helpful habits such as eating regularly, having a proper diet which includes many vegetables, and continued milk intake even after menopause to insure women's good health.