• Journal of the Korean Society of Food Culture
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• v.16 no.1
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• pp.33-42
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• 2001

The purposes of this study were to assess dietary intake obtained by easy method and to compare dietary behavior of house wife and female college students in Yanbian. The subjects consisted of 276 house wives and 228 female college students. Mean daily energy intake of house wives was 1926.0kcal and that of female college students was 1949.0kcal. Calcium intake as NAR(Nutrient adequacy ratio) was lowest in house wife and female college student. Iron intake was also low in subjects and lower in female college student than in house wife. Meal frequency per day was regular in subjects. Skipping meal time in subjects was breakfast and snaking time was late evening generally. Frequency of eating out was rare in most subjects and 60.6% of subjects preferred chinese food in eating out, while house wives preferred Korean food than female college student in eating out. The vegetables were preferred than meat or fish and used by fried in sauces. Hot and sour tastes were more like than greasy taste in subjects. Nutrient intake levels and dietary behaviors of house wife were to be like as those of female college students in general. BMI(Body mass index) was lower in female collage students than house wives, similarly in Korean. According to these results, house wives and female college students in Yanbian had similar dietary patterns. Calcium intake was tend to be low and dietary pattern was regular, dietary qualifies of subjects were adequate. Nutrient intake and dietary pattern in Yanbian were to be like as in Korean, and the Korean-Chinese in Yanbian maintained traditional dietary pattern.

• Preventive Nutrition and Food Science
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• v.8 no.4
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• pp.395-400
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• 2003

This study investigated the effect of sleep duration on food and nutrient intake among adult Koreans. The effects of sleep duration on dietary patterns was studied in 7,370 Korean adults, aged 20 and older, who participated in the 1998 Korean National Health and Nutrition Survey in which the 24 hour recall method was used to estimate dietary intake. Sleep duration data from individual subject were collected by interview as a part of a behavior survey. Analysis of variance and Duncan's multiple range test were used to test the differences in food and nutrition intake and sleep duration. Food intakes of the male subjects were not significantly different among three groups. However, there were significant differences observed in intakes of beverage and alcohol among female subjects among the three groups. There were no significant differences observed for nutrient intake by sleep duration for either gender. Unlike the observation from European and American studies, food and nutrient intake of Korean subjects, in general, were not greatly affected by duration of sleep. This result may suggest that dietary habits of Koreans, as affected by sleep, are quite different from those of Europeans & Americans.

• The Korean Journal of Food And Nutrition
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• v.28 no.5
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• pp.871-879
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• 2015

24-hour recall is the dietary assessment method most frequently used to evaluate dietary intake; however, accuracy is an issue when using this method, especially in large-scale studies. The purpose of this study was to assess the validity of dietary intake estimation using one serving size. Estimates of energy and nutrients taken in over a 24-hr period based on actual intake amount (24HRAI) and based on estimates of one serving size (24HRSS) were compared. Data were analyzed using a paired t-test, Pearson's correlation coefficients, and a cross-classification method. In male subjects, intake levels of energy, fat, vitamin C, vitamin $B_1$, Zn, and total food measured using 24HRAI were significantly higher than those measured using 24HRSS. In female subjects, intake of carbohydrates, fiber, fat, vitamin A, vitamin C, vitamin B complexes, various minerals, and total food measured using 24HRAI were significantly lower than those measured using 24HRSS. Energy-adjusted Pearson's correlation coefficients revealed that intake of all nutrients showed a significant positive relationship between the two measurement methods in both males and females. Cross-classification analysis revealed that 50.5~67.6% of women and 40.3~71% of men were classified in the same quartile of intake of each nutrient when comparing data from 24HRAI and 24HRSS. We conclude that using one serving size in 24-hr recall analysis was valid and therefore may be used in studies to assess food consumption in the general adult population. Also, this method can be used to classify energy and nutrient intake into quartile, which is useful in examining the association between diet and chronic diseases.

• Food Quality and Culture
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• v.2 no.2
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• pp.80-84
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• 2008

In this study, sixth grade school children in the Guri area were surveyed via questionnaire regarding their sociodemographic characteristics, snacking patterns, and intakes of different food groups and sugared snacks. Students with employed mothers had more frequent snacking events and were more dependent on store-purchased snacks compared to those having an unemployed mother. A high consumption of snack sugar was associated with a higher dietary diversity score. There was a positive relationship between snack sugar intake and the intakes of meat and dairy products and foods in the oil and nut group, respectively. A high snack sugar intake had a negative effect on fruit intake. Specific nutrient intake data will be required before conclusions can be made on whether nutrient imbalances are a concern in elementary school children having sweet snacks. Yet, the current data indicate that an increased snack sugar intake can decrease fruit intake, which could result in certain nutrient deficits. Specific dietary guidance may be necessary to address the snacking habits of elementary school children.

• Journal of Nutrition and Health
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• v.36 no.10
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• pp.1061-1070
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• 2003

The purpose of this study was to investigate differences in the diet with the amount and the qualitative assessment of nutrient intakes by the economic level. Data from the 1998 Korean Health and Nutrition Survey were used. Using the poverty line based on the 1998 Korean minimum cost of living, Subjects (n = 10400) were classified into high class (36.1％), middle class (40.7％) and low class (23.1％). Chi-square-test and Analysis of Variance following Duncan's multiple range test were used to test the difference in nutrient intake pattern among three groups ($\alpha$ = 0.05). The amount of nutrient intake and nutrient intake adequacy were statistically different by the economic level (p<0.01). The ratio of energy intake from carbohydrate is higher than the criteria of WHO recommendation in all economic levels. Especially people in the low class depended much on the carbohydrate for the energy intake. The ratio of energy from the protein and fat are lower in the middle and low class than that of the high class. The Intake level of calcium and vitamin B$_2$ were lower than those of the Recommended Dietary intake level, regardless of economic status. It also showed differences in major food sources of nutrients by the economic level Consequently, it seems that the nutrition policy and program should be prepared according to their economic status. Also, there should more detailed studies to find out the nutrient intake pattern, their determinant, and health consequences.

• Nutritional Sciences
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• v.3 no.2
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• pp.83-88
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• 2000

The association between nutrient intake and nutritional status was investigated with anthropometric measurements, body composition and blood biochemical indices in 56 healthy young men fed balanced diet for two years. Compared with Korean recommended dietary allowances (Korean RDA), all nutrient intakes were adequate. Height and body weight were significantly (p < .01 - p < .05) positively correlated to the intakes of energy, protein, sodium, potassium vitamin A and vitamin $B_1$. The lean weight was significantly (p < .001 - p < .05) correlated to the intake of energy, protein, sodium, potassium, vitamin A, vitamin B$_1$. niacin and vitamin C. The skinfold thickness of triceps and suprailiac was significantly (p < .01 - p < .05) correlated to the intake of energy, sodium, potassium, but that of thigh was not correlated. The significant correlations neither between nutrient intake and blood biochemical indices nor between nutrient intake and blood pressure were shown. These results suggest that nutritional status as anthropometric indices and body composition is associated with nutrient intake in young healthy adults on balanced diet, however, the nutritional status as blood biochemical indices of active people is neither endangered nor improved in comparison with less active ones.

• Korean Journal of Community Nutrition
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• v.25 no.5
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• pp.396-405
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• 2020

Objectives: This study was conducted to compare the nutrient intake of normal healthy adults with those having hypercholesterolemia. Methods: We analyzed data from the 6th Korea National Health and Nutrition Examination Survey (KNHANES VI). A total of 12,636 adults (5,223 males and 7,413 females) aged 19 or older were included in the study. Results: Males with hypercholesterolemia were older and had a higher waist circumference, body mass index, fasting blood sugar levels (FBS) and serum triglyceride (TG) concentrations compared to the normal group. Females with hypercholesterolemia were older and had higher FBS levels and serum TG concentrations compared to the normal group. While comparing nutrient intake by the 24-hour recall method, the male normal group showed a higher intake of fat, saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), vitamin A and thiamin compared to the hypercholesterolemic group. However, the male normal group had a lower intake of iron and vitamin C compared to the hypercholesterolemic group. The female normal group had a higher intake of energy, protein, fat, SFA, MUFA, polyunsaturated fatty acids, cholesterol, riboflavin, and niacin compared to the hypercholesterolemic group, but had a lower intake of iron compared to the hypercholesterolemic group. A comparison of nutrient intake by food frequency questionnaire (FFQ) showed the following: There was no significant difference in nutrient intake between the normal men and women and those with hypercholesterolemia. After adjustment for confounding factors, nutrient intake by FFQ of the male normal group showed higher levels of n-3 fatty acid and vitamin C compared to the group with hypercholesterolemia. However, there was no significant difference in nutrient intake between the two groups of women. Conclusions: The average intake of n-3 fatty acids and vitamin C of the male group with hypercholesterolemia was lower than that of the normal group. However, since KNHANES is a cross-sectional study, prospective cohort studies are required to analyze the risk factors of hypercholesterolemia.

• Nutrition Research and Practice
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• v.11 no.6
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• pp.500-506
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• 2017

BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: The food consumption data of the Korea National Health and Nutrition Examination Surveys 2013-2014 were used. We modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases.

• Journal of Nutrition and Health
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• v.43 no.5
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• pp.500-512
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• 2010

The relationship between food and nutrient intake, glycemic index (GI), glycemic load (GL), and body weight was investigated with high school girls residing in Seoul. As subjects, 159 girls were divided into a normal weight (NW) group (18.5 kg/$m^2$ $\leq$ BMI < 23 kg/$m^2$, n = 110) and an overweight (OW) group (BMI $\geq$ 23kg/$m^2$, n = 49) by body mass index (BMI). The food and nutrient intake data obtained by the 3-day food record were analyzed by Can pro 3.0 software. Anthropometric measurements were collected from each subject. Daily dietary GI (DGI) and dietary GL (DGL) were calculated from the 3-day food record. Body weights and BMI of NW were 52.4 kg and 20.4 kg/$m^2$ and those of OW were 65.2 kg and 25.4 kg/$m^2$, respectively. Total food, animal food, and other food intakes of NW were higher than those of OW, and vegetable food intakes of NW were lower than those of OW. Sugars intake of NW was significantly higher than OW. Nutrient intakes were not different between the two groups. Dietary fiber, calcium, and folate intakes of NW and OW were under 65% of the dietary reference intakes (DRIs). Major food sources of energy intake for both groups were rice, pizza, ice cream, pork, instant noodle, and chicken. Mean adequacy ratio (MAR), an index of overall dietary quality, was higher in NW (0.82) than in OW (0.80). Mean daily DGI of NW and OW was 66.5 and 66.4, respectively. Mean daily DGL of NW and OW was higher in NW (162.0) than in OW (155.9). DGI and DGL adjusted to energy intake were not significantly correlated with anthropometric data.

• Journal of the Korean Society of Food Culture
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• v.23 no.6
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• pp.793-800
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• 2008

This study was conducted to evaluate the food habits and nutrient intake of preschool children by investigating their food and snack consumption. To accomplish this, a food habit questionnaire and dietary intake survey was administered to 148 children between 2 and 6 years of age (average 4.8 years). According to the Kaup index, the underweight, normal, overweight and obesity levels of the subjects were 4.7, 60.1, 26.4, and 8.8%, respectively. In addition, the total energy intake met the EAR ($1433.94{\pm}369.70kcal$), whereas the protein, iron, phosphorus, vitamin B and vitamin C levels exceeded the EAR and the RI. Furthermore, the nutrient intake profile revealed that the mean caloric value of breakfasts consumed by preschool children in Daegu (403 kcal) was significantly (p<0.001) higher than that of preschool children in the Gyeongbuk area (271 kcal). Additionally, preschool children in Daegu ($382.96{\pm}255.79kcal$) usually consumed significantly (p<0.01) less food than those in the Gyeongbuk area ($413.82{\pm}275.43kcal$). The preferred snacks among subjects (in descending order) were milk, bread, fruit, potato or sweet potato and cookies. The mean score of the Food Habit was $3.72{\pm}0.35$ out of 5, although the score of preschool children in Daegu ($3.77{\pm}0.32$) was significantly (p<0.05) higher than that of children in the Gyeongbuk area ($3.65{\pm}0.32$). Taken together, these results indicate that there were significant differences in the Food Habit and nutrient intake level of children in Daegu and the Gyeongbuk area. Therefore, parents and caregivers should be aware of the importance of the nutritional status of preschool children and choose healthy snacks for them.