This study was conducted to study the relationship between food intakes, glycemic index (GI), glycemic load (GL), and body weight with high school boys residing in Seoul. The subjects of 329 boys were divided into normal weight group (BMI < $23\;kg/m^2$, n = 212) and overweight group (BMI ${\geq}\;23\;kg/m^2$, n = 117) by body mass index (BMI). The food intakes data obtained by the 3-day food record were analyzed by Can pro 3.0 software. Anthropometric measurements and physical activities were collected from each subject. Daily dietary glycemic index (DGI) and dietary glycemic load (DGL) were calculated from the 3-day food record. Body weights and BMI of normal weight group were 58.8 kg and $19.9\;kg/m^2$ and those of overweight group were 79.2 kg and $26.8\;kg/m^2$, which were significantly different between two groups (p < 0.05). Total food and animal food intakes of normal weight group were significantly higher than overweight group (p < 0.05), and vegetable food and other food intakes of normal weight group showed higher than overweight group. All nutrient intakes of normal weight group were higher than overweight group. Dietary fiber, calcium, potassium and folate intakes of normal weight group and overweight group were under 65% of the dietary reference intakes (DRIs). Major food sources of energy intake for both groups were rice, pork and instant noodle in order. Mean adequacy ratio (MAR), an index of overall dietary quality were 0.83 in normal weight group and 0.79 in overweight group, which showed significantly higher in normal weight group than overweight group (p < 0.05). Mean daily dietary GI of normal weight group and overweight group were 67.7 and 68.2, respectively. Mean daily dietary GL of normal weight group and overweight group were 214.6 and 202.7, respectively, and which was significantly different between the two groups (p < 0.05). Major food sources contributed to DGI and DGL were rice ($\geq$ 55%) in both groups. DGI and DGL were not significantly correlated with anthropometric data. Activity adjusted to energy intake was negatively correlated with percentage of body fat (r = -0.1308, p < 0.01) and that was positively correlated with height (r = 0.1227, p < 0.05) and lean body mass (r = 0.1351, p < 0.05).
The objective of this study is to select a simple and easy measurable food behavior checklist for the development of Nutrition Quotient (NQ) for children, which reflects children's diet quality, as well as to evaluate the validity of the items in the food behavior checklist. The first 36 items in the checklist were established by an expert review, modifying the preliminary 50 items in the checklist, which had been selected by a literature review and the Korean National Health and Nutrition Examination Survey data. 341 children in 5th and 6th grades at an elementary school participated in a one-day dietary record survey, and later responded to 36 food behavior questions of the checklist. Pearson's correlation coefficients between the responses to the food behavior checklist items along with the mean nutrient intakes of the children were calculated. From the result, in which responses of food frequency and food behavior items showed certain association with the dietary record data, a second checklist with 22 items was selected. A survey was conducted by using the second checklist. 1,393 children in the 5th and 6th grades at 12 elementary schools in metropolitan cities, such as Seoul, Busan, Gwangju, Daegu, Daejeon, and Incheon, participated in the survey. Further, an exploratory factor analysis was performed. After the analysis, 19 items (10 items from food frequency and 9 items from food behavior) were finalized as the food behavior checklist items for the NQ. The final 19 food behavior checklist items were composed of 5 factors: 'Balance', 'Diversity', 'Moderation', 'Regularity', and 'Practice'. This study is a significant first trial to establish a comprehensive system for evaluating children's food habit and diet quality. This checklist might need continuous modification and revision reflecting the change of children's dietary life and the social environment.
Assessing human exposure to food-borne hazards requires standardized assessment tools. The objective of this study was to validate a newly developed dietary assessment questionnaire to assess human exposure to food-borne hazards, which include dietary behavior and food consumption patterns such as eating frequency, types of food containers and cooking methods. A total of 216 adults were recruited for two questionnaire surveys (questionnaire 1 and 2) about 1 week apart with a 3 day diet record. Reproducibility was evaluated by comparing responses from questionnaires 1 and 2, and validity was checked by comparing responses from questionnaire 2 and the 3 day diet record. Comparisons were based on the percent agreement and Spearman's rank correlation coefficient. The mean exact agreement of food containers at purchase between questionnaires 1 and 2 was 73.5%, for storing containers it was 71.9%, and for cooking methods it was 83.0%. The mean correlation coefficient for food intake frequency between questionnaires 1 and 2 was 0.71 (range, 0.50-0.83). The mean correlation coefficient of the food intake frequency between questionnaire 2 and the 3 day diet record was 0.21 (range, 0.04-0.48). The exact and adjacent agreement of food intake frequency quartile assessed by questionnaire 2 and the 3 day diet record was 65.4% (range, 51.0-82.1%). Although the correlation coefficient for food intake frequency between questionnaire 2 and the 3 day diet record was low, the exact and adjacent food intake frequency agreement was higher than 50% and reproducibility of the dietary behaviors exceeded 70%. Therefore, the questionnaire developed in this study could be applied to assess diets for the human exposure to food-borne hazards as a qualitative assessment in a large population.
University students tend to have various dietary problems including undesirable dietary behaviors, inadequate intakes of nutrients and biased habits of liquid consumption. This study was conducted to find dietary behaviors (n = 357) by questionnaire survey and to examine dietary nutrient intakes (n = 60) and liquid consumption (n = 853) by food record method for 3-days among university students attended in K University of Chungnam province in Korea. Most subjects lived in the dormitory or self-boarding house, and they skipped breakfast most frequently and took breakfast most irregularly among three meals. Dietary mean intakes of energy, Ca, vitamin B2 and folate were lower than the KDRI (37-85%), and those of males were poorer than those of females. Ratios of energy intake among three meals and snacks were not distributed evenly, so the mean energy intake from snacks was higher and that from breakfast was lower than the ideal ratio, respectively. Daily mean consumption of liquid was 1,526.4 mL/d for males and 1,151.5 mL/d for females, and these intakes were more than the KDRI (1,300 mL/d for males and 1,100 mL/d for females). However, their sources of liquid consumption were not desirable because alcohol, soda, juice of fruit or vegetable and beverage mixed with fruit juice and/or vegetable juice were major sources of liquid as well as drinking water. These findings show that university students have poor dietary behaviors including frequent skipping of breakfast, irregularity of meals, inadequate intakes of nutrients and undesirable pattersirablliquid consumption including high portion of alcohol and soda as alliquid source, and these trends were stronger for males than for females. Therefore, we should endeavor to correct their meal problems id ated to dietary behaviors, nutrient intakes and liquid consumptions through nutrition education.
This study was performed to investigate the validity of food photographs for estimating individuals' dietary intakes and compare it with other dietary assessment methods. Subjects were 7 professors, 2 researchers, 12 dietitian and 16 graduate students majoring in food and nutrition. Among the subjects, 20 subjects had research experiences in the dietary intake survey more than one year while 17 had not. Each subject estimated 50 food portions displayed in computer monitor by comparing with standard food photographs, which were weighed portions of 28 foods from typical Korean diet. No significant differences between the estimated value and the weighed value of 17 (34%) food portions were shown in research-experienced group and those of 14 (28%) food portions were shown in no-researchexperienced group. 24-hour recall was the most frequently-used method for dietary assessment followed by in the order of food frequency questionnaire, dietary record, diet history and weighing method. After estimating food portions by photographs, 30 subjects (81%) were willing to use the method for dietary assessment because of its convenience and easy communication between researcher and subject. This study suggests that digital photography method would be a useful and convenient new instrument for estimating individuals' dietary intake. However, it is necessary to create standard database for food portions and carry out systematic education for food estimation in order to apply this method in the fields.
To determine the relationships between soybean food intake, dietary isoflavone intake, and osteoporosis incidence, questionnaire surveys, bone mineral density measurements, and dietary surveys by food record were performed with 19 postmenopausal women ($57.6{\pm}7.3$ yrs of age) in Daejeon city. The subjects were divided into two groups: an 'osteoporosis group' (OG, n=10) and a 'normal group' (NG, n=9). Mean age, height, and body weight were similar between the two groups but BMI was higher in OG than in NG. Mean age at menarche was not different between the two groups. However, mean number of childbirths was greater in OG than in NG and mean total period of lactation was shorter in OG. Mean exercise time per week was similar between the two groups, and mean time of sunlight exposure tended to be shorter in OG. Mean daily intake of calcium was lower in OG whereas sodium intake was higher in OG. Mean daily intakes of total soybean food (OG: $203.8{\pm}84.6\;g/d$, NG: $285.0{\pm}146.3\;g/d$) and total dietary isoflavone (OG: $29.1{\pm}14.3\;mg/d$, NG: $38.3{\pm}23.1\;mg/d$) were not different between the two groups. However, greater intakes of soybean food and dietary isoflavone were associated with higher bone mineral density, respectively. The above results indicate that osteoporosis incidence tends to be influenced by BMI, maternal factors, dietary nutrient intakes, soybean food intakes, and dietary isoflavone intakes in postmenopausal women; although no significant differences in soybean food and dietary isoflavone intake were found between the two groups. This tendency implies that greater intakes of soybean food and dietary isoflavone lead to lower incidence of osteoporosis in postmenopausal women.
Pregnant women in South Korea are a highly risk group fur iron deficiency anemia. Previous studies indicated that the 24-hour recall method was insensitive in distinguishing iron deficiency anemic women from normal women. This method is also impractical to when used at community health centers where no public health dietitians are employed. The objective of this study was to develop a convenient tool to evaluate the usual iron (Fe) intake of pregnant women. The study participants were 115 pregnant women (age 23 to 37 years) at gestational stage of 13 to 24 weeks. Anemic subjects were classified on the basis of their serum ferritin < 12.0 ${\mu}$g/L and hemoglobin < 12.0 g/dL levels. Food frequency questionnaires with 46, 29, and 15 commonly consumed food items were used to measure the usual intake of iron of the subjects. Hemoglobin and serum ferritin were measured from fasting blood samples. Nutrients intake was assessed on three consecutive days using the 24-hour recall method and the food record method. The iron index score calculated using the food frequency method showed a significantly positive correlation with iron intake for the three days dietary intake. The iron index showed a significantly difference (p < 0.05) between the normal and anemic groups. However, there was no significant difference in the iron intake between the anemic and the normal women as measured by the 24-hour recall and food record method. Our study indicated that the 29-food items questionnaire could be used as a screening tool to identify poor dietary intake of iron. (Korean J Community Nutrition 8(2) : 160170, 2003)
Purpose: The purpose of this study was to differentiate between women with three perimenstrual symptom severity patterns : premenstrual syndrome(PMS), premenstrual magnification(PMM), and low symptom(LS), and to explore the related dietary factors to premenstrual symptoms. Method: Women were asked to keep a diary record of perimenstrual symptoms and food intake for 50 days. Result: Symptom patterns were defined for 26 among 38 women ; Eight(21.1%) demonstrated a PMS pattern, three(7.9%) demonstrated a PMM pattern, and fifteen(39.5%) exhibited a LS pattern. There were significant differences in symptom scores during the premenstrual phase($x^2=19.30$, p=.000), menstrual phase($x^2=13.32$, p=.001), and post menstrual phase($x^2=9.93$, p=.007) for three groups. Protein, vit E, vit C, niacin, folic acid, and phosphorus in the premenstrual phase, and energy, and vit B6 in the menstrual period were significantly different between the three groups. Among dietary compositions, amino acids, lipids, fatty acids, saturated fatty acids, natrium, vit B6, niacin, and vit E were negatively related to PMS symptoms. Conclusion: Pattern of perimenstrual symptoms should be differentiated for individualized PMS management. As a more efficient diet assessment for PMS women, randomized nutritional analysis during the 3 phases of the menstrual cycle should be done and a replication study is necessary with a larger sample.
In the Health Promotion Law proclaimed on January 1995, nutritional improvement at national level was emphasized and designated as one of the jobs to be carried out by local governmnets. With such a situational necessity, we conducted a dietary survey along with an anthropometric measurement, biochemical assessment and questionnaire analysis on general characteristics of the students from 3 junior higher schools in Seoul area. About 300 students had participated in the study and the data from only 139 students, 28 boys and 111 girls, with complete report of dietary intake were subjected to analysis, comparison and discussion. Fasting blood samples were drawn and analyzed for hemoglobin, hematocrit and total cholesterol. Dietary intake was monitored by 1-day 24hr recall +2-day food record. In general, the average intake of nutrients for most of the subjects were above RDA for korean of that age except for 2 nutrients namely, vitamin A and calcium, of which average intake corresponded to 46-69% of RDA. In addition to this kind of nutritional imbalance, there were several other factors of nutritional problems such as skipping breakfast, overeating at dinner and frequent eating of snacks. As the best countermeasure for these kinds of nutritional problems, more detailed campaign and prractical nutrition education for these adolescents are necessary. Only through proper education and guidance for them, the healthy and intellectual man power could be guaranteed for the forthcoming 21st century.
As various metabolic alterations develope in uremic patients. their diets need to be restricted, Furthermore medical complications with accompanying anorexia result in further complications and decrease in body strength. To assess the nutritional status of hemodialyzed patients we performed evaluation for dietary intake and protein catabolic rate(PCR) For 24 clinically stable male patients undergoing maintenance hemodialysis dietary intake was estimated by 3-day food record method and PCR was calculated with blood urea nitrogen at pre and post hemodialysis. The results were as follows : 1) Average daily energy and protein intake were 26.7$\pm$5.1kcal/kg of body weight. 0.95$\pm$0.19 g/kg of body weight respectively. 2) Protein catabolic rate calculated from interdialysis blood urea nitrogen levels was 1.00$\pm$0.20g/kg of body weight. Protein catabolic rate was correlated with the amount of Protein intake(r=0.44 p<0.05) 3) Relative body weight(RBW) of the subjects was smaller than that of healthy man without hemodialysis. Calorie and protein intake and protein catabolic rate were significantly different (p<0.05) between patients with lower RBW(<90% of ideal body weight) and those with normal RBW(90~110% of ideal body weight) and those with normal RBW(90~110% of iedal body weight) 4) The duration of hemodialysis did not have a significant effect on the nutritional status of the subjects.
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