Differences in food and nutrient intake among Korean adults based on different stress levels were investigated using information obtained from 7,370 adults who participated in the 1998 Korean National Health and Nutrition Survey. The twenty-four hour recall method was used for this dietary survey. Data pertaining to indivisual stress levels were collected by means of interviews as part of the National Health Behavior Survey. Following the analysis of variance, Duncan's Multiple Range Test was used to test the differences in food and nutrient intake among groups with different levels of stress. Eighty-three percent of the study subjects were reported to have a certain level of stress. Unlike the observations made in European and American studies, there were no significant differences observed in food and nutrient intake based on the stress levels among Korean adults of either sexes. These results may imply that even though stress was clustered with other health related behavior, the association between food intake and stress among Koreans was very weak. (Korean J Community Nutrition 8(3) : 340∼348, 2003)
To delineate the relationship between the nutrient intake from diet and the serum biochemical markers of bone metabolism, 56 postmenopausal women of 50 to 77 years of age were recruited. The biochemical markers including osteocalcin, calcium, phosphorus, estradiol and free testosterone were measured in fasting blood. Bone mineral density(BMD) was measured also by dual energy X-ray absorptiometry, and the nutrient intake of earth individual subject was estimated by 24-hour recall of 3 days. The age of the subjects was 64.8 $\pm$ 7.7 years, and the BMDs of the subject were 0.86 $\pm$ 0.26g/$cm^2$(Lumbar spine), 0.60 $\pm$ 0.10g/$cm^2$ (Femoral neck), 0.49 $\pm$ 0.10g/$cm^2$(Trochanter), and 0.41 $\pm$ 0.14g/$cm^2$(Ward's triangle). There were no significant differences among age and nutrient intake level groups due to the small sample size. The biochemical markers showed certain degree of relationship with nutrient intake levels. The results were compared among 3 groups with different nutrient intake level classified by the percentage of Recommended Daily Allowances(RDA) for Koreans as follows low < 75% RDA, 75% RDA $\leq$ adequate < 125% RDA, high $\geq$ 125% RDA. The low energy and low riboflavin groups showed significantly higher serum osteocalcin levels than those of the high intake groups(p < 0.05). On the other hand, there was a trend for serum Ca level to be higher with high nutrient intake. In this case, protein and thiamin were the only nutrients that reached a statistical significance(p < 0.05). And the groups with low intake for protein and Ca showed significantly lower serum free testosterone levels than that of other intake groups(p < 0.05). This study suggests an important role of nutrient intake levels on blood biochemical markers of bone metabolism.
To evaluate the role of obesity and nutrient intake on serum IGF-1 and serotonin levels in 80 elementary school children (aged 10. 8 yr, 47 boys, 33 girls), we investigated the anthropometric data and the nutrient intake by questionnaries including food daily record, and measured serum IGF-1 and serotonin using RIA and HPLC F-1050 respectively. We obtained the following results by obesity index (underweight-, normal-, obese group). The protein intake of normal group was higher than the others (p < 0.05). The underweight and obese groups had snacks more often than the normal group. The obese group preferred‘cookies’and‘fries’more than the other groups. The serum serotonin levels showed weak correlation with fat (r = 0.315, p < 0.01), fiber (${\gamma}$ = 0.280, p < 0.05) and energy intake (r = 0.242, p < 0.05), but no differences in anthropometric data by obesity index. The serum IGF-1 level was significantly correlated height (r = 0.649, p < 0.001), weight (r = 0.437, p < 0.001) and hip (r = 0.417, p < 0.001), but showed weak correlation with energy intake (r = 0.232, p < 0.05) and carbohydrate intake (r = 0.244, p < 0.05). In this study, we could see only partly correlation among the serum IGF-1 and serotonin and obesity and nutrient intake. Forker research is required into consideration of the essential role of these hormones during a growth period.
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.
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.
The anthropometric measurements, nutrient intake, concentrations of minerals in scalp hair and urine and urinary 5-hydroxyindoleacetic acid(5-HIAA) of 30 autistic children not taking psychoactive drugs and 30 nonautistic control children were determined. The autistic children were taking significantly lower amounts of vitamin A, niacin, ascorbic acid and iron. The intake of vitamin A, niacin, and iron in autistic children were found to be 22$\%$, 75$\%$ and 58 of RDA, respectively. The decreased anthropometric measurements in height and weight of autistic children seems partly due to lower intake of these micronutrients. The food intake in vitamin and mineral group of autistic children was significantly lower. It is probably related to decreased intake of fruit in autistic children. There was no toxicity of cadmium and aluminum in both groups according to their contents in scalp hair. Autistic children showed elevated levels of hair calcium and zinc but lowered levels of copper and iron. The urinary excretion urinary excretion of 5-HIAA.
This study was conducted to investigate the influence of different nutrient databases in estimating nutrient intake. A nutrient survey with Food Frequency Questionnaire containing 65 food items was conducted with 2,426 subjects over 30 years of age living in Yeonchon-gun, Kyungki province. The nutrient intakes were first estimated by using one (A) nutrient database which was based on the Korean Food Composition Table, 4th edition. With the other (B) nutrient database which was based on the Korean RDA(Recommended Dietary Allowances) 6th edition, it was reestimated and two resu1ts were compared. For most nutrients except carbohydrate, calcium, vitamin C and $eta$-carotene, mean nutrient intake level estimated from database B was significantly higher than that from database A(p<0.05). Mean intake level of most nutrients from two databases were significantly correlated by Pearson's correlation coefficients(p<0.001). Results from the ranking of nutrient intake levels of the subjects by two databases were highly correlated ( P >0.9, p<0.001). Weighted kappa values representing measures of agreement ranged from 0.55 databases ranged from 45% for vitamin C to 96% for carbohydrate. This result implies that different nutrient database may produce substantial differences in estimating the absolute nutrient intake but may not be crucial in ranking or classifying individuals with regard to specific nutrient intake.
This study was conducted to investigate the effects of smoking on nutrient intake and blood mineral status. The subjects were composed of two groups.55 smokers and 52 non-smokers. A 24-hour recall method was used along with questionnaires and serum mineral levels were analyzed by ICP spectrometer. The average ages of the smokers and non-smokers were 55.5 and 59.3 years old, respectively. The height, obesity degree, BMI, and WHR of the smokers were significantly higher than those of the non-smokers (p < 0.05, p < 0.05, p < 0.05, p < 0.01) Approximately 45.5% of the smokers smoked 16-20 cigarettes per day. The average age that the smokers started smoking was 22.0 years old and their smoking history was 33.5 years. About 74.5% of the smokers drank alcoholic beverages, while 44.2% of the non-smokers did. The smokers tended to eat less meals and breakfast meal, but drink coffee more often compared to the non-smokers. The mean daily energy intake and CPF energy intake ratio were 1231.8 ㎉ and 69.8 : 14.8 : 14.7 in the smokers and 1210.2 ㎉ and 72.1 : 14.7 12.7 in the non-smokers, respectively. The results show that the smokers tended to consume more energy, lipid, and cholesterol compared to the non-smokers. The results also show that in both groups, nutrient intake was lower than the RDA. The two groups were not significantly different in terms of the intake frequency of green-yellow vegetables and fresh fruits. There were no significant differences in serum levels of Ca, P, Mg, Cu, Fe, Mn, and Zn. However, serum Se level of the smokers was significantly higher than that of the non-smokers. In conclusion, the subjects of this study showed a serious imbalance in the nutrient intake, and the smokers showed a more undesirable dietary intake in the light of their high intake of energy, lipid, cholesterol, alcoholic beverages, and coffee. The serum Se level of the smokers was higher than that of the non-smokers, showing that Se is involved in smoking, Therefore, it could be suggested that more systematic research be conducted with respect to Se and smoking and that increased nutrition education and guidelines for smokers are required.
This study was performed to investigate the association between hair mineral levels and nutrient intakes, age, and BMI in female adults who visited a woman's clinic located in Seoul. Dietary intakes were assessed by food frequency questionnaire and mineral levels were measured in collected hairs, and the relationship between these was examined. The average daily nutrient intakes of subjects were compared to those of the KDRIs, and the energy intake status was fair. The average intake of calcium in women of 50 years and over was 91.35% of KDRls and the potassium intake was greatly below the recommended levels in all age groups. In the average hair mineral contents in subjects, calcium and copper exceeded far more than the reference range while selenium was very low with 85.19% of subjects being lower than the reference value. In addition, the concentrations of sodium, potassium, iron, and manganese in the hair were below the reference ranges in over 15% of subjects. The concentrations of sodium, chromium, sulfur, and cadmium in the hair showed positive correlations (P < 0.05) with age, but the hair zinc level showed a negative correlation (P < 0.05) with age. The concentrations of sodium, potassium, chromium, and cadmium in the hair showed positive correlations (P < 0.05) with BMI. Some mineral levels in subjects of this study showed significant correlations with nutrient intakes, but it seems that the hair mineral content is not directly influenced by each mineral intake. As described above, some hair mineral levels in female adults deviated from the normal range, and it is considered that nutritional intervention to control the imbalance of mineral nutrition is required. Also, as some correlations were shown between hair mineral levels and age, BMI, and nutrient intakes, the possibility of utilizing hair mineral analysis for specific purposes in the future is suggested.
The purpose of this study was to estimate the relationships between dietary factors and the stress perception levels of College students. A survey was conducted in June, 2010, targeting 332 college students in Gwangju. General environmental factors, stress perception levels, dietary behaviors, and dietary action guide performance of the subjects were evaluated by questionnaire, and food intakes was determined by the 24-hour recall method. The results are summarized as follows.: The score of frequency experiencing was $45.1{\pm}16.9$ for male students, and $47.0{\pm}16.7$ for female students. The importance scores were $50.8{\pm}18.5$ for males, and $53.3{\pm}18.7$ for females. The total score for dietary action guide performance was $39.6{\pm}7.2$ for males and $40.6{\pm}6.5$ for females. Nutrient intake levels were evaluated based on dietary reference intake (DRI), revealing energy intakes to be 68.5% EER in males and 73.9% in females. The mean intakes of nutrient were 54.2% RI for calcium, 73.6% RI for riboflavin, and 51.2% RI for vitamin C but 203.6% AI for sodium, which indicates an imbalance in nutrient intake. Analysis of the correlations between stress perception levels and dietary factors, scholarship achievements, financial problems, future problems, value senses, and family relationships revealed significant correlations with general environment factors, dietary behaviors, Dietary action guide performance, and nutrient intakes (p<0.05). The higher the stress perception levels of the students, the higher the energy, coffee and alcohol intake, which predicts that appropriate stress control in college students will lead to better dietary habits. It is expected that the results above will be used as basic data for the development of proper nutrition education programs and stress control strategies.
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