• Journal of Nutrition and Health
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• v.42 no.7
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• pp.622-630
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• 2009

The purpose of this study was to establish an association between glycemic index (GI), glycemic load (GL), dietary carbohydrates and diabetes with the context of the current population dietary practice in Korea. The subjects of 3,389 adults (male 1,430, female 1,959) were divided into normal (serum fasting glucose < 100 mg/dL), impaired glucose tolerance (100 ${\leq}$ serum fasting glucose < 126 mg/dL), diabetes (serum fasting glucose > 126 mg/dL) by serum fasting glucose. Anthropometric and hematologic factors, and nutrient intakes, dietary glycemic index (DGI), dietary glycemic load (DGL) were assessed. Multiple logistic regression model was used to determine the odds ratios (ORs) and 95% confidence intervals for relationship of DGI, DGL, carbohydrates intakes, and diabetes. DGI and DGL were not significantly correlated with impaired glucose tolerance and diabetes. However, the risk of impaired glucose tolerance and diabetes showed a tendency to increase as increase of DGI after multivariate adjustment (age, education, income, region area, diabetes family history, smoking, drinking, exercise, energy intake) in male. The risk of impaired glucose tolerance and diabetes showed a tendency to increase in the DGI 71.1-74.8 after multivariate adjustment in female. DGL was inversely related to impaired glucose tolerance and diabetes in male. In female, however, DGL was positively related to impaired glucose tolerance and diabetes. In particular, the risk of diabetes increased positively in level of DGL 260.5, and remained after multivariate adjustment (Q5 vs Q1：2.38, 0.87-6.48). When percent energy intakes from carbohydrates were more than 70%, the risk of impaired glucose tolerance and diabetes increased in both male and female. In particular, when percent energy intakes from carbohydrates were more than 69.9%, the risk of diabetes increased positively in male (Q4 vs Q1：2.34, 1.16-4.17). In conclusion, above 70% energy intakes from carbohydrates appeared to be a risk factor of diabetes. It seemed that the meal with high GI and GL value must be avoided it. And also, the macronutrients of the meal must be properly balanced. In particular, it may be said that it is a preventive way for treatment of the diabetes to avoid eating carbohydrates of much quantity.

• Journal of Technologic Dentistry
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• v.11 no.1
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• pp.35-45
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• 1989

This study was carried out from June, 20, to October 22, 1988, for the purpose of researching on the complaint ratio of Respiratory symptoms of the dental laboratory technicians in Seoul. In this study, aiming to find out complaint ratio of respiratory symptoms of the dental laboratory, SNU-81-AL were applied, at random, to 193 dental laboratory technicians at 39 dental laboratories, as the research group, and to 178 clinical laboratory technicians at 10 general hospitals, as the control group, and above two groups were compared with each other. The following results were obtained from this research. 1. The quantity of respirable dust under 5$\mu$m measured at the dental laborartories was, on an average as well, 5$mg/m^3$-minimum 1.56$mg/m^3$), and the density of CO was, on an average as well, 5.0ppm(Mx 7.0-Mn 3.0). 2. The complaint ratio of five main respiratory symptoms(cough, phlegm, wheezing, nasal catarrh & cold, breathlessness) was, on an average, 44.3% at the dental laboratory technicians, phlegm was the major symptom complained by the greatest number of the technicians. 22.4% of the clinical laboratory technicians complained above 5 main respiratory symptoms, nassal catarrh & cold was the mostly complained symptoms among them. There showed a consideraly significant difference at the complaint ratio between the above 2 occupations(P<0.005). 3. There showed no paticular significant difference between male and female, at the complaint ratio of the dental laboratory technicians. However, there showed a considerable significant difference according to their sexuality, in case of the clinical laboratory technicians. 4. Considered from th view point of age, the highest age group was 20-29 with its average 48.5%, in case of dental laboratory technicians. The highest age group among the clinical laboratory technicians was over 40 age with its 28.7%. There showed no particular significant differences between to tow occupations. 5. Considered from the view point of work period, the highest work period group was 0-3 years with average 47.8%, in case of dental laboratory The highest work period group among the clinical laboratory technicians was 16 years with its 25.2%. There showed no particuar significant differences between the two occupations. 6. Considered from the view point of smoking, phlegm was complained by much more smokers than non-smokers, in both occupations. In case of non-smokers, many complained about nassal catarrh & cold. There showed no particular significant differences between the smokers and the non-smokers.

• Journal of radiological science and technology
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• v.28 no.3
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• pp.235-239
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• 2005

The bone mineral density built in adolescence and college term is formed to the highest level between 25 years old and 35 years old and the formed bone mineral density is decreasing in the middle years and senescence. Decrease of the bone mineral density causes Osteopenia and an increase of dangerousness of a bone fracture which become social health problems. This research is to give guidance for the right living style by surveying the relation between the bone mineral density and college students' life. The result is like below. First of all, most objects of the research were insufficient of quantity of motion and the diet they have was consisted of instant food. It was far from the right living habit and exercise and the bone mineral density was also low. Second of all, male students showed more osteopenia than female students in this research and the smokers' bone mineral density was lower than nonsmokers, which proved that smoking in adolescence was related to the bone mineral density. Finally, the opportunistic eating and living style and the excessive diet and unequal caloric intake caused by the notion of preference for a slim person are considered to be the main reasons for the decrease of the bone mineral density.

• Journal of radiological science and technology
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• v.36 no.4
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• pp.263-271
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• 2013

The decrease of bone mineral density gives rise to the outbreak of osteopenia and makes the possibility of a bone fracture. It makes health problems in society. It's very important to prevent osteopenia in advance. Also it's critical to prevent and take care of it in adolescent because it's the most developing period comparing to middle ages because that bone mineral density decreases. There are genetic, physical and enviromental factors that affect bone mineral density. Recently, a lifestyle and eating habits are also changing as the society atmosphere is gradually doing. This study have shown that 134 women and 75 men was chosen and responded to the survey of measuring bone mineral density and investigating a lifestyle. The measure of bone mineral density is to use Dual energy X-ray absorptiometry(DEXA) and check femoral neck and lumbar spine. Also questionaries was required to pre-made survey about their lifestyles. Analysis of data was done with SPSS program. Multiple regression analysis was used for the relation of bone mineral density, the heigths and BMI. The sample of Groups are checked for drinking, smoking or excercising about differences by t-test. The results of the experiments were; first, there is statistically significant differences in the comparisons between BMD and BMD. But there isn't any special correlation between drinking, smoking and BMD. Secondly, bone mineral density becomes low related to an intake of caffeine. Particularly, this is statically significant on women. Also there is statically significant correlation between femoral neck and quantity of motion for both men and women. Third, there is significant relation between eating habits and bone mineral density on women's lumbar spine. However, there is no significant relation between men's lumbar spine and women's one. Therefore, to prevent osteopenia, it's good to abstain from intaking caffeine within an hour after a meal. In addition, it's helpful to walk or run regularly and have a balanced meal.

• Korean Journal of Food Science and Technology
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• v.31 no.1
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• pp.231-237
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• 1999

It is very distinctive that sigumjang meju was produced with smoking after molding. Every shapes of traditional sigumjang meju gathered from Kyeongsangbukdo were doughnut types. Fermentation time were $60{\sim}90$ days. Aerobic bacteria were $6.8{\times}10^7\;cfu/g$, and anaerobic bacteria, yeasts, molds count $3.2{\times}10^6\;cfu/g,\;1.0{\times}10^6\;cfu/g\;and\;4.0{\times}10^6\;cfu/g$, respectively. Analysis showed: moisture content, $10.5{\pm}2.6%$; fat content, $2.9{\pm}1.1%$; protein content, $8.3{\pm}0.7%$; ash content, $3.8{\pm}0.7%$; pH, $6.0{\pm}0.5$; L-value, $54.5{\pm}4.7$; a-value, $+3.3{\pm}0.7$; and b-value, $+10.7{\pm}2.0$. K content was the most in quantity among the minerals in sigumjang meju. Maltose was most abundant component among the tested sugars followed by mannitol. Total content of amino acid was $1524.9{\pm}1295.3\;mg%$. Proline was the most abundant component among the amino acids. The ratio of essential amino acid was $30.0{\pm}12.9%$. The principal fatty acids were 18:2, 18:1 and 16:0. Saturated fatty acid and mono unsaturated fatty acid were $23.2{\pm}1.9%\;and\;23.5{\pm}5.2%$, respectively. The PUFA/SFA was $2.3{\pm,}0.3$ which higher than 1.

• The Korean Journal of Community Living Science
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• v.17 no.4
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• pp.151-161
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• 2006

This study was made to find out how health practice affect on nutrition status of the college freshmen in male and female. 400 freshmen students in 4year colleges were surveyed. Questionnaire and blood analysis were made. The contents of questionnaire contained general characteristics, health practice behavior, and food intake. The physical measurement included height, weight and blood pressure. The questions for health practice were about drinking, smoking, BMI, skipping breakfast and sleeping. Nutrient intake was expressed by DDS(Dietary Diversity Score by 5 food groups) and DVS (Dietary Variety Score) and 24-hrs recall method was used to find out the quantity of daily food intake. EAR% was calculated and NAR and MAR were produced. The results are as follows: 1) BMI was $22.77kg/m^2$ for males and $20.42kg/m^2$ for females. The ratio maintaining normal weight indicated by BMI of 18.5-23 was higher(p<0.001) for female students(63.2%) than males(56.5%). The ratio of overweight with over $23kg/m^2$ of BMI was 28.5% for males and 8.8% for females(p<0.001). 2)The ratio of drinking students was 59.4% for males and 40.6% for female(p<0.001). And the ratio of smoking students was 95.2% for males and 4.8% for females(p<0.001). 3) The ratio of poor health practice group was 35.7% for males and 25.5% for females, and that of excellent one was 25.4% for males and 33.1% for females(p<0.05). 4) In NAR, the lowest ratio was observed for the intake of Ca, Fe, Vitamin C and Vitamin $B_2$. The intake of Fe, Vitamin $B_2$ and phosphorus were different significantly according to sexuality. For Fe, female students showed lower level than male students(p<0.001). For Vitamin $B_2$, and phosphorus female students showed higher level(p<0.001). 5) In MAR, there was no difference according to sexuality in almost all of the ingredients. 6) For energy intake, male and female students showed 59% and 66% of EAR and it was insufficient for them. 7) For protein, more than 100% was obtained. The lowest ratio was observed for the intake of vitamin C 50.8%, Ca 53.6% and Fe 65.1% of EAR were obtained. The lowest intake ratio and for the intake of Fe female students obtained just 37.5% of EAR showing high risk of anemia. The intake of energy(p<0.001), phosphorus(p<0.01), niacin(p<0.05), Fe(p<0.001), and Vitamin $B_2$ (p<0.001) were different significantly according to sexuality. For Fe, female students showed lower level than male students(p<0.001). For energy, phosphorus, niacin, and Vitamin $B_2$ female students showed higher level(p<0.001) than male students. 8) For blood pressure, male students showed normal level of 120.7/79.1 mmHg, however, female students showed 114.5/75.4 mmHg lower than male (p<0.001). 9). In blood, for hemoglobin female students showed significantly lower level than that of male(p<0.001). T-Cholesterol and HDL-Cholesterol female students showed higher level than males (p<0.001), And for triglyceride male students showed higher level than females(p<0.001). Ca and Fe female students showed lower level (p<0.001).