The purpose of this study was to investigate the waist to hip ratio, body fat, BMI(Body Mass Index), weight, serum lipids and to examine the correlation between waist to hip ratio, body fat, BMI(Body Mass Index), weight and serum lipids in obese college women. The subject were 52 college women with a score above 25 on the BMI, between March and May of 2000 at G Women's University. Data has been analyzed by SPSS/PC using frequency, percentage, mean, standard deviation, and Pearson Correlation Coefficient. The result of this study are as follows : 1. The mean of body weight and height of the subjects were 72.38kg, 160.23cm. 2. The mean of waist to hip ratio was 0.88, body fat was 38.88%, BMI(Body Mass Index) was 28.15, the level of total cholesterol was 174.88mg/dl, triglyceride was 104.29mg/dl, HDL-cholesterol was 50.83mg/dl, LDL-cholesterol was 104.23mg/dl. 3.Waist to hip ratio was more significantly correlated to triglyceride(r=.34, P<.05) and BMI(Body Mass Index) was more significantly correlated to triglyceride(r=.30, P<.05).

This study was done to compare the difference of obesity index(waist-hip ratio, body fat, body mass index, relative body weight), blood pressure and serum lipids in abdominal obesity and non abdominal in both men and women. Abdominal and non abdominal obesity was divided into waist-hip ratio above 0.85 in women and 0.95 in men. The subjects were 412 adults (age range 40-59), who had regular health examinations between 1996 to 1997 at the S-Hospital in Seoul. The data were analyzed using ANCOVA (for adjusted for age) and Pearson correlation coefficient. The results were as follows: 1. 39.9% of men and 42.5% of women had abdominal obesity. The average age group of abdominal obesity was 50.8 which is older than the non abdominal obesity group(48.0). 2. After they were adjusted for age, the group of men who have abdominal obesity had higher levels in body fat, body mass index, relative body weight, blood pressure, total cholesterol, LDL- cholesterol and triglyceride than the group of non abdominal obesity group. The group of women with abdominal obesity had higer levels in body fat, body mass index, relative body weight , blood pressure and triglyceride than the group of non abdominal obesity. 3. In the group of non abdominal obesity, the waist-hip ratio was significantly correlated to body fat, body mass index, relative body weight, blood pressure and serum lipids the group of abdominal obesity in men and women.

This study aims at examining the correlations between waist-hip ratio, body fat, BMI, relative body weight and serum lipids by men and women in 40's and 50's. The subjects were 412 adults, who had regular health examinations between January and December of 1996 at S-Hospital in Seoul. The data were analyzed using unpaired t-test and Pearson correlation coefficient. The results were as follows: 1. The group of men had higher levels in waist-hip ratio, BMI, body weight, triglyceride, total cholesterol / HDL-cholesterol ratio, LDL-cholesterol / HDL-cholesterol ratio than the group of women. The group of women had higher levels in body fat and HDL-cholesterol than the group of men. 2. In the group of men, waist-hip ratio more significantly correlated to serum lipids than body fat and BMI. In the group of women, body fat, BMI and relative body weight was more significantly correlated to serum lipids than waist-hip ratio.

The purpose of this study is to analyze the effects of exercise therapy on serum lipid levels and antioxidants of obese and normal college female students. The subject group composed of ten normal-weight students(below 30% body fat ratio) and ten obese students(above 30% body fat ratio). After a pilot test, the subjects were given an eight-weeks exercise program. Before and after the exercise program, the subjects were given test for serum lipid and antioxidants were analyzed. The SAS program was used in the data analysis. The statistical measurements employed here were T-test, Wilcoxon signed rank test, and Wilcoxon rank sum test. The results of this research are as follows. 1) The effects of exercise therapy on serum lipid levels; Before the exercise therapy, the levels of Total-cholesterol, Triglyceride and LDL-cholesterol of the obese group were higher than those of the normal-weight group. However, the HDL-cholesterol levels were higher in the normal-weight group than in the obese group, but these differences were not significant. With the exercise therapy, the levels of Total-cholesterol increased gradually. The HDL-cholesterol increased gradually, the LDL-cholesterol level decreased in both groups, However, the Triglyceride level decreased in the obese group and increased in normal group, but the difference was not significant. 2) The effects of the exercise therapy on serum antioxidants; Before exercise therapy, the serum FR and GSSG levels of the obese group were significantly higher than those if the normal-weight group(p=0.00, p=0.04). The serum GSH level of the normal-weight group was higher than that of the obese group, and the serum MDA level of the obese group was higher than that of the normal-weight group. Again these differences were not significant. With exercise therapy, serum FR level was reduced and serum GSSG level significantly increased in both group(obese group p=0.01, normal-weight group p=0.01), The serum GSH level of the obese group significantly increased(p=0.01), and serum MDA level significantly increase in the obese group(p=0.01), but the difference in the normal-weight group was not significant. These results show that regular exercise therapy reduces serum FR levels and activation of antioxidant systems, and suppress oxidative stress. These effects were slightly higher in the obese group than in the normal-weight group. The regular exercise therapy decrease the serum Triglyceride levels more in the obese group than in the normal-weight group. However the improvement of the serum lipid profile may require a longer exercise period than eight weeks. The results show that the exercise therapy was overall more effective in the obese group than the normal-weight group.

The purpose of this study was evaluate the usefulness of variables which were known to be related to blood pressure for discriminating between hypertensive and normotensive groups. Variables able such as smoking, alcohol, exercise, and stress, and demographic variables such as age, economical status, and education. The data were collected from 400 male clients who visited one university hospital located in Incheon, Republic of Korea, from May 1996 to December 1996 for a regular physical examination. Variables which showed significance for discriminating systolic blood pressure in this study were age, serum lipids, education, HDL, exercise, total smoking(in order of significance). By using the combination of these variables, the possibility of proper prediction for a high-systolic pressure group was 2%, predicting a normal-systolic pressure group was 70.3%, and total Hit Ratio was 70%. Variables which showed significance for discriminating diastolic blood pressure were exercise, triglyceride, alcohol, smoking, economical status, age and BMI(in order of significance). By using the combination of these variables, the possibility of proper prediction for a high-diastolic pressure group was 71.2%, predicting a normal-diastolic pressure group was 71.3%, and total Hit Ratio was 71.3%. Multiple regression analysis was performed to examine the association of systolic blood pressure with life style-related variables after adjustment for obesity, serum lipids, and demographic variables. First, the effect of demographic variable alone on the systolic blood pressure was statistically significant(p=.000) and adjusted R2 was 0.09. Adding the variable obesity on demographic variables resulted in raising adjusted R2 to 0.11(p=.000) ; therefore, the contribution rate of obesity on the systolic blood pressure was 2.0%. On the next step, adding the variable serum lipids on the obesity and demographic variables resulted in raising adjusted R2 to 0.12(p=.000) : therefore, the contribution rate of serum lipid on the systolic pressure was 1.0%. Finally, adding life style-related variables on all other variables resulted in raising the adjusted R2 to 0.18(p=.000) ; therefore, the contribution rate of life style-related variables on the systolic blood pressure after adjustment for obesity, serum lipids, and demographic variables was 6.0%. Multiple regression analysis was also performed to examine the association of diastolic blood pressure with life style-related variables after adjustment for obesity, serum lipids, and demographic variables. First, the effect of demographic variable alone on the diastolic blood pressure was statistically significant(p=.01) and adjusted R2 was 0.03. Adding the variable obesity on demographic variables resulted in raising adjusted R2 to 0.06(P=.000) ; therefore, the contribution rate of obesity on the diastolic blood pressure was 3.0%. On the next step, adding the variable serum lipids on the obesity and demographic variables resulted in raising the adjusted R2 to 0.09(p=.000) ; therefore, the contribution rate of serum lipid on the diastolic pressure was 3.0%. Finally, adding life style-related variables on all other variables resulted in raising the adjusted R2 to 0.12(p=.000) ; therefore, the contribution rate of life style-related variables on the systolic blood pressure after adjustment for obesity, serum lipids, and demographic variables was 3.0%.