The purpose of this study is to examine the relationships between body mass index (BMI), satisfaction of perceived somatotype, and eating disorder of 133 female college students from Gyeong-gi province. The average weight is 55.3±8.8kg, and the BMI is categorized into three groups: underweight, normal weight, and overweight. In terms of the satisfaction for perceived somatotype, 58.6% of the total respondents replied "unsatisfied," which consists of 14% of the underweight group, 37.6% of the normal weight group, and 6.8% of the overweight group. This reveals that the negative association between the satisfaction levels of perceived somatotype and BMI in the normal weight group is statistically significant (p<0.001). Among three eating disorder scores, the first factor, the drive for thinness, shows significant difference (p<0.005) among groups with 2.82 points in the underweight group, 3.38 points in the normal weight group, and 3.86 points in the overweight group; such result shows that there is a drive for being skinny even within the underweight group. Second, the satisfaction levels of perceived somatotype type shows significant dissatisfaction among all groups with 3.41 points in the underweight group, 4.15 points in the normal weight group and 4.73 points in the overweight group. Third, the bulimia degree reveals a significant difference within each group, 2.15 points in the underweight group, 2.33 points in the normal weight group, and 2.78 points in the overweight group. Overall, more than half of the female college students are dissatisfied with their body shapes despite the fact that they are under or within the normal weight. In addition, the drive for being skinny and dissatisfaction levels of perceived somatotypes appear to be significantly higher with higher BMI levels.

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This study intends to identify the characteristics of cancer in-patients and those of cancer patients who defected to other medical institutions based on the summary of hospital discharge information of a university hospital for the purpose of improving work efficiency and maximizing the number of patients. The study used data on cancer patients registered in the database of C University Hospital in Gyeonggi Province for a period of one year between January 1 and December 31.The analysis results suggest that the commonalities of the cancer patients who defected to other medical institutions include no specific job, old age, and hospitalization through emergency room.In conclusion, hospitals need to identify the characteristics of cancer patients classified as patients who are prone to defect and the defection factors through this prediction model.