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Epilepsy is a disorder that causes recurring seizures, and the most objective and useful test for detecting epilepsy is the electroencephalogram (EEG). The subjects of this study are 244 patients who received an EEG after being diagnosed with epilepsy at Seoul National University Hospital in 2014, and who have agreed to the purpose of the study. Based on the EEG results, subjects were divided into normal and abnormal groups with 122 subjects in each group, regardless of their gender and age, to investigate the correlation of EEG and complete blood cell count (CBC) test results. The four significant categories that displayed significant correlation between EEG results and CBC hematological measurements in this study were the white blood cell (WBC), red blood cell (RBC), neutrophil, and lymphocyte tests. The WBC (p＜0.05) and neutrophil (p＜0.01) showed a positive correlation with EEG results, while RBC (p＜0.05) and lymphocyte (p＜0.01) showed a negative correlation. One of the limitations of this study is that it is lacking the blood test result analysis according to the types of anti-epilepsy medicine. However, the analysis of EEG results by the same disease has significant meaning. Therefore, further studies are needed to statistically analyze more data in the future.

The tendency of students to become adults in the future to improve the country's public health policy and to determine the socio-economic development of the research is very important. The objectives of this study were to examine the changes in body weight, body mass index (BMI), body composition, and complete blood cell count in a group of male and female university students. Among the body compositions, height, weight, BMI, muscle volume, basal metabolic rate, red blood cells, hemoglobin, and hematocrit showed a correlation between the amount shown both had statistical significance (p＜0.01). In particular, platelets showed a rather different result from fat and body fat percentage, and were positively correlated with waist-hip ratio points (p＜0.01). This study may be useful as it provides the basic data necessary for students of healthcare. Therefore, developing a sustainable management system of healthcare on a national level for university students is very important.

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This study investigated the influence factors of retirement expectations among medical technologists at medical centers in Seoul and Gyeonggi area, Korea. Subjects were 158 medical technologists. Using a sampling survey method, data was analyzed between July 2015 and December 2016. There was a negative correlation between educational level and economic preparation, but gender and monthly income did not reach retirement expectation level. Conversely, we found no change in the trends with respect to gender, monthly income; nonetheless, we observed that frustration gradually increased with age and working duration. In conclusion, our findings show that there are four factors that significantly influence retirement expectation and preparation: age, level of education, working duration, and family condition. This study contributes to understanding retirement expectations and can be a reference for retirement preparation in medical technologists.