This study identifies the factors affecting life satisfaction and depression of Korean college students and analyzes the differences between gender and family economic level in positive (self-esteem, ego-resilience, self-identity, life satisfaction) and negative emotions (attention deficit, aggression, depression, social withdrawal). The data from the 7th year of the Korean Children and Youth Panel Survey (KCYPS) conducted by the Korea Youth Policy Research Institute (KCYPS) with a total of 2,351 university students were used, and finally, 1220 subjects were selected. The statistical analysis methods of T-test, ANOVA, and multiple regression analysis were utilized with SPSS 23. The male students had significantly higher positivity than female students except for attention deficit. Those who said that they had a higher family economic background had significantly higher positive emotions and lower negative emotions except social withdrawal. Aggression had the greatest influence on depression, and the higher the satisfaction of life and self-esteem, the lower the depression. In terms of life satisfaction, self-esteem and self-resilience were identified as positive factors and depression as a negative factor. In other words, to increase the life satisfaction of college students, an intervention program to increase self-esteem and lower depression will be needed.

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Purpose:There has been limited research on physicians’ perceptions of the specialty characteristics that are needed to sustain a successful career in medical specialties in Korea. Medical Specialty Preference Inventory in the United States or SCI59 (specialty choice inventory) in the United Kingdom are implemented to help medical students plan their careers. The purpose of this study was to explore the characteristics of the major specialties in Korea.Methods:Twelve physicians from different specialties participated in an exploratory study consisting of qualitative interviews about the personal ability and emotional characteristics and job attributes of each specialty. The collected data were analysed with content analysis methods. Results:Twelve codes were extracted for ability & skill attributes, 23 codes for emotion & attitude attributes, and 12 codes for job attributes. Each specialty shows a different profile in terms of its characteristic attributes.Conclusion:The findings have implications for the design of career planning programs for medical students.