Purpose: This study was conducted to analyze the concept of nurses' emotional labor. Method: Rodgers's evolutionary concept analysis was used. Result: Nurses' emotional labor can be defined by two attributes: emotional distortion and self-regulation process. Antecedents of nurses' emotional labor include interactional, organizational and personal factors. The consequences of nurses' emotional labor are emotional dissonance and internalization of organizational display rules. Conclusion: Appropriate instrument to operationalize the concept need to be developed.

Purpose: This study was done to examine factors affecting quality of life among community-dwelling elderly women who live in rural areas. Methods: The design of this research was cross-sectional descriptive study. The participants were 92 community-dwelling women aged 65 or older. Data were collected from November 1 to 15, 2013. ADL (Kart's Index), GDS-SF (Geriatric Depression Scale Short Form) and GQOL (Geriatric Quality of Life Scale) were used to measure variables. Data were collected using self-administered questionnaires and analyzed using descriptive statistics, Spearman's coefficient and stepwise multiple regression. Results: The participants' mean age was 77.5, and 85.9% had elementary school graduation or less education, and for 64.1%, their economic status was low. Spearman's rho coefficient analysis found that QOL was significantly associated with depression (r=-.72, p<.001), perceived health (r=.58, p<.001), regular exercise (r=.47, p<.001), education level (r=.29, p=.005), and ADL (r=-.21, p=.043). Multiple regression analysis showed that 65.9% of their QOL was explained by depression (${\beta}=-.72$), perceived health (${\beta}=.24$), ADL (${\beta}=-.16$), exercise (${\beta}=.22$) and number of diseases (${\beta}=.19$). Conclusion: These results indicate that older women who live rural areas need support for ADL, and prevention of depression to improve their quality of life.

Purpose: The study was performed to identify factors influencing suicidal ideation in patients with chronic mental health problems and who live in the community. Methods: Data were collected using questionnaires and participants were 140 people with mental illness living in Y-si, Gyeonggi-do. The study was carried out from May 15 to September 30, 2014. Data were analyzed using descriptive statistics, Pearson Correlation Coefficients, and Logistic Regression with the SPSS/WIN 18.0 statistical program. Results: The number of persons who attempted suicide was 47(33.6%) and the number who had suicide ideation was 22(15.7%). The mean score for depression was $6.4{\pm}6.45$. The mean score for life satisfaction was $16.5{\pm}8.21$. Depression had a significant negative correlation with life satisfaction. Odds ratio of suicide ideation was 1.19. The significant factor influencing suicidal ideation was depression. Conclusion: The results of this study can be used in the development and practice of programs to decrease suicide in people with mental illness.