Psychosocial Well-Being of Clinical Nurses Performing Emotional Labor: A Path Analytic Model Approach / 간호학회지

PURPOSE: This study was conducted to investigate the influence of emotional expressivity, emotional intelligence, affectivity, job autonomy, social support, and emotional labor on clinical nurses' individual well-being and to provide guidelines for interventions and strategies for its improvement. METHODS: The sample consisted of 207 nurses recruited from a general hospital in Korea. The participants completed a structured self-report questionnaire comprising measures of emotional expressivity, emotional intelligence, positive affectivity, negative affectivity, job autonomy, supervisor support, coworker support, deep acting, surface acting, emotional exhaustion, and job satisfaction. Data were analyzed using SPSS statistics 22.0 and AMOS 22.0. RESULTS: The final model was a good fit for the data based on the model fit indices. In the path analysis, surface acting, negative affectivity, supervisor support, and coworker support had statistically significant effects on emotional exhaustion, explaining 29.0% of the variance. Deep acting, emotional exhaustion, positive affectivity, and emotional intelligence had statistically significant effects on job satisfaction, explaining 43.0% of the variance. CONCLUSION: Effective strategies to improve clinical nurses' individual well-being should focus on surface acting, deep acting, affectivity, social support, and emotional intelligence. The results of this study can be utilized as base data to manage emotional labor and improve clinical nurses' individual well-being.

Psychosocial Well-Being of Clinical Nurses Performing Emotional Labor: A Path Analytic Model Approach

PURPOSE@#This study was conducted to investigate the influence of emotional expressivity, emotional intelligence, affectivity, job autonomy, social support, and emotional labor on clinical nurses' individual well-being and to provide guidelines for interventions and strategies for its improvement.@*METHODS@#The sample consisted of 207 nurses recruited from a general hospital in Korea. The participants completed a structured self-report questionnaire comprising measures of emotional expressivity, emotional intelligence, positive affectivity, negative affectivity, job autonomy, supervisor support, coworker support, deep acting, surface acting, emotional exhaustion, and job satisfaction. Data were analyzed using SPSS statistics 22.0 and AMOS 22.0.@*RESULTS@#The final model was a good fit for the data based on the model fit indices. In the path analysis, surface acting, negative affectivity, supervisor support, and coworker support had statistically significant effects on emotional exhaustion, explaining 29.0% of the variance. Deep acting, emotional exhaustion, positive affectivity, and emotional intelligence had statistically significant effects on job satisfaction, explaining 43.0% of the variance.@*CONCLUSION@#Effective strategies to improve clinical nurses' individual well-being should focus on surface acting, deep acting, affectivity, social support, and emotional intelligence. The results of this study can be utilized as base data to manage emotional labor and improve clinical nurses' individual well-being.

Factors Influencing Work-life Balance in Korean Registered Nurses / 한국직업건강간호학회지

PURPOSE: This study aimed to explore personal as well as occupational factors and health status associated with work-life balance in Korean registered nurses. METHODS: This study was a secondary data analysis using cross-sectional nationally representative data from the Korean Working Conditions Survey (KWCS) in 2014. Study participants included 450 registered nurses in South Korea. Descriptive analysis, Independent t-test, χ² test, and Logistic regression analyses were performed using the SPSS 21.0 statistical program. RESULTS: Work-life balance was reported in 70.6% individuals with 85.7% being male and 70.0% being female nurses. Logistic regression analysis revealed that being male good health state, having less than 40-hour working week, lower number of night duty, policy on flexible work arrangement were significant predictors of work-life balance. CONCLUSION: This study provided evidence that identify predictors of work-life balance in registered nurses in South Korea. Therefore, we need the actively support health care service promotion and prevention for work-life balance predictors.

Influences of Working Conditions and Health Status on Absence due to Sickness in Health and Medical related Workers / 한국직업건강간호학회지

PURPOSE: This study was to examine the influences of working conditions and health status on absence due to sickness in health and medical related workers. METHODS: Data from the Third Korean Working Condition Survey was used. Study participants included 929 workers who have been working in the medical and healthcare fields. Descriptive analysis, independent t-test, χ² test, Fisher's exact test and logistic regression analyses were performed using SPSS 21.0 statistical program. RESULTS: Absence due to sickness was found in 7.8% of health and medical related workers. Absence due to sickness differed significantly depending on monthly income, company size, work-related musculoskeletal risk factors, job control, physical health problems and subjective health status would be important factors affecting absence. CONCLUSION: This study provides evidences that predictors of absence due to sickness in workers of medical and healthcare fields are identified. Therefore, we need the active support for health care service promotion and prevention for predictors of absence due to sickness.