PURPOSE: The purpose of this study was to examine the relationship among emotional intelligence, empathy and facilitative communication ability of psychiatric nurses. METHODS: Participants were 173 conveniently selected psychiatric nurses from 10 hospitals in Korea. Data were collected from June to September, 2015 through self-reported questionnaires. RESULTS: Facilitative communication ability was significantly different depending on educational level (t=6.06, p=.003). There were significant positive correlations between emotional intelligence and facilitative communication ability (r=.61, p<.001), and also between empathy and facilitative communication ability (r=.63, p<.001). In the multiple regression, except for education level, emotional intelligence (β=.17, p=.003) and empathy (β=.21, p=.000) explained 38.2% of the variance in facilitative communication ability. CONCLUSION: These findings indicate that emotional intelligence and empathy are important factors in psychiatric nurses' facilitative communication ability. Accordingly, to improve the facilitative communication ability of psychiatric nurses, educational programs based on development of emotional intelligence and empathy are necessary.
Communication* ; Education ; Emotional Intelligence* ; Empathy* ; Korea

PURPOSE: The purpose of this study was to identify the effects of social support and emotional intelligence in the relationship between emotional labor and burnout among clinical nurses. METHODS: The sample for this study consisted of 382 nurses from four hospitals located in Seoul or Gyunggi Province. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheffe test, Pearson Correlation, Hierarchical Multiple Regression, and Path Analysis. RESULTS: It was found that: (a) emotional labor had a positive effect on burnout, while social support and emotional intelligence had negative effects on burnout; (b) social support and emotional intelligence moderated the relationship between emotional labor and burnout, and (c) social support mediated the relationship between emotional labor and burnout, whereas emotional intelligence did not. CONCLUSION: The results of the study indicate that high levels of support had a buffering effect and mitigated the negative effects of the emotional labor on burnout. Therefore, strategies to enhance social support for nurses are needed and further research needs to be done to refine this study.
Emotional Intelligence

OBJECTIVES: This study was coperinducted with the aim of prediction of marital satisfaction based on emotional intelligence for postmenopausal women. METHODS: This cross-sectional study was the descriptive-correlation and with a sample size of 134 people to predict marital satisfaction based on emotional intelligence for postmenopausal women was conducted in the Borujen city. The subjects were selected by convenience sampling. Data collection tools included an emotional intelligence questionnaire (Bar-on) and Enrich marital satisfaction questionnaire. RESULTS: The results of this study showed a significant positive relationship between marital satisfaction and emotional intelligence (P < 0.05, r = 0.25). Also, regression analysis showed that emotional intelligence (β = 0.31) can predict positively and significantly marital satisfaction. CONCLUSIONS: Due to the positive relationship between emotional intelligence and marital satisfaction, adequacy of emotional intelligence is improved as important structural in marital satisfaction. So it seems that can with measuring emotional intelligence in reinforced marital satisfaction during menopause, done appropriate action.
Cross-Sectional Studies ; Data Collection ; Emotional Adjustment ; Emotional Intelligence* ; Female ; Humans ; Menopause ; Personal Satisfaction ; Sample Size

PURPOSE: The purpose of this study was to investigate factors affecting the resilience of emotional intelligence, job stress coping, and organizational socialization of nurses working in long-term care hospitals.METHODS: The participants were 153 nurses working in 8 long-term care hospitals in B city. Data were collected from February. 1 to Feb. 15, 2019 SPSS/WIN 23.0 was used for analysis with t-test, ANOVA, Scheffé test, Pearson correlation coefficients, and stepwise regression.RESULTS: Factors influencing resilience in the participants were emotional intelligence (β=.38, p < .001), coping behavior-focusing on the positive (β=.29, p < .001), nurse motivation (β=.16, p=.006), organizational socialization (β=.17, p=.009), coping behavior-tension reduction (β=.14, p=.023). These factors contributed 54% of the total variance in resilience.CONCLUSION: It is necessary to study emotional intelligence and hospital nurses' coping with job stress while carrying out highly emotional activities on the job and to develop a program that can enhance the resilience of the nurses to improve psychological wellbeing and verify the effects.
Emotional Intelligence ; Long-Term Care ; Motivation ; Socialization

OBJECTIVE: Meditation can elicit trait-like changes in psychological and social styles, as well as enhancement of emotional regulatory capacity. We investigated the relation between personality traits and emotional intelligence in meditation practitioners. METHODS: Seventy-two long-term practitioners of mind-body training (MBT) and 62 healthy comparative individuals participated in the study. The participants completed emotional intelligence questionnaires and the Myers-Briggs Type Indicator (MBTI). RESULTS: The MBT group revealed higher scores on all five emotional intelligence factors than did those in the control group, such as emotional awareness and expression, empathy, emotional thinking, emotional application, and emotional regulation (all p≤0.001). MBT practitioners also had higher scores on the intuition of perceiving function (t=−2.635, p=0.010) and on the feeling of the judging function (t=−3.340, p=0.001) of the MBTI compared with those in the control group. Only the MBT group showed a robust relationship with every factor of emotional intelligence and MBTI-defined intuitive styles, indicating that higher scores of emotional intelligence were related to higher scores for intuition. CONCLUSION: Emotional intelligence of meditation practitioners showed notable relationships with some features of personality trait. In-depth associations between emotional intelligence and personality traits would help to foster psychological functions in meditation practitioners.
Emotional Intelligence* ; Empathy ; Intuition ; Meditation* ; Personality Inventory ; Thinking

PURPOSE: The purpose of this study was to investigate the effects of emotional labor, emotional intelligence and social support on job stress in clinical nurses. METHODS: Participants were 123 clinical nurses and data were collected from October to December, 2011 and analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and multiple regression with SPSS 18.0. RESULTS: A positive correlation was found between job stress and emotional labor. Emotional labor showed a significant negative correlation with emotional intelligence and social support, whereas a positive correlation was found between emotional intelligence and social support. The strongest predictor of job stress was emotional labor. In addition, institution satisfaction (dissatisfaction) and the reason for selecting the job (opportunities for service) accounted for 21% of variance in job stress. CONCLUSION: The results of this study suggest that it is important to manage emotional labor as well as to improve job satisfaction in order to reduce job stress in clinical nurses.
Emotional Intelligence ; Job Satisfaction

Educators must be able to conscientiously assess their learners' readiness for online learning to achieve an effective and relevant delivery of education. Studies suggest that the extent of emotional intelligence contributes to the readiness for online learning of nursing students. Also, emotional intelligence can be a preventative factor in traversing the path to online learning during the global health crisis. The aim of the study is to assess nursing students' readiness for online learning and emotional intelligence. In addition, it seeks to identify the association between readiness in online learning and emotional intelligence. The study utilized a descriptive-quantitative survey method, including 174 nursing students from a selected local university offering nursing program in the National Capital Region. The data gathering was conducted during the 24th to 27th of March 2020 or during the 2nd week of Enhanced Community Quarantine (ECQ). The study adapted and modified the emotional intelligence scale by Hyde et al. (2002) and the Tool for Online Learning Success (TOOLS) by Kerr et al. (2006). The tools were pre-tested with reliability test results of 0.949 and 0.892, respectively, showing acceptable reliability. Then, data was gathered using an online gathering instrument and statistically analyzed using SPSS Version 24. The findings of the study suggest that nursing students are highly mindful of their academic skills (m=3.870) and independent learning (m=3.767). For the EI of the participants, based on the ten domains, the high scores are on emotional stability (m=4.929), self-development (m=4.989), and integrity (m=4.198). In addition, there was a significant relationship between emotional intelligence and readiness for online learning of nursing students, specifically on computer skills (r=0.318; p<0.001), academic knowledge (r=0.675; p<0.001), and independent learning (r=0.750; p<0.001). Assessing the emotional intelligence of nursing students and their readiness for online learning gives the academic institution an overview of the feelings, emotions, and capabilities of students. It creates a guide for any actions which involve the students.
Emotional Intelligence ; Students, Nursing

PURPOSE: This study was to identify the emotional intelligence, defense mechanism and interpersonal caring behavior by enneagram personality types in nursing students. METHODS: A descriptive survey design was used and data were collected using questionnaires from a sample of 263 nursing students. The data were analyzed using by t-test, ANOVA, Pearson's correlation coefficient analysis with SPSS 20.0. RESULTS: In the enneagram personality types, the nursing students was highly measured the type 9(Peacemaker). Emotional intelligence was significantly associated with financial status of parents, motivation of admission and satisfaction of nursing by enneagram characters. Hoping and sharing of interpersonal caring behaviors were significantly differentiated with the power type of enneagram personality. And active listening, comforting, participating of interpersonal caring behaviors were the most popular among the 9 types of personality. There was a positive correlation between emotional intelligence and interpersonal caring behavior. CONCLUSION: This study suggest that nursing students should be educated the interpersonal caring behavior program considering emotional intelligence and enneagram personality types.
Emotional Intelligence* ; Hope ; Humans ; Motivation ; Nursing* ; Parents ; Students, Nursing*

PURPOSE: The purpose of this study was to identify the mediating effect of self-efficacy in the relationship between emotional intelligence and clinical performance in nursing students. METHODS: Data were collected through structured questionnaires between March 1 and March 25, 2016. Study participants were 223 fourth year nursing students in B and K metropolitan city. Data were analyzed using t-test, ANOVA, Scheffe' test, Pearson's correlation coefficients, and hierarchical multiple regression with SPSS WIN v 18.0. RESULTS: The mean scores of emotional intelligence was 3.85±0.43, self-efficacy was 3.25±0.40, and clinical performance was 3.63±0.51. There were significant positive correlations between emotional intelligence, self-efficacy and clinical performance. There were partial mediating effect of self-efficacy in the relationship between emotional intelligence and clinical performance. CONCLUSION: In order to enhance nursing students' clinical performance, strategies for intervention development such as stimulating emotional intelligence and motivation by self-efficacy are necessary.
Emotional Intelligence* ; Humans ; Motivation ; Negotiating* ; Nursing* ; Students, Nursing*

PURPOSE: The patient-physician interaction (PPI) is a critical part of the clinical encounter. Recent studies have emphasized the importance of the emotional intelligence (EI) of physician in the PPI. Despite emphasizing the EI, previous studies offer limited evidence regarding the effect of a student's EI on the PPI. The purpose of this study is to explore the differences in EI depending on the demographics of medical students and the correlation between EI and PPI scores. METHODS: The sample was 85 fourth-grade medical students. Prior to taking a 12-station clinical performance examination, the students completed questionnaires on their own perception of the EI, which included 5 domains and 50 items. The tool that was used to assess the level of EI was Moon's modified version of the EI test for adults. We investigated differences in EI depending on the demographics of medical students by ANOVA and noted a correlation between EI and PPI scores by stepwise multiple regression analysis. RESULTS: This study found that females or graduate entry students have higher EI scores and that 25 to 30-year-old students have higher EI scores than aged under 25 years. The PPI scores correlated positively with total EI scores (r=0.32) and 2 subdomains (perception and expression of emotion, r=0.26; empathy, r=0.33). Two subdomains were the best predictors of PPI score (R2=0.171). CONCLUSION: EI correlates significantly with PPI score and affects it. We conclude that EI is a key influence of the PPI. Further research is required to explore whether this is a consistent effect.
Adult ; Aged ; Demography ; Emotional Intelligence ; Empathy ; Female ; Humans ; Students, Medical ; Surveys and Questionnaires