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.

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.

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.

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.

This study aimed to test a proposed structural equation model in which bullying experience, conflict management styles and psychological empowerment predict psychological well-being among Chinese nursing students in clinical placement.

Three hundred and sixty-six nursing students recruited from five hospitals in J city and Y city were assessed with self-report questionnaires on bullying experience, conflict management styles, psychological empowerment and psychological well-being including depression, self-esteem, and academic major satisfaction. Data were analyzed using SPSS version 20.0 and AMOS version 22.0.

The evaluation parameters included the comparative fit index at .90, the goodness of fit index at .93, the root mean square error of approximation at .07, and c²/df ratio at 2.66, indicating that the proposed structural equation model provided a good fit to the data. Experience of being bullied during clinical placement, conflict management styles and psychological empowerment explained 93.0% of the variance and had significant effects on psychological well-being, with conflict management styles and psychological empowerment mediating the association between bullying and psychological well-being.

The findings indicated that mediation by conflict management styles and psychological empowerment alleviated the negative influence of bullying on psychological well-being. To limit bullying and its negative effects, development of effective guidelines to deal with bullying will be a critical tool for both Chinese nursing students and their instructors. Further research should incorporate conflict management styles and psychological empowerment into the specific intervention strategies for handling bullying behaviors among nursing students and staff nurses and promoting nursing students’ psychological well-being.

The purpose of this study was to construct and test a structural equation model for Diabetes self-management (DSM) behavior and Quality of life (QoL) in older adults with diabetes who use Citizen Health Promotion Centers. The theory used this study was a combination of the Information-Motivation-Behavioral Model (IMB) and Self-Determination Theory (SDT) to reflect autonomous characteristics of participants.

Data were collected from April 20 to August 31, 2015 using a self-report questionnaire. The sample was 205 patients with type 2 Diabetes who regularly visited a Citizen Health Promotion Center. SPSS 22.0 and AMOS 22.0 programs were used to analyze the efficiency of the hypothesized model and calculate the direct and indirect effects of factor affecting the participants’ DSM behavior and QoL.

The supported hypotheses were as follows; 1) The variable that had a direct effect on QoL was health behavior adherence (γ=.55, p=.007). 2) The variables that had a direct effect on DSM behavior were DSM information (γ=.15, p=.023), DSM confidence (γ=.25, p<.001), and autonomous motivation (γ=.13, p=.048). 3) The variable that had a direct effect on DSM confidence was autonomy support (γ=.33, p<.001).

The major findings of this study are that supporting patient's autonomous motivation is an influential predictor for adherence to DSM behavior, and integrative intervention strategies which include knowledge, experience and psychosocial support are essential for older adults with diabetes to continue DSM behavior and improve QoL.

The purpose of this study was to identify from the International Classification of Functioning model, factors influencing quality of life in elderly persons and to describe the concrete pathway of influence and the power of each variable.

The sample included 334 elders who lived in 5 districts of D Metropolitan City. A structured questionnaire was used and the collected data were analyzed for fitness, using the AMOS 18.0 program.

This model was concise and extensive in predicting the quality of life of elders. The research verified the factors influencing quality of life for elders as direct factors such as activity of daily living (ADL) (β=.13, t=2.47), leisure activity (β=.55, t=5.04), social disengagement (β=-.25, t=-2.25), and depression (β=-.62, t=-10.86). Indirect factors including economic status (γ=.17, p=.009), type of residence (γ=.19, p=.004), ADL (γ=.12, p=.027) were important factors in predicting quality of life for elders. These variables explained 75.6% of variance in the prediction model.

The findings indicate a need for the nursing scientific community to develop intervention programs considering these variables to improve the quality of life for elders.