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The aim of this study was to explore how hemodialysis patients' quality of life is related to sociodemographic data and depression as predicting variables, and how it is affected by fatigue as a mediating variable. Participants were 405 patients who has been receiving hemodialysis treatment regularly. SPSS Amos path analysis was used to explore the causal relationship and the mediating effect of fatigue among the variables of sociodemographic characteristics, depression, and quality of life. Unstandardized estimates determined that while sociodemographic characteristics were a significant predictor of fatigue, they were not directly related to quality of life. The results showed that depression and fatigue in patients receiving hemodialysis are important factors that affect patients' quality of life to a greater (fatigue) or lesser (depression) extent. Depression can affect patients' quality of life either directly or indirectly via fatigue. In this study, we demonstrated that fatigue plays an important role in the relationships among sociodemographic characteristics, depression, and quality of life in patients receiving hemodialysis. The results of the study further suggest that comprehensive management programs should be applied with patients to reduce their fatigue, and ultimately to improve their quality of life. [ABSTRACT FROM AUTHOR]

Purpose This study aimed to (a) test the fit of the hypothesized model for new nurses' intent to leave and (b) determine the extent to which personal characteristics, work conditions, and work-related fatigue predict intent to leave among new nurses. Design and Methods This study was a cross-sectional survey study. A total of 162 new nurses were recruited. A hypothesized model was proposed for model testing. Structural equation modelling was used for data analysis. Findings Work conditions only had an effect through work-related fatigue on new nurses' intent to leave. Personal characteristics did not have a significant effect on new nurses' intent to leave. The final model showed a good fit. Work-related fatigue, work conditions, and health explained 65% of the variance in new nurses' intent to leave. Conclusions Work-related fatigue was a major determinant of new nurses' intent to leave. More attention should be paid to fatigue reduction strategies among new nurses. Clinical Relevance Work-related fatigue should be monitored, particularly for new nurses who work more than 10 hr per day and who have greater workloads. [ABSTRACT FROM AUTHOR]

To determine the factors of learning effectiveness in English vocabulary learning when using a calibration scheme, this study developed a freshman English mobile device application (for i Phone 4) for students with low levels of English proficiency to practise vocabulary in the beginning of their Freshman English course. Data were collected and validated from 243 subjects for confirmatory factor analysis and structural equation modeling. The findings revealed that Internet cognitive failure (i.e., trait cognitive disability) was positively correlated to Internet cognitive fatigue (i.e., state cognitive disability). Both types of Internet cognitive disability were negatively correlated to self-regulation in English vocabulary learning ( SREVL). SREVL was positively correlated to the degree of learning improvement. The findings implied that the use of a calibration design for mobile English vocabulary learning could benefit students with low levels of Internet cognitive disability but high levels of SREVL. [ABSTRACT FROM AUTHOR]