Despite the high prevalence of nurses’ turnover and the turnover intention of new nurses, there are insufficient studies examining turnover intention at the time when job orientation is completed and independent nursing commences. Thus, this study examined turnover intention levels and identified the factors affecting turnover intention of new Generation Z nurses, focusing on job stress and sleep disturbance, at the eighth week after completing job orientation. This was a cross-sectional descriptive correlational study. Using a convenient sampling method, 133 new nurses were recruited. Data were collected using a structured questionnaire consisting of demographic and occupational characteristics, job stress, sleep disturbance, and turnover intention. Descriptive statistics were computed to describe the sample and interest variables. Logistic regression analysis was performed to examine the association of job stress and sleep disturbance with turnover intention. Most nurses were women (91.7%) and approximately two-thirds worked in the surgical ward (n = 61, 45.9%). Turnover intention was 12.8%, average job stress was 40.11 ± 90.7, and average sleep disturbance was 42.39 ± 15.27. New graduate nurses’ turnover intention was associated with job stress (OR = 1.07, 95% CI = 1.02–1.12) and sleep disturbance (OR = 1.19, 95% CI = 1.05–1.35), and this model explained 47.7% of the variance. Study findings determine that job stress and sleep disturbance were significant predictors of turnover intention in new nurses at the eighth week after joining the hospital. Therefore, nursing administrators should focus on new nurses’ job stress and sleep disturbance, and provide them with timely assessment and management to reduce turnover intention.

Background and Purpose: Many patients with heart failure (HF) experience physical symptoms, poor health-related quality of life (HRQOL), and high rates of hospitalization. Physical symptoms are associated with HRQOL and are major antecedents of hospitalization. However, reliable and valid physical symptom instruments have not been established. Therefore, this study examined the psychometric properties of the Symptom Status Questionnaire–Heart Failure (SSQ-HF) in patients with HF. Method: Data on symptoms using the SSQ-HF were collected from 249 patients (aged 61 years, 67% male, 45% in New York Heart Association functional class III/IV). Internal consistency reliability was assessed using Cronbach’s α. Item homogeneity was assessed using item-total and interitem correlations. Construct validity was assessed using factor analysis and testing hypotheses on known relationships. Data on depressive symptoms (Beck Depression Inventory II), HRQOL (Minnesota Living With Heart Failure Questionnaire), and event-free survival were collected to test known relationships. Results: Internal consistency reliability was supported: Cronbach’s α was .80. Item-total correlation coefficients and interitem correlation coefficients were acceptable. Factor analysis supported the construct validity of the instrument. More severe symptoms were associated with more depressive symptoms, poorer HRQOL, and more risk for hospitalization, emergency department visit, or death, controlling for covariates. Conclusions: The findings of this study support the reliability and validity of the SSQ-HF. Clinicians and researchers can use this instrument to assess physical symptoms in patients with HF.

Health-related quality of life (HRQOL) is as important as survival to patients with heart failure (HF). Perceptions of loss of control are common in HF and negatively affect HRQOL. Knowledge of modifiable factors associated with perceived control could guide the development of interventions to improve perceived control and thus HRQOL. Accordingly, this study examined factors related to perceived control and the relationship between perceived control and HRQOL. Patients (N=232, mean age 61±12, 67% male, 78% Caucasian) provided data on HRQOL (Minnesota Living with Heart Failure questionnaire), perceived control (Control Attitudes Scale-Revised), and factors possibly associated with perceived control (knowledge and barriers (Heart Failure Knowledge and Barriers to Adherence Scale), attitudes (Dietary Sodium Restriction Questionnaire), and social support (Multidimensional Scale of Perceived Social Support)). Patients also provided data on depressive symptoms, which were a covariate of HRQOL. Hierarchical multiple regression analysis was used to analyze the data. Fewer barriers to following a low sodium diet, more positive attitudes toward following a low sodium diet, and better social support were related to higher perceived control (F=7.54, R²=0.17, p<0.001). Perceived control was independently associated with HRQOL, controlling for depressive symptoms, New York Heart Association functional class, age, gender, and all variables possibly associated with perceived control (F=29.67, R²=0.55, p<0.001). Interventions targeting attitudes and barriers to a low sodium diet and social support may improve perceived control and, in turn, HRQOL.

Patients with heart failure (HF) have poor health-related quality of life (HRQOL). The vast majority of patients have physical symptoms, and about 30–40% have depressive symptoms. The combined effects of physical and depressive symptoms on HRQOL have not been examined fully in HF. To examine the combined effects of physical and depressive symptoms on HRQOL using repeated measures, controlling for covariates (i.e. age, education level, New York Heart Association (NYHA) functional class, financial status, and health perception). Patients (N = 224, 62 ± 12 years old, 67% male, 38% NYHA functional class III/IV) provided data on physical (Symptom Status Questionnaire) and depressive symptoms (Beck Depression Inventory II) at baseline and HRQOL (Minnesota Living with Heart Failure Questionnaire) at baseline and 12 months. Patients were divided into three groups based on presence of physical and depressive symptoms: a) no symptom group, b) one symptom group (dyspnea or fatigue), and c) two symptom group (physical and depressive symptoms). Repeated measures ANOVA was used to analyze the data. The least squares mean scores of baseline and 12-month HRQOL differed significantly in the three groups after controlling for the covariates (26.4 vs. 36.6 vs. 53.1, respectively, all pairwise p values < 0.001). There was no time-by-group interaction or time main effect. Physical and depressive symptoms have a dose–response relationship with HRQOL. Further research is needed to provide effective interventions to improve physical and depressive symptoms, in turn, HRQOL.