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Background: Alexithymia, a subclinical cognitive-affective impairment, is prevalent in older people and increases the risk of mental disorders. There is a vast alexithymia treatment gap, with majority of older people in nursing homes lacking access to adequate mental health care. The study aimed to evaluate the effects of rational emotive behavior therapy (REBT) on alexithymia, anxiety, depression and sleep quality of older people in nursing homes. Methods: This quasi-experimental study was conducted with two groups (the control group and intervention) from March to November 2021. This study enrolled 86 participants, two of whom were lost to follow-up; 42 received usual care (control group) and 42 received REBT based on usual care (intervention group) in nursing homes. The older people in both groups were evaluated at baseline (T0), within one-week post-intervention (T1), and at 3-month follow-up (T3). Generalized estimating equations were used by SPSS version 26 to assess the differential change in the outcomes between the two groups. Results: The intervention group shows significantly greater improvement in alexithymia than the control group at both T1 (β = -8.167, 95%CI= -10.965, -5.368, P < 0.001) and T2 (β=-4.119, 95%CI= -7.171, -1.067, P = 0.008). The two groups showed significant differences at both T1 and T2 in both difficulty identifying feelings and difficulty describing feelings. Compared to the control group, the intervention group shows a significant improvement in sleep quality at T2 (β = -2.048, 95%CI=-4.004, -0.091, P = 0.040). The two groups showed significant differences at both T1 and T2 in both sleep disturbance and daytime dysfunction. For depression and anxiety, no significant differences were found between the intervention and control groups. Conclusions: REBT showed to be an effective method for improving alexithymia and sleep quality of older people in nursing homes. However, it failed to significantly alleviate anxiety and depression at least in a short-term trial. Refining this intervention may have a broader, more substantial impact on future research. [ABSTRACT FROM AUTHOR]

Background: Nurses in tertiary hospitals are at high risk for depression. Understanding sleep quality and perceived stress may contribute to nurses' mental health and health-related nursing productivity. The aim of this study was to investigate the role of sleep quality and perceived stress on depressive symptoms among nurses in tertiary hospitals. Methods: A total of 2,780 nurses (overall response rate = 91.1%) were recruited through a cross-sectional survey in 23 tertiary hospitals in China. Questionnaires included the Self-Rating Depression Scale, the Pittsburgh Sleep Quality Index, and the Chinese Perceived Stress Scale. Variables that were significant in Chi-square tests were further entered into binary logistic stepwise regression. Results: The prevalence of depressive symptoms was 60.3% (n = 1,676), of which 97.4% (n = 1,633) were female, and 77.8% were younger than 35 years (n = 1,304). Nurses who had moderate, poor, severe sleep quality and poor perceived pressure were more likely to be depressed. Master's degree, 6–10 years of work, and physical activity were protective factors, while the opposite was the case for shift work and high dissatisfaction. Conclusions: More than half of nurses working in tertiary care hospitals reported depressive symptoms, and lower sleep quality and higher perceived stress were more associated with this. Perceived stress is an interesting concept, which may provide a new entry point for the well-known idea that there is a relationship between poor sleep quality and depression. It is possible to reduce depressive symptoms among public hospital nurses by providing information on sleep health and stress relief. Highlights: The prevalence of depressive symptoms is high among tertiary hospital nurses (60.3%). Lower sleep quality and worse perceived stress are modifiable variables relevant to depressive symptoms and may be useful for depressive symptom management strategies. Taking job characteristics (i.e., work experience, shifts, and satisfaction) into consideration may help achieve fewer depressive symptoms in the nurse population. [ABSTRACT FROM AUTHOR]