Association of nurse managers' paternalistic leadership and nurses' perceived workplace bullying: The mediating effect of organizational climate.

AIMS: To explore the association between nurse managers' paternalistic leadership and nurses' perceived workplace bullying (WPB), as well as to examine the mediating role of organizational climate in this association. BACKGROUND: There is a lack of empirical evidence regarding the relationship between nurse managers' paternalistic leadership, organizational climate and nurses' perceived WPB. Clarifying this relationship is crucial to understand how paternalistic leadership influences WPB and for nursing managers to seek organizational-level solutions to prevent it. METHODS: A cross-sectional survey was performed from 4 January to 10 February 2022, in six tertiary hospitals in mainland China. Demographic information, Paternalistic Leadership Scale, Organizational Climate Scale and Negative Acts Questionnaire-Revised were used in the survey. Descriptive statistics, Spearman correlation analyses and a structural equation model were used for data analysis. RESULTS: A total of 5093 valid questionnaires were collected. Moral leadership and authoritarian leadership have both direct and indirect effects on WPB through the mediating effect of organizational climate. The former is negatively related to WPB and the latter is positively related to WPB. Benevolent leadership was only negatively associated with WPB via the mediating effect of organizational climate. CONCLUSION: The three components of paternalistic leadership have different effects on WPB through the mediating effect of organizational climate. Nurse managers are recommended to strengthen moral leadership, balance benevolent leadership, reduce authoritarian leadership and strive to create a positive organizational climate in their efforts to mitigate WPB among nurses. IMPACT: This study enhanced our comprehension of the relationship between different leadership styles and WPB. Greater emphasis should be placed on moral leadership in the promotion of nursing managers and nursing leadership training programs. Additionally, nursing managers should focus on establishing a positive organizational climate that helps to reduce WPB. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. This study did not involve patients, service users, caregivers or members of the public.

Relaxation Therapy for Depression: An Updated Meta-analysis.

We conducted this updated meta-analysis to evaluate the effects of relaxation therapy for depression. We searched PubMed, MEDLINE, PsycINFO, the Cochrane Library, Web of Science, and CINAHL for randomized controlled trials evaluating the effects of relaxation therapy in patients with depression. Finally, 14 studies were included in this meta-analysis. The efficacy of the intervention was evaluated using depression scale scores. We found that there was no significant difference between the effects of relaxation therapy and psychotherapy on decreasing self-rated depressive symptoms (standardized mean difference [SMD] = 0.19; 95% confidence interval [CI], -0.11 to 0.48). In addition, eight trials compared relaxation therapy with no treatment, waiting list, or minimal treatment and showed that the relaxation group reported lower levels of self-reported depression scores postintervention (SMD = -0.57; 95% CI, -0.98 to -0.15). Therefore, this meta-analysis showed that relaxation might reduce depressive symptoms, and the effect is not worse than that of psychotherapy.

Cross-cultural adaptation and validation of the Groningen Frailty Indicator in Chinese nursing home residents.

BACKGROUND: Frail older people are more likely to develop negative health outcomes. Previous studies have indicated that the Groningen Frailty Indicator is a practical frailty screening instrument with good psychometric properties; however, it has never been implemented in Chinese nursing homes. AIMS: To cross-culturally adapt and validate the Groningen Frailty Indicator in Chinese nursing home residents. METHODS: The participants were 192 residents from nursing homes. Reliability was analyzed by internal consistency and test-retest methods. Convergent validity was assessed using Spearman rank correlations between the GFI domains and activities of daily living, the mini nutritional assessment, the Mini-mental state examination, the Social Support Rating Scale, the 20-item Epidemiologic Studies Depression Scale and the Short Form 36 mental component summary. Criterion validity was investigated by performing a receiver operating characteristics curve analysis. RESULTS: The Chinese GFI achieved semantic, idiomatic, and experiential equivalence. It had a high response rate among nursing home elders. It also showed good internal consistency (ICC = 0.712) and excellent test-retest reliability. Regarding construct validity, it presented good known-group divergent validity based on age. The correlations between the GFI domains and their corresponding measures were consistent as hypothesized, demonstrating convergent validity of the GFI. Using the Fried frailty phenotypes as reference criteria, the Chinese GFI showed satisfactory diagnostic accuracy for frailty (AUC = 0.823) and prefrailty (AUC = 0.791). The optimal cutoff point was 4 for frailty and 3 for prefrailty. CONCLUSIONS: The GFI was successfully adapted for Chinese nursing home residents and presented acceptable validity and reliability.

Deep Learning-Based Image Automatic Assessment and Nursing of Upper Limb Motor Function in Stroke Patients.

This paper mainly introduces the relevant contents of automatic assessment of upper limb mobility after stroke, including the relevant knowledge of clinical assessment of upper limb mobility, Kinect sensor to realize spatial location tracking of upper limb bone points, and GCRNN model construction process. Through the detailed analysis of all FMA evaluation items, a unique experimental data acquisition environment and evaluation tasks were set up, and the results of FMA prediction using bone point data of each evaluation task were obtained. Through different number and combination of tasks, the best coefficient of determination was achieved when task 1, task 2, and task 5 were simultaneously used as input for FMA prediction. At the same time, in order to verify the superior performance of the proposed method, a comparative experiment was set with LSTM, CNN, and other deep learning algorithms widely used. Conclusion. GCRNN was able to extract the motion features of the upper limb during the process of movement from the two dimensions of space and time and finally reached the best prediction performance with a coefficient of determination of 0.89.

Upregulated lncRNA Pvt1 may be important for cardiac remodeling at the infarct border zone.

Myocardial infarction (MI) is a leading cause of mortality due to progression to ventricular arrhythmias (VAs) or heart failure (HF). Cardiac remodeling at the infarct border zone (IBZ) is the primary contributor for VAs or HF. Therefore, genes involved in IBZ remodeling may be potential targets for the treatment of MI, but the mechanism remains unclear. The present study aimed to explain the molecular mechanisms of IBZ remodeling based on the roles of long non­coding RNAs (lncRNAs). After downloading miRNA (GSE76592) and mRNA/lncRNA (GSE52313) datasets from the Gene Expression Omnibus database, 23 differentially expressed miRNAs (DEMs), 2,563 genes (DEGs) and 168 lncRNAs (DELs) were identified between IBZ samples of MI mice and sham controls. A total of 483 DEGs were predicted to be regulated by 23 DEMs, among which Itgam, Met and TNF belonged to hub genes after five topological parameters were calculated for genes in the protein­protein interaction network. These hub genes­associated DEMs (mmu­miR­181a, mmu­miR­762) can also interact with six DELs (Gm15832, Gas5, Gm6634, Pvt1, Gm14636 and A330023F24Rik) to constitute the competing endogenous RNA (ceRNA) axes. Furthermore, a co­expression network was constructed based on the co­expression pairs between 44 DELs and 297 DEGs, in which Pvt1 and Bst1 were overlapped with the ceRNA network. Thus, Bst1­associated ceRNA (Pvt1­mmu­miR­181a­Bst1) and co­expression (Pvt­Bst1) axes were also pivotal for MI. Accordingly, Pvt1 may be a crucial lncRNA for modification of cardiac remodeling in the IBZ after MI and may function by acting as a ceRNA for miR­181a to regulate TNF/Met/Itgam/Bst1 or by co­expressing with Bst1.