Factors affecting nurses' emergency competencies in public health emergency: A cross-sectional study based on the stress-coping adaptation model.

OBJECTIVES: To investigate the factors associated with stress, resilience, coping styles, and emergency competencies when nurses are faced with a public health emergency. DESIGN: This study used a cross-sectional design. SAMPLE: Study data came from a survey of 646 nurses who were from a tertiary hospital in Southern China in March-June 2022. METHODS: Participants responded to self-report questionnaires through a web-based survey. Stress, resilience, emergency competencies, and response to public emergencies were assessed using the Perceived Stress Scale, Connor-Davidson Resilience Scale, the core competencies of nurses in public health emergencies, and a simplified coping style questionnaire. RESULTS: A total of 646 nurses participated in this study. Slightly over half of the participants were ≤30 years old, and almost all were female. Resilience, positive coping, and negative coping were positively correlated with emergency competencies. Multiple linear regression analysis demonstrated that resilience, working years, and participation in the treatment of infectious diseases were significant predictors of emergency competencies. CONCLUSION: The findings suggest that nurses require additional training in emergency management and clinical practice to enhance their emergency competencies. More interventions and social support should be provided to improve nurses' resilience and positive coping strategies when they encounter public health emergencies.

Association of perceived stress and sleep quality among medical students: the mediating role of anxiety and depression symptoms during COVID-19.

COVID-19 has intensified the influence on medical students by changing the lifestyle, online study and clinical practice which bring out series of stress, sleep disturbance and mental health problems. This cross-sectional study aim to explore the association between perceived stress and sleep quality among medical students and investigated whether anxiety and depression mediated this association during pandemic. A total of 1,021 medical students in two universities who were from Guangdong Province, China participated this study and from January to September 2020 through the online question are, with 28.80% reporting sleep disturbances. The medical students were finished various self-reported questionnaires, including the Perceived Stress Scale-10, Pittsburgh Sleep Quality Index, Generalized Anxiety Disorder-7 Scale, and Patient Health Questionnaire-9, the study found positive correlations among sleep quality, perceived stress, anxiety, and depression. The data was analyzed with The Amos 26.0 system. Result demonstrated that perceived stress was associated with poor sleep quality. Anxiety and depression partially mediated the association between perceived stress and poor sleep quality, explaining 73.08% of the association. This study's structural equation model offers a useful framework for assessing mechanisms mediating associations between perceived stress and sleep quality. The findings emphases the importance of addressing psychological factors in high-pressure situations, which can exacerbate sleep disturbances among medical students. It is important to screen the level of stress, mental health problems and investigate the risk factors of sleep quality among medical students during emergency public health events.

Effect of case management based on Omaha system on clinical symptoms and quality of life of coronary heart disease patients after percutaneous coronary intervention.

To investigate the effect of case management (CM) based on the Omaha system on clinical symptoms and quality of life (QOL) of coronary heart disease patients after percutaneous coronary intervention (PCI). Patients with coronary heart disease after their first PCI in the People's Hospital of Longhua in Shenzhen were randomly divided into a control group (received CM based on the Omaha system) and an observation group (received routine nursing) using a random number table. Nursing problems and the knowledge-behavior-status (KBS) score of patients were evaluated on the day after surgery, on the day before discharge, at 5 weeks after discharge, and at 12 weeks after discharge. The QOL of patients was evaluated using the coronary intervention coronary revascularization outcome questionnaire (CROQ-PTCA-Post, Chinese version) score on the day after surgery and at 12 weeks after discharge. A total of 104 patients completed the study (51 in the control group, 53 in the observation group). There were no significant differences in baseline data between the 2 groups (P gr.05). The main nursing problems were circulation, mental health, and pain in both groups on the day after surgery, whereas they were circulation, sleep and rest, and mental health after nursing. There were no significant differences in the KBS scores of the co-existing nursing problems on the day after surgery (P Th.05). The KBS scores of the co-existing nursing problems were significantly increased between the 2 groups (P < .01) on the day before discharge and at 5 weeks and 12 weeks after discharge. The KBS scores of the most co-existing nursing problems in the observation group were significantly higher at 12 weeks after discharge than at the day before discharge and at 5 weeks after discharge. Moreover, there were no significant differences in the CROQ-PTCA-Post scores on the first day after surgery between the 2 groups (P gr.05). These scores were significantly increased between the 2 groups at 12 weeks after discharge (P < .01). CM based on the Omaha system for patients after PCI can effectively improve the KBS scores and QOL of PCI patients with postoperative nursing problems, making this approach worthy of clinical promotion.

Gene-wide tagging study of the effects of common genetic polymorphisms in the α subunits of the GABA(A) receptor on epilepsy treatment response.

AIM: We aimed to identify the effect of SNPs in the α-subunits of GABAA receptors on epilepsy treatment outcomes by using a gene-wide tagging method. MATERIALS & METHODS: There were 720 epileptic patients included in the present study. A total of 136 tagging SNPs in GABRA1, GABRA2, GABRA3, GABRA4, GABRA5 and GABRA6 were genotyped by Illumina(®)GoldenGate(®) Genotyping platform. Clinical information, such as prescribed antiepileptic drugs, height, weight, epilepsy syndrome classification, etiology, number of attacks, renal function and liver function were collected. The associations between SNPs and epilepsy treatment outcomes were analyzed using SAS(®) version 9.1.3. Both multivariate logistic regression and multifactor dimensionality reduction analyses were performed. RESULTS: The results of single gene effects did not remain significant after Bonferroni's corrections. Further multivariate logistic regression and multifactor dimensionality reduction analyses of interactions between these genes showed that under adjustment of clinical factors, the epilepsy treatment outcomes were significantly associated with the genotype combinations of GABRA1 rs6883877, GABRA2 rs511310 and GABRA3 rs4828696 (p < 0.0001; adjusted r(2) = 0.149). CONCLUSION: Our results indicated that genetic variants in the α subunits of GABA(A) receptors may interactively affect the treatment responses of antiepileptic drugs. Further replication using an independent sample collection would be essential to confirm our findings.