Sleep disorders are highly prevalent in pregnant people and have been associated with significant complications and morbidities for both pregnant people and their offspring. Despite this, the management of sleep issues during pregnancy remains suboptimal. There is an urgent need to explore novel treatment approaches that are safe, feasible, and widely implementable in daily routines. Given the demonstrated positive effects of physical activity (PA) on sleep in non-pregnant populations, PA interventions are a promising option. This meta-analysis was performed to evaluate the association between PA interventions and sleep disorders in pregnant people. A systematic search of seven databases was conducted for English and Chinese articles published from inception to January 2024 using MeSH headings and keywords for ‘sleep disorder’, ‘pregnancy’, ‘physical activity’, and ‘randomized controlled trial’. Two independent researchers selected studies assessing the effects of PA interventions on sleep disorders in pregnant people compared with a control condition. Data extraction was performed independently by two reviewers, and quality was assessed using the Cochrane Risk of Bias V1.0 tool. A random-effects model was applied for the meta-analysis, with results reported as standardised mean difference (SMD) and 95% confidence interval (CI). Eighteen studies involving 1,541 pregnant people were included, with 14 studies included in the meta-analysis. The results suggested that PA interventions were associated with a reduction in sleep disorders compared with the control condition (SMD = − 1.48, 95% CI = − 2.06 to − 0.90, P < 0.00001; night sleep MD = 0.52, 95% CI = 0.42 to 0.62, P < 0.00001; proportion of night sleep time MD = 5.65, 95% CI = 4.78 to 6.52, P < 0.00001). Subgroup analyses indicated that intervention characteristics (e.g., less than 8 weeks and more than 60 min at a session, individual or group settings, location, and activity type such as water-based exercise, progressive muscle relaxation, and aerobics) and participant characteristics (with or without complications) influenced the overall treatment effect. This meta-analysis demonstrates that PA interventions positively impact sleep disorders in pregnant people, with effects influenced by participant type, duration, delivery method, and activity form. These findings provide valuable insights for healthcare professionals and hold significant implications for developing comprehensive, evidence-based guidance.

Objectives: The aim of the study was to develop a nursing-sensitive quality indicator system for emergency care of patients with severe trauma, providing a scientific measurement tool for evaluating the quality of emergency trauma nursing. Design: A modified Delphi study. Participants: Experts working in emergency surgery or trauma surgery departments were recruited. First, initial nursing-sensitive quality indicators were derived from an analysis and synthesis of existing evidence and semistructured interviews with 12 clinical experts. Subsequently, two-round expert consultations were conducted with 15 experts from various regions of China to refine and finalise the indicators. Finally, the analytic hierarchy process was used to determine the weights of each indicator. Results: The valid response rates of questionnaires in the two rounds of expert consultation reached 88.89% and 93.75%, respectively, and the expert authority coefficients were 0.856 and 0.880. The experts ultimately reached a consensus, establishing a nursing-sensitive quality indicator system for emergency care of patients with severe trauma, comprising 3 first-level indicators, 11 second-level indicators and 49 third-level indicators. Conclusions: This study provides a tool for the assessment of emergency nursing service quality for patients with severe trauma, establishing a scientific and effective nursing-sensitive quality indicator system to evaluate and improve the quality of nursing services provided by emergency nurses to patients with severe trauma.

The role of Ferroptosis in the course of sepsis-induced myopathy is yet unclear. The objective of our work is to identify key genes connected with Ferroptosis in sepsis-induced myopathy and investigate possible pharmaceutical targets related to this process. This research aims to provide new insights into the management of sepsis-induced myopathy. We got the GSE13205 dataset from the Gene Expression Omnibus (GEO) and extracted Ferroptosis-associated genes from the FerrDb database. After conducting a functional annotation analysis of these genes, we created a protein-protein interaction network using Cytoscape software to identify important genes. Subsequently, we employed CMap to investigate prospective pharmaceuticals that could target these crucial genes. A total of 61 genes that are expressed differently (DEGs) have been found concerning Ferroptosis. These genes are involved in a wide range of biological functions, including reacting to signals from outside the cell and the availability of nutrients, programmed cell death, controlling apoptosis, and responding to peptides, chemical stressors, and hormones. The KEGG pathway study revealed that these pathways are involved in Ferroptosis, autophagy, P53 signaling, PI3K-Akt signaling, mTOR signaling, HIF-1 signaling, endocrine resistance, and different tumorigenic processes. In addition, we created a network that shows the simultaneous expression of important genes and determined the top 10 medications that have the potential to treat sepsis-induced myopathy. The bioinformatics research undertaken sheds insight into the probable role of Ferroptosis-associated genes in sepsis-induced myopathy. The identified critical genes show potential as therapeutic targets for treating sepsis-induced myopathy, offering opportunities for the development of tailored medicines.

Fever clinic nurses act as a frontline “sentinel” in the surveillance and control of respiratory infectious diseases; however, more than three

Virtual reality training can save resources and improve training efficiency. The cooperation of trauma team can shorten the treatment time and improve the treatment efficiency. This study employed a quasi-experimental design to evaluate standardized trauma team performance scores among emergency nurses following VR training. Participants included 68 emergency department nurses from a tertiary Grade A hospital in Wuhan, China, who were divided into 17 groups (4 members per group) through convenience sampling. All teams underwent training using a virtual reality training system developed by the research team. Paired-sample t-tests were conducted to compare differences in standardized trauma team performance scores across all 17 groups between pre-intervention (March-May 2023) and post-intervention (September-November 2023) periods. Subsequently, qualitative research was implemented using semi-structured interviews to capture participants’ experiential feedback regarding the VR training system. Compared to traditional training, the use of the VR training system resulted in significantly enhanced teamwork performance among emergency nurses during simulated trauma first aid scenarios. Interview results indicated that the system’s novel format deepened professional understanding, conserved resources, increased practice opportunities, and enhanced the efficiency of trauma first aid nursing training. Moreover, it facilitated multi-role experiences, facilitating teamwork exercises. The Virtual Reality training system for trauma first aid nursing teamwork enhances emergency nurses’ comprehensive trauma care capabilities, improves trauma training effectiveness, and is worthy of clinical promotion.

Objective This study aims to explore the associations between physical activity, sleep quality and cardiovascular metabolism indicators among nurses of a top-tier Grade III Class A Chinese hospital. Methods Conducting convenience sampling method to recruit nurses(N = 508) who underwent physical examination in a Class Ⅲ Grade A hospital in Wuhan from April 2023 to May 2023 as the research objects. The general information questionnaire, International Physical Activity Questionnaire-Long Version (IPAQ-L), Pittsburgh Sleep Quality Index (PSQI) and cardiovascular metabolism indicators questionnaire were used in the survey. The data obtained were analyzed by SAS9.4 software. Statistical methods included descriptive analysis, comparison between groups, Spearman correlation analysis and robust linear regression analysis. Results The interaction terms between sleep quality (> 5, ≤ 5) and metabolic equivalent of leisure-time physical activity were statistically significant in TG, HDL and WHR (P <0.05), indicating that sleep quality played a moderating role in the effect of metabolic equivalent of leisure-time physical activity on TG, HDL and WHR. Conclusions The total amount of physical activities performed by nurses in a Grade III Class A Chinese hospital is relatively high, and the majority are Occupational physical activities. Our research indicates that sleep quality moderates the effect of leisure-time physical activity on these cardiovascular metabolism indicators. Clinical practice and public health strategies should pay special attention to lifestyle interventions in nurses with poor sleep quality, especially increasing their leisure-time physical activity, to prevent and manage cardiovascular disease risk more effectively. Future studies should aim to clarify the complex interrelationships between sleep and cardiovascular metabolism indicators.