Single Factor Correlation Research Articles

Spatiotemporal Evolution of Ecological Environment Quality and Driving Factors in Jiaodong Peninsula, China

To monitor the Ecological Environment Quality (EEQ) of the Jiaodong Peninsula and provide a scientific basis for ecological environment governance and sustainable development in the region, this study evaluates the EEQ of Jiaodong using the Remote Sensing-based Ecological Index (RSEI) model and analyzes its spatiotemporal evolution patterns, building upon single-factor correlation analysis using the Random Sample Consensus (RANSAC) algorithm, using GeoDetector to analyze the driving mechanisms of human activities and natural factors in EEQ. The results indicate the following: (1) The average RSEI values for 2000, 2010, and 2020 are 0.60, 0.57, and 0.66, with Good or Excellent areas accounting for 56.48%, 51.02%, and 67.17%. From 2000 to 2020, RSEI strong improvement areas were predominantly distributed in the eastern hilly areas of the Jiaodong Peninsula. The RSEI of the Jiaodong Peninsula showed significant spatial autocorrelation. (2) The RANSAC algorithm effectively reduces noise interference in remote sensing data, thereby improving the accuracy of single-factor correlation analysis. (3) In 2000, the importance of natural factors exceeds that of human activity factors. The Standardized Precipitation Evapotranspiration Index (SPEI) is the most important driving factor; while in 2010 and 2020, human activity factors surpass natural factors in importance, with the Land Use Composite Index (LUCI) being the most significant driving factor. The driving factors exhibited double-factor and nonlinear enhancement. The most significant interaction factors affecting the EEQ of the Jiaodong Peninsula in 2000, 2010, and 2020 are SPEI∩GDP, LUCI∩SPEI, and LUCI∩GDP.

Captivity Shifts Gut Microbiota Communities in Plateau Zokor (Eospalax baileyi).

The gut microbiota in animals is a dynamic ecosystem influenced by both the host itself and the environment it inhabits. It is known that short-term captivity can significantly impact the gut microbiota of plateau zokors, leading to substantial inter-individual variation. However, the specific changes in the assembly process of the gut microbiota in plateau zokors during captivity remain unclear. In this study, we conducted a comparative analysis on the assembly process of the gut microbiota in 22 male plateau zokors from the same location in Qinglin Township, Datong County, Qinghai Province, before (W) and after (L) laboratory rearing. We performed a single-factor correlation network analysis on the top 50 genera with relative abundance in each group. The results revealed that captivity increased the complexity of the gut microbiota in plateau zokors, indicating a higher number of interactions between different microbial species. However, this increase in complexity was accompanied by a decrease in stability, suggesting a higher degree of variability and potential disruption in the microbial community. According to the results of the neutral community model, the gut microbiota of plateau zokors in the W had a higher Nm value (Nm = 48,135) compared to the L (Nm = 39,671), indicating that species dispersal of the gut microbiota was greater in the wild than in captivity. In the wild, the modified stochasticity ratio (MST) was less than 0.5, suggesting that deterministic processes dominated. However, after 15 days of laboratory rearing, the MST became greater than 0.5, indicating a shift toward stochastic processes, and this difference was highly significant (p < 0.001). This differs from research related to aboveground animals. This study provides theoretical support for the application of gut microbiota in subterranean endangered species.

Correlation between abnormal cellular immune and changes of magnetic resonance spectroscopy in patients with Alzheimer’s disease

BackgroundEvidence from previous studies indicates that neuroinflammation contributes to the onset of Alzheimer’s Disease (AD). Moreover, cellular dysfunction is induced by impaired signaling of neurotransmitters. This study aimed to explore the correlation between cellular immune dysfunction and neurotransmitter changes through cranial Magnetic Resonance Spectroscopy (MRS) in AD patients. MethodsHere, 32 AD, 40 Vascular Dementia (VD), and 35 Non-Dementia Elderly Control (NDE) cases were enrolled. Flow cytometry was performed to characterize lymphocyte subsets in plasma samples. The IL-1β and Caspase-1 levels were detected by ELISA. The NLRP3 expression level was measured by Western Blot (WB). The equivalence of N-acetylaspartate (NAA), Creatine (Cr), Choline (Cho), and Inositol (MI) in bilateral hippocampi of patients was examined by MRS. The association of NAA/Cr or MI/Cr ratios with the proportion of T lymphocyte subsets or NK cell subsets was determined through single-factor correlation analysis. ResultsThe proportion of T lymphocyte subsets was significantly lower in the AD group than in the NDE group (P < 0.01). On the other hand, the Caspase-1, NLRP3, and IL-1β protein expression levels were significantly higher in the AD group than in the other groups. Further analysis showed that the NAA/Cr ratio was lower in the AD group than in the NDE group. Additionally, a significant positive correlation was found between the NAA/Cr ratio and the MMSE score (r = 0.81, P < 0.01). Moreover, a significant positive correlation was observed between the NAA/Cr and T lymphocyte ratios. The NAA/Cr ratio was significantly negatively correlated with the proportion of NK cells in the blood (r = －0.83, P < 0.01). A significant negative correlation was also recorded between the MI/Cr and T cell ratios in blood samples. ConclusionsImpaired cellular immune dysfunction in AD patients was significantly correlated with abnormal MRS. Neuroimmune dysfunction may contribute to the pathogenesis of AD and alter the metabolism of neurotransmitters such as aspartic acid and MI in the brains of AD patients. Trial registrationNot applicable.

The post-discharge coping difficulty of puerperal women in a middle and low-income tourist city during the COVID-19 pandemic

BackgroundSince the coronavirus disease 2019 (COVID-19) pandemic outbreak, the incidence of mental health problems in perinatal women has been high, and particularly prominent in China which was the first country affected by COVID-19. This paper aims to investigate the current situation and the related factors of maternal coping difficulties after discharge during COVID-19.MethodsGeneral information questionnaires (the Perinatal Maternal Health Literacy Scale, Postpartum Social Support Scale and Post-Discharge Coping Difficulty Scale-New Mother Form) were used to investigate 226 puerperal women in the third week of puerperium. The influencing factors were analyzed by single factor analysis, correlation and multiple linear regression.ResultsThe total score of coping difficulties after discharge was 48.92 ± 12.05. At the third week after delivery, the scores of health literacy and social support were 21.34 ± 5.18 and 47.96 ± 12.71. There were negative correlations among health literacy, social support and coping difficulties after discharge (r = -0.34, r = -0.38, P < 0.001). Primipara, family income, health literacy and social support were the main factors influencing maternal coping difficulties after discharge.ConclusionDuring the COVID-19 pandemic, puerperal women in a low- and middle-income city had moderate coping difficulties after discharge and were affected by many factors. To meet the different needs of parturients and improve their psychological coping ability, medical staff should perform adequate assessment of social resources relevant to parturients and their families when they are discharged, so they can smoothly adapt to the role of mothers.

Analysis of spatial–temporal dynamic distribution and related factors of tuberculosis in China from 2008 to 2018

Through spatial–temporal scanning statistics, the spatial–temporal dynamic distribution of pulmonary tuberculosis incidence in 31 provinces and autonomous regions of China from 2008 to 2018 is obtained, and the related factors of spatial–temporal aggregation of tuberculosis in China are analyzed to provide strong scientific basis and data support for the prevention and control of pulmonary tuberculosis. This is a retrospective study, using spatial epidemiological methods to reveal the spatial–temporal clustering distribution characteristics of China's tuberculosis epidemic from 2008 to 2018, in which cases data comes from the China Center for Disease Control and prevention. Office Excel is used for general statistical description, and the single factor correlation analysis adopts χ2 Test (or trend χ2 Inspection). Retrospective discrete Poisson distribution space time scanning statistics of SaTScan 9.6 software are used to analyze the space time dynamic distribution of tuberculosis incidence in 31 provinces, cities and autonomous regions in China from 2008 to 2018. ArcGIS 10.2 software is used to visualize the results. The global spatial autocorrelation analysis adopts Moran's I of ArcGIS Map(Monte Carlo randomization simulation times of 999) is used to analyze high-risk areas, low-risk areas and high-low risk areas. From 2008 to 2018, 10,295,212 cases of pulmonary tuberculosis were reported in China, with an average annual incidence rate of 69.29/100,000 (95% CI: (69.29 ± 9.16)/100,000). The annual GDP (gross domestic product) of each province and city showed an upward trend year by year, and the number of annual medical institutions in each province and city showed a sharp increase in 2009, and then tended to be stable; From 2008 to 2018, the national spatiotemporal scanning statistics scanned a total of 6 clusters, including 23 provinces and cities. The national high-low spatiotemporal scanning statistics of the number of pulmonary tuberculosis cases scanned a total of 2 high-risk and low-risk clusters. The high-risk cluster included 8 provinces and cities, and the low-risk cluster included 12 provinces and cities. The global autocorrelation Moran's I index of the incidence rate of pulmonary tuberculosis in all provinces and cities was greater than the expected value (E (I) = −0.0333); The correlation analysis between the average annual GDP and the number of pulmonary tuberculosis cases in each province and city from 2008 to 2018 was statistically significant. From 2008 to 2018, the spatial and temporal scanning and statistical scanning areas of tuberculosis incidence in China were mainly concentrated in the northwest and southern regions of China. There is an obvious positive spatial correlation between the annual GDP distribution of each province and city, and the aggregation degree of the development level of each province and city is increasing year by year. There is a correlation between the average annual GDP of each province and the number of tuberculosis cases in the cluster area. There is no correlation between the number of medical institutions set up in each province and city and the number of pulmonary tuberculosis cases.

Plasma Lipoprotein-Associated Phospholipase A2 Affects Cognitive Impairment in Patients with Cerebral Microbleeds.

The plasma lipoprotein-associated phospholipase A2 (Lp-PLA2) is an inflammatory biomarker of cerebral microbleeds (CMBs) and may be related to the occurrence, development, and prognosis of cognitive impairment. The present study aimed to investigate the impact of plasma Lp-PLA2 level on the cognitive impairment in patients with CMBs. In this study, 213 patients with CMBs confirmed by 3.0 T brain magnetic resonance imaging (MRI) were analyzed. Lp-PLA2 levels were determined by magnetic particle chemiluminescence immunoassay technology, and cognitive function was assessed using the Montreal Cognitive Assessment Scale (MoCA). The cognitive functions of patients with CMBs were divided into three groups according to the MoCA scale, including normal cognition (NC), mild cognitive impairment (MCI), and moderate-severe cognitive impairment (MSCI). Clinical, laboratory and radiological data of the three groups were analysed. The relationship between plasma Lp-PLA2 and MoCA score in patients with CMBs was investigated through rank correlation analysis and multivariate regression analysis, and receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of Lp-PLA2. CMBs were detected in 213 (30.2%) of 705 patients who underwent 3.0 T MRI. Multiple comparisons showed that plasma Lp-PLA2 in patients with CMBs with normal cognitive scores was significantly lower than that in the other two groups with cognitive impairment (p < 0.05). In the single factor correlation analysis, high level of plasma Lp-PLA2 was negatively correlated with the decrease of MoCA score in patients with CMBs (r =-0.389, p < 0.01). Multivariate regression analysis showed that high plasma Lp-PLA2 was an independent risk factor for a low MoCA score in patients with CMBs (odds ratio [OR]=1.014; 95% confidence interval [CI], 1.002-1.026; p=0.025). A high level of plasma Lp-PLA2 is positively correlated with the generation of cognitive impairment in patients with CMBs and negatively correlated with the degree of impairment. Plasma Lp-PLA2 is an important indicator of cognitive impairment in patients with CMBs and may provide a therapeutic target for preventing CMB-induced cognitive impairment.

Development of a PLSR-BRT Model for Predicting the Performance of Tunnel Boring Machines

Scientific prediction of the penetration rate (PR) of tunnel boring machines (TBMs) is of great significance to the selection of tunnel construction methods, the prediction of construction progress, and the evaluation of benefits. In view of the high nonlinearity, fuzziness, and complexity of the TBM excavation process, this paper attempts to present a new algorithm that integrates partial least squares regression (PLSR) with boosted regression trees (BRT) for predicting the PR of TBMs. For this purpose, 150 datasets were obtained from the Lanzhou water conveyance tunnel project in China. Six impact factors were selected as the input layers of the proposed model by single-factor correlation analysis. To develop the PLSR-BRT model, two principal components of the influencing parameters were extracted via the PLSR method, and the BRT algorithm was employed to establish the predictive model. In addition, other models such as PLSR back propagation neural network (BPNN), BRT, PLSR, support vector regression (SVR), and artificial neural network (ANN) were adapted for use in this problem to verify the predictive accuracy of the proposed model. The results demonstrated that the PLSR-BRT model achieved the best predictive performance compared with the other models, with coefficient of determination value (R2) and root mean square error (RMSE) of 0.96 and 1.78, respectively, for the testing set. The PLSR-BRT model can maximally avoid both overfitting and inadequate fitting. In view of engineering applications, the complexity and redundancy of the field dataset can be solved via reducing the dimensionality of input parameters, and the training samples could be expanded by a boosted method so that the discontinuously acquired geological parameters are unable to restrain the model performance. This method serves as an effective approach for TBM PR prediction and has excellent potential for a variety of scientific and engineering applications.

The Influence of Stand Structure on Understory Herbaceous Plants Species Diversity of Platycladus orientalis Plantations in Beijing, China

Species diversity is a crucial index used to evaluate the stability and complexity of forest ecosystems. Studying the relationship between stand structure and understory herbaceous plants species diversity is useful for managers to formulate the best forest structure optimization method with the goal of improving herbaceous species diversity. In this research, Platycladus orientalis plantations in Beijing were taken as the research object. Pearson’s correlation analysis was used to explore the single-factor correlation between stand structure and understory herbaceous plants species diversity; furthermore, a typical correlation analysis and multiple linear regression were used to explore the multi-factor correlation and analyze the dominant stand structure parameters affecting understory herbaceous plants species diversity. In the range of stand structures studied, the results showed that canopy density was negatively correlated with the Shannon–Wiener index and Simpson index (p &lt; 0.01), and tree density was negatively correlated with the Shannon–Wiener index (p &lt; 0.05). In terms of stand spatial structure, the mingling degree was positively correlated with the Shannon–Wiener index, Simpson index, Margalef richness index and Pielou evenness index (p &lt; 0.05), while the uniform angle was negatively correlated with the Pielou evenness index (p &lt; 0.05). The correlation coefficient of the first group of typical variables in the typical correlation analysis was 0.90 (p &lt; 0.05); from this group of typical variables, it can be concluded that canopy density is the most influential indicator affecting the comprehensive index of understory herbaceous plants species diversity, with a load of −0.690, and the Shannon–Wiener index and Simpson index are the most responsive indicators of changes in the comprehensive index of stand structure, with loads of 0.871 and 0.801, respectively. In the process of the management of Platycladus orientalis plantations under a low altitude, south slope, thin soil layer and hard soil parent material, in order to improve the herbaceous species diversity, the canopy density of the overstory and tree density should be appropriately reduced. Additionally, it is necessary to regulate the horizontal spatial structure of stands. When the trees are randomly distributed and the mingling degree is high, the species diversity of herbs can be increased.

Study on the factors related to the willingness of nurses to take care of emerging infectious diseases in designated emergency hospitals in Taipei

&lt;p&gt;目的：探討台北區指定應變醫院護理人員對新興傳染病照顧意願相關因素。方法：為橫斷性研究設計，於2021年7至8月對台北區應變（區域）醫院執業滿三個月之臨床護理人員共255位進行結構式問卷調查，包含個人屬性資料、護理人員專業承諾量表、自我效能量表、照顧態度量表及照顧意願以單因子變異數分析、相關係數與迴歸進行資料分析。結果：護理人員對於新興傳染病的照顧意願得分平均為6.7（標準差為2.55）其中與工作單位及是否有參與實務演練課程有統計上顯著差異；而護理人員專業承諾與照顧意願（相關係數為0.26，p＜.01）、自我效能與照顧意願（相關係數為=0.20，p＜.01）、照顧態度中的行為信念與照顧意願（相關係數為0.30，p＜.01）、照顧態度中的結果評價與照顧意願（相關係數為0.27，p＜.01）皆呈現低度正相關。廻歸分析結果，控制人口學變項後工作單位、專業承諾、照顧態度之行為信念構面，能一同解釋研究對象意願總變異量34.2%且皆達統計顯著差異。結論：護理人員六成以上都有照顧意願但研究發現其專業承諾量表平均值3.34較低（使用五分制），現今醫療及照護環境迅速改變，醫院面臨健保給付及護理人員流動或畢業後不想從事護理工作之問題，研究發現工作滿意度與專業承諾有正相關，而且工作滿意度與專業承諾的得分高低也隱含護理人員離開組織或是專業職場的預測力，且以目前世代之同仁重視歸屬感及希望被重視，積極提供護理人員成長空間與機會並同理工作表現給予適度的激勵及支持環境以提昇忠誠度及穩定度，促使護理人員有繼續為護理專業努力的意願。&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Objective: To evaluate on the factors related to the willingness of nurses to take care of emerging infectious diseases in designated emergency hospitals in Taipei. Methods: Designed for a cross-sectional study, a structured questionnaire survey was conducted on a total of 255 clinical nursing staffs who had been practicing for three months in a designated (regional) hospital in Taipei from July to August 2021, in-cluding demographic attributes and nursing staff The professional commitment scale, self-efficacy scale, care attitude scale, and willingness to care were analyzed by single factor variance analysis, correlation coefficient and regression. Results: The average score of nursing staff&amp;rsquo;s willingness to care for emerging infectious diseases was 6.7 (standard deviation 2.55), which was statistically significantly different from their work units and whether they had participated in practical training courses; while nurses&amp;rsquo; professional commitment and willingness to care (r = 0.26，p＜.01), self-efficacy and willingness to care (r = 0.20, p＜.01), behavioral beliefs and will-ingness to care (r =0.30, p＜.01) in care attitudes, results in care attitude Both evalua-tion and willingness to care (r =0 .27, p＜.01) showed a low degree of positive corre-lation. Based on the analysis results, the behavioral belief dimensions of work unit, professional commitment, and care attitude after controlling for the demographic changes can explain 34.2% of the total variation of the study subjects’ willingness and all reach statistically significant differences. Conclusion: More than 60% of nursing staff have the willingness to take care, but the study found that their professional commitment scale average is low as 3.34 (by Liker’s method). Nowadays, the medical and nursing environment is changing rapidly. The hospital is facing the problem of health insurance payment and nursing staff turnover or not wanting to engage in nursing work after graduation. The study found that job satisfaction and professional commitment are positively correlated, and the scores of job satisfaction and profes-sional commitment also imply the predictability of nursing staff to leave the organiza-tion or professional workplace. In view of the current generation’s emphasis on be-longing and the desire to be valued, nursing staff are actively provided with space and opportunities for growth and are given appropriate motivation and support environ-ment to enhance their loyalty and stability in line with their performance, which will encourage nursing staff to continue to work hard for the nursing profession.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;

Effect of Biodegradable Packaging on the Shelf-Life of Pasteurised Whole Egg Mass

Abstract The aim of this study was to determine the effect of two types of packaging on the change in quality indicators of pasteurised liquid egg mass. Traditionally, the shelf-life of pasteurised liquid egg mass is up to 28 days. The increase in shelf-life would increase the exportation options of this product. The liquid egg mass was pasteurised on the equipment Ovobel AR56SH; the pasteurisation process continued for 60 minutes, reaching a maximum temperature from 65 °C to 68 °C (hold time: 360 seconds). This paper focuses on two main packaging materials: high-density polyethylene (HDPE) and Tetra Rex® Bio-based. Forty-two samples of each packaging material were used to study the contents. Changes in the quality of samples during storage were estimated by measuring the total bacterial count (CFU/g) from 200 at the start of shelf-life up to 30×105 units (LVS ISO 4833-1:2014). Data in the test was explored with Anova: Single Factor statistical model and correlation method. Data that was obtained emphasises the importance of packaging type, which could provide stable quality of ready-to-use products for a duration of up to forty-five days.

Exploring Factors and Strategies to Promote Chinese Elders’ Physical Activity

This study was designed to explore factors and strategies to promote Chinese elders’ physical activity and cultivate healthy lifestyles. We collected the CHARLS survey 2011 baseline data, and selected 2647 cases of the elderly population in China. Based on the social ecosystem theory, the univariate analysis and ordered logistic regression were used. The model was analyzed for multivariate analysis. In the present study, the appropriate IRB approval has been obtained from Peking University. The theory of social ecology believes that individual behavior is influenced individual factors, inter-individual factors, organizational factors, community factors and policy factors. This article used the gender, age, marriage, education, and self-assessment of health status in the survey results as independent variables of individual factors, used whether to provide care for grandchildren, the frequency of participation in social activities as independent variables of inter-individual factors, used whether there are organizations that assist the elderly, the weak, the disabled population and whether there are elderly associations as the independent variables of organizational factors, then uses whether there is geriatric health service center as an independent variable of community factor. In this paper, physical activity participation intensity was used as the dependent variable, and single factor correlation analysis was performed with each independent variable. The other nine chi-square test significant independent variables except for age were included in the multiple regression model. The results showed that compared with other marital status, the physical activity intensity of the elderly population with spouses living together is greater; the elderly population who has better self-rated health scores and has higher social frequency, has stronger physical activity intensity; the elderly population who has geriatric health care service centers in their residence has stronger physical activity intensity. The following suggestions to promote health of Chinese elderly population can be made: the elderly population should establish their own awareness of health care and exercise; the children of the elderly population should strengthen their care for the elderly population; the community pension service organizations should take the initiative to play an active role to care the elderly population; the elderly population residence should strengthen the supporting hardware facilities.

Perioperative Hidden Blood Loss in Lumbar Disk Herniation Patients With Percutaneous Endoscopic Transforaminal Discectomy and Influencing Factors.

This was a retrospective study. This study aimed to evaluate hidden blood loss (HBL) and its influencing factors in lumbar disk herniation (LDH) patients treated with percutaneous endoscopic transforaminal discectomy (PETD). PETD is a minimally invasive spine surgery and is widely used to treat LDH. It is generally believed that there is less bleeding during PETD. However, HBL during the perioperative period is always ignored. From January 2018 to March 2021, 74 LDH patients treated with PETD was selected. The patient's sex, age, height, weight, previous medical history (hypertension and diabetes) and other basic information were recorded. The preoperative fibrinogen (FIB) level, activated partial thromboplastin time and prothrombin time were recoded. The hemoglobin, hematocrit, and platelet immediately after admission and the next day postoperative were recorded. The surgical time, intraoperative blood loss, intervertebral disk degeneration grade and soft tissue thickness of the PETD approach were recorded. The total blood loss was calculated according to the Gross formula, and then HBL was calculated based on total blood loss and visible blood loss (VBL). The influencing factors were analyzed by single factor correlation analysis and multivariate linear regression analysis. Among the 74 patients, there were 34 males (20-68 y old) and 40 females (26-75 y old). The mean amount of VBL was (85.04±26.53) mL and HBL was (341.04±191.15) mL. There were statistically significant differences between HBL and VBL (P=0.000). Multiple linear regression analysis showed that sex (P=0.000), disk degeneration grade (P=0.000), preoperative FIB level (P=0.022) and preoperative platelet (P=0.026) were independent risk factors that contributed to HBL, but age (P=0.870), BMI (P=0.480), hypertension (P=0.867), diabetes (P=0.284), soft tissue thickness (P=0.701), preoperative prothrombin time (P=0.248) and preoperative activated partial thromboplastin time (P=0.521) were not. There was a large amount of HBL during the perioperative period of PETD in patients with LDH. Sex, disk degeneration grade, preoperative FIB level and preoperative platelet are the independent risk factors of HBL in the perioperative period of PETD. More attention should be paid to the patients with risk factors to ensure perioperative safety.

Correlation between emotional intelligence and negative emotions of front‐line nurses during the COVID‐19 epidemic: A cross‐sectional study

The purpose of this study was to understand the emotional intelligence level (EI) and negative emotional status of the front-line nurses in the epidemic situation and to further explore the relationship between them. During the COVID-19 epidemic, under the influence of multiple factors, nurses were vulnerable to negative emotions. While previous studies have explored, the role of emotional intelligence in negative emotions, the relationship between the two has not been sufficiently discussed in the context of COVID-19. The study carried out a cross-sectional survey. The STROBE was selected as the checklist in this study. 202 nurses from Wuhan makeshift hospital participated in the questionnaire survey. Data collection tools included a general data questionnaire designed by the researchers, Chinese version of EI scale (WLEIS-C) and Chinese version of Depression Anxiety Stress Scale (DASS-21). Descriptive statistics, single factor analysis and correlation analysis were used to analyse the data. The emotional intelligence of the front-line nurses was in the upper middle range. Among the negative emotions, anxiety was the most prominent symptom. Managers should pay attention to the negative emotional problems of front-line nurses, improve their EI level and promote mental health and the progress of epidemic prevention. Improving the level of emotional intelligence can reduce the frequency and intensity of negative emotions. In clinical work, emotional intelligence can be used as a skill to carry out relevant training, which is conducive to playing a positive role in future emergencies.

Perioperative Hidden Blood Loss in Elderly Osteoporotic Vertebral Compression Fracture Patients With Percutaneous Vertebroplasty and Influencing Factors.

Introduction:To analyze perioperative hidden blood loss (HBL) and its influencing factors in elderly patients with osteoporotic vertebral compression fracture (OVCF) treated with percutaneous vertebroplasty (PVP).Materials and Methods:From January 2016 to December 2018, 103 elderly patients with OVCF (age > 85 years) treated with PVP were selected. The patient’s height, weight, duration of symptoms, previous medical history and other basic information were recorded. The hemoglobin (Hb) and hematocrit (Hct) immediately after admission and the next day postoperative were recorded. The operation time, surgical bleeding, Kummell’s disease, vertebral height preoperative and postoperative, and bone cement leakage was recorded. The total blood loss (TBL) was calculated according to Gross’s formula, and HBL was calculated based on the TBL and surgical bleeding. The influential factors were analyzed by multivariate linear regression analysis and single factor correlation analysis.Results:The mean surgical bleeding was 11.83 ± 5.37 mL, and HBL was 306.19 ± 185.92 mL, with a statistically significant difference (P = 0.000). According to the multiple linear regression analysis, the duration of symptoms (P = 0.030), number of fracture segments (P = 0.016), operation time (P = 0.004), loss of vertebral height (P = 0.026), recovery of vertebral height (P = 0.004), Kummell’s disease (P = 0.040) and cement leakage (P = 0.004) were correlated with an increased amount of HBL. Sex (P = 0.077), body mass index (BMI) (P = 0.486), hypertension (P = 0.734), diabetes (P = 0.769), fracture level (P = 0.518) and surgical bleeding (P = 0.821) had no correlation with the amount of HBL.Conclusions:There was obvious HBL during the perioperative period of PVP in elderly patients with OVCF. A fresh fracture, multi-segment vertebral fracture, longer operation time, presence of Kummell’s disease, loss of vertebral height, recovery of vertebral height and cement leakage the increased perioperative HBL during PVP.

Correlation Research of TBM Tunnel Rock Mechanical Characteristics, Chiseling Specific Energy, and Abrasion Performance: Case Study of Jiaozhou Bay Subsea Tunnel in Qingdao

This paper takes Qingdao Jiaozhou Bay subsea tunnel project as the research object to study the relationship among rock mechanical parameters and chiseling specific energy and abrasion performance. SPSS22 was used to analyze the correlation between the parameters. The results show that except for the low correlation with Poisson ratio, all the other parameters in the single factor correlation analysis have high R . By taking the chiseling specific energy and abrasion performance as dependent variables, taking each mechanical parameter as an independent variable, multifactor regression analysis and stepwise multifactor fitting were carried out; it was concluded that the abrasion performance was highly correlated with uniaxial compressive strength and integrity coefficient, and the chiseling specific energy is highly correlated with uniaxial compressive strength and softening coefficient. In the process of verifying the fitting models, it is found that, under the influence of quartz vein and microfissure in the specimens, the chiseling specific energy formula has a higher fitting value, while the fitting formula of abrasion performance has a higher reference value for the specimens in the study area.

Anxiety of Nurses to support Wuhan in fighting against COVID-19 Epidemic and its Correlation With Work Stress and Self-efficacy.

We aimed to investigate the anxiety of nurses who are supporting Wuhan in fighting against coronavirus disease 2019 (COVID-19) infection and explore relevant influencing factors. The COVID-19 outbreak poses a major threat to public health worldwide. Nurses play an important role in this epidemic. However, available data on the mental health among these nurses are limited. A descriptive, cross-sectional survey was performed. An online questionnaire was completed by 200 nurses who went to Wuhan to help to fight against COVID-19 from another province. Data collection tools include the Chinese version of the Stress Overload Scale (SOS), the Self-Rating Anxiety Scale (SAS) and General Self-Efficacy Scale (GSES). Descriptive, single-factor correlation and multiple regression analyses were used in exploring related influencing factors. Reporting followed the STROBE guidelines. The scores of SAS, SOS and GSES range from 20 to 80, 22 to 110 and 10 to 40, respectively, and the SAS (31.79±7.32) and SOS (40.19±12.92) and GSES scores (24.83±6.60) were obtained. Anxiety was positively correlated with stress (r=.679, p<.001) but negatively correlated with self-efficacy (r=-.326, p<.001). Multiple regression analysis showed that professional qualification, sleep, stress and self-efficacy were the main factors affecting nurse anxiety (p=.006, <.001, <.001, .039, respectively). Nurses who are supporting Wuhan in fighting against COVID-19 were under a low level of anxiety. The current study suggests work stress reduction might be a key factor in reducing anxiety and maintaining mental health to support nurses who are fighting against COVID-19 infection.

Psychological status of the staff in a general hospital during the outbreak of coronavirus disease 2019 and its influential factors.

To understand the psychological status of the staff in a general hospital during the coronavirus disease 2019 and its influential factors, and to provide references for the mental health services to hospital staff. Using star platform of questionnaire, the staff in the general hospital were investigated via Depression, Anxiety, Stress Scale (DASS-21), Social Support Rating Scale (SSRS) and Simplified Coping Style Questionnaire (SCSQ). The influential factors were discussed by descriptive analysis, rank sum test, single factor analysis, correlation analysis and multiple factors binary logistic regression analysis. A total of 2 060 valid questionnaires were collected. The negative emotions of nurses and cleaners were the most obvious. The depression scores, anxiety scores and stress scores for nurses and cleaners were 5.06±7.47, 6.36±7.84, 9.75±8.65, and 6.72±8.84, 4.51±6.56, 9.69±9.56, respectively. Multivariate binary logistic regression analysis showed that staff types, education levels, job status, economic situation and concerns on the supplies of protective goods were the main influential factors for depression; staff types, contacting status with infected patients, economic situation, concerns on the supplies of protective goods, history of disease were the main influential factors for anxiety; contacting status with infected patients, economic situation, concerns on the supplies of protective goods were the main influential factors for stress. There are differences in psychological characteristics among different groups of staff in the general hospital under the outbreak. Thus psychological protection and intervention measures should be formulated according to different groups and work status.

Determining attitudes of a group of nurses working in the northern region of Turkey towards LGBT individuals

Purpose: The aim of this study was to determine the attitudes of a group of nurses towards lesbian, gay, bisexual and transgender individuals. Materials and methods: This cross-sectional study was carried out with 358 nurses working in a hospital in the northern region of Turkey between December 2016- February 2017. The data were collected using the personal information form and the Hudson and Ricketts Homophobia Scale. Kruskal Wallis, Mann Whitney U test, Single Factor Variance Analysis, ttest and correlation were used in the analysis of the data. Ethical approval was obtained from the Clinical Research Ethics Committee of an university. Results: The mean score of the scale of the nurses was found as 111.5±20.7. Nurses who stated that they did not want to communicate with lesbian, gay, bisexual and transgender people were found to be more homophobic than the nurses who stated that they wanted to communicate with them. It was also found that the nurses who define themselves as ‘traditional’ were more homophobic than those who define themselves as ‘not traditional’ (p &lt;0.05).The relationship between the nurses' knowledge towards lesbian, gay, bisexual and transsexual individuals and their attitudes towards these individuals was found to be significant similar to the previous international studies. Conclusions: The findings of this study indicate that the level of education, the level of acquaintance with LGBT individuals and the knowledge of LGBT individuals has an effect on the homophobic attitude

Work stress among Chinese nurses to support Wuhan in fighting against COVID-19 epidemic.

AimsTo investigate the work stress among Chinese nurses who are supporting Wuhan in fighting against Coronavirus Disease 2019 (COVID‐19) infection and to explore the relevant influencing factors.BackgroundThe COVID‐19 epidemic has posed a major threat to public health. Nurses have always played an important role in infection prevention, infection control, isolation, containment and public health. However, available data on the work stress among these nurses are limited.MethodsA cross‐sectional survey. An online questionnaire was completed by 180 anti‐epidemic nurses from Guangxi. Data collection tools, including the Chinese version of the Stress Overload Scale (SOS) and the Self‐rating Anxiety Scale (SAS), were used. Descriptive single factor correlation and multiple regression analyses were used in exploring the related influencing factors.ResultsThe SOS (39.91 ± 12.92) and SAS (32.19 ± 7.56) scores of this nurse group were positively correlated (r = 0.676, p < .05). Multiple regression analysis showed that only children, working hours per week and anxiety were the main factors affecting nurse stress (p = .000, .048, .000, respectively).ConclusionsNurses who fight against COVID‐19 were generally under pressure.Implications for Nursing ManagementNurse leaders should pay attention to the work stress and the influencing factors of the nurses who are fighting against COVID‐19 infection, and offer solutions to retain mental health among these nurses.

Influence of heart rate control on exercise capacity and quality of life in patients with permanent atrial fibrillation

BackgroundThe optimal level of heart rate (HR) control in patients with atrial fibrillation (AF) is unknown. To assess the effect of rate control on cardiopulmonary exercise capacity and quality of life (QoL) in permanent AF.MethodsOne hundred forty-three patients with permanent AF were enrolled in this study. All patients received rate control medications and were followed up for 1 year. After 1-year therapy, the exercise capacity and QoL were evaluated by cardiopulmonary exercise testing (CPET) and 36-item Short-Form Health Survey, respectively. Data were compared by dividing the patients according to the following criteria: (1) whether the resting HR was ≤80 or > 80 bpm; (2) whether the exercise HR during moderate exercises on CPET was ≤110 or > 110 bpm; and (3) whether the resting HR was ≤80 bpm and exercise HR was ≤110 bpm.ResultsNo significant differences in peak oxygen uptake, peak metabolic equivalent, and anaerobic threshold were found between the strict control and lenient control groups. Both physical component summary (PCS) and mental component summary (MCS) were significantly higher for the strict rate control group than for the lenient control group. The single-factor correlation analysis revealed a negative correlation between resting HR and both PCS and MCS. The multivariable linear regression analysis indicated that both exercise HR and duration of AF linearly correlated with PCS and MCS.ConclusionsTherefore, in patients with permanent AF, exercise capacity may not be affected by the stringency of rate control, and strict rate control may be associated with better QoL.