scholarly journals Investigation on the Stress of Chinese Pediatricians Under the Outbreak of COVID-19

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Lan Yang ◽  
Bingbing Zhang ◽  
Xiaoxing Kong ◽  
Weifang Zhou ◽  
Jianmei Tian ◽  
...  
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Sleep Quality ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Perceived Stress ◽  
Physical Condition ◽  
Work Experience ◽  
Mental Stress ◽  
Professional Title

Background: The Coronavirus disease 2019 (COVID-19) pandemic has posed a severe threat to international health and the economy. Clinicians, the main staff involved in fighting against the pandemic, are under great pressure. However, relevant mental stress studies are lacking at present. Objectives: This study aimed to explore the mental stress level and its influencing factors among Chinese pediatricians under the outbreak of COVID-19, aiming to provide a certain theoretical basis for relevant psychological intervention among medical staff. Methods: In this cross-sectional study, 352 in-service pediatricians were selected from nine hospitals in Jiangsu province, China, in February 2020. The online survey was performed to collect general information. Meanwhile, the Perceived Stress Scale (PSS-10), Self-rating Anxiety Scale (SAS), and Pittsburgh Sleep Quality Index (PSQI) scale were employed for assessment. Afterward, the stress level and influencing factors among pediatricians were analyzed through descriptive analysis, one-way analysis of variance (ANOVA), correlation analysis, and multiple linear regression analysis. Results: The mean score of PSS-10 showed moderate stress on the whole. Pediatricians from outpatient and emergency departments had significantly higher perceived stress than those from other departments. The perceived stress was significantly associated with age, educational level, professional title, work experience, and physical condition. Stepwise multiple linear regression showed that age, professional title, and physical condition had a linear relationship with the individual’s perceived stress. Besides, Pearson correlation analysis indicated that perceived stress was associated with anxiety level and sleep quality. Conclusions: Under the outbreak of COVID-19, pediatricians suffer from relatively high levels of mental stress. The influencing factors include education, age, professional title, work experience, and physical condition. Typically, the anxiety level and sleep quality are correlated with the mental stress among pediatricians.

scholarly journals Evaluation of Anterior Chamber Volume in Cataract Patients with Swept-Source Optical Coherence Tomography

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Wenwen He ◽  
Xiangjia Zhu ◽  
Don Wolff ◽  
Zhennan Zhao ◽  
Xinghuai Sun ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Anterior Chamber ◽  
Influencing Factors ◽  
Swept Source ◽  
Chamber Volume ◽  
Anterior Chamber Volume ◽  
Cataract Patients

Purpose.To evaluate the anterior chamber volume in cataract patients with Swept-Source Optical Coherence Tomography (SS-OCT) and its influencing factors.Methods.Anterior chamber volume of 92 cataract patients was evaluated with SS-OCT in this cross-sectional study. Univariate analyses and multiple linear regression were used to investigate gender, age, operated eye, posterior vitreous detachment, lens opacity grading, and axial length (AXL) related variables capable of influencing the ACV.Results.The average ACV was 139.80 ± 38.21 mm3(range 59.41 to 254.09 mm3). The average ACV was significantly larger in male patients than in female patients (P=0.001). ACV was negatively correlated with age and LOCS III cortical (C) grading of the lens (Pearson’s correlation analysis,r=-0.443,P<0.001, and Spearman’s correlation analysis,ρ=-0.450,P<0.001). ACV was also increased with AXL (Pearson’s correlation analysis,r=0.552,P<0.001). Multiple linear regression showed that, with all of the covariates entered into the model, gender (P=0.002), age (P=0.015), LOCS III C grade (P=0.043), and AXL (P=0.001) were still associated with ACV (F=10.252  P<0.001  R2=0.498).Conclusion.With SS-OCT, we found that, in healthy cataract patients, ACV varied significantly among different subjects. Influencing factors that contribute to reduced ACV were female gender, increased age, LOCS III C grade, and shorter AXL.

Breastfeeding Self-Efficacy and Its Relationship with the Perceived Stress and the Breastfeeding Performance in Iranian Mothers with Late Preterm Infants, 2019

2020 ◽  
Author(s):  
Akram Kahforoushan ◽  
Shirin Hasanpour ◽  
Mojgan Mirghafourvand
Keyword(s):  
Standard Deviation ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Preterm Infants ◽  
Perceived Stress ◽  
Self Efficacy ◽  
Short Form ◽  
Late Preterm ◽  
Late Preterm Infants ◽  
The Mean

Abstract BackgroundLate preterm infants suffer from many short-term and long-term problems after birth. The key factor in fighting these problems is effective breastfeeding. The present study aimedto determine the breastfeeding self-efficacy and its relationship with the perceived stress and breastfeeding performance in mothers with late preterm infants. MethodsIn this prospective study, 171 nursing mothers with late preterm infants born in Alzahra Medical Center of Tabriz, Iran, who met the conditions of this study were selected through convenience sampling. The Breastfeeding Self-Efficacy Scale-Short Form (BSES- SF) was employed to measure breastfeeding self-efficacy and 14-item Perceived Stress Scale (PSS14) was used to measure the perceived stress during 24 hours after giving birth and when the child was 4 months old the breastfeeding performance was measured by the standard breastfeeding performance questionnaire. The data were analyzed by Pearson and Spearman’s correlation tests, independent t-test, one-way ANOVA, and Multiple Linear Regression.ResultsThe mean (standard deviation) of breastfeeding self-efficacy equaled 50.0 (7.8) from the scores ranging between13-65 and the mean (standard deviation) of the perceived stress equaled to 26.5 (8.8) from the scores ranging between 0-56. The median (25-75 percentiles) of breastfeeding performance score in the mothers equaled 2.0 (1.0 to 3.0) from the scores ranging between 0-6. On the basis of multiple linear regression and through adjusting the personal-social characteristic, by increasing the score of the breastfeeding self-efficacy, the perceived stress was decreased to a statistically significant amount (B=-0.1, 95%CI=-0.3 to 0.0), however, there was no statistically significant relationship between breastfeeding self-efficacy and breastfeeding performance (p=0.418). ConclusionDue to the modifiable variability of breastfeeding self-efficacy and its role in perceived maternal stress, the development of appropriate strategies to further increase breastfeeding self-efficacy and provide more support to these mothers and infants is of particular importance.

Characterization of Fabric Friction Performance by CHES-FY System

2013 ◽  
Vol 821-822 ◽  
pp. 1492-1498 ◽  
Author(s):  
Rui Qiang Gao ◽  
Zhao Qun Du ◽  
Wei Dong Yu
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Surface Friction ◽  
Regression Equation ◽  
New Apparatus ◽  
Friction Performance ◽  
Fabric Surface ◽  
Orthogonal Tests

The paper mainly introduces a new apparatus (CHES-FY) to measure fabric surface friction. Compacted with the KES-FB system, the CHES-FY system has its own superiority. Through designing orthogonal tests, corresponding properties of 16 groups fabrics were measured by CHES-FY system. Based on the correlation analysis between KES-FB system with CHES-FY system, it indicates that the two systems have high correlations. Thereafter, regression equation that includes four parameters through multiple linear regression were achieved. It reports that CHES-FY system is feasible and accurate in measuring fabric surface friction performance.

scholarly journals Post-traumatic growth and influencing factors among frontline nurses fighting against COVID-19

2020 ◽  
pp. oemed-2020-106540
Author(s):  
Pan pan Cui ◽  
Pan pan Wang ◽  
Kun Wang ◽  
Zhiguang Ping ◽  
Peng Wang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Psychological Intervention ◽  
Linear Regression Analysis ◽  
Bivariate Analysis ◽  
Related Factors ◽  
Self Confidence ◽  
Post Traumatic Growth ◽  
Post Traumatic

ObjectiveTo explore the level and influencing factors of frontline nurses’ post-traumatic growth (PTG) during COVID-19 epidemic.MethodsA cross-sectional survey was conducted in February 2020 in three hospitals in China. The Post-traumatic Growth Inventory (PTGI) was used to investigate the PTG of frontline nurses. Data on related factors, including demographic characteristics and subjective variables, were collected. The Event-Related Rumination Inventory was used to assess rumination. Pearson’s or Spearman’s correlation was calculated for bivariate analysis. Independent sample t-tests or one-way analysis of variance and multiple linear regression analysis were used to examine the related factors.ResultsA total of 179 frontline nurses were recruited, and 167 were included in the analyses. The mean PTG score was 70.53±17.26. The bivariate analyses showed that deliberate rumination was modestly positively correlated with PTG (r=0.557, p<0.01), while intrusive rumination had a modest negative correlation with PTG (r=−0.413, p<0.01). Multiple linear regression demonstrated that working years, self-confidence in frontline work, awareness of risk, psychological intervention or training during the epidemic and deliberate rumination were the main influencing factors of PTG among frontline nurses and accounted for 42.5% of the variance (F=31.626, p<0.001).ConclusionsThe PTG of frontline nurses was at a medium to high level and was influenced by working years, self-confidence in frontline work, awareness of risk, psychological intervention or training and deliberate rumination. It is necessary to strengthen psychological guidance and training for frontline nurses and promote their deliberate rumination on epidemic events to improve their PTG.

scholarly journals Influence of the key account manager in the provisioning management: Evidence from staple companies during the events of COVID-19

Accounting ◽  
2022 ◽  
Vol 8 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Luis-Ricardo Flores-Vilcapoma ◽  
Cynthia-Paola A lbengrin-Mendoza ◽  
Gabriela-Briggite Gomez-Rojas ◽  
Yuri Sánchez-Solis ◽  
Wagner Vicente-Ramos
Keyword(s):  
Experimental Design ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Cross Sectional ◽  
Key Account ◽  
The Impact

The purpose of this research was to evaluate the degree of influence exercised by the Key Account Manager in the provisioning management in the main companies called Staple in Peru, during the events of COVID-19. The research was of type quantitative, cross-sectional and temporal, with a non-experimental design, using a multiple linear regression model and correlation analysis to determine the impact that exists between the variables. The data belongs to the Industrias San Miguel company, distributed in a weekly period from June 2019 to March 2021, which gives 88 observations. The results allow us to conclude that the Key Account Manager is an important manager of the supply of goods during the crisis caused by COVID-19 in staple companies.

scholarly journals Pengaruh metode penilaian persediaan, nilai persediaan, dan gross profit margin terhadap market value perusahaan yang terdaftar di bei tahun 2007-2009

2017 ◽  
Vol 15 (2) ◽  
Author(s):  
Ngadiman Ngadiman ◽  
Florence Theresia
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Stock Exchange ◽  
Market Value ◽  
Profit Margin ◽  
Testing Method ◽  
Valuation Method ◽  
Inventory Method

The title of this research "The Correlation Analysis of Inventory Valuation Method Implementation, Inventory Value, and Gross Profit margin to Manufacture Companies Market Value Listed on Indonesia Stock Exchange'', which its objective is to provide the empirical evidences about the inventory valuation method implementation, inventory value, and gross profit margin to company's market value. The object of this research is the manufacture companies which are listed os Indonesia Stock Exchange on the period of 2007-2009. Research sample was selected by using the purposive sampling and obtained 45 sample companies which are consists of 8 companies which are implementing the average inventory method and 3 7 companies are implementing the FIFO inventory method. The hypothesis testing method used the multiple linear regression method.The result of this research shows that as collectively the inventory valuation method, inventory value, and gross profit margin significantly affected the market value. And as individually, the variable that significantly affects the market value is just inventory value while inventory valuation method and gross profit margin have no significant influence to the market value.

scholarly journals Research and application of constructing football training linear programming based on multiple linear regression equation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
YinZhuang Bai ◽  
Aizhen Ren ◽  
Adil Omar Khadidos ◽  
Mohammed Abdulrazzqa
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Linear Regression Analysis ◽  
Quantitative Relationship ◽  
Broad Perspective ◽  
The Core ◽  
Football Game ◽  
Football Match ◽  
Football Training

Abstract Based on the factors affecting sports performance, from a more comprehensive and broad perspective, after consulting the literature, 52 factors that affect the outcome of football matches are selected, including technology, tactics, physical fitness and referees’ penalties. By watching the video of the game, 52 influencing factors of 200 games and 400 teams were counted. The original data was statistically processed with correlation analysis and multiple linear regression analysis, and the statistics of the 26 European Cup games were substituted into the winning formula. To verify the scientific nature and objectivity of the formula, we aim to ascertain the core factors in the winning factors of a football game and the quantitative relationship between these factors and the result of the game, so as to provide a certain reference for football training, game analysis and scientific research. The technical and tactical ability of individuals and teams is the core competitive ability factor that affects the result of the game; from a single factor, 15 factor indicators have a significant impact on the result of a football match; on the whole, 10 factor indicators have a significant effect on the result of a football match. In addition, there is a certain quantitative relationship between these influencing factors and the results of the game; empirical evidence shows that the football game winning formula has a certain degree of science and objectivity.

scholarly journals Analysis of the Influencing Factors of the Medical Service Capacity in Key Clinical Specialties at the County Level Based on TOPSIS

2020 ◽  
Author(s):  
Kaixuan Wang ◽  
Jin-Ling Guo ◽  
Wei Wang ◽  
Shui-Chang Zhao ◽  
Miao-Jun Li ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Medical Service ◽  
Compliance Rate ◽  
Care Quality ◽  
Appropriate Technology ◽  
County Level ◽  
Service Capacity ◽  
Personnel Training

Abstract To acknowledge the medical service capacity of the first batch of county-level key clinical specialties in Henan province, analyze the influencing factors, and make targeted suggestions. TOPSIS method was used to evaluate the medical service capacity comprehensively, and the influencing factors were analyzed by simple linear regression and multiple linear regression. In the multiple linear regression model, the basic conditions, including the total investment funds during the construction period, net usable area of beds and the ratio of bed to nurse, the quality of care—the compliance rate of major clinical diagnosis and pathological diagnosis, and the personnel training—the number of technical promotion trainees, of the first county-level clinical specialties, have a significant influence upon the medical service capacity; while, the actual number of beds, the ratio of doctors and nurses, the proportion of annual expert visits, the number of technical promotion training and sending of learners, percentage of drug expenditure and core journal articles have limited effect. On the basis of the ensured allocation of resources and capital investment, more attention should be paid to personnel training and appropriate technology promotion, and the medical care quality is supposed to be always insisted on, to promote the overall improvement of medical service capacity in county hospitals.

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