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 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 Post-traumatic Growth Level and Its Influencing Factors Among Frontline Nurses During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Xin Peng ◽  
Hui-zi Zhao ◽  
Yi Yang ◽  
Zhen-li Rao ◽  
De-ying Hu ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Psychological Intervention ◽  
Influence Factors ◽  
Cross Sectional Study ◽  
General Information ◽  
Average Score ◽  
Large Sample Size ◽  
Cross Sectional ◽  
Post Traumatic Growth ◽  
Post Traumatic

Objective: To assess post-traumatic growth (PTG) level and explore its influence factors among frontline nurses during the COVID-19 pandemic.Methods: From April 11th to 12th, 2020, a cross sectional study was conducted on 116 frontline nurses who had participated in fight against the COVID-19 in Wuhan city, China. General information and psychological discomfort were collected. Chinese version post-traumatic growth inventory with 20 items was applied to assess PTG level. Univariable analyses and multiple linear regression were performed to explore potential influencing factors of PTGI score.Results: The average score of PTGI in frontline nurses was 65.65 ± 11.50. In univariable analyses, gender, age, education level, marital status, living with parents, professional title, working years and professional psychological support was not statistically associated with the PTGI score. In both univariable and multivariable analyses, having support from family members and friends, being psychological comfort and having children and increased the PTGI score significantly. The three factors only explained 3.8% variance.Conclusion: Moderate PGT was observed in the frontline nurses who had battled against COVID-19. Social support and professional psychological intervention should be applied to further improve PTG level. Further studies with large sample size are required to explore more potential influencing factors.

scholarly journals Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Johann Georg Keunecke ◽  
Christine Gall ◽  
Torsten Birkholz ◽  
Andreas Moritz ◽  
Christian Eiche ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Task Demands ◽  
Measurement Tool ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Emergency Medical

Abstract Background Human workload is a key factor for system performance, but data on emergency medical services (EMS) are scarce. We investigated paramedics’ workload and the influencing factors for non-emergency medical transfers. These missions make up a major part of EMS activities in Germany and are growing steadily in number. Methods Paramedics rated missions retrospectively through an online questionnaire. We used the NASA-Task Load Index (TLX) to quantify workload and asked about a variety of medical and procedural aspects for each mission. Teamwork was assessed by the Weller teamwork measurement tool (TMT). With a multiple linear regression model, we identified a set of factors leading to relevant increases or decreases in workload. Results A total of 194 non-emergency missions were analysed. Global workload was rated low (Mean = 27/100). In summary, 42.8% of missions were rated with a TLX under 20/100. TLX subscales revealed low task demands but a very positive self-perception of performance (Mean = 15/100). Teamwork gained high ratings (Mean TMT = 5.8/7), and good teamwork led to decreases in workload. Aggression events originating from patients and bystanders occurred frequently (n = 25, 12.9%) and increased workload significantly. Other factors affecting workload were the patient’s body weight and the transfer of patients with transmittable pathogens. Conclusion The workload during non-emergency medical transfers was low to very low, but performance perception was very positive, and no indicators of task underload were found. We identified several factors that led to workload increases. Future measures should attempt to better train paramedics for aggression incidents, to explore the usefulness of further technical aids in the transfer of obese patients and to reconsider standard operating procedures for missions with transmittable pathogens.

scholarly journals Predictors of Post-traumatic Growth in Patients With Myocardial Infarction

2020 ◽  
Vol 24 (6) ◽  
pp. 520-531
Author(s):  
Seyedeh Zahra Hosseini Golafshani ◽  
◽  
Farshad Taheri ◽  
Hamid Sharif Nia ◽  
Somayeh Minaeimoghaddam ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Social Support ◽  
Regression Analysis ◽  
Linear Regression ◽  
Meaning In Life ◽  
Perceived Social Support ◽  
Linear Regression Analysis ◽  
Life Questionnaire ◽  
Post Traumatic Growth ◽  
Post Traumatic

Background: Some people experience positive psychological changes in various aspects after a stressful event. These positive changes, known as Post-Traumatic Growth (PTG), are often due to people’s need to adapt to the challenges ahead. Objective: This study aims to determine the predictors of PTG in patients with myocardial infarction. Methods: This is a descriptive-correlational study. Participants were 191 patients with myocardial infarction referred to the cardiac clinic of Bu-Ali Sina Hospital in Qazvin, Iran. They were selected using a convenience sampling method and based on inclusion/exclusion criteria. The research instruments were the Post-Traumatic Growth Inventory (PTGI), Multidimensional Perceived Social Support Scale (MSPSS), and the Meaning in Life Questionnaire (MLQ). Collected data were analyzed in SPSS V. 25 software using Pearson correlation test and linear regression analysis. Findings: There was a significant positive relationship between PTG with perceived social support (r=0.47 and P<0.001) and meaning in life (r=0.71 and P<0.001). Based on the results of linear regression analysis, an increase in the scores of MSPSS and MLQ can increase the PTGI score by 0.978 and 1.376, respectively. Conclusion: This study provided important insights into the phenomenon of PTG in patients with myocardial infarction and its predictors, which can help improve PTG in them.

scholarly journals PENGARUH PEKERJAAN ORANG TUA DAN KEYAKINAN DIRI TERHADAP MINAT BERWIRAUSAHA SISWA DI SMK NEGERI 10 SURABAYA

2017 ◽  
Vol 1 (2) ◽  
pp. 121
Author(s):  
Dwi Indah Setyowati
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Vocational School ◽  
Parental Employment ◽  
Self Confidence ◽  
Analysis Technique ◽  
Academic Year

This study aimed to determine the influences of parental employment and self-confidence of the students’ interest on entrepreneurship in 10th State Vocational School of Surabaya, academic year 2012-2013. Populations of this study were 582 students and 106 samples were selected by using purposive sampling. Data were collected by questionnaires. Analysis technique was using multiple linear regression analysis. Partial results of the study concluded that the work of the parents has no influence on the interest in entrepreneurship, while self confidence has an influence of the students’ interest in entrepreneurship. Simultaneously, this study concluded that parents work and self-confidence significantly influences students’ interest in entrepreneurship students in 10th State Vocational School of Surabaya.

scholarly journals Usia Berpengaruh Dominan Terhadap Perilaku Perawatan Luka Perineum pada Ibu Nifas di RSUD Sleman

2016 ◽  
Vol 4 (2) ◽  
pp. 95
Author(s):  
Prasetya Lestari
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Wound Care ◽  
Linear Regression Analysis ◽  
Perineal Wound ◽  
Whole Body ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
Hospital District ◽  
Postpartum Mothers

<p>Behavior perineal wound care in postpartum mothers is very important. This is related to prone to the incidence of infection, mothers need to always maintain the cleanliness of the whole body, clothes and cleanliness of their environment. The purpose of this study to determine correlations between age and parity with perineal wound care behaviors among respondents. This study was conducted in January 2016 in Sleman Hospital District of Yogyakarta. This type of research is correlational with cross sectional design. The population in this study postpartum mothers in Sleman hospitals Yogyakarta with a sample of 67 respondents. The sampling technique that is accidental sampling. This research instrument in the form of questionnaires. Multivariate data analysis with multiple linear regression analysis. The results showed that the majority of respondents to behave fairly in terms of perineal wound care in the postpartum mother (mean 18.37). Sebagain respondents aged 20-23 years (73.14%). The majority of respondents with parity 1-2. The results of the bivariate analysis showed that there is a relationship between age and behavior of perineal wound care (p=0.000, r=0.549), there is a relationship between parity with perineal wound care (p=0.000, r=0.535). Multivariate analysis with multiple linear regression showed that between age and parity significantly associated with perineal wound care in the postpartum mother, but the t test results showed that the dominant age relates to the behavior of perineal wound care. Conclusion, there is relationship between age and parity with the behavior of perineal wound care postpartum mother at Sleman hospitals Yogyakarta. The age more dominant associated with behavior perineal wound care in postpartum mothers.</p>

scholarly journals Sleep Health and Its Related Influencing Factors in Primary and Middle School Students in Fuzhou: a Large Multi-Center Crowd-based Cross-sectional Study

2020 ◽  
Author(s):  
Xingyan Xu ◽  
Fuhao Zheng ◽  
Yingying Cai ◽  
Jie Lin ◽  
Zhaonan Zeng ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Primary Schools ◽  
Linear Regression Analysis ◽  
Routine Activities ◽  
Sociodemographic Characteristics ◽  
Sleep Habits ◽  
School Students ◽  
Sleep Health

Abstract BackgroundThis current study set out to investigate the status of sleep health in 7-20-year-old students in Fuzhou and explore the related influencing factors of sleep health. MethodsA total of 38467 children and adolescents in Fuzhou were included in the study through a random stratified cluster sampling. Data were collected from May-June 2019, in 18 primary schools and 18 middle schools from 9 Districts, Fuzhou. Children's parents and adolescents of sampled classes were invited to fill a series of questionnaires about the performance of the last 6 months (sociodemographic characteristics, family sleep habits and routine activities before bedtime). Multiple linear regression was carried out to analyze data. ResultsOf the total 40888 questionnaires we released, 38467 were valid and effective with the response rate was 94.08%. The age of the surveyed participants was 11.85±3.1, including 20013 boys and 18454 girls. The multiple linear regression analysis identified factors associated with sleep health (P<0.05): Grl (coef=-0.073, 95%CI: -0.115--0.03), Age (coeff=0.234, 95%CI: 0.224-0.243), Key school (coeff=-0.149, 95%CI: -0.193- -0.105), Urban (coeff=-0.096, 95%CI: -0.139--0.054), Excessive daytime sleepiness (coeff=0.535, 95%CI: 0.432-0.639), Unhealthy sleep habits (coeff=0.363, 95%CI: 0.307-0.419), Using electronic products in bedroom (coeff=0.074, 95%CI: 0.028-0.121), Screen time per day during school (coeff=0.260, 95%CI: 0.235-0.284), Frequency of using electronics 30 minutes before bedtime (coeff=0.150, 95%CI: 0.134-0.166), Eating before sleep (coeff=0.578, 95%CI: 0.527-0.63), Sleep alone (coeff=-0.204, 95%CI: -0.262--0.147) Intense relationship with parents (coeff=0.361, 95%CI: 0.27-0.452), Intense relationship with peers (coeff=0.267, 95%CI: 0.171-0.363), Excessive homework or learning (coeff=0.189, 95%CI: 0.141-0.237), Time for doing homework (coeff=0.266, 95%CI: 0.245-0.287) and Mood swings frequently (coeff=1.174, 95%CI: 1.127-1.221) had greater impact on sleep health than other factors. ConclusionsSleep health is associated with factors covered sociodemographic characteristics, family sleep habits and routine activities before bedtime, and multiple measures should be taken to improve sleep quality in a targeted manner.

scholarly journals Workaholism in IT: An Analysis of the Influence Factors

2020 ◽  
Vol 10 (4) ◽  
pp. 96
Author(s):  
Octavian Dospinescu ◽  
Nicoleta Dospinescu
Keyword(s):  
Multivariate Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Analysis Of Variance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Multivariate Analysis Of Variance ◽  
The Impact

The purpose of this article is to make an exhaustive analysis of the influencing factors for the phenomenon of workaholism in IT. In contemporary economies, workaholism is an increasingly common phenomenon. Companies should evaluate the impact on workers of this trend, and note that knowledge of the factors influencing the decision to overwork can be a competitive advantage when implementing human resources policies. Our approach involved the use of multivariate analysis of variance combined with multiple linear regression analysis. The article analyzes the data from 178 respondents who are employed in the IT sector in Romania, taking into account seven potential factors of influence. The data and econometric analyses were processed in IBM SPSS Software. The results of the multivariate analysis of variance combined with multiple linear regression analysis show a significant relationship between workaholism and influencing factors such as the remunerative component of work, the intrinsic pleasure of working, the sense of responsibility towards family, and the desire to develop during a professional career. In this study, socio-demographic influences were found to have a weak influence on the decision to work excessively.

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