scholarly journals The Relation Between Media Exposure, Risk Behaviour and Anxiety in Adolescents During the COVID-19 Pandemic

2021 ◽  
Author(s):  
Goran Livazović ◽  
◽  
Karlo Bojčić
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Peer Relationships ◽  
Media Use ◽  
Media Exposure ◽  
Risk Behaviour ◽  
Anxiety And Depression ◽  
Exposure Risk ◽  
On Line ◽  
Predictive Relations

This report is focused on a theoretical and empirical analysis of an on-line questionnaire implemented with 246 adolescent participants from Croatia in 2020 during the COVID-19 pandemic. The aim of the study was to analyse the relation between the COVID-19 pan­demic related fear and risk behaviour, anxiety and depression in adolescents, including the importance of sociodemographic traits, family/school/peer relationships and media use as risk-protective factors. The research was implemented during the March and April 2020 lockdown in Croatia with participants aged from 18-35 years old. The questionnaire consisted of 5 major parts: socio-demographic measures; media use and interests; Mean world syndrome; risk behaviour; and 2 standardized scales on anxiety and depression with a high validity of the Cronbach’s alpha coefficients ranging from α = .81 to α = .94. Correlation analysis demonstrated significant positive relations between COVID-19 media exposure, risk behaviour and anxiety or depression. Our regression analysis established positive moderate predictive relations between risk behaviour, anxiety and depression (p < .01). No significant effects for risk behaviour in relation to the participants’ sociodemographic traits were found.

İŞE BAĞLILIĞIN TÜKENMİŞLİK VE DEPRESYON DÜZEYLERİ ÜZERİNDEKİ ETKİLERİ: SAĞLIK ÇALIŞANLARI ÜZERİNDE BİR ARAŞTIRMA

2014 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Haluk TANRIVERDİ ◽  
Mucize SARIHAN
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Health Workers ◽  
Personal Information ◽  
Depression Scale ◽  
Work Commitment ◽  
Statistical Software ◽  
Research Hospital ◽  
Training And Research

The main purpose of this study is to examine the effects of health workers’ levels of work commitment on the levels of depression and burnout.  Having this purpose in mind, a questionnaire consisting of personal information form, work commitment scale, burnout scale and depression scale was conducted with 266 health workers of İstanbul Kartal Training and Research Hospital in May 2013. Data obtained from questionnaires were analyzed by SPSS 17,0 statistical software. Correlation analysis was utilized in order to determine the relationships among work commitment, burnout and depression levels of health workers whereas regression analysis was utilized in order to determine the effects of health workers’ levels of work commitment on the levels of depression and burnout. According to the results, it has been found that there are statistically relevant relationships among work commitment, burnout and depression levels of health workers. It has been concluded that the more health workers’ levels of work commitment increase, their levels of depression and burnout decrease.

The Effects of Exercise Commitment Facilitated by Service Quality of Smartphone Exercise Applications on Continued Exercise Intention

2019 ◽  
Vol 118 (1) ◽  
pp. 14-19
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Service Quality ◽  
Frequency Analysis ◽  
Primary Data ◽  
Exercise Intention

Background/Objectives: The purpose of this study is to examine the effects of exercise commitment facilitated by service quality of smartphone exercise Apps on continued exercise intention and provide primary data for developing and/or improving smartphone exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted amongst college students who have experiences in using exercise App(s) and regularly exercise. The questionnaire is composed of four parts asking about service quality, exercise commitment, continued exercise intention, which were measured with a 5-point Likert Scale, and demographics. Frequency analysis, factor analysis, correlation analysis, and regression analysis were carried out to analyze the obtained data with PASW 18.0.

Analysis of variations in and correlations between selected physical parameters of common beech (Fagus silvatica L.) nuts

2017 ◽  
Vol 1 (21) ◽  
pp. 49-63
Author(s):  
Zdzisław Kaliniewicz ◽  
Piotr Markowski ◽  
Andrzej Anders ◽  
Paweł Tylek ◽  
Zbigniew Krzysiak ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Cross Sections ◽  
Linear Regression Analysis ◽  
Physical Parameters ◽  
Common Beech ◽  
Mesh Screen ◽  
Before And After ◽  
Fagus Silvatica ◽  
Highly Correlated

The basic dimensions and the mass of common beech nuts and seeds from five nut batches, harvested from tree stands in northern Poland, were determined. Environmental conditions had a greater influence on seed plumpness than the age of tree stands. The results of measurements were analyzed statistically by analysis of variance, correlation analysis and linear regression analysis. Despite differences in their plumpness, nuts were characterized by nearly identical cross-sections which resembled an equilateral triangle. The thickness of nuts and seeds was highly correlated with their mass, and this information can facilitate seed husking and separation into mass categories. Before and after husking, seeds should be separated with the use of a mesh screen with longitudinal openings. Medium-sized (most numerous) seeds were separated into the following plumpness categories using a screen separator with ≠6 mm and ≠7 mm openings: 84% of moderately plump seeds, 3% of seeds with reduced plumpness, and 13% of plump seeds.

Work addiction as a predictor of anxiety and depression

Work ◽  
2021 ◽  
Vol 68 (3) ◽  
pp. 779-788
Author(s):  
María-José Serrano-Fernández ◽  
Joan Boada-Grau ◽  
Maria Boada-Cuerva ◽  
Andreu Vigil-Colet
Keyword(s):  
Correlation Analysis ◽  
Healthy Lifestyle ◽  
Anxiety And Depression ◽  
Work Demands ◽  
Depression And Anxiety ◽  
Work Addiction ◽  
Probabilistic Sampling ◽  
Negative Results ◽  
Work Habits ◽  
Predictive Study

Background: A worker’s work habits can affect their health, both physically and psychologically. Negative results have been associated with work demands (stress, anxiety and depression). Objective: In the present research we carried out a predictive study of work addiction by applying three questionnaires on depression and anxiety. Methods: In this study, the participants were 332 workers, obtained through non-probabilistic sampling. The FACTOR (version 7.2) and SPSS 23.0 programs were used. Results: The results of the correlation analysis show both positive and negative associations with the variables studied. We conclude that work addiction variables can predict anxiety and depression because we found that two variables predict 18.3% of depression and 20.3% of anxiety, which are feelings generated by work and excessive work. Conclusion: It can be concluded that feelings generated by work and excessive work predict anxiety and depression, thus the present research helps to broaden knowledge on work addiction, promoting a healthy lifestyle and prevent absenteeism.

scholarly journals Media consumption and mental health during COVID-19 lockdown: a UK cross-sectional study across England, Wales, Scotland and Northern Ireland

2021 ◽  
Author(s):  
Ruth D Neill ◽  
Carolyn Blair ◽  
Paul Best ◽  
Emily McGlinchey ◽  
Cherie Armour
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Media Exposure ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Future Research ◽  
Media Consumption ◽  
Sectional Study ◽  
Cross Sectional ◽  
Longitudinal Data Collection

Abstract Aim As individuals adjust to new ‘norms’ and ways of living during the COVID-19 lockdown, there is a continuing need for up-to-date information and guidance. Evidence suggests that frequent media exposure is related to a higher prevalence of mental health problems, especially anxiety and depression. The aim of this study was to determine whether COVID-19 related media consumption is associated with changes in mental health outcomes. Methods This paper presents baseline data from the COVID-19 Psychological Wellbeing Study. The cross-sectional study data was collected using an online survey following the Generalised Anxiety Disorder scale (GAD-7) and the Patient Health Questionnaire (PHQ-9), with some other basic information collected. Logistic regression analysis was used to examine the influence of socio-demographic and media specific factors on anxiety and depression. Results The study suggested that media usage is statistically significantly associated with anxiety and depression on the GAD-7 and PHQ-9 scales with excessive media exposure related to higher anxiety and depression scores. Conclusion This study indicated that higher media consumption was associated with higher levels of anxiety and depression. Worldwide it should be acknowledged that excessive media consumption, particularly social media relating to COVID-19, can have an effect on mental health. However, as this was a cross-sectional study we cannot infer any directionality as we cannot infer cause and effect; therefore, future research involving longitudinal data collection and analyses of variables over time is warranted.

scholarly journals Risk Behaviours Associated with Dating and Relationship Violence among 11–16 Year Olds in Wales: Results from the 2019 Student Health and Wellbeing Survey

2021 ◽  
Vol 18 (3) ◽  
pp. 1192
Author(s):  
Danielle V. R. Couturiaux ◽  
Honor Young ◽  
Rebecca E. Anthony ◽  
Nicholas Page ◽  
Emily Lowthian ◽  
...  
Keyword(s):  
Peer Relationships ◽  
School Health ◽  
Risk Behaviour ◽  
Self Report ◽  
Research Network ◽  
Student Health ◽  
Relationship Violence ◽  
Risk Behaviours ◽  
Cross Sectional ◽  
Logistic Regression Models

(1) Background: This study examines the associations between risk behaviours and adolescent emotional and physical dating and relationship violence (DRV) victimisation and perpetration, and how these vary by gender. The risk behaviours explored include bullying, cyberbullying, sexting, alcohol, and cannabis use; (2) Methods: Cross-sectional self-report data from the School Health Research Network (SHRN) 2019 Student Health Wellbeing (SHW) survey of 48,397 students aged 11–16 from 149 schools across Wales were analysed using single and multiple-behaviour logistic regression models to explore the associations between each risk behaviour and emotional and physical DRV victimisation and perpetration; (3) Results: Bivariate analyses revealed a statistically significant association between DRV and all risk behaviours. In multivariate analyses, students who reported bullying, cyberbullying, sexting, and substance use, compared to those that had not, had significantly higher odds of experiencing and perpetrating emotional and physical DRV; and (4) Conclusions: Future studies on DRV should consider a mixed-methods approach to explore the context in which DRV and risk behaviours interrelate. Results from this study indicate the possibility that prevention and intervention programmes in school settings that seek to develop healthy school environments and peer-to-peer relationships, could inadvertently reduce the occurrence of future DRV and associated risk behaviours.

scholarly journals Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models

2021 ◽  
Vol 13 (10) ◽  
pp. 5708
Author(s):  
Bo-Ram Park ◽  
Ye-Seul Eom ◽  
Dong-Hee Choi ◽  
Dong-Hwa Kang
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Field Test ◽  
Outer Surface ◽  
Regression Models ◽  
Field Tests ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Building Characteristics ◽  
Pm2.5 Concentration

The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in highly leaky units could be up to 1.59 times higher than that in airtight units.

Pengaruh budaya organisasi, pengembangan karir dan self efficacy terhadap kinerja karyawan pada PT. Pos Padang

2021 ◽  
Vol 5 (3) ◽  
pp. 539
Author(s):  
Putri Azizi ◽  
Ai Elis Karlinda ◽  
Mardhatila Fitri Sopali
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Career Development ◽  
Data Collection ◽  
Correlation Analysis ◽  
Multiple Regression ◽  
Analytical Method ◽  
Self Efficacy ◽  
Employee Performance ◽  
Performance Development

This study aims to determine how much influence Organizational Culture, Career Development, and Self Efficacy have on Employee Performance. The analytical method used is correlation analysis and multiple regression. The method of data collection in this study is to use a questionnaire filled out by respondents, namely employees of PT. Padang Post. From the results of multiple regression analysis, it shows that: (a) organizational culture has a partially significant effect on employee performance, (b) career development has a partially significant effect on employee performance, (c) self-efficacy has a partially significant effect on employee performance development, (d) ) organizational culture, career development and self-efficacy together on career development, (e) the contribution of organizational culture, career development, and self-efficacy variables together on employee performance is 71.4% while the remaining 28.6 % influenced by other variables not examined in this study. 

Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Pearson Correlation ◽  
Regression Analyses ◽  
Cox Regression Analysis ◽  
Pearson Correlation Analysis

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.

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