scholarly journals Air Pollutants, Climate, and the Prevalence of Pediatric Asthma in Urban Areas of China

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Juanjuan Zhang ◽  
Jihong Dai ◽  
Li Yan ◽  
Wenlong Fu ◽  
Jing Yi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Childhood Asthma ◽  
Urban Areas ◽  
Air Pollutants ◽  
Climatic Factors ◽  
Pearson Correlation ◽  
Predictor Variable ◽  
Asthma Prevalence

Background. Prevalence of childhood asthma varies significantly among regions, while its reasons are not clear yet with only a few studies reporting relevant causes for this variation.Objective. To investigate the potential role of city-average levels of air pollutants and climatic factors in order to distinguish differences in asthma prevalence in China and explain their reasons.Methods. Data pertaining to 10,777 asthmatic patients were obtained from the third nationwide survey of childhood asthma in China’s urban areas. Annual mean concentrations of air pollutants and other climatic factors were obtained for the same period from several government departments. Data analysis was implemented with descriptive statistics, Pearson correlation coefficient, and multiple regression analysis.Results. Pearson correlation analysis showed that the situation of childhood asthma was strongly linked with SO2, relative humidity, and hours of sunshine (p<0.05). Multiple regression analysis indicated that, among the predictor variables in the final step, SO2was found to be the most powerful predictor variable amongst all (β=-19.572,p< 0.05). Furthermore, results had shown that hours of sunshine (β=-0.014,p< 0.05) was a significant component summary predictor variable.Conclusion. The findings of this study do not suggest that air pollutants or climate, at least in terms of children, plays a major role in explaining regional differences in asthma prevalence in China.

A Study of Internet Addiction and Its Effects on the Mental Health of Medical Students: A Cross-Sectional Study in Western Iran

2019 ◽  
Author(s):  
Javad Yoosefi Lebni ◽  
Razie Toghroli ◽  
Manoj Sharma ◽  
Behzad Mahaki ◽  
Hadi Darvishi Gilan ◽  
...  
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
Academic Success ◽  
University Students ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Internet Addiction ◽  
Pearson Correlation ◽  
The Internet ◽  
Statistical Population

Abstract Background: The internet itself is a harmless technology. However, its overuse and misuse will expose its users to internet addiction. On the other hand, diagnosis of students’mental dysfunction is of prime importance, and their progress and academic success in the future can be prevented by this technology if not properly handled. Methods: In this descriptive and correlational study, the statistical population consisted of all students at Kermanshah University of Medical Sciences, of which 447 students studying in the first and second semesters of the academic year 2017-18 were selected through Cochran's Sample Size Formula and Stratified Random Sampling. As for data collection, the Young's Internet addiction Test (IAT) and Goldberg General Health Questionnaire (GHQ-28) were utilized. Moreover, for data analysis, the descriptive statistics (percentage, mean, standard deviation) and inferential statistics (T-test, Pearson correlation coefficient, and multiple regression analysis) were employed in the environment of SPSS Statistical Software Version 23.0. Results: The results of the present study demonstrated that the total mean score of students’ internet addiction and mental health measured 3.81±0.88 and 2.56±0.33, respectively. The results also indicated that internet addiction correlared positively with depression whereas negatively with mental health (P<0.001). Besides, the results of multiple regression analysis revealed that the five major predictors of vulnerability to internet addictionin university students were as follows: the key reason for using the internet, faculty, depression, the main place for using the internet, and somatic symptoms. Conclusions: According to the findings of the present study, it can be concluded that students’ excessive use of the internet leads to depression, anxiety, and reduced mental health, thereby affecting their academic performance. Hence, it is suggested that further monitoring and control be exercised on how the internet is used by university students, and they should be informed of the detrimental effects of this technology in the case of misuse or overuse.

scholarly journals Enterprise Value and Intellectual Capital: Study of BSE 500 Firms

2018 ◽  
Vol 7 (2) ◽  
pp. 123 ◽  
Author(s):  
Priti Sharma
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Intellectual Capital ◽  
Pearson Correlation ◽  
Market Value ◽  
Linear Multiple Regression ◽  
Listed Firms ◽  
Customer Capital ◽  
Almost All

The purpose of this paper is to estimate the intellectual capital coefficient of the firms under study and to study the relationship, if any between intellectual capital and intellectual capital and its constituents. In this empirical paper, analytical research design has been used. Pulic’s VAIC (modified) has been used to estimate the intellectual capital of BSE S&P 500 listed firms from 2007-2016. The data has been collected from CMIE and collected data has been analyzed using Pearson correlation and linear multiple regression analysis using CMIE PROWESS. Findings show that almost all firms under study have a good VAIC score means above 4 and the top VAIC scorer firms were mainly from refinery, metal, cement, steel, tobacco. Correlation analysis and Linear multiple regression analysis show that M/B ratio has a significant relationship with VACA, VAHU, Research and Development (Innovation capital) and Advertisement expenses (customer capital). Year-wise results depicts that value of adjusted R2 is increasing, in 2007 it was just .164 and in the year 2016 it is .607 which infers that VAIC’s role is improving in measuring the market value of firms under study. Year wise analysis shows that adjusted R2 is improving, so findings may serve as significant input for the firms to use intellectual capital as the main factor for improving the market value of firms. This paper will definitely contribute to the existing literature.

scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

scholarly journals Sebaran Pergerakan Pengguna Kendaraan Pribadi Bekasi Barat-DKI Jakarta

2019 ◽  
Vol 24 (3) ◽  
pp. 232
Author(s):  
Herawati Herawati ◽  
Rini Suliyatni
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Travel Time ◽  
Multiple Regression ◽  
Research Methods ◽  
Public Transport ◽  
Urban Areas ◽  
Trip Generation ◽  
Travel Costs ◽  
Distribution Modeling

The high traffic in OKI Jakarta is not only influenced by mavements in but also commuters from sub-urban areas like Bekasi District. For that we need to know the characteristics and distribution of the movement from North Bekasi to Jakarta. The purpose of this study was to determine the distribution of travelling from Bekasi to Jakarta. The research methods used are the establishment of Inter-Zone Travel Time Matrix, trip generation modeling (multiple regression analysis), Travel Distribution Modeling. In addition, the quantity method is used to identify travel time, total travel costs and advanced modes are used when using public transport. Based on the results obtained by the analysis of trip generation models Y = -1.44 of public transport + 2:14 of private vehicles. Trip distribution of Bekasi's population towards OKI Jakarta are Central Jakarta (261 trips/day), East Jakarta (180 trips/ day), South Jakarta (125 trip/day), West Jakarta (74 trips/day), and East Jakarta (87 trips/day). The different of travel time between private vehicles and public transport is average 30 minutes. Private vehicle users must expend more vehicle surcharge of Rp. 11 553 which compared with public transport.

The Effect of Administrators’ Servant Leadership on the Excellence of Catholic School

2017 ◽  
Vol 7 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Saowanee Sirisookslip ◽  
Wallapha Ariratana ◽  
Tang keow Ngang
Keyword(s):  
Regression Analysis ◽  
Servant Leadership ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Catholic Schools ◽  
School Administrators ◽  
Pearson Correlation ◽  
Catholic School ◽  
Stepwise Multiple Regression ◽  
High Level

AbstractThe research was aimed to study the effect of school administrators’ servant leadership on the excellence of Catholic Schools under Nakhon Rarchasima Diocese. A total of 326 respondents consisting 61 school administrators and 265 teachers were involved in this study. A quantitative survey design using questionnaire as an instrument was utilized in this study. Descriptive and inferential statistics were used to analyze the data. Descriptive statistic used in this study were frequency, percentage, mean score and standard deviation whereas inferential statistic used were Pearson correlation coefficient and Stepwise multiple regression analysis. The findings of the study revealed that both the independent and dependent variables were at high level. In short, school administrators were not only highly implemented servant leadership and its components but also the level of excellence was at high level. The excellence level of Catholic schools was significantly affected by three components of school administrators’ servant leadership at significant level of 0.05. The significant predictors of the school excellence level were community establishment, trust, love, and having vision components of servant leadership. The coefficient relative rate of multiple regression analysis was 0.651 and coefficient prediction was 41.60 percent. Finally, this paper also provided recommendation and suggestions for future research. Keywords: Servant leadership; school administrators; school excellence; Catholic schools

scholarly journals Organizational Culture, Awareness, and Nursing Practice of Infection Control among Nurses in the Emergency Departments

2021 ◽  
Vol 28 (2) ◽  
pp. 186-194
Author(s):  
Mi Young Lee ◽  
Jin-Hee Park
Keyword(s):  
Emergency Department ◽  
Organizational Culture ◽  
Regression Analysis ◽  
Infection Control ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Nursing Practice ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Hospital Data

Purpose: Hospital-acquired infections, common in developing countries, are a leading cause of morbidity and mortality. This study was done to examine the effects of organizational culture and awareness of infection control on nursing practice of infection control by nurses working in emergency departments.Methods: This descriptive correlational study was conducted with 135 nurses from the emergency department of a hospital. Data were collected from December 23, 2019, to January 14, 2020, using a structured questionnaire. Collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression analysis with SPSS/WIN 18.0.Results: The mean score of organizational culture, awareness, nursing practice of infection control were 5.56±0.78 out of 7, 4.66±0.36 out of 5 and 4.51±0.38 out of 5, respectively. The multiple regression analysis demonstrated that awareness and organizational culture of infection control accounted for 43% of the nursing practice of infection control.Conclusion: Study findings showed that there is a significant correlation between organizational culture, awareness, and nursing practice of infection control in the emergency department. Therefore, to improve nursing practices infection control in the emergency department, efforts should be made to promote infection control by developing education programs that can improve infection control awareness as well as strategies for a positive organizational culture.

scholarly journals Analysis of Drinking Related to Health Behaviors during Pregnancy: Focus on Community Health Survey Data

2020 ◽  
Vol 24 (4) ◽  
pp. 204-211
Author(s):  
Eun-Gyeong Kim
Keyword(s):  
Regression Analysis ◽  
Health Behaviors ◽  
Community Health ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Health Survey ◽  
Pearson Correlation ◽  
Smoking Habit ◽  
Medical Needs ◽  
Community Health Survey

Purpose: The purpose of this study was to investigate drinking as a health behavior during pregnancy.Methods: Secondary data obtained from the 2018 Korean Community Health Survey were analyzed using descriptive statistics, t-tests, Pearson correlation coefficients, and multiple regression analysis via the software IBM SPSS Statistics ver. 21.0.Results: The multiple regression analysis revealed that age, monthly income, job, depression, lifetime smoking habit, breakfast frequency, and experiences of unmet medical needs were significant drinkingrelated factors connected with health behaviors during pregnancy.Conclusion: Several factors are associated with drinking during pregnancy. To improve health promotion during pregnancy, alcohol prevention programs should be developed that consider one’s socioeconomic status and health behaviors.

scholarly journals Predicting the Probability of Divorce Occurrence by the Index of Family Function

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Nazanin Mahdinia ◽  
Dr Mohammad Ghamari
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Female Student ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Family Function ◽  
Married Female

This study is designed to analyze the predicting the probability of divorce in women through family function among married student from Azad Abhar University. This study is base on correlation and randomly sampled. The targeted population for this study were 200 voluntary participant of married female student. This study includes family functional survey, Mac Master (FAD), and the instability of marriage (Probability of divorce) survey that data collected from the surveys were analyzed by Pearson correlation coefficient, and Multiple regression analysis. Findings from this study shows that there is a relation between family functions and probability of divorce.

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