scholarly journals A Logistic Regression Model Comparing Astronomy And Non-Astronomy Teachers In Québec’s Elementary Schools

2019 ◽  
Vol 6 (1) ◽  
pp. 1-16
Author(s):  
Pierre Chastenay ◽  
Martin Riopel
Keyword(s):  
Logistic Regression ◽  
Elementary Schools ◽  
Elementary Teachers ◽  
Regression Model ◽  
Science Teaching ◽  
Online Survey ◽  
Logistic Regression Model ◽  
Elementary Classrooms ◽  
High Quality ◽  
Service Training

Based on the results of an online survey of 500 Québec’s elementary (K-6) teachers conducted in 2015 that probed the way respondents teach astronomy to their classrooms, their background in S&T, their pre-service education, their aims and goals for astronomy teaching, their attitude toward teaching astronomy, the resources and materials they use, their view on the effectiveness of pre- and in-service training, and their need for in-service training, we present a logistic regression model comparing elementary teachers in our survey that teach astronomy to their class (“Astronomy” teachers, N = 244) and those who don’t (“Non-astronomy” teachers, N = 256), to reveal factors that seem to facilitate or hinder astronomy teaching in Québec’s elementary classrooms. Based on the model, several ways to enhance the teaching of astronomy in Québec’s K-6 classrooms are proposed: offer high-quality pre- and in-service training in astronomy to elementary teachers, raise the profile of science teaching in elementary schools, and help teachers realize the importance of teaching astronomy in their classrooms to cover the curriculum standards.

Abstract 211: Association of Patient Characteristics With the Initiation of Dabigatran Versus Warfarin Among Anticoagulant Naive Patients With Non-valvular Atrial Fibrillation

2013 ◽  
Vol 6 (suppl_1) ◽  
Author(s):  
David R Walker ◽  
Jasmina Ivanova ◽  
Keith A Betts ◽  
Sapna Rao ◽  
Eric Q Wu
Keyword(s):  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Regression Model ◽  
Primary Care Physicians ◽  
Online Survey ◽  
Logistic Regression Model ◽  
Stroke Risk ◽  
Dabigatran Etexilate ◽  
Patient Characteristics ◽  
Categorical Variables

Background and Objective: Dabigatran etexilate (DE) and warfarin, both oral anticoagulants used for stroke risk reduction in patients with non-valvular atrial fibrillation (NVAF), have been or are being compared in several comparative effectiveness studies. Understanding patient characteristics of those prescribed DE vs. warfarin are important for interpreting such studies. The objective of this study is to identify the characteristics that differentiate NVAF patients prescribed DE versus warfarin as first-line anticoagulation. Methods: An online survey was administered in October 2012 to an established panel of cardiologists and primary care physicians (PCPs) in the US. Physicians were asked to identify medical charts of their patients diagnosed with NVAF and who had at least one prescription for DE or warfarin between 1/1/2011 and 6/30/2012. Patients were further required to be anticoagulant naïve prior to the first prescription of DE or warfarin. A computer generated random dice was applied to direct the random selection of the patients. Patient characteristics, comorbidities and clinical risk measures were compared between DE and warfarin patients using Chi-square tests for categorical variables and t-tests for continuous variables. A logistic regression model was utilized to evaluate patient characteristics associated with DE vs. warfarin use among anticoagulant naïve NVAF patients. Results: A total of 288 physicians (144 cardiologists and 144 PCPs) completed the survey. 262 medical records for DE patients and 247 for warfarin patients were randomly selected. The mean age of the DE and warfarin patients, respectively were 61.6 and 65.8 years (p < 0.01). The proportion of females was 20.6% and 41.7% in the DE and warfarin patients respectively (p<0.01). 86.3% of DE patients vs. 68.4% of warfarin patients were Caucasian (p<0.01). Other differences between DE and warfarin patients respectively included: previous myocardial infarction (3.8%, 9.3%; p<0.05), previous transient ischemic attack (8.4%, 16.2%; p <0.01), and CHA 2 DS 2 -VASc stroke risk score (2.21, 2.98; p<0.01). The logistic regression model found age (OR = 0.96; p=0.001), female gender (OR=0.46; p = 0.002), Hispanic/Latino (OR = 0.33; p=.007), Black (OR= 0.37; p = 0.006), and > 6 months and < 1 year for time from first NVAF diagnosis to first prescription date (OR = 0.38; p = 0.02) were associated with initiation of DE vs. warfarin. However, CHA 2 DS 2 -VASc was not found to be a significant predictor of anticoagulant prescription. Conclusions: Patients who are younger, male, Caucasian, and recently diagnosed with NVAF were significantly more likely to be initiated by their physician on DE vs. warfarin. These findings should be considered when doing comparative analyses of outcomes between patients on DE vs. warfarin.

scholarly journals Effects of Using Digital Devices on Food Consumption among University Students in Nepal

2021 ◽  
Vol 2 (4) ◽  
pp. 36-54
Author(s):  
Dirgha Raj Joshi ◽  
Umesh Neupane ◽  
Jitendra Kumar Singh ◽  
Bishnu Khanal ◽  
Shashidhar Belbase
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Food Consumption ◽  
Online Survey ◽  
Logistic Regression Model ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Digital Devices ◽  
Food Consumed

Food consuming behavior is a concern for good physiological, physical, psychological, and social health. An unbalanced eating habit may be related to several factors. The objective of the study was to investigate how the use of digital devices influences graduate students’ eating behavior. A cross-sectional study was conducted among 320 Masters of Philosophy (MPhil) scholars of Nepal Open University through an online survey. A Chi-square test and a binary logistic regression model were fitted to find the effect of digital devices on food consumption. There was a significant association between the duration of using a mobile phone, computer, and TV with the quantity of food consumed, preferred time of using a laptop with the quantity of food consumed, and the sitting position during the use of digital devices with the quantity of food consumed. The logistic regression model showed that individual’s sitting positions while using digital devices were significant predictors of food consumption at a 95% confidence level.

scholarly journals Influence of Socio-Economic Conditions of Farmers on the Control of Insect Pests of Citrus in Benue State, Nigeria

2016 ◽  
Vol 8 (2) ◽  
pp. 84
Author(s):  
T. A. K. Anzaku ◽  
D. A. Anda ◽  
I. B. Umar
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Insect Pests ◽  
Descriptive Statistics ◽  
Economic Conditions ◽  
Citrus Fruits ◽  
High Quality ◽  
Citrus Production ◽  
Socio Economic Variables

<p>Despite the significant losses of citrus fruits due to insect pests damage, not all farmers control the menace of these pests. Control of these pests is inevitable for high quality, sustained and increased production of the product and income for the farmers. It is, therefore, imperative in the study to empirically establish the socio-economic variables of citrus farmers influencing the control of citrus insect pests. To achieve this, data collected from a random sample of 50 commercial citrus farmers from the major producing areas of Benue State in 2014, through the use of questionnaire, were analyzed by employing descriptive statistics and logistic regression model. With the exception of age with a coefficient of -.035, which influenced the control of insect pests negatively, the influence of other variables such as education (.362), experience (.159), gender (.992), income from citrus (.002) and income from other enterprises (.001) were positive, although only education and income earned from citrus were significant at 10% and 1% level of probability, respectively. Control of insect pests of citrus can be better achieved by potential and existing farmers if their education and earning from citrus production are continually and simultaneously increased.</p>

scholarly journals To Teach Or Not To Teach Astronomy, That Is The Question: Results Of A Survey Of Québec’s Elementary Teachers

2018 ◽  
Vol 5 (2) ◽  
pp. 115-136
Author(s):  
Pierre Chastenay
Keyword(s):  
High School ◽  
Elementary Teachers ◽  
Science Teaching ◽  
Online Survey ◽  
Reading And Writing ◽  
Perceived Needs ◽  
Service Training ◽  
And Training

To determine the extent of astronomy teaching in Quebec’s schools, we conducted an online survey of 500 Québec’s elementary (K-6) teachers between January and March 2015. With a 35-items questionnaire, we wanted to find out how these elementary teachers teach astronomy (or not) to their classrooms, what is their background in Science & Technology (S&T), what pre-service education they received, the reasons why they teach astronomy or not to their students, the resources and materials they have at their disposal, their perception of the effectiveness of pre- and in-service training they received, and their perceived needs for in-service training. Results show that the majority of teachers surveyed didn’t study science beyond high school and have had no experience in S&T employment before becoming a teacher. We also found that only half of the teachers surveyed actually teach astronomy to their class, mostly by using reading and writing material, and that 39% of “Astronomy teachers” in our sample teach astronomy to their class between 6 and 10 hours per year. Major hurdles to astronomy teaching perceived by the teachers in our survey are a lack of experience and training in astronomy, a lack of resources and equipment, inadequate classroom arrangement, and their own, self-perceived incompetence in astronomy. Pre-service education in astronomy, in science and in science teaching is also considered mainly unsatisfactory, or non-existent in the case of astronomy; in-service training in astronomy is mainly composed of conversations with colleagues. Most respondents thus consider in-service training in astronomy to be inefficient or inexistent.

scholarly journals Work absence and multimorbidity in Portugal: results from the 1st National Health Examination Survey

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Matos ◽  
C Matias Dias ◽  
A Félix
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Chronic Diseases ◽  
National Health ◽  
Logistic Regression Model ◽  
Health Examination ◽  
Work Absence ◽  
Health Examination Survey ◽  
Absence From Work ◽  
The Impact

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p &lt; 0,0001), education (p &lt; 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.

Sign in / Sign up

Export Citation Format

Share Document