FACTORS THAT INFLUENCE STUDENTS’ DECISION TO DROPOUT OF ONLINE COURSES

Although there are many reasons why students dropout of college courses, those reasons may be unique for students who are enrolled in an online program. Issues of isolation, disconnectedness, and technological problems may be factors that influence a student to leave a course. To understand these factors, an online survey was developed to collect data from students who dropped out of an online program. Logistic regression analysis was used to compare various factors between those who persist in the program and those who dropout. The results, based on the dropouts from three cohorts in an online graduate program, show that demographic variables do not predict likelihood of dropping from a program. Instead, the students’ reasons for dropping out of an online program are varied and unique to each individual. Recommendations for further study are incorporated in the conclusions.

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Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

10.21203/rs.2.14209/v3 ◽

2019 ◽

Author(s):

Malak Al Shammari ◽

Ali Hassan ◽

Omran Al Dandan ◽

Mohammed Al Gadeeb ◽

Dalal Bubshait

Keyword(s):

Logistic Regression ◽

Saudi Arabia ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Online Survey ◽

Multivariate Logistic Regression Analysis ◽

Musculoskeletal Symptoms ◽

Body Region ◽

Viewing Distance ◽

Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

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Musculoskeletal symptoms among radiologists in Saudi Arabia: a multi-center cross-sectional study

BMC Musculoskeletal Disorders ◽

10.1186/s12891-019-2933-1 ◽

2019 ◽

Vol 20 (1) ◽

Cited By ~ 4

Author(s):

Malak Al Shammari ◽

Ali Hassan ◽

Omran Al Dandan ◽

Mohammed Al Gadeeb ◽

Dalal Bubshait

Keyword(s):

Logistic Regression ◽

Saudi Arabia ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Online Survey ◽

Multivariate Logistic Regression Analysis ◽

Musculoskeletal Symptoms ◽

Body Region ◽

Viewing Distance ◽

Cross Sectional

Abstract Background Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

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Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

10.21203/rs.2.14209/v4 ◽

2019 ◽

Author(s):

Malak Al Shammari ◽

Ali Hassan ◽

Omran Al Dandan ◽

Mohammed Al Gadeeb ◽

Dalal Bubshait

Keyword(s):

Logistic Regression ◽

Saudi Arabia ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Online Survey ◽

Multivariate Logistic Regression Analysis ◽

Musculoskeletal Symptoms ◽

Body Region ◽

Viewing Distance ◽

Cross Sectional

Abstract Background : Musculoskeletal symptoms account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains that predispose them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and their contributing factors. Methods : An online survey was sent to radiologists in all hospitals (academic, public and private) in the major cities of the Eastern Province of Saudi Arabia covering demographic characteristics, workload (e.g. the time spent at a computer workstation), and workstation environments including the number of monitors as well as the adjustability of the height of the workstation and the viewing distance. This survey of 263 radiologists was conducted in April 2019. It included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. The study outcome was the presence of disabling musculoskeletal symptoms in any body region, which restricted the performance of normal activities in the last 12 months. Results were analyzed descriptively using a Chi-square test and logistic regression analysis to estimate the odd ratio of experiencing disabling musculoskeletal symptoms in the last 12 months. Results : The survey was completed by 198 participants (111 men and 87 women) with a response rate of 75.3%. Most participants (71.2%) were aged below 40 years. A multivariate logistic regression analysis revealed being a female radiologist (OR = 2.7; 95% CI: 1.2–6.5), aged 30–39 years (OR = 4.1; 95% CI: 1.1–15.3), and predominantly reviewing computed tomography (CT) images (OR = 4.1; 95% CI: 1.4–12.3) or ultrasound scans (OR = 5.9; 95% CI: 1.4–25.3) were associated with higher prevalence of disabling musculoskeletal symptoms, compared to those aged below 30 years and those who reviewed various imaging modalities, respectively. Conclusions : Musculoskeletal symptoms are common among radiologists with lower back and neck pain being the most frequent complaints. Being a female radiologist, aged 30–39 years, and reviewing CT or ultrasound scans were associated with higher rates of disabling musculoskeletal symptoms.

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Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

10.21203/rs.2.14209/v2 ◽

2019 ◽

Author(s):

Malak Al Shammari ◽

Ali Hassan ◽

Omran Al Dandan ◽

Mohammed Al Qadeeb ◽

Dalal Bubshait

Keyword(s):

Logistic Regression ◽

Saudi Arabia ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Online Survey ◽

Medical Images ◽

Musculoskeletal Symptoms ◽

Multivariable Logistic Regression Analysis ◽

Cross Sectional ◽

Computed Tomography Images

Abstract Background : Musculoskeletal disorders account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains, predisposing them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists tend to spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and to the factors that contribute to these symptoms. Methods : An online survey was sent to radiologists practicing in hospitals in the Eastern Province of Saudi Arabia. The survey addressed demographic characteristics, workload, and workstation environments, and included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. Results were analyzed descriptively using the Chi-square test and logistic regression analysis. Results : The survey was completed by 198 participants (111 men and 87 women). Most participants were aged below 40 years. The proportions of radiology residents, specialists, and consultants who completed the survey were 40.9%, 27.3%, and 27.3%, respectively. Most participants spent 7-9 hours per day reviewing medical images. In total, 140 (70.7%) participants had experienced musculoskeletal symptoms in the week preceding the survey, whereas 176 (88.9%) participants reported having symptoms in the last 12 months preceding the survey. The normal daily activities of 15.2%, 14.6%, and 14.6% of survey participants were restricted in the last 12 months, due to neck, lower back, and shoulder pain respectively. Significant contributing factors for musculoskeletal symptoms included age, sex, number of hours spent reviewing medical images, and the type of medical images predominantly reviewed. A multivariable logistic regression analysis revealed that radiologists who spent most of their time performing ultrasound scanning or reviewing computed tomography images were at higher risk of developing musculoskeletal symptoms. Conclusions : Musculoskeletal symptoms are common among radiologists. The high prevalence rate among our study participants indicates the need for preventive actions, such as increasing awareness of this issue among practicing radiologists, educating practitioners about the adverse effects of prolonged sitting, and providing training to ensure proper ergonomic practices.

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Musculoskeletal Symptoms among Radiologists in Saudi Arabia: A Multi-Center Cross-Sectional Study

10.21203/rs.2.14209/v1 ◽

2019 ◽

Author(s):

Malak Al Shammari ◽

Ali Hassan ◽

Omran Al Dandan ◽

Mohammed Al Qadeeb ◽

Dalal Bubshait

Keyword(s):

Logistic Regression ◽

Saudi Arabia ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Online Survey ◽

Medical Images ◽

Musculoskeletal Symptoms ◽

Multivariable Logistic Regression Analysis ◽

Cross Sectional ◽

Computed Tomography Images

Abstract Background : Musculoskeletal disorders account for the majority of work-related illnesses resulting in a significant economic burden on society. Computer users are subject to unique repetitive strains, predisposing them to musculoskeletal symptoms. In the digitalized field of radiology, radiologists tend to spend long hours interpreting medical images on computers. This study aimed to determine the prevalence of musculoskeletal symptoms among radiologists in Saudi Arabia and to the factors that contribute to these symptoms. Methods : An online survey was sent to radiologists practicing in hospitals in the Eastern Province of Saudi Arabia. The survey addressed demographic characteristics, workload, and workstation environments, and included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. Results were analyzed descriptively using the Chi-square test and logistic regression analysis. Results : The survey was completed by 198 participants (111 men and 87 women). Most participants were aged below 40 years. The proportions of radiology residents, specialists, and consultants who completed the survey were 40.9%, 27.3%, and 27.3%, respectively. Most participants spent 7-9 hours per day reviewing medical images. In total, 140 (70.7%) participants had experienced musculoskeletal symptoms in the week preceding the survey, whereas 176 (88.9%) participants reported having symptoms in the last 12 months preceding the survey. The normal daily activities of 15.2%, 14.6%, and 14.6% of survey participants were restricted in the last 12 months, due to neck, lower back, and shoulder pain respectively. Significant contributing factors for musculoskeletal symptoms included age, sex, number of hours spent reviewing medical images, and the type of medical images predominantly reviewed. A multivariable logistic regression analysis revealed that radiologists who spent most of their time performing ultrasound scanning or reviewing computed tomography images were at higher risk of developing musculoskeletal symptoms. Conclusions : Musculoskeletal symptoms are common among radiologists. The high prevalence rate among our study participants indicates the need for preventive actions, such as increasing awareness of this issue among practicing radiologists, educating practitioners about the adverse effects of prolonged sitting, and providing training to ensure proper ergonomic practices.

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Methods of Radiology Reports Generation and Patterns of Associated Musculoskeletal Symptoms: A Cross-Sectional Multi-Center Study

10.21203/rs.3.rs-16289/v1 ◽

2020 ◽

Author(s):

Omran Al Dandan ◽

Ali Hassan ◽

Hind Alsaif ◽

Malak Al Shammari ◽

Danya Gari ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Online Survey ◽

Musculoskeletal Symptoms ◽

Multivariable Logistic Regression Analysis ◽

Chi Square ◽

Cross Sectional ◽

Radiology Reports ◽

Multi Center Study

Abstract Objectives This study aimed to investigate the association between the methods used to generate radiology reports and the prevalence of musculoskeletal symptoms among radiologists. Additionally, we investigated the factors associated with the use of such methods. Methods An online survey was sent to radiologists practicing in hospitals in the Eastern Province of Saudi Arabia. The survey addressed demographic characteristics, work environment, and methods used to generate radiology reports and included an evaluation of musculoskeletal symptoms using the Nordic Musculoskeletal Questionnaire. Results were analyzed descriptively using the Chi-square test and logistic regression analysis. Results The survey was completed by 198 radiologists (111 men and 87 women), including residents (40.9%), specialists (27.3%), and consultants (31.8%). Most participants (71.2%) were aged below 40 years. In total, 140 (70.7%) participants had experienced musculoskeletal symptoms in the week preceding the survey. The most popular method used to generate radiology reports was typing using a keyboard, with 64.1% of participants using this method, followed by a handheld dictation device (49.5%). Radiologists with limited years of practice more frequently generated reports via keyboard typing, particularly those with <1-year of experience (35.8%). A multivariable logistic regression analysis revealed that radiologists who used handheld dictation devices were at higher risk of developing musculoskeletal symptoms. Conclusions Musculoskeletal symptoms are common among radiologists. Radiologists who use handheld dictation devices were particularly likely to report experiencing musculoskeletal symptoms. These devices were less commonly used among radiologists with fewer years of experience.

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Investing Behaviour of the IT Millennials with Respect to Retirement Planning

Asian Journal of Empirical Research ◽

10.18488/journal.1007/2019.9.8/1007.8.188.201 ◽

2019 ◽

Vol 9 (8) ◽

pp. 188-201

Author(s):

Rashmy Moray ◽

Vanishree Pabalkar ◽

Nema Buch

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Predictive Model ◽

Logistic Regression Analysis ◽

Financial Planning ◽

Representative Sample ◽

Retirement Planning ◽

Demographic Variables ◽

It Industry ◽

The Relationship

The objective of this study is to identify the demographic factors and behavioural biases affecting the financial planning of the Millennials. For this purpose the investing behaviour of the Millennials in the IT Industry as a representative sample with respect to retirement planning has been studied using the Retirement Wellness Score. Logistic regression analysis was performed to determine the likelihood of whether the Millennials are ready for retirement with the main aim of showing the relationship between the study variables. An attempt has been made to develop a predictive model that would help in determining the Millennials’ readiness for retirement given their demographic variables and dominant bias presence. This research contributes to developing an understanding of Millennials’ financial planning for retirement.

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Socio-economic and demographic correlates of stunting among adolescents of Assam, North- east India

Anthropological Review ◽

10.1515/anre-2016-0030 ◽

2016 ◽

Vol 79 (4) ◽

pp. 409-425 ◽

Cited By ~ 11

Author(s):

Melody Seb Rengma ◽

Kaushik Bose ◽

Nitish Mondal

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Multiple Logistic Regression Analysis ◽

Demographic Variables ◽

Multiple Logistic Regression ◽

North East India ◽

North East ◽

Demographic Correlates ◽

Height For Age

AbstractThe prevalence of stunting (low height-for-age) is a key indicator of long-term chronic undernutrition which reflects an anthropometric failure to reach linear growth potentials due to prolonged food deprivation and/or disease or illness during the early stage of life. The present study assesses the prevalence and socio-economic and demographic correlates of stunting among adolescents of the North-east India. This cross-sectional study was undertaken among 1,818 (830 boys; 988 girls) adolescents (aged 10-18 years) belonging to ethnically heterogeneous populations of Karbi Anglong district of Assam, using stratified random sampling method. Anthropometric measurements of height and weight were recorded using standard procedures. Socio-economic and demographic variables were obtained using pre-structured schedule. The age-sex specific L, M and S reference values were used to calculate height-for-age Z-score (HAZ). According to WHO, HAZ found to be <−2SD was classified as stunting. The data were analysed using descriptive statistics, t-test, ANOVA, chi-square analyses, binary and step-wise multiple logistic regression analysis in SPSS (version, 17.0). The prevalence of stunting was observed to be significantly higher among boys (48.4%) than girls (37.8%) (p<0.01). Age-sex specific prevalence was found to be higher among boys than girls aged 14-18 years and contrary were observed among girls aged 10-14 years (p>0.05). The binary logistic regression analysis showed that several socio-economic and demographic variables were significantly associated with stunting (p<0.05). The step-wise multiple logistic regression analysis showed that sex (boys), age groups (13-15 years and 16-18 years), father’s occupation (cultivator) and Rupees ≤5000 household income was significantly associated with stunting (p<0.05). Appropriate nutritional intervention programmes and dissemination of knowledge at population level related to undernutrition are necessary to ameliorate their nutritional status.

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EFEK FAKTOR DEMOGRAFI DAN KARAKTERISTIK BISNIS ONLINE TERHADAP MINAT PENGAJUAN KREDIT MIKRO

MIX JURNAL ILMIAH MANAJEMEN ◽

10.22441/mix.2019.v9i1.009 ◽

2019 ◽

Vol 9 (1) ◽

pp. 141

Author(s):

Fermico Karambut ◽

Hartoyo . ◽

Rita Nurmalina ◽

Mukhamad Najib

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Financial Institutions ◽

Online Survey ◽

Sampling Method ◽

Business Association ◽

Descriptive Information ◽

Online Business ◽

Convenience Sampling ◽

Selection Of

This study aimed to see whether intention of applying for microcredit was influenced by factors of demographic and online business characteristics. The selection of respondents used convenience sampling method by collecting qualitative and descriptive information through online survey to 235 online seller who were members of the Indonesian Online Business Association (APOI). The results of the study using logistic regression analysis proved that only the type of online business that was significantly related to the intention of applying for micro credit. Financial institutions should offer credit products that are suitable for the type of online business to increase intention. Further research based on the type of business and online products will provide better overview of online MSME intnetion models.

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