Analysis of cognitive characteristics and influencing factors of mass sports rehabilitation in Taiyuan

2019 ◽  
Author(s):  
Yaye He ◽  
Jiangong Wang ◽  
Liangyuan Zhao
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health Status ◽  
Influencing Factors ◽  
Logistic Regression Analysis ◽  
Education Level ◽  
Factors Affecting ◽  
Exercise Rehabilitation ◽  
And Gender ◽  
Socio Economic Factors

Abstract Background: To assess the awareness regarding sports rehabilitation among residents of Taiyuan. Method: From September 27, 2018 to March 29, 2019, 1200 residents who met the inclusion/ criteria were selected using convenient sampling method. The population was surveyed by self-designed questionnaires, and single factor and two-category logistic regression analysis (stepwise forward method) was used to identify the factors influencing awareness of mass sports rehabilitation in Taiyuan. Results: A total of 1200 questionnaires were issued, of which 1167 were collected and 1101 were valid. The corresponding recovery and effective recovery rates were 97.25% and 94.34% respectively. The overall rate of awareness of exercise rehabilitation was 80.7%, and education level, occupation, income and health status were significant influencing factors (R<0.05). The results of two-class logistic regression analysis showed that age, occupation, education level, income level and health status were the influencing factors affecting the public's perception of the sports rehabilitation concept (R<0.05), whereas gender, occupation, education level and health status influenced understanding of the establishment of the rehabilitation department in Taiyuan (R<0.05), and gender, age, education level and health status affected understanding of the types of patients receiving rehabilitation (R<0.05). Conclusion: There is a high general awareness regarding sports rehabilitation, and is influenced by various socio-economic factors.

scholarly journals Factors Affecting Palm Farmers’ Decisions to Dispense Plantage-Product Zakat in Labuhanbatu Selatan Regency

2018 ◽  
Vol 3 (3) ◽  
pp. 13-24
Author(s):  
Amalia Agustin Syn ◽  
Khalifah Muhammad Ali ◽  
Didin Hafidhuddin
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Fresh Fruit ◽  
Factors Affecting ◽  
Fresh Fruit Bunches ◽  
The Many

Zakat is one of the five points in rukun Islam and consists of two types: zakat nafs (soul) and zakat maal (wealth). One of the many kinds of zakat maal is plantage-product zakat. Labuhanbatu Selatan Regency is an area that contains 160,785.04 hectares of palm plantation land as recorded in 2016. The area also produced 7,493,696.18 tons of Fresh Fruit Bunches (FFB) in the same year. The objective of this study is to identify the potential of plantage-product zakat (specifically palm plantage) and analyze the factors that affect farmers’ decision to dispense plantage-product zakat in Labuhanbatu Selatan Regency. Logistic regression analysis was the method of analysis used in this study. Based on data obtained from Dinas Perkebunan Provinsi Sumatera Utara 2016, the potential of plantage-product zakat in Labuhanbatu Selatan Regency reached 25.6 billion rupiahs in 2014; 21.6 billion rupiahs in 2015, and 370.4 billion rupiahs in 2016. The variables that significantly affected farmers’ decisions to dispense plantage-product zakat were comprehension of zakat, faith, rewards, Islamic study, and frequency of worship.

scholarly journals Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

2020 ◽  
Vol 7 (3) ◽  
pp. 848
Author(s):  
M. Mizanur Rahman ◽  
M. Taha Arif ◽  
Fready Luke ◽  
Santha Letchumi ◽  
Fatin Nabila ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Internet Use ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
The Internet ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

scholarly journals Investigation of Factors Affecting the Achievement of University Students with Logistic Regression Analysis: School of Physical Education and Sport Example

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824402090208
Author(s):  
Yeliz Eratlı Şirin ◽  
Mustafa Şahin
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Academic Success ◽  
Physical Education ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Factors Affecting ◽  
Course Success ◽  
Effective Factor ◽  
The Way

In this study, the factors affecting the success of university students were analyzed by logistic regression analysis. In the study, success variable was defined according to the survey information applied to 360 university students studying in School of Physical Education and Sport in Çukurova University and Kahramanmaraş Sütçü İmam University in Turkey, in 2017–2018 academic year. The relationship between the answers to the Likert-type scale questions affecting success variables and the course success was estimated by logistic regression analysis. According to the results of the research, because independent variables such as mother’s education status, age, and class were statistically insignificant, they were not included in the multivariate model. According to the findings, variables such as gender, the university they studied, the way they chose their department, and father’s education are seen as important in the growth of students’ academic success. In addition to this, the variables such as counseling about their profession, support of department’s instructors, and communication with instructor have been found to be considerably effective on success. It was observed that the way they chose their department (willingly–compulsorily) was the most effective factor, and father’s education was the second effective factor. As a result, the success levels of the students were found to differ according to the sociodemographic characteristics and their relations with the instructors. On the contrary, as the instructors’ guidance, support, and communication skills are effective contributors on student’s success, it has been concluded that instructors should take these factors into account.

scholarly journals Factors affecting the occurrence of proximal endoleak after endovascular abdominal aortic repair for abdominal aneurysms

2020 ◽  
Vol 48 (11) ◽  
pp. 030006052097151
Author(s):  
Daniela Mazzaccaro ◽  
Girolomina Mazzeo ◽  
Gianmarco Zuccon ◽  
Alfredo Modafferi ◽  
Giovanni Malacrida ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Aortic Aneurysms ◽  
P Value ◽  
Chi Square ◽  
Factors Affecting ◽  
Axial Diameter ◽  
Abdominal Aortic ◽  
Type Ia

Objective This retrospective study was performed to assess the clinical and radiological variables associated with proximal type IA endoleak (EL) in patients treated with elective endovascular repair for abdominal aortic aneurysms. Methods The chi-square test, t-test, and logistic regression analysis were performed as appropriate. A P value of <0.05 was considered statistically significant. Results The data of 79 patients were analyzed. No mortality occurred. During follow-up (median, 28.5 months; interquartile range, 12.8–43.0 months), 10 patients developed type IA EL. In the logistic regression analysis, undersizing of the endograft diameter by <10% significantly affected the occurrence of type IA EL. When the diameter was used for measurements, less oversizing was significantly associated with a higher risk of type IA EL. When the area was used for measurements, oversizing of >20% significantly affected the occurrence of type IA EL. Conclusion When sizing endografts, a discrepancy was noted between the measurements of the diameter and area of the proximal neck. The area might represent a more accurate measurement than the axial diameter to optimize the proximal sealing and lower the risk of developing type IA EL.

Association of baseline health and gender with small renal mass pathology.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 515-515
Author(s):  
Wassim Bazzi ◽  
Sheila Dejbakhsh ◽  
Melanie Bernstein ◽  
Jonathan A. Coleman ◽  
Paul Russo
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Tumor Size ◽  
Cancer Center ◽  
Cell Renal Cell Carcinoma ◽  
Factors Associated ◽  
Preoperative Serum ◽  
And Gender ◽  
Baseline Health

515 Background: Previous reports describe that 20% of small renal masses (SRM) are benign and women are twice as likely to have benign pathology. In this study we further explore the association of baseline health and gender with SRM pathology. Methods: After IRB approval, retrospective chart review of patients who have undergone nephrectomy at Memorial Sloan-Kettering Cancer Center from 05/1998 to 10/2012 with final path ≤ 4cm and staged as pT1a if malignant. Tumor size ≤ 4cm was chosen to limit the tumor mass effect on renal function. Patients with solitary kidney, multiple and bilateral tumors, and history of prior renal surgeries were excluded. Collected data included age, gender, race, ASA class for medical co−morbidities which were divided into low (I−II) and high (III−IV), procedure, preoperative serum creatinine, eGFR, and final pathology. eGFR was calculated using the CKD−Epi formula. Preoperative Chronic kidney disease (pCKD) was defined as eGFR < 60 mL/min per 1.73 m2. Malignant pathologies were clear cell renal cell carcinoma (RCC), papillary RCC and chromophobe RCC whereas benign were oncocytoma, angiomyolipoma and other. Logistic regression analysis was performed to determine clinical factors associated with malignant SRM. Results: Our cohort consisted of 1726 patients with mean age 59.7 yrs. 61% (n=1045) were men, 90% (n=1,553) were white, 43% (n=736) had high ASA, 89% (1,540) underwent partial nephrectomy, 30% (n=525) had pCKD, 83% (n=1426) with malignant pathology and mean tumor size 2.5cm. On bivariable analysis patients with malignant SRM had a higher proportion of men (64.3 vs. 42.7%, p<0.001), high ASA class (43.8 vs. 37.3%, p=0.041) and larger tumors (2.6 vs. 2.3, p<0.001). There were no differences in age, race, mean eGFR or proportion with pCKD. On logistic regression analysis by gender factors associated with malignant pathology in women were high ASA class (OR 1.57, 95% CI 1.07−2.32) and tumor size (OR 1.48, 95% CI 1.20−1.81), and in men tumor size only (OR 1.33, 95% CI 1.06−1.67). Conclusions: Our results are in line with previous reports on the association of male gender and larger tumor size with malignant SRM. In addition we do show that among women those with poor health have a higher likelihood for having a malignant SRM.

scholarly journals FACTORS AFFECTING ACCESS TO FORMAL CREDIT BY SMALLHOLDER FARMERS IN AN GIANG PROVINCE

2015 ◽  
Vol 18 (1) ◽  
pp. 28-39
Author(s):  
Ngoc Nhan Nhu Nguyen ◽  
Chinh Duc Pham
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Smallholder Farmers ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting ◽  
Five Factors ◽  
Household Assets ◽  
Loan Guarantees

This study was conducted to determinefactors that affect the access to formal credit by smallholder farmers in An Giang province. Applying binary logistic regression analysis on a sample of 210 households, we found that the access to formal credit by these households are affected by five factors, namely total value of household assets, participation in organizations, demand for loans from credit institutions, loan guarantees and accumulated income, in which the demand for loans has the greatest impact. From the regression results, we built a model to forecast the access to formal credit by households with 93.8%. precise forecastprobability.

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