scholarly journals Analysis of factors of pulmonary fungal infection in mice in respiratory medicine department based on logistic regression analysis model and Progranulin

2020 ◽  
Vol 27 (2) ◽  
pp. 629-635
Author(s):  
Jingya Wang ◽  
Quan Zu ◽  
Wei Wang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Fungal Infection ◽  
Logistic Regression Analysis ◽  
Respiratory Medicine ◽  
Analysis Model ◽  
Medicine Department

scholarly journals Decreased eGFR Is Associated With Ischemic Stroke in Patients With Dilated Cardiomyopathy

2019 ◽  
Vol 25 ◽  
pp. 107602961986690 ◽  
Author(s):  
Yuqing Deng ◽  
Zhiqing Chen ◽  
Lili Hu ◽  
Zhenyan Xu ◽  
Jinzhu Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Dilated Cardiomyopathy ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Analysis Model ◽  
Multivariate Logistic Regression ◽  
Increased Risk

Dilated cardiomyopathy (DCM) is increasingly indicated as a cause of cardioembolic syndrome, in particular, cardioembolic ischemia stroke. However, the potential risk factors for stroke among DCM patients remain under investigated. DCM patients hospitalized from June 2011 to June 2016 were included. The cases were defined as the group of DCM patients with stroke compared with those without stroke. Clinical characteristic data were collected and compared between the two groups including demographic data, complicated diseases, echocardiography index, and laboratory parameters and estimated glomerular filtration rate (eGFR). A multivariate logistic regression analysis model adjusted by sex and age was used to explore the related risk factors for stroke in DCM patients. A total of 779 hospitalized patients with DCM were included. Of these, 55 (7.1%) had experienced a stroke. Significantly lower eGFR levels (68.03 ± 26.22 vs 79.88 ± 24.25 mL/min/1.73 m2, P = .001) and larger left atrial diameters (45.32 ± 7.79 vs 43.25 ± 7.11 mm, P = .04) were found in the group of patients having DCM with stroke compared to those without stroke. When the eGFR was categorized as eGFR >60, 30<eGFR≤ 60 and eGFR ≤ 30, there were more patients with 30<eGFR≤ 60 (30.9% vs 17.7%) and eGFR≤ 30 (9.1% vs 3.3%) in the ischemic stroke group ( P = 0.003). A multivariate logistic regression analysis model adjusted by sex and age showed that 30 <eGFR≤60 (odds ratio [OR]: 2.07, 95% confidence interval [CI]: [1.05-4.07], P = .035) and eGFR≤30 (OR: 4.04, 95% CI: [1.41-11.62], P = .009) were statistically associated with ischemic stroke in patients with DCM. It is concluded that decreased eGFR is significantly associated with an increased risk of ischemic stroke in patients with DCM.

scholarly journals THE RELATIONSHIP BETWEEN FAMILY FUNCTIONS AND RISKY SEXUAL BEHAVIOR IN INDONESIA IN 2018: A PMA DATA ANALYSIS

2021 ◽  
Vol 10 (1) ◽  
pp. 94
Author(s):  
Diah Puspita Sari ◽  
Mario Ekoriano ◽  
Aditya Rahmadhony
Keyword(s):  
Logistic Regression ◽  
Sexual Behavior ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Sexual Behaviors ◽  
Risky Sexual Behavior ◽  
Age Groups ◽  
Adolescent Sexual Behavior ◽  
Analysis Model ◽  
The Relationship

This analysis aimed to examine the relationship between family development and risky adolescent sexual behavior in Indonesia. The data were taken from the 2018 Performance and Accountability Survey with a family and adolescent questionnaire; thus, the relationship between parents and adolescents could be identified. The statistical analysis methods used were descriptive and inferential analyses, with the unit of analysis being 15,556 teenagers who dated. The results of the logistic regression analysis (Model 1) by using all the independent variables simultaneously found that sexual risk behavior was mostly found in in boys, age categories 20-24 years, and participants who never had access to PIK-R. Risky sexual behavior was also dependent on whether participants agreed to have relations sexual before marriage, and also the level of education of their parents. The logistic regression analysis (Model 2) found residence, gender, level of adolescent education, age categories, agreement to have sexual relations before marriage, age groups of head of family, gender of head of family, education level of head of family, work status of head of family, economic status, and the activeness of the BKR activities contributed to adolescents committing risky sexual behaviors.

scholarly journals Personality, Gender, Culture, and Entrepreneurial Intentions of Undergraduate Student: Binary Logistic Regression

2020 ◽  
Vol 8 (2) ◽  
pp. 128-143
Author(s):  
Bambang Mardisetosa ◽  
Khusaini Khusaini ◽  
Gumelar Widia Asmoro
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Entrepreneurial Intention ◽  
Entrepreneurial Intentions ◽  
Measurement Scale ◽  
Dominant Factor ◽  
Binary Logistic Regression Analysis ◽  
Analysis Model

In the last two decades, empirical studies on entrepreneurship had been increasing, especially the object of study of student entrepreneurial intention. The objective of this study was to examine the empirical evidence about significant factors and the most dominant factor (having the highest rank) influencing entrepreneurial intention of Islamic Shekh-Yusuf University students. This study used a descriptive quantitative approach that was a binary logistic regression analysis model with a sample of 382 respondents from a population of 4.058 students. Data obtained using a questionnaire tested for validity and reliability. Measurement scale used a Likert scale, and the distribution of questionnaire was accidental sampling technique. Based on binary logistic regression analysis, it showed that personality and situational significantly influenced students entreprenurial intentions, while culture and gender were not significant. The contribution of this research was as input to the university about the importance of developing students' entrepreneurial interets and talents so that graduates could contribute to reducing unemployment.  

scholarly journals Risk Prevention of the Rural Idle Homesteads Transfer in Nanhai District of Foshan City based on the System for Separating Rural Land Ownership Rights

2021 ◽  
Vol 13 ◽  
pp. 191-198
Author(s):  
Jinwei Huang ◽  
Haoyi Chen
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Land Reform ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Analysis Model ◽  
Rural Land ◽  
Foshan City ◽  
Ownership Rights

With the comprehensive deepening of the new round of rural land reform and the acceleration of urbanization, we urgently need to pre-judge and protect the risks in the process of homestead transfer, to clarify, correct and summarize the deficiencies of the transfer system, and to develop, perfect and innovate in practice, so as to reduce the risks encountered by farmers in the process of transferring Homestead, and strengthen farmers' willingness to transfer. Taking Nanhai District of Foshan City, one of the 33 pilot projects of the System for Separating the Ownership rights as an example, this paper analyzes and summarizes the risk factors in the process of rural idle homestead transfer from the perspective of farmers by using the method of questionnaire survey and binary logistic regression analysis model. Through logistic regression analysis, it is found that farmers' willingness to transfer homestead in Nanhai District are significantly connected with six variables including farmer's occupation and number of homestead. Based on the regression results, this paper will put forward countermeasures to local government to avoid the risk of homestead transfer for the sake of better homestead circulation.

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

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