Risk factors of catheter-related blood stream infection associated with chronic hemodialysis diabetics with cuffed dialysis catheter in Baoding area by Li Xiao-dong, Li Xin-yue, Li Bao-xin, Wang Xiang-dong, Tang Guan-ying

“…P<0.05 was deemed as statistically significant and multi-factor Logistic regression analysis was performed. Results There were 26 cases of CRBSI with an incidence rate of 2.4 thousand duct day; 29 strains of pathogenic bacteria were detected with predominantly Staphylococcus aureus（34.48%）,followed by Staphylococcus epidermidis and Pseudomonas aeruginosa（13.79%）. …”
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Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

“…Additionally, multi-factor logistic regression analysis identified clinical predictors associated with PD-RBD, and these clinical features were integrated with the radiomics signatures to develop predictive models using various machine learning algorithms. …”
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Modeling and statistical analysis of the impact of environmental factors on aquatic biodiversity by Kozlova Anastasia, Solovieva Tatiana, Kurashkin Sergei, Bricotnin Maxim, Kandaurova Natalia

“…The work employed correlation, factor, and regression analysis methods, which revealed significant relationships between ecological characteristics and amphibian species abundance. …”
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Internet addiction and its influencing factors among middle school students in Hunan province: a cross-sectional study by Fei WANG, Lixi QIN, Zhuoga NIMA, Yaqing TAN, Miyang LUO, Yanhua CHEN, Jiayou LUO

“…The chi-square test was used to compare the differences in internet addiction detection rates between groups, and multi-factor logistic regression analysis was used to analyze the influencing factors of internet addiction. …”
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PROJECT SUCCESS AND INDIVIDUAL ENTREPRENEURIAL ORIENTATION OF PROJECT MANAGERS: RUSSIAN CONTEXT by C. A. Titov, R. D. Pathak, A. A. Tsymbal

“…The collected data were examined using factor and regression analysis. The findings indicate that there is a negative relationship between the entrepreneurial nature and such indicators of project success as internal efficiency, preparation for the future, and results for clients. …”
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From taste to recommendation: An analysis of factors shaping eWOM at gastronomic events in Vojvodina (R. Serbia) by Vukolić Dragan, Gajić Tamara, Milošević Srđan

“…Data were analysed using factor and regression analysis. The findings indicate a positive correlation between various factors, including gastronomic motivation, social and emotional experiences, pre-visit information-seeking behaviour, post-visit evaluation, and behavioural outcomes related to eWOM. …”
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Analysis of risk factors for hyperlipidemia in 1233 maintenance hemodialysis patients by LUO Deng-gui, QI Ai-rong, XU Yuan-zhao, FU Bo, YANG Jun, YANG Dong

“…Multiple factor Logistic regression analysis revealed that sex and blood calcium were closely related to hyperlipidemia in patients with MHD,and HP was an importantly protective factor for hyperlipidemia in MHD patients( P < 0. 05). …”
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Association of restless legs syndrome with malnutrition,inflammation and sleep quality in hemodialysis patients by HUANG Hua-xing, SHEN Liang-lan, ZHANG Fen, WANG Chen, FANG Xing-xing, CHEN Dong-mei

“…Single factor Logistic regression analysis was used to analyze the related factors. …”
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Predictive Value of AIP and AGR for Non-alcoholic Fatty Liver Disease and Significant Liver Fibrosis by Zhang Simin, Zhou Changyu, Shi Xianquan, Huang Lizhen

“…SPSS 27.0 and R 4.4.0 were used to analyze the data, single-factor Logistic regression analysis was applied to screen the influencing factors of NAFLD, stepwise regression was applied to screen the variables, and multi-factor Logistic regression was performed to construct the prediction model and draw the column graph. …”
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Changes of serum tumor marker levels and analysis of risk factors in patients with chronic kidney disease by YU Jun-nan, LIU Cai-xia, ZHAO Nan, SUN Dong

“…Objective To investigate whether the expression of serum tumor markers in patients with chronic kidney disease(CKD)has changed,and to analyze the risk factors influencing the changes.Methods The serum tumor markers[including α-fetoprotein(AFP),carcinoembryonic antigen(CEA),CA125,CA199,CA153,TPSA],albumin(Alb),serum creatinine,hemoglobin levels,age and glomerular filtration rate(GFR)of 427 CKD patients and 420 healthy medical examiners from the Affiliated Hospital of Xuzhou Medical University were collected and compared for differences between the two groups.The relevant factors that lead to changes in tumor markers in patients with CKD were screened out by univariate analysis,and multi-factor logistic regression analysis were used to identify risk factors for elevated tumor indicators.Results There was no significant difference in serum TPSA between the CKD group and the healthy control group(P<0.05).The AFP level was lower than that of the healthy control group,and the difference was statistically significant(P<0.01).The levels of CEA,CA125,CA199,and CA153 were higher than those in the healthy control group,with statistically significantdifferences(P<0.01).Logistic regression analysis showed that decreased glomerular filtration rate was a risk factor for CEA elevation,serum albumin and hemoglobin decline were risk factors for CA125 elevation,serum albumin decrease was a risk factor for CA199 and CA153 elevation,and age was a risk factor for elevated TPSA.Conclusions The application value of TPSA in CKD patients is the same as that in the normal population.In the diagnosis of related tumors based on serum tumor indicators,a comprehensive analysis must be done in conjunction with factors such as patients’ age,renal function,serum albumin,and hemoglobin levels.…”
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EVALUATION OF THE THROMBOGENICITY OF THE VASCULAR ENDOTHELIUM IN PATIENTS IN THE ACUTE PHASE OF THE ISCHEMIC STROKE by E.V. MIKHAYLOV, I.N. PASECHNIK, O.P. BARANOVSKAYA, G.S GRIVKO

“…The results of factor and regression analysis showed their prognostic significance. …”
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An empirical study on the usage behavior of mobile health management service systems for flight attendants in the digital Age by Yuting Liu, Yuting Liu, Haiyan Li

“…This study deeply explores the use behavior and influencing factors of mobile health management service systems for flight attendants in the context of the "Digital age".MethodsThe study mainly adopted the questionnaire survey method, used SPSS24.0 and AMOS24.0 software for data analysis, and used statistical methods such as factor analysis, regression analysis, and path analysis to verify the effectiveness of the model and explore the relationship between key variables.Results(1) The usage rate of the health management service system among flight attendants is not as high as expected, but the use rate of sports health monitoring applications reached 66.5%, and the daily frequency of use was as high as 25.52%, (2) Perceived ease of use and perceived usefulness have a positive and significant impact on intention to use, (3) Privacy concerns have a positive impact on intention to use Significant negative impact.ConclusionThe study points out that ease of use and usefulness are key factors in attracting flight attendants to use mobile health management service systems. …”
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Predictive values of neck circumference and TyG index on polycystic ovary syndrome with metabolic syndrome by Yixuan Liu, Aihong Liu, Xiangyu Xu, Huali Wang, Qinghai Wang, Xianwei Huang, Ping Liu

“…ANOVA, multi-factor logistic regression analysis and ROC curve prediction analysis were performed. …”
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Estimativa de modelos de preços hedônicos para locação residencial em Porto Alegre by Marco Aurélio Stumpf Gonzalez, Carlos Torres Formoso

“…The data were tested by factor and regression analysis, with the compilation of econometric models (hedonic). in various aggregation levels. …”
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Prevalence and factors associated with anxiety and depression among the older people in ethnic minority areas in southern China: a cross-sectional study by Suyi Wu, Liu Yang, Haini Mo, Li Li, Zirong Li, Yanping Ying

“…Descriptive analysis, univariate analysis, and two-factor logistic regression analysis were employed to explore the influencing factors of depression and anxiety among the older people in ethnic minority areas.ResultsThe prevalence rates of anxiety and depression were 11.42 and 15.94%, respectively. …”
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RISK FACTORS FOR THE EARLY NEONATAL MORTALITY IN NEWBORNS WITH VERY LOW AND EXTREMELY LOW BIRTH WEIGHT by О. V. Lebedeva, Т. А. Chikina

“…The association of risk factors with the early neonatal mortality was assessed by means of a multiple-factor logistic regression analysis. A critical p error level was set equal to 0.05. …”
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Predictive value of hemoglobin, serum PAF, and IL-17 in patients with radiation enteritis complicated with intestinal obstruction and construction and validation of predictive mode... by Meng Wang, Yang Zhao, Wenqiang Ren

“…The decision curve analysis (DCA) was used to evaluate the value of clinical application.ResultsMulti-factor Logistic regression analysis showed that diabetes, decreased hemoglobin level, increased serum PAF and IL-17 levels, CRP, were the independent risk factors for intestinal obstruction in patients with radiation enteritis (p &lt; 0.05). …”
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Elevated albumin-bilirubin score as a predictor of kidney stones in adults with type 2 diabetes mellitus: evidence from a cross-sectional study by Wenya Mo, Tao Zhou, Qifei Dong, Yuhan Chen, Xuechun Hu, Jun Xiao, Changming Wang, Ping Xiang

“…The main outcome of interest was the incidence of kidney stones, with the ALBI score serving as the primary exposure factor. Logistic regression analysis was performed to calculate the odds ratios and 95% confidence intervals for the association between ALBI score and kidney stones. …”
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Effectiveness of Failure Mode and Effects Analysis in managing skin complications in ICU psychiatric patients: a real-world study by Ping Zhang, Haiyan Zhu, Yuanyuan Qian, Minmin Chen, Lin Liu

“…FMEA analysis identified key risk factors, including positioning management, skin hygiene, and nutritional support, with corresponding Risk Priority Numbers (RPN) calculated for each factor. Logistic regression analysis revealed that FMEA implementation was significantly associated with a reduced risk of skin complications (coefficients = -1.44, p = 0.01). …”
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Relevancy Prediction of the Emerging Pathogens with Porcine Diarrhea by Logistic Regression Model by Benqiang Li, Jie Tao, Xin Li, Jinghua Cheng, Ying Shi, Pan Tang, Huili Liu

“…Furthermore, multiple-factor logistic regression analysis confirmed that PAstV, PKoV, bovine viral diarrhea virus (BVDV), and PEDV were closely related to porcine diarrhea. …”
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