Psychological Network Analysis for Risk and Protective Factors of Problematic Social Media Use by Suzan M. Doornwaard, Vladimir Hazeleger, Ina M. Koning, Albert Ali Salah, Sven Vos, Regina J. J. M. van den Eijnden

“…To address these gaps, this study combines logistic regression and psychological network analysis to examine which personal, parent, and peer factors are most relevant in identifying at-risk/problematic social media use among adolescents. …”
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THE SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE PROBLEM OF MIGRATION PROCESSES MODELING IN THE SUBJECTS OF THE RUSSIAN FEDERATION by R. V. Fattakhov, M. M. Nizamutdinov, V. V. Oreshnikov

“…We applied the methods of structural, dynamic and factor, correlation and regression analysis. We calculated a set of regression equations describing the relationship between the obtained indicators of social, economic, financial development of the territory and the coefficients of migration growth, taking into account the territorial belonging of the regions, and allowing to conduct model experiments to predict the level of migration in individual regions and in the context of territorial macro-systems. …”
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Analysis of Risk Factors Affecting Skin Mastocytosis in Children: Cross-Sectional Study by Elena I. Kasikhina, Larisa S. Kruglova, Mariya O. Vashchenko, Roman Y. Mayorov

“…The aim of the study was to analyze risk factors associated with clinical manifestations and regression time of skin mastocytosis in children.Methods. …”
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Analysis of influencing factors of increased intracranial pressure in patients with cerebral venous thrombosis by DING Hong-yan, XIE Ya-nan, DONG Qiang

“…The clinical data of the patients were analyzed, and univariate and multivariate stepwise Logistic regression analyses were used to screen the influencing factors for increased ICP. …”
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Related factor analysis of anemia in patients with type 2 diabetic kidney disease by Zhang Jing, Chen Guang-mei, Fan Wen-xing, Su Feng

“…Objective To explore the related factors of anemia in patients with type 2 diabetic kidney disease（DKD）.Methods In this retrospective study, 334 patients with a clinical diagnosis of type 2 DKD were recruited and divided into anemia and non-anemia groups.The relationships of anemia with clinical manifestations and laboratory findings were analyzed.Binary Logistic regression analysis was performed for evaluating the related factors in type 2 DKD patients of different genders.Results Significant inter-group differences existed in complement（C4）,serum creatinine（Scr）,cystatin C（CysC）,retinol binding protein（RBP）,ferritin（SF）,urinary albumin/creatinine（UACR）,diabetes duration, body mass index（BMI）,hemoglobin（Hb）,glycosylated hemoglobin（HbA1 c）,complement（C3）,albumin（Alb）,indirect bilirubin（IDBIL）,estimated ball filtration rate（eGFR）,cholesterol（TC）,iron（Fe）and calcium（Ca）for males（P<0.05）;for females, Scr, CysC,RBP,UACR,Hb, Alb, Fe, IDBIL,eGFR,C3 and Ca were significantly different between two groups（P<0.05）.Logistic regression analysis showed that BMI,eGFR and Alb were associated with anemia in males（P<0.05）;BMI,eGFR and Ca were correlated with anemia in females（P<0.05）.Conclusions Anemia in type 2 diabetic kidney disease patients is closely correlated with deterioration of renal function, disorder of iron metabolism, hypocalcemia, malnutrition and microinflammation.…”
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Spatial and multilevel analysis of determinant factors for safely managed sanitation services in Ethiopia by Belay Desye, Abebe Kassa Geto, Chala Daba, Anmut Endalkachew Bezie, Semere Reda, Tadesse Sisay, Melaku Getachew, Leykun Berhanu

“…SaTScan version 10.2.5 software was used for detecting and analyzing clusters. To identify determinant factors of unimproved sanitation services, a multilevel logistic regression model was employed. …”
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Factor Analysis of the Effect of Hepatitis B-Related Liver Cancer Treatment Efficacy by Liu SW, Zhou Y, Feng XY, Hai L, Ma WL, Ma LN, Ding XC, Luo X

“…Statistical methods, including Kaplan-Meier analysis, the Log rank test, and Cox regression analysis, were used to evaluate independent factors affecting patient prognosis.Results: Factors such as tumor size, tumor number, vascular invasion, extrahepatic metastasis, stage (CNLC and BCLC), and alpha-fetoprotein (AFP) level significantly affected OS and PFS (P &lt; 0.05). …”
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Economic Growth Stimulant in Nigeria: Components and Combined Analysis by Francis E. Andem, Weniebi Zibigha, Francis I Ogosi

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Analysis of the incidence of post-cholecystectomy diarrhea and its influencing factors in Hainan Province by Fengjiao Mao, Daya Zhang, Xianfeng Huang, Da Li, Wenrui Chen, Fan Zeng, Chen Chen, Shimei Huang, Yanting Lv, Yuliang Huang, Runyu Chen, Ying Mo, Qiuli Nie, Shuo Zhou, Xiaodong Zhang, Qicen Yao, Yiping Du, Bo Ran, Yan Tan, Na Liu, Yunqian Xie, Feihu Bai

“…Binary logistic regression analysis showed that age (OR = 0.532, P = 0.010), BMI (OR = 40.615, P < 0.001), dietary patterns (OR = 0.635, P = 0.013), and history of diabetes (OR = 0.263, P < 0.001) were independent risk factors. …”
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Analysis of outcomes and risk factors in peritoneal dialysis patients in a single center by YUAN Ming, QIAO Yu-feng, YAN Yan, LI Xiao-xia, XUE Fu-ping, LIU Hong-yan, WANG Li-hua

“…Objective To analyze the clinical data of peritoneal dialysis(PD)patients in the Second Hospital of Shanxi Medical University,and to explore the outcomes of patients with PD and the risk factors.Methods The clinical data of patients with maintenance peritoneal dialysis from January 2009 to June 2019 in the Second Hospital of Shanxi Medical University were collected by retrospective study.The chi-square test and log rank test were used for single factor analysis.Multivariate analysis was performed using a multivariate stepwise COX regression model to discuss the adverse outcomes and risk factors of peritoneal dialysis patients.Results Among 258 patients with maintenance peritoneal dialysis,the ones with chronic glomerulonephritis accounted for 42.2%,the ones with diabetic nephropathy 32.9%;97 ones withdrew from peritoneal dialysis with a withdrawal rate of 37.60%.Among the patients with withdrawal from peritoneal dialysis,49 ones changed from peritoneal dialysis to hemodialysis,accounting for 19.0%;39 ones died,accounting for 15.1%;4 ones underwent renal transplantation,accounting for 1.6%;5 patients lost their follow-up visit.Through single factor and multi factor analysis,the complication of cardiovascular and cerebrovascular diseases(HR=2.599,95%CI:1.340～5.043,P=0.005),24-hour urine volume less than 400 mL(HR=0.207,95%CI:0.085～0.501,P<0.001),creatinine less than 707 μmol/L(HR=3.259,95%CI:1.682～6.316,P<0.001)were the independent risk factors for death in patients with peritoneal dialysis.The incidence of peritonitis(HR=3.548,95%CI:1.882～6.691,P=0.000),neutrophil percentage greater than 70%(HR=0.543,95%CI:0.302～0.977,P=0.042),uric acid greater than 360 μmol/L(HR=0.352,95%CI:0.168～0.735,P=0.005),total cholesterol greater than 5.7 mmol/L(HR=0.368,95%CI:0.160～0.931,P=0.034)were the independent risk factors for change to hemodialysis.Conclusions The outcomes of patients who withdraw from peritoneal dialysis in our center are mainly death and change to hemodialysis.The complication of cardiovascular and cerebrovascular diseases,24-hour urine volume less than 400 mL,and creatinine less than 707 μmol/L are independent risk factors for death in patients with peritoneal dialysis.Peritonitis,neutrophil percentage greater than 70%,uric acid greater than 360 μmol/L,total cholesterol greater than 5.7 mmol/L are independent risk factors for change to hemodialysis.…”
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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

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Analysis of sleep quality and influencing factors in migraine patients with patent foramen ovale by Hu Yijun, Zhang Diwen, Wang Libo, Liu Bo, Ye Hongmei, Zhao Xiongfei

“…PFO patients was diagnosed through c-TCD combined with c-TTE. Binary logistic regression analysis was employed to examine the influencing factors of sleep quality in PFO-positive migraine patients.ResultsA total of 673 （100.00%） migraine patients were enrolled， including 223 PFO-positive cases （33.14%） and 450 PFO-negative cases（66.86%）. …”
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Spatiotemporal evolution of agricultural carbon emissions intensity in China and analysis of influencing factors by Xue Zhu, Xiwu Shao

“…Abstract This study aims to investigate the spatiotemporal evolution of China’s agricultural carbon emissions intensity and their influencing factors from 2001 to 2022. It employs analytical methods such as kernel density estimation, Gini coefficient, Moran’s index, spatial Markov analysis, and spatiotemporal geographically weighted regression (GWTR) to visualize the data and analyze the results. …”
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Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation by V. N. Yur’ev, D. M. Dybok

“…As a result there were drawn two tables: 1) with the Euclidian distances; 2) with the regression models and the meaningful factors. Thereby, regions were grouped. …”
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Analysis of the Current Status and Influencing Factors of Social Alienation in Adolescent Scoliosis Patients by Yi Zeng, Qin Fu, Xia Li

“…Multivariate linear regression analysis was employed to identify independent factors influencing social alienation. …”
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Analysis of factors, associated with the probability of antihypertensive medication in the population of patients with arterial hypertension by V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva

“…Aim. To analyze factors associated with the probability of antihypertensive drugs (AHD) receiving in the population of patients with arterial hypertension (AH). …”
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Analysis of clinical characteristics and risk factors of recurrent Clostridioides difficile infection in children by Jin-Yue Huang, Ning Wang, Jing-Yao Wang, Hua-Chu Zuo, Juan Li, Yu Zhao

“…Logistic regression was used to compare clinical data and analyze risk factors for CDI recurrence. …”
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Prolonged Hospital Stay in Hypertensive Patients: Retrospective Analysis of Risk Factors and Interactions by Stanisław Surma, Michał Czapla, Izabella Uchmanowicz, Raúl Juárez-Vela, Łukasz Pietrzykowski, Bartosz Uchmanowicz, Marcin Leśkiewicz, Krzysztof Griesmann, Michał Burzyński, Jacek Smereka, Łukasz Lewandowski

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Analysis of factors influencing the burden on family caregivers of disabled older adults in Guangzhou by Danrong Lin, Danrong Lin, Junbin Liao, Yanxi Liu, Yuquan Zhong, Jingyun Pan, Heng Fang, Yunfeng Lin, Yilu Yao, Jiewen Su, Bingjie Hu, Bingjie Hu, Wei Zhu, Wei Zhu

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Effects of nitrogen levels on soil respiration of sympodial bamboo plantation and factor analysis by LI Weicheng, WANG Shuguang, SHENG Haiyan, ZHENG Youmiao, WANG Shudong, ZHONG Zheke

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