Risk Factors of CVD in Different Ethnic Groups in Kyrgyzstan by Hossain Syed Azfar, Muiz Ibrahim, Kenesh Dzhusupov, Hans Orru, Inga Villa, Kati Orru

“…We used the chi‐square test to investigate differences between groups, and ANCOVA to determine differences between mean scores on analyzed variables. Logistic regression was used to analyze the relationship between independent and dependent variables. …”
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Impact of preoperative fasting duration and prostate mass on postoperative bleeding after transurethral enucleation of the prostate: A risk factor analysis by Zihui Gao, Jiazhao Cui, Chunji Wang

“…Objective This study explored the impact of preoperative fasting duration on patients who underwent transurethral enucleation of the prostate and analyzed the risk factors for postoperative bleeding. …”
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Shadow Investment Activity as a Factor of Macroeconomic Instability by Zolkover Andrii, Marin Georgiev

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Prediction correction modeling of water-conducting fracture zones height due to repeated mining in close distance coal seams by Zhuoran Kang, Daming Yang, Pengfei Shen

“…We developed a prediction model based on multiple regression analysis that incorporates the weighted influences of these factors, further refined into a multivariate nonlinear regression model for greater accuracy. …”
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FACTORS INFLUENCING MARKETED SURPLUS OF TOMATOES IN PUNJAB, PAKISTAN by Manan ASLAM, Hamza AKHTAR, Mudassar YASIN, Muhammad Ali IMRAN, Mahboob RIAZ

“…The frequencies and percentage of sampled respondents was calculated by using descriptive statistics. The impact of factors affecting tunnel tomato growers' marketed surplus was determined by using multiple regression analysis. …”
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Factors Affecting Mortality in Chronic Obstructive Lung Disease by Hasan Kahraman, Hatice Şahin

“…Multivariate logistic regression analysis revealed heart failure and lung cancer as significant factors for COPD mortality.Discussion and Conclusion: This study investigated the factors predicting mortality in COPD. …”
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High-quality development of metropolitan regions and its driving factors: A case study of the Xuzhou Metropolitan Region by ZHU Huxiao, OU Xiangjun, YANG Zhen, TANG Shuangshuang, XIAO Weidong

“…The obstacle degree model and quadratic assignment procedure (QAP) regression were used to explore its driving factors. …”
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Factors related to Hb-Var in maintenance hemodialysis patients by XIAO Xiao-fen, HUANG Hai-ming, WANG Xiao-qin

“…Objective To investigation and analysis the hemoglobin variability(Hb-Var) of maintenance hemodialysis(MHD) patients in the Hubei Provincial Hospital of Traditional Chinese Medicine and explore the factors related to Hb-Var.Methods The study enrolled 56 MHD patients in the Blood Purification Center,Hubei Provincial Hospital of Traditional Chinese Medicine between December 2013 and June 2014.Demographics and characteristics at baseline were collected.The doses of erythropoietin stimulating agents(ESAs) and intravenous doses of iron,and the number of adjusting ESAs,hemodiafiltration(HDF) and hemoperfusion(HP) were recorded during a follow-up period of 6months.The laboratory parameters including hemoglobin(Hb),calcium(Ca),phosphorus(P),immunoreactive parathyroid hormone(iPTH),serum ferritin(SF),and albumin(Alb) were determined at least three times during the follow-up period of 6 months.The Hb-Var was described by Hb coefficient of variation(Hb-CV) and fluctuation across threshold of the Hb level.The factors related to HbVar were analyzed.Results(1)There were 43 patients in the groups of Hb amplitude,accounting for76.79%;(2)Hb-CV was significantly different in gender,age,age of hemodialysis,vascular access for hemodialysis,dose of intravenous iron,and the number of adjusting ESAs(P<0.05);(3)Pearson correlation analysis revealed that Hb-CV was positively correlated with dose of the number of adjusting ESAs(r=0.757,P<0.05) and dose of intravenous iron(r= 0.757,P<0.05),but negatively with age of hemodialysis(r=-0.323,P<0.05),serum ferritin(r=-0.390,P<0.05) and albumin(r =-0.418,P<0.05),but not with age,calcium,phosphorus and immunoreactive parathyroid hormone;(4) Multiple regression analysis revealed that gender,vascular access for hemodialysis,the number of adjusting ESAs,dose of intravenous iron,and SF were independently associated with HbCV.Conclusions Hb-Var occurs commonly in maintenance hemodialysis patients,and it may be more obvious in the older.Fluctuation of Hb levels is closely associated with gender,vascular access for hemodialysis,and dose of intravenous iron.However,the relationship between Hb-Var and prognosis of CKD is still controversial,which needs more studies.…”
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Comparative Assessment of the Human Capital Impact on the Population Income in the European and Asian Regions of Russia by A. A. Aletdinova, A. V. Koritskiy, A. N. Shadrintseva

“…In the article, the authors use the extended Cobb-Douglas production function and conduct a regression spatial analysis based on data of the official Russian statistics.Results. …”
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Disproportionality analysis and risk factor assessment of drug-associated thyroid dysfunction adverse events: a study based on the FAERS database by Zhifang Wang, Yan Wang, Tingting Wu, Haibin Zhu, Lin Zhang, Xiaolan Liao

“…Chi-square tests, Bonferroni correction, and LASSO regression were employed to select relevant predictors of TD AEs, which were subsequently analyzed using multivariate logistic regression to assess their independent associations. …”
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THE IMPORTANCE OF THE RISK FACTORS OF PURULENT-SEPTIC COMPLICATIONS DEVELOPMENT by A. N. Obedin, S. V. Minaev, I. V. Kirgizov, A. E. Aleksandrov, E. A. Tovkan, N. M. Romaneeva, T. A. Khoranova, L. A. Сhitaeva

“…The total amount of various analyzed predicting factors of purulent-septic complications after surgical procedures was 42. …”
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Utilizing machine learning techniques to identify severe sleep disturbances in Chinese adolescents: an analysis of lifestyle, physical activity, and psychological factors by Lirong Zhang, Shaocong Zhao, Wei Yang, Zhongbing Yang, Zhi’an Wu, Hua Zheng, Mingxing Lei, Mingxing Lei, Mingxing Lei

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Epidemiological and sociodemographic transitions in the global burden and risk factors for Alzheimer's disease and other dementias: a secondary analysis of GBD 2021 by Changqing Xu, Chuanping Jiang, Xiaoxue Liu, Wenqi Shi, Jianjun Bai, Sumaira Mubarik, Fang Wang

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The universal zero markup drug policy and gastric cancer hospitalization expenses: an analysis of trends and influencing factors in Shanghai from 2014 to 2021 by Yichun Gu, Jiajun Hao, Da He, Hui Sun, Xin Cui, Wenqi Tian, Yulin Zhang, Chunlin Jin, Haiyin Wang

“…The degree of association between various medical expenditures and hospitalization expenditures of GC patients was calculated by using the new grey relational analysis (GRA). Furthermore, multiple linear regression was employed to identify the influencing factors. …”
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Predictive analysis of all-cause mortality of previously untreated pulmonary tuberculosis patients complicated by hypertension by Anhua Cao, You Nie, Zhun Zhong, Yi Pei, Yi Pei, Ping Deng, Hebin Xie, Yiping Leng, Yiping Leng

“…A predictive nomogram model was developed using R software, and its precision and reliability were verified.ResultsAmong the 1,014 patients, there were 100 (9.86%) deaths and 82 (8.09%) cardiovascular events. LASSO regression screened out 13 predictive variables. Multivariate logistic regression analysis revealed that smoking history, sputum bacteriology, pleural effusion, coronary heart disease, and chronic kidney disease were independent risk factors. …”
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Risk factors for severity of breast cancer-related lymphedema by Amirhossein Bahanesteh, Hossein Yarmohammadi, Sina Shahshenas, Davood Dalil, Masood Soltanipur, Hamidreza Taheri, Zahra Sheikhi

“…While many studies have investigated the risk factors for BCRL occurrence, the determinants of its severity remain underexplored. …”
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Decoding survival in MASLD: the dominant role of metabolic factors by Zhiqiang Jin, Cheng Zeng, Yang Yang, Shan Zhong, Zhi Zhou

“…Methods A total of 3,086 participants with MASLD based on the diagnostic criteria established at the Delphi conference from NHANES III were included in this analysis. COX regression model (C-index = 0.64) was used to analyze the all-cause and attributable mortality of different number of metabolic factors. …”
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<i>riskAIchain</i>: AI-Driven IT Infrastructure—Blockchain-Backed Approach for Enhanced Risk Management by Mir Mehedi Rahman, Bishwo Prakash Pokharel, Sayed Abu Sayeed, Sujan Kumar Bhowmik, Naresh Kshetri, Nafiz Eashrak

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Relationships between infant mortality and socioeconomic and demographic factors in Kazakhstan: an analysis from a middle-income country in Central Asia by Olzhas Zhamantayev, Nurlan Smagulov, Gulmira Tykezhanova, Aiman Konkabayeva, Karina Nukeshtayeva, Gulmira Zhanalina, Zhuldyz Aldanova, Nurzhamal Shintayeva, Zhyldyz Kurzhunbaeva

“…Kazakhstan, like many Central Asian countries, has faced its fluctuating trends during the last decade influenced by various socioeconomic factors. This study aims to analyze the relationship between socioeconomic and infant mortality indicators in Kazakhstan from 2010 to 2021. …”
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Risk Factors of Retinopathy of Prematurity: A Prospective Study by Bindu K. Sankar, Hrishikesh Amin, P. Pappa, K. M. Riaz

“…Both univariate (Chi-square test) and multivariate regression analysis were used for analyzing risk factors. …”
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