DETERMINANTS OF PREVENTIVE BEHAVIOR REGARDING CARDIOVASCULAR DISEASES AND RISK FACTORS IN PATIENTS WITH ESSENTIAL HYPERTENSION AND CHRONIC ISCHEMIC HEART DISEASE by D. Yu. Platonov, T. A. Kostjuk, A. I. Brandt, O. V. Tsygankova

“…Differentiated multivariate analysis of activity and efficacy of PB determinants was performed in HT and CIHD patients by the method of step-by-step backward logistic regression. …”
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Coupling Coordination Relationship and Driving Factors Between Common Prosperity and Tourism Development Levels in the Five Northwestern Provinces of China by Haiqiang Zhu, Xinru Mao, Xia Xie

“…A Geographically and Temporally Weighted Regression (GTWR) model was employed to analyze the key driving factors influencing the coupling coordination between common prosperity and tourism development levels. …”
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Association between healthcare resources, healthcare systems, and population health in European countries by Cholada Kittipittayakorn

“…The healthcare systems in these countries are primarily categorized into two types: Beveridge-type and Bismarck-type. In addition to regression analysis, descriptive statistics were used to analyze the allocation patterns of healthcare resources. …”
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Alzheimer's and dementia: Diagnosis, assessment, and disease monitoring global, regional, and national burden of Alzheimer's disease and other dementias (ADODs) and their risk fact... by Fang Wang, Dongxin Li, Xuetian Gao, Xingye Zhang, Xuanying Shi, Youquan Guo

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Trends and clusters of tuberculosis treatment interruption among people experiencing homelessness in Brazil: influence of individual, social and programmatic factors by Gabriel Pavinati, Lucas Vinícius de Lima, Melisane Regina Lima Ferreira, Simone Teresinha Protti Zanatta, Gabriela Tavares Magnabosco

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Hepatitis B status and associated factors among participants screened for simulated HIV vaccine efficacy trials in Kenya and Uganda. by Yunia Mayanja, Wasima Rida, Joshua Kimani, Ali Ssetala, Juliet Mpendo, Annet Nanvubya, Gaudensia Mutua, Omu Anzala, Matt A Price

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Diarrhea Prevalence and Sociodemographic Factors among Under-Five Children in Rural Areas of North Gondar Zone, Northwest Ethiopia by Atalay Getachew, Tadesse Guadu, Alebachew Tadie, Zemichael Gizaw, Mulat Gebrehiwot, Daniel Haile Cherkos, Martha Alemayehu Menberu, Teklay Gebrecherkos

“…A structured questionnaire was used for collecting information on sociodemographic characteristics and diarrheal occurrence. Data was analyzed using SPSS version 20. The bivariate and multivariable logistic regression analysis were used to determine the association between risk factors and diarrheal occurrence, and a p value < 0.05 was taken as statistically significant. …”
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Metabolic syndrome and its associations with socio-demographic and behavioral risk factors in the Russian population aged 25-64 years by Yu. A. Balanova, A. E. Imaeva, V. A. Kutsenko, A. V. Kapustina, G. A. Muromtseva, S. E. Evstifeeva, S. A. Maksimov, N. S. Karamnova, E. B. Yarovaya, S. A. Shalnova, O. M. Drapkina

“…To assess the associations of metabolic syndrome (MS) with sociodemographic and  behavioral factors  in the  Russian population  aged 25-64 years.Material and methods. …”
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Machine Learning Approach for Assessment of Compressive Strength of Soil for Use as Construction Materials by Yassir M. H. Mustafa, Yakubu Sani Wudil, Mohammad Sharif Zami, Mohammed A. Al-Osta

“…Validation was conducted using data from four types of locally available soils in the Najd region of Saudi Arabia, although some disparities were noted between actual and predicted results due to limitations in the training data. The analysis indicates that, for unstabilized soil, grain size distribution and moisture content during testing are primary influencers of strength, whereas, for stabilized soil, factors such as stabilizer type and content, as well as density and moisture during testing, are pivotal. …”
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Determinants of dialysis adequacy in maintenance hemodialysis patients: a cross-sectional study on modifiable risk factors and clinical interventions by Wanning Jia, Wenwen He, Zhuozhuo Chen, Haiyan Wang, Haitao Lu

“…Multiple linear regression analysis revealed that dialysis duration was an independent protective factor, whereas dry weight was an independent risk factor. …”
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Investigating the Effects of Urban Sprawl on Carbon Distribution Using AHP-TOPSIS and MGWR Models by Seyed Reza Mousavi, Monire Mahmoudi Holasoo, Mehdi Shah Mohammad, Samira Heydari

“…Leveraging a comprehensive methodological framework, this study combines descriptive analysis, the Analytic Hierarchy Process (AHP), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Multiscale Geographically Weighted Regression (MGWR). …”
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Risk Factors Associated With the Occurrence and Recurrence of Benign Paroxysmal Positional Vertigo in Koreans: A Nested Case-Control Study by Jae Sang Han, Yun-Hee Lee, Ji Hyung Lim, Dong-Hee Lee, Sang Hyun Kwak, Jae-Hyun Seo

“…BPPV recurrence was defined as a new episode occurring more than 90 days after the initial treatment. Logistic regression analysis was conducted to examine the incidence of BPPV, while Cox proportional hazards models were used to investigate the risk factors associated with its recurrence. …”
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Outcomes and risk factors for de novo major depressive disorder after liver transplantation: Nested case-control study by Young Jin Yoo, Jinhee Lee, Deok-Gie Kim, Minyu Kang, Hwa-hee Koh, Eun-Ki Min, Jae Geun Lee, Myoung Soo Kim, Dong Jin Joo

“…Introduction and Objectives: Major depressive disorder (MDD) is a major psychiatric complication of liver transplantation (LT). Here, we aimed to analyze the impact of de novo MDD on survival post-LT and identify risk factors for this disorder among LT recipients. …”
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Drug-associated infections and infestations in older adults with tumor necrosis factor-alpha inhibitors: a real-world retrospective and pharmacovigilance study by Xihui Yu, Jiahong Zhong, Xuemei Zhuang, Zhuomiao Lin, Hongbo Fu, Yaofeng Zhang

“…Univariate and multivariate logistic regression analysis indicated that gender, weight and medicine may be influencing factors for the AEs of infections and infestations (p &lt; 0.05).ConclusionThe research highlighted that the difference in the risk of infection in the elderly who used TNF-α inhibitors between various TNF-α inhibitors, adverse events and therapeutic indications, respectively. …”
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Difficult-to-treat rheumatoid arthritis: predictors and prevention possibilities (analysis of the Moscow unified register of arthritis data) by E. V. Zhilyaev, G. V. Lukina, E. N. Koltsova, E. I. Schmidt, K. A. Lytkina, I. V. Pozharov

“…From the indicators that demonstrated significant differences between the groups, significant independent predictors of difficult-to-treatstate were identified within the linear-logistic regression model by forward stepwise selection. Data describing preceding treatment were analyzed within the framework of a multifactorial linear logistic model with included selected independent predictors of achieving difficult-to-treat state (resistance to treatment).   …”
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Establishment of an evaluation system for conversion to laparotomy in laparoscopic cholecystectomy and exploration of surgical grading management by ZHANG Nannan, GUO Jinxing, WU Gang, YI Hui, ZHOU Yuanhang, LIAO Zhiwei, HUANG Qi, DONG Jian

“…Then, the risk factors were analyzed by multiple Logistic regression, and the pre-coefficient of each variable of the risk factors was assigned according to the established conversion to laparotomy possibility function. …”
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Persistent thrombocytopaenia as an independent risk factor for 28-day mortality and multiorgan failure in exertional heatstroke: a retrospective study of 217 patients by Li Zhong, Yan Liu, Conglin Wang, Zheying Liu, Lei Su, Zhifeng Liu, Ming Wu

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Clinical Characteristics and Predictive Features of Neonates With Treatment‐Needed Retinopathy of Prematurity: A Retrospective Cohort Study by Nasser Shoeibi, Fereshteh Raoufi, Majid Abrishami, Seyedeh Maryam Hoseini, Mohammad‐Reza Ansari‐Astaneh, Mojtaba Abrishami, Ghodsieh Zamani, Elham Bakhtiari, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Nasibe Zare Shahneh, Mehrdad Motamed Shariati

“…Probable neonatal and maternal risk factors for the need for treatment were analyzed. …”
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Normal cerebrospinal fluid protein and associated clinical characteristics in children with tuberculous meningitis by Jun-Li Wang, Chao Han, Feng-Lian Yang, Mao-Shui Wang, Yu He

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An investigation of post-stroke fatigue levels and influencing factors in young and middle-aged stroke patients: a cross-sectional study by Jing Kang, Xiaojun Zhao, Zixiu Zheng, Yuehong Tian, Wanying Tian, Xingyu Miao

“…The general situation questionnaire, Modified Rankin Scale (mRS), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Pittsburgh Sleep Quality Index (PSQI) and Stroke Specific Quality of Life Scale (SS-QOL), Chronic Disease Self-efficacy Scale (CDSES) were used to investigate and study them. A logistic regression model was established and stratified analysis was conducted to explore the factors influencing PSF in young and middle-aged patients. …”
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