Factors associated with high probability of target blood pressure non-achievement in hypertensive patients by S. P. Zhemanyuk, V. V. Syvolap

“…Results According to the univariate logistic regression analysis, the dependent factors influencing the target blood pressure level poor reaching are the average diurnal diastolic blood pressure (DBP) (OR = 44.8); diurnal variability of systolic blood pressure (SBP) (OR = 4.4); square index of hypertension for diurnal periods SBP (OR = 318.9); square index of hypertension for diurnal periods DBP (HS = 36,6); the average pulse blood pressure (OR = 65.9), the rate of morning rise of SBP (OR = 3.6), and the maximum aggregation time of 5-minute ADP-induced platelet aggregation (OR = 3.5). …”
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Social alienation and its influencing factors in middle-aged and young patients with schizophrenia in remission by XU Yanan, CHEN Yongxin, LI Wenjuan, TAO Mengyang, GUO Fei, YANG Shichang

“…The patients'basic information, social alienation, life control ability, family intimacy level, and disease-related shame level were investigated using the general information survey form, general isolation scale, personal mastery scale, family cohesion scale, and disease shame scale. Multiple linear regression analysis was used to analyze the influencing factors of social alienation in middle-aged and young SZ patients in remission. …”
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Factors Associated With Withdrawal of Life-Sustaining Therapy After Out-of-Hospital Cardiac Arrest by Michael D. Elfassy, MD, MSc, Mena Gewarges, MD, Steve Fan, PhD, Bianca McLean, MD, Dustin Tanaka, MD, Amrita Bagga, MD, Stephen A. Bennett, MD, Isabella Janusonis, MD, Shamara Nadarajah, MD, Clara Osei-Yeboah, MD, Jeremy Rosh, MD, MSc, Daniel Teitelbaum, MD, MSc, Jaime C. Sklar, MD, MSc, Manpreet Basuita, MD, Damon C. Scales, MD, PhD, Adriana C. Luk, MD, MSc, Paul Dorian, MD, MSc

“…Data were extracted from medical records and analyzed using descriptive statistics and cause-specific hazards regression models to identify factors associated with WLST and documented goals of care (GOC) discussions. …”
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Epidemiology risk factors and antifungal resistance patterns of Candida in cancer patients in Jiangxi China by Hazrat Bilal, Xiaohui Li, Xunsong Wang, Muhammad Nadeem Khan, Muhammad Shafiq, Jiamei Yu, Hanman Qiu, Qiao-Li Lv, Bin Xu

“…Candida distribution across cancers and antifungal susceptibility patterns were analyzed. Risk factors were identified via logistic regression, and antifungal consumption was correlated with Candida distribution. …”
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Effect of Different Factors on the Quality of Life and Sequelae of COVID-19 Patients After Discharge by Haijuan Wang, Nan Guo, Ya-Ping Yao, Le Song, Guan-Zhen Wang, Jun-Li He, Ning Zheng, Qiong Mo, Wen-Xu Ni, Bo Zhang, Fu-Sheng Wang, Lei Huang

“…The χ2 test (or Fisher exact test) and multivariate logistic regression analysis were used to analyze the sequelae and influencing factors. …”
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Analysis of risk factors for sepsis-related liver injury and construction of a prediction model by Yong He, Yong He, Yong He, Chi Wang, Chi Wang, Chi Wang, Wan He, Wan He, Wan He, He Zhang, He Zhang, He Zhang, Fei Ding, Fei Ding, Fei Ding, Ying Liu, Ying Liu, Ying Liu, He He, He He, He He, Binwu Ying, Binwu Ying, Binwu Ying, Xin Nie, Xin Nie, Xin Nie, Xin Nie

“…Patients were divided into those with and without liver injury. Stepwise logistic regression identified independent risk factors for SRLI, and a predictive model was constructed. …”
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Moderation Effect Of Debt Policy On Factors Affecting Company Value In The Jakarta Islamic Index by Puji Purwani, Endah Nur Fitriyani

“…This study analyzes the factors that affect the company's value, moderated by the debt policy. …”
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Emotional Suppression Characteristics and Influencing Factors of Ovarian Cancer Patients - Latent Profile Analysis by Wu Y, Zhang Y, Yuan J, Yang J, Chen L, Zhu W, Xu C

“…Yaru Wu,1 Yuting Zhang,1 Jing Yuan,1 Juan Yang,1 Ling Chen,2,3 Wei Zhu,2,3 Chunyan Xu2,3 1School of Nursing, Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 2Department of Gynecological Surgery, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang, People’s Republic of China; 3Health Care Research Center for Xinjiang Regional population, Urumqi, Xinjiang, People’s Republic of ChinaCorrespondence: Chunyan Xu, Email xcy101413@163.comBackground: This quantitative study aimed to analyze the potential categories of emotional suppression characteristics and explore the influencing factors of different categories among ovarian cancer chemotherapy patients in Western Region of China.Methods: From September 2024 to March 2025, a convenience sampling method was used to administer a questionnaire to ovarian cancer chemotherapy patients at a gynecology center within a university hospital situated in the Northwest region of China. …”
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Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults by Xiang B, Zhang J, Deng C, Yang H, Qian L, Zhang W

“…Univariate and multivariate logistic stepwise regression analyses were conducted to identify the risk factors for postoperative pneumonia in this population. …”
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Analysis on related risk factors for cardiocerebral vascular diseases in patients with diabetic kidney disease by ZHANG Zhi-xu, GAO Ai-qing, RAO Xiao-pang

“…Multivariate Logistic regression analysis was used to analyze the risk factors in diabetic kidney disease patients with cardiocerebral vascular diseases.Results Among the 800 patients with diabetic kidney disease,558 ones had cardiocerebral vascular complications（69.75%）, with the incidences of coronary artery disease（CAD）,left ventricular hypertrophy（LVH）,congestive heart failure（CHF）,cerebral vascular accident（CVA）and large atherosclerosis（LA）of 12.50%（100/800）, 4.13%（33/800）, 4.37%（35/800）, 13.75%（110/800）and,35.00%（280/256）,respectively.The incidences of the above five cardiocerebral vascular complications of DKD patients with chronic kidney disease（CKD） stage I to V were 2.50%（20/800）, 3.75%（30/800）, 12.50%（100/800）, 17.5%（140/800） and 33.5%（268/800）, respectively.The differences of the incidences of the above five cardiocerebral vascular complications between DKD patients with difference CKD stages had statistical significance（χ²=14.138,P=0.001）.There were differences of statistical significance（P<0. 05） of age, body mass index（BMI）, SBP, drinking rate, smoking rate, HbA1 C, Scr, SUA, TC, LDL-C, UACR, Apoa, PTH and β₂-MG between the two groups. …”
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Analysis of Factors that Influence Dividend Payout Ratio of Coal Companies in Indonesia Stock Exchange by Pradana Jati Kusuma, Sri Hartoyo, Hendro Sasongko

“…The coal subsector has the largest capitalization in the mining sector. Multiple regression models are used to analyze 55 samples from 11 coal subsector companies. …”
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Research on the Influencing Factors and Countermeasures of Fertility Willingness among Different Age Groups in China by LIU Xinxin, SUI Jinhui, WU Bangdong, LIU Yan, LIANG Xiaohui, ZHAO Yang

“…Using multiple variables from three dimensions of personal characteristics, family characteristics, and attitudes as possible influencing factors, an ordered Logistic regression model was used to analyze the factors affecting fertility intention in the entire population and only for women. …”
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Thyroid nodule detection and influencing factors in male coal mine workers in Shanxi Province by Mengtian XIONG, Yingjun CHEN, Yingtong CHEN, Zeyuan ZHANG, Qiang LI, Gaisheng LIU, Liuquan JIANG, Qingsong CHEN

“…Occupational history and occupational exposure information were retrieved from their annual occupational health examination reports provided by the employer. Logistic regression modeling was used to analyze the influencing factors of thyroid nodule.ResultsA total of 1688 cases of thyroid nodules were detected, with a crude detection rate of 32.49% and an age-standardized detection rate of 31.17%. …”
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What Factors Affect Debt Policy During the COVID-19 Outbreak? Case of Indonesia by Khanifah Khanifah, Atiqullah Muhammad Alif, Agus Triyani, Suhita Whini Setyahuni

“…The sample is selected based on data availability using the purposive sample technique. We analyze the data using multiple regression analysis by using E-views software. …”
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Characteristics and influencing factors of occupational injuries among workers in a cable manufacturing enterprise by Ting XU, Juan QIAN, Yishuo GU, Daozheng DING, Jianjian QIAO, Yong QIAN, Xiaojun ZHU, Jingguang FAN

“…Logistic regression was used to analyze the influencing factors of occupational injuries. …”
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Factors explaining the differences in the adoption of circular economy measures among farms in Southwest Finland by Antti Hynni, Jukka Käyhkö, Tuomas Kuhmonen

“…A circular economy enhances sustainability by minimizing waste, optimizing resource use, and recycling nutrients. This study analyzes the adoption of circular economy practices among farms in Southwest Finland and identifies influencing factors. …”
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Associated factors to the sexual behavior in Peruvian women among 15 and 25 years old by Walter L Arias Gallegos, Renzo Rivera

“…Poisson regression with robust variance was also used. Results: It was found the factors, that are associated with the age of sexual initiation and the number of sexual partners, are the area of origin, marital status, educational level, employment status and socioeconomic level. …”
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Registered report protocol: Factors associated with inter-rater agreement in grant peer review. by Jan-Ole Hesselberg, Pål Ulleberg, Øystein Sørensen, Knut Inge Fostervold, Sigrid Hegna Ingvaldsen, Ida Svege

“…Using a cross-classified linear regression model, we will explore the relationship between inter-rater agreement and multiple factors, including reviewer similarity, experience, expertise, research area, application characteristics, review depth, and temporal trends. …”
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Risk of Falling after Coronary Artery Bypass Grafting Surgery And its Related Factors by Maryam Rajabi, Ezzat Paryad, Atefeh Ghanbari Khanghah, Ehsan Kazemnezhad leili

“…Descriptive statistics, as well as the Kolmogorov Smirnov, Wilcoxon, Mann-Whitney U, Kruskal-Wallis, and Spearman correlation, were used to analyze the collected data. A rank regression model was used to determine the factors related to the risk of falls in patients. …”
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Prevalence and factors associated with fear of childbirth in late pregnancy: a cross-sectional study by Dongning He, Dongning He, Jinling Zhang, Jinling Zhang, Guoyu Wang, Guoyu Wang, Yan Huang, Yan Huang, Na Li, Na Li, Mingxin Zhu, Mingxin Zhu, Yangxue Meng, Yangxue Meng, Biru Luo, Biru Luo

“…Data on pregnancy comorbidities, complications, and specific obstetric conditions were extracted from the hospital information system. Ordinal logistic regression was performed to analyze factors associated with different levels of fear of childbirth.ResultsThe mean score of the Childbirth Attitude Questionnaire was 34.69 ± 8.15. 79.8% of the participants reported mild to severe fear of childbirth in late pregnancy. …”
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