Integration of Immunometabolic Composite Indices and Machine Learning for Diabetic Retinopathy Risk Stratification: Insights from NHANES 2011 – 2020 by Cui Xuehao, MD, PhD, Wen Dejia, MD, Li Xiaorong, PhD

“…Multivariate logistic regression models assessed associations with DR, and Bayesian kernel machine regression analyzed nonlinear interactions. …”
Get full text

Comprehensive genetic analysis and predictive evaluation of milk electrical conductivity for subclinical mastitis in Chinese Holstein cows by Xubin Lu, Mingxue Long, Zhijian Zhu, Haoran Zhang, Fuzhen Zhou, Zongping Liu, Yongjiang Mao, Zhangping Yang

“…Various factors influencing milk electrical conductivity, including lactation stage, environmental conditions, age at first calving, parity, and body condition score, were identified. …”
Get full text

Host and environmental determinants of in-hospital mortality in community-acquired pneumonia: evidence of seasonality, socioeconomic factors, and hospital differentiation in Portug... by Ezequiel Pessoa, Cristina Bárbara, Andreia Costa, Paulo Nogueira

“…This study aims to analyse trends in hospital mortality among patients hospitalized with CAP in National Health Service (NHS) hospitals in mainland Portugal and the impact of various host and environmental factors on in-hospital mortality.  Methods This retrospective cross-sectional study analyzed 378,449 hospitalization episodes with CAP as the primary diagnosis (ICD-9-CM and ICD-10-CM/PCS) in mainland Portugal from 2010 to 2018. …”
Get full text

A multicenter study on rates and risk factors of proliferative vitreoretinopathy in a low-income economy. by Ogugua Ndubuisi Okonkwo, Martha-Mary Udoh, Olukorede Adenuga, Wilson Ovienria, Affiong Ibanga, Dennis Nkanga, Idris Oyekunle, Toyin Akanbi, Chineze Agweye

“…Biodata, presenting complaints, symptom duration, best corrected visual acuity, extent of RRD, status of macular attachment, presence, and grade of PVR and fellow eye were assessed. Data was analyzed using SPSS version 22 (Pearson Chi-Square test, Mann-Whitney U test, Fisher's Exact test, and logistic regression analysis).…”
Get full text

The role of dietary diversity and other factors to stunting among infants and toddlers in West Java, Indonesia by Surmita Surmita, Rini Sekartini, Aria Kekalih, Dian Novita Chandra

“…Data were analyzed using IBM SPSS Statistics version 27. Multiple logistic regression with complex sampling analysis was applied to account for survey weighting and ensure representativeness. …”
Get full text

Econometric Analysis of the Influence of Microbiological Preparations on the Crop Yield of Dry Mass of Feed Mix by O. A. Shikhova

“…The possibility of including dummy explanatory variables in the regression model allows us to study and quantify the impact of nonquantitative factors on crop yields. …”
Get full text

Influencing factors for medication adherence among inpatients with chronic diseases based on latent profile analysis by WANG Xiaoshan, YE Lixiang, CHEN Li, LI Minxiang, WANG Xinyu, CAI Xiaoxia

“…Medication adherence was assessed using the Medication Adherence Scale and categorized based on the scores of its eight items through latent profile analysis. Factors affecting medication adherence among inpatients with chronic diseases were analyzed using a multinomial logistic regression model. …”
Get full text

Analysis of risk factors related to thyroid function abnormality caused by programmed death-1 inhibitors by Lihong WANG, Huiyang SONG, Shufei ZANG, ling YE, Xuefei DANG

“…Univariate and multivariate logistic regression analyses were performed to identify related factors for TFA development. …”
Get full text

Related factors and quality of life of patients with restless legs syndrome in single central maintenance hemodialysis by CHEN Zong-ying, XI Qiu-ping, LIN Chang-wei, LI Bo-liang, LU Dan, XIE Xi-sheng

“…Patients were divided into RLS positive group and RLS negative group according to RLS diagnostic criteria,and the risk factors of RLS was analyzed using univariate and multivariate logistic regression analyses. …”
Get full text

Comparison of calcium-phosphorus metabolism between peritoneal dialysis and hemodialysis patients and analysis of influencing factors by CHENG Li, MIN Yong-long, WAN Sheng, HE Da, CHEN Fang, ZHANG Yan-min, XIONG Fei

“…Objective To compare the effects of peritoneal dialysis（PD）and hemodialysis（HD）on calcium-phosphorous metabolism in uremic patients,and to analyze the related influencing factors so as to provide basis and improvement measures for the clinical treatment.Methods The clinical data of PD and HD patients undergoing maintenance PD and HD in our hospital from October 1^st,2018 to October 1^st,2019 were collected and analyzed retrospectively.The serum calcium,phosphorus and intact parathyroid hormone were collected and compared between the patients with PD and HD at 0,3,6 and 12 months of dialysis.Multivariate linear regression was used to analyze the related influencing factors of calcium-phosphorus metabolism abnormality.Results（1）The levels of serum phosphorus at 3（t=-4.044,P<0.001）,6（t=-5.886,P<0.001）and 12（t=-7.808,P<0.001）months of dialysis in the HD group were all higher than those in the PD group.The levels of serum calcium at 6（t=6.521,P<0.001）and 12（t=6.841,P<0.001）moths of dialysis were lower than those in the PD group,and the level of calcium-phosphorus product at 12 months（t=-2.080,P=0.038）was higher than that in the PD group.（2）.After 12 months of dialysis,the compliance rates of serum phosphorus(χ²=4.329,P=0.037),serum calcium(χ²=5.587,P=0.018)and calcium-phosphorus product(χ²=5.750,P=0.016)in the PD group were significantly higher than those in the HD group.（3）The multivariate linear regression analysis of the factors that may influence the calcium-phosphorous metabolism in dialysis patients showed that the dialysis modality（B=-0.287,P=0.005）,age（B=-0.010,P=0.005）,dialysis duration（B=-0.010,P=0.027）,and sodium（Na）（B=-0.026,P=0.033）were the independent influencing factors of the level of serum phosphorus,with negative correlation.Conclusions Compared with HD,the levels of serum phosphorus and calcium can be controlled better by PD.Low age,low dialysis age and low sodium were independent influencing factors of increase blood phosphorus level.…”
Get full text

Risk factors for loss to follow-up in patients with gout: A Korean prospective cohort study. by Hyunsue Do, Chang-Nam Son, Hyo Jin Choi, Ji Hyoun Kim, Min Jung Kim, Kichul Shin, Sang-Hyon Kim, Byoongyong Choi, You-Jung Ha, Joong Kyong Ahn, Hyun-Ok Kim, Sung Won Lee, Chang Hoon Lee, Ran Song, Kyeong Min Son, Seung-Geun Lee, Ki Won Moon

“…LTFU was defined as missing a clinic visit for more than a year. Logistic regression was used to determine factors associated with LTFU.…”
Get full text

Hospitalization experience and associated factors among Chinese patients with cancer: a cross-sectional study by Wenjuan Gao, Youyou Hu, Huayi Chu, Doudou Yu, Keyi Tang, Xiuwen Chen, Ying Zhu, Jing Han

“…The acquired data were analyzed using the Shapiro-Wilk test, univariate analysis, and multiple linear regression. …”
Get full text

Risk prediction of QTc prolongation occurrence in cancer patients treated with commonly used oral tyrosine kinase inhibitors: machine learning modeling or conventional statistical... by Hsiang-Wen Lin, Tien-Chao Lin, Chien-Ning Hsu, Tzu-Pei Yeh, Yu-Chieh Chen, Liang-Chih Liu, Chen-Yuan Lin

“…The remaining 10 factors each contributed to an increased probability of QTc prolongation for more than 0.14 probability. …”
Get full text

Modeling of the optimum level of financial provision of Ukrainian enterprises' innovative activities by N. Davidenko, H. Skrypnyk, Z. Titenko, O.V. Zhovnirenko

“…In the process of research such scientific methods have been used: modeling – to determine the influence of the source of funding for innovation activities, on the number of new technological processes introduced and the introduction of new types of products; economic-statistical – to evaluate the dynamics of the amount of realized innovative products and the index of the efficiency of innovation costs; correlation-regression analysis – to determine the relationship density and the relationship between factors of influence and performance indicators; abstract-logical – for the implementation of theoretical and methodological generalizations. …”
Get full text

Mortality of Head and Neck Cancer in China From 1990 to 2019: A Secondary Data Analysis by Zhengxin Zhu, Jiasheng Yuan, Li Fu, Wanqing Zhang, Songtao Liu, Yuehui Liu

“…Mortality data, including death numbers and age‐standardized rates, were analyzed using joinpoint regression and age–period–cohort analysis to identify trends. …”
Get full text

Behavioral Finance Factors and Investment Decisions in Retail: a Moderation Analysis Across Demographic Segments by Rita Satria, Nugraha Nugraha, Disman Disman, Imas Purnamasari

“…Using a quantitative design, data were collected through a structured questionnaire from 254 retail investors, with 246 valid responses analyzed through a regression-based method and moderation analysis using Hayes' PROCESS macro for SPSS. …”
Get full text

Factors related to depression in patients with dialysis chronic kidney disease: a cross-sectional study by Septa Meriana Lumbantoruan, Lisandra María Goretti Sidabutar

“…The dependent variable was analyzed using nonparametric analysis, and to determine the related factors of depression, regression analysis was used in this study. …”
Get full text

Worsening Renal Function in Patients Hospitalized with Acute Heart Failure: Risk Factors and Prognostic Significances by Valerio Verdiani, Vieri Lastrucci, Carlo Nozzoli

Get full text

Dural Tears and Cerebrospinal Fluid Leak in Osteotomy Surgery for Ankylosing Spondylitis: Incidence, Risk Factors by Yue Huang, Fuze Liu, Yifei Li, Qi Zhu, Hai Wang, Jianguo Zhang

“…Additionally, binary logistic regression was employed to further validate the risk factors associated with cerebrospinal fluid leakage in patients undergoing PSO osteotomy. …”
Get full text

The role of iron deficiency and factors associated with anemia during pregnancy in Southeastern Tigray, Ethiopia, 2020. by Tedros Bereket, Freweini Gebrearegay Tela, Gebretsadkan Gebremedhin Gebretsadik, Selemawit Asfaw Beyene

“…The data were entered into Epi data 3.1 and analyzed using SPSS version 25. Candidate variables with a p-value ≤ 0.25 in the bivariate logistic regression were considered to the final model of multivariate logistic regression analysis. …”
Get full text