Digital empowerment in nursing: A cross-sectional exploration of digital competencies in healthcare services among nurses by Dipali Dumbre, Sheela Upendra, Shital Waghmare, Betsy Sara Zacharias, Pratik Salve

“…To determine the factors associated with basic digital competency, a multivariable logistic regression was carried out, with a P value of less than 0.05 considered statistically significant. …”
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Knowledge, Attitude, and Practice toward Youth-Friendly Reproductive Health Services among Mizan-Tepi University Students, South-Western Ethiopia by Samuel Getachew, Lema Abate, Abyot Asres, Abel Mandefro

“…To find the factors linked to youth-friendly health services, researchers used descriptive analysis, the chi-square test, and a logistic regression model. Result. This study revealed that 237 (55.4%), 256 (59.8%), and 262 (61.2%) students had no knowledge, negative attitude, and not practiced youth-friendly reproductive health services, respectively. …”
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Accuracy of Focused Assessment with Sonography for Trauma (FAST) in Blunt Abdominal Trauma by Tae Ah Kim, Junsik Kwon, Byung Hee Kang

“…Demographic data, injury characteristics, and outcomes were compared between true-positive and false-negative results. Logistic regression was used to identify the factors associated with true-positive results. …”
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Red Blood Cell Distribution Width Is Associated with Carotid Atherosclerosis in People with Type 2 Diabetes by J. S. Nam, C. W. Ahn, S. Kang, K. R. Kim, J. S. Park

“…Multiple regression analysis and multivariate logistic regression analysis revealed that RDW was associated with C-IMT in people with type 2 diabetes, and it remained significant after control for various cardiovascular risk factors including body mass index, blood pressure, insulin resistance, and smoking status in multivariate logistic regression analysis. …”
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Association between cardiometabolic index and hypertension among US adults from NHANES 1999–2020 by Tuo Guo, Yang Zhou, Guifang Yang, Lijuan Sheng, Xiangping Chai

“…Using multivariable logistic regression, we explored the association between CMI and hypertension, employing Restricted Cubic Spline analysis to assess non-linear relationships and two-piecewise linear regression to identify threshold effects. …”
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Assessment of adherence to dietary recommendations and associated factors among type 2 diabetic patients in selected hospitals in Addis Ababa, Ethiopia by Wabi Temesgen Atinafu, Kefyalew Naniye Tilahun

“…Finally, the results of bivariate and multivariable logistic regression analyses were presented using odds ratios with 95% confidence intervals. …”
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Analysis of Risk Factors for Postoperative Lower Extremity Deep Venous Thrombosis and its Treatment and Nursing by Huayun Liu, Yunhua Peng

“…The factors associated with LEDVT were analyzed using the Logistic regression model. Further, LEDVT patients were assigned to a research group treated with targeted nursing to prevent LEDVT and a control group that used routine care. …”
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Systemic inflammatory response index improves prognostic predictive value in intensive care unit patients with sepsis by Tuo Xu, Shuaiwei Song, Ke Zhu, Yin Yang, Chengyu Wu, Naixue Wang, Shu Lu

“…Multiple linear regression and logistic regression analyses were performed to evaluate the relationship between SIRI and sepsis. …”
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Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes by Chanwoo Park, Nan Jiang, Taesung Park

“…We selected various SNP sets via stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and the elastic-net (EN) algorithm. …”
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Psychological Distress among Pharmacists during Second Wave of Pandemic: A Cross-Sectional Study by Keshav Dhakal, Shobhana Nepal, Pratigya Sapkota

“…Descriptive statistics (mean, standard deviation, percentage) and inferential statistics (chi-square and logistic regression) were used. Results. Out of 172 respondents, 77.9% were severely distressed while 22.1% were mild to moderately distressed due to COVID-19 pandemic. …”
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Serum Vitamin D Level and Risk of Community-Acquired Pneumonia: A Case-Control Study by Guwani Liyanage, Anusha Kaneshapillai, Suthesan Kanthasamy

“…A blood sample was collected to assess serum 25-(OH)D concentration. Unconditional logistic regression was done to examine the independent association of vitamin D level with community-acquired pneumonia. …”
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Modified Weights-of-Evidence Modeling with Example of Missing Geochemical Data by Daojun Zhang, Frits Agterberg

“…Weights of evidence (WofE) and logistic regression (LR) are two loglinear methods for mineral potential mapping. …”
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Cultural Aspects of Type-2 Diabetes-related Social Stigma: A Cultural Epidemiological Study among General Community Members in Urban Pune, India by Abhay Machindra Kudale, Mayuri Dnyandeo Ghawat, Akshada Vikram Gopale, Mugdha Sharad Phutane, Saju Joseph

“…Further, multivariate logistic regression assessed the relationship between socio-demographic characteristics as predictors and stigma indicators as outcome variables. …”
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Muscle quality index is correlated with insulin resistance and type 2 diabetes mellitus: a cross-sectional population-based study by Mengye Zhang, Hao Lin, Xue Xu

“…To explore the correlation between MQI, IR and T2DM, multivariate logistic regression, receiver operating characteristic (ROC) curve, subgroup analysis, and restricted cubic spline regression were employed. …”
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Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents by Mayelyn Rodríguez Estenger, Nelsa María Sagaró del Campo, Larisa Zamora Matamoros, Evelyn Yolanda Fundichely Vázquez

“…Two statistical techniques were applied: binary logistic regression and implicative statistical analysis. …”
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Effect of Admission Serum Calcium Levels and Length of Stay in Patients with Acute Pancreatitis: Data from the MIMIC-III Database by Dongyan Wang, Xiaoyan Guo, Wenwen Xia, Zhijuan Ru, Yihai Shi, Zhengyu Hu

“…Restricted cubic spline curve (RCS) functions of dose-response analysis curves and logistic regression analysis were used to analyze the relationship between admission serum calcium levels and the LOS. …”
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Nomogram for Predicting Postoperative Portal Venous Systemic Thrombosis in Patients with Cirrhosis Undergoing Splenectomy and Esophagogastric Devascularization by Miao Chen, Jian-Bo Han, Jia-Kang Zhang, Qing-Hua Shu, Yu-Feng Zhang, Yong-Xiang Yi

“…Univariate and multivariate logistic regressions were implemented for risk factor filtration, and an integrated nomogram was generated and then validated using the bootstrap method. …”
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Levels and associated factors for early cessation of EBF among under six month children in Ethiopia by Fassikaw Kebede Bizuneh, Tsehay Kebede Bizuneh

“…A mixed-effects multilevel logistic regression model employed to identify factors contributing to premature cessation. …”
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Predictors of Long-Time Survivors in Nonmetastatic Colorectal Signet Ring Cell Carcinoma: A Large Population-Based Study by Wuguang Zhang, Wenqian Gong, Changhai Wu, Mengting Li, Xiaolong Tu

“…Afterwards, multivariate logistic regression analysis was used to identify independent predictors of LTSs, which were further used to construct a nomogram model to predict the probability of being LTSs. …”
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Construction of a Nomogram Model for Predicting Pleural Effusion Secondary to Severe Acute Pancreatitis by Bing-Mei Zhou, Zhao-Lei Qiu, Kai-Xuan Niu, Yin-E. Wang, Fu-Chen Jie

“…The independence risk factors of PE secondary to SAP were analyzed by univariate analysis and multivariate logistic regression analysis. A nomogram risk prediction model was established and validated through the area under the ROC curve. …”
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