Development and Validation of a Predictive Model Based on Serum Silent Information Regulator 6 Levels in Chinese Older Adult Patients: Cross-Sectional Descriptive Study by Yuzi You, Wei Liang, Yajie Zhao

“…The nomogram was derived from the Extreme Gradient Boosting (XGBoost) model, with logistic regression for variable selection. Model performance was assessed by examining discrimination, calibration, and clinical use separately. …”
Get full text

The Exposure Assessment in Current Time Study: Implementation, Feasibility, and Acceptability of Real-Time Data Collection in a Community Cohort of Illicit Drug Users by Gregory D. Kirk, Beth S. Linas, Ryan P. Westergaard, Damani Piggott, Robert C. Bollinger, Larry W. Chang, Andrew Genz

“…Sociodemographic, behavioral, clinical, and trial characteristics were evaluated as correlates of weekly random-prompt response rates ≥80% using logistic regression with generalized estimating equations. …”
Get full text

Measuring serious violence perpetration: comparison of police-recorded and self-reported data in a UK cohort by Rosie Cornish, Alison Teyhan, Kate Tilling, John Macleod, Iain Brennan

“…We used descriptive statistics and logistic regression to address our objectives. Multiple imputation using chained equations was used to impute self-reported violence data to examine the likely impact of missing data on estimates of prevalence. …”
Get full text

Utilization and Predictors of Maternal Health Care Services among Women of Reproductive Age in Hawassa University Health and Demographic Surveillance System Site, South Ethiopia: A... by Elsabet Shudura, Amanuel Yoseph, Alemu Tamiso

“…The variables were entered into the multivariable model using the backward stepwise regression approach. Multivariable logistic regression analysis was used to identify factors associated with utilization of the maternal health care. …”
Get full text

Adherence to guidelines for creatinine and potassium monitoring and discontinuation following renin–angiotensin system blockade: a UK general practice-based cohort study by Henrik Toft Sørensen, Liam Smeeth, Dorothea Nitsch, Morten Schmidt, Laurie A Tomlinson, Krishnan Bhaskaran, Kathryn E Mansfield

“…Objectives To examine adherence to serum creatinine and potassium monitoring and discontinuation guidelines following initiation of treatment with ACE inhibitors (ACEI) or angiotensin receptor blockers (ARBs); and whether high-risk patients are monitored.Design A general practice-based cohort study using electronic health records from the UK Clinical Practice Research Datalink and Hospital Episode Statistics.Setting UK primary care, 2004–2014.Subjects 223 814 new ACEI/ARB users.Main outcome measures Proportion of patients with renal function monitoring before and after ACEI/ARB initiation; creatinine increase ≥30% or potassium levels >6 mmol/L at first follow-up monitoring; and treatment discontinuation after such changes. Using logistic regression models, we also examined patient characteristics associated with these biochemical changes, and with follow-up monitoring within the guideline recommendation of 2 weeks after treatment initiation.Results 10% of patients had neither baseline nor follow-up monitoring of creatinine within 12 months before and 2 months after initiation of an ACEI/ARB, 28% had monitoring only at baseline, 15% only at follow-up, and 47% both at baseline and follow-up. …”
Get full text

Association of systemic immune-inflammation index (SII) with risk of psoriasis: a cross-sectional analysis of National Health and Nutrition Examination Survey 2011–2014 by Xuan Yang, Yuxin Pan, Yang Zhang, Yang Meng, Tang Tong, Mingyi Zhao

“…Methods We conducted a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) 2011–2014 data sets. Multiple logistic regression analyses with appropriate covariates adjustment were the major methods in this study. …”
Get full text

Practice of balanced scorecard implementation and its contributing factors among public primary hospital professionals in Central Gondar zone, Northwest Ethiopia by Seid Yeshaw, Seid Yeshaw, Geta Asrade, Asebe Hagos, Muluken Genetu Chanie, Nigusu Worku

“…Bi-variable and multivariable logistic regression analyses were done. The strength of associations was measured using the adjusted odds ratio (AOR) at 95% CI and a p-value of less than 0.05 in the multivariable analysis to declare significant factors. …”
Get full text

Prescription pattern, glycemic control status, and predictors of poor glycemic control among diabetic patients with comorbid chronic kidney disease in Ethiopia: a facility-based cr... by Oumer Sada Muhammed, Minimize Hassen, Samuel Mamusha

“…Descriptive statistics was employed for analyzing quantitative variables. Logistic regression analysis was performed to identify predictors of poor glycemic control status. …”
Get full text

Decision-Making Factors Among Dentists for Using Dental Magnifying Loupes: A Cross-Sectional Study by Alghilan MA, AlShehri A, Almeshrafi A, Alrumi A, Aldibasi O

“…The data were collected and then statistically analyzed using comparisons tests (chi-square/Fisher’s exact test) and logistic regression with significance level (p-value) below 0.05.Results: The response rate for this study’s questionnaire was 97.33%. …”
Get full text

Association of blood manganese and selenium levels with hepatic steatosis among adolescents: a nationwide cross-sectional analysis by Bin You, Bin You, Bin You, Bin You, Zhiyuan Chen, Zhiyuan Chen, Zhiyuan Chen, Zhiyuan Chen

“…Hepatic steatosis was defined as a controlled attenuation parameter (CAP) score of ≥248 dB/m, a measure of liver steatosis, which is a primary characteristic and a less severe stage of hepatic steatosis, assessed by vibration-controlled transient elastography (VCTE). Multivariate logistic regression models were used to assess the associations between blood manganese and selenium levels and hepatic steatosis, while restricted cubic splines (RCS) were employed to examine the dose-response relationships.ResultsThe mean age of the participants was 15.37 years, with 52.22% boy. …”
Get full text

Magnitude and Factors Associated with Precervical Cancer among Screened Women in Southern Ethiopia by Terefu Teka, Mesfin Kote, Gemechu Kejela, Tagel Getachew

“…After cleaning the data, descriptive analysis was done and multivariable logistic regression model was employed to identify predictors of precervical cancer. …”
Get full text

Influencing factors for delay in healthcare-seeking, definitive diagnosis, identification in patients with pulmonary tuberculosis in Minhang District by MA Qiongjin, YAN Huiqin, WU Yunhua, GUO Xu, YANG Lijia, TANG Lihong, YANG Shengyuan

“…The prevalence rates of delay in healthcare-seeking, definitive diagnosis and identification were analyzed, and factors affecting delay in healthcare-seeking, definitive diagnosis and identification were identified using multivariable logistic regression models. Results: A total of 4 214 PTB patients were reported in Minhang District from 2017 to 2022, including 2 802 males and 1 412 females, with a male-to-female ratio of 1.98∶1. …”
Get full text

Discharge against Medical Advice (DAMA) from an Emergency Department of a Tertiary Care Hospital in Saudi Arabia by Ashraf El-Metwally, Nesreen Suliman Alwallan, Ali Amin Alnajjar, Nida Zahid, Khalid Alahmary, Paivi Toivola

“…Unadjusted and adjusted odds ratios with their 95% CI (confidence interval) were reported by performing logistic regression. A p value of ≤0.05 was considered statistically significant throughout the study. …”
Get full text

Who is engaging with lateral flow testing for COVID-19 in the UK? The COVID-19 Rapid Survey of Adherence to Interventions and Responses (CORSAIR) study by Nicola T Fear, Susan Michie, Richard Amlot, G James Rubin, Louise E Smith, Henry WW Potts

“…Objectives To investigate uptake of lateral flow testing, reporting of test results and psychological, contextual and socio-demographic factors associated with testing.Design A series of four fortnightly online cross-sectional surveys.Setting Data collected from 19 April 2021 to 2 June 2021.Participants People living in England and Scotland, aged 18 years or over, excluding those who reported their most recent test was a polymerase chain reaction (PCR) test (n=6646, n≈1600 per survey).Main outcome measures Having completed at least one lateral flow test (LFT) in the last 7 days.Results We used binary logistic regressions to investigate factors associated with having taken at least one LFT. …”
Get full text

Prevalence of anaemia and its associated factors among HIV-infected adults at the time of ART initiation at Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia: a r... by Agazhe Aemro, Belayneh Shetie Workneh, Enyew Getaneh Mekonen, Mulugeta Wassie, Basazinew Chekol

“…To identify factors for anaemia, bivariate and multivariate logistic regression models were fitted. Model fitness was checked using the Hosmer-Lemeshow goodness-of-fit test.Results From 473 patients’ charts, 468 charts were included in the analysis, and a total of 164 anaemia cases were recorded. …”
Get full text

Triglyceride glucose index–body mass index as a predictor of coronary artery disease severity in patients with H-type hypertension across different glucose metabolic states by Lian Wang, Zijin Li, Rui Qiu, Li Luo, Xisheng Yan

“…The TyG-BMI was categorized into tertiles and analyzed using logistic regression models and restricted cubic spline (RCS) models to assess its association with multi-vessel CAD. …”
Get full text

Relationship of monocyte to high-density lipoprotein ratio (MHR) and other inflammatory biomarkers with sarcopenia: a population-based study by Zhiwei Xue, Jian Cao, Jianhui Mou, Rui Wang, Peng Liu

“…Methods The study comprised 10,321 participants aged 20 years and above from the United States. Multiple logistic regression was performed to explore the association between ln-transformed MHR, SII, NLR, NHHR and low muscle mass. …”
Get full text

Perceived wildfire risk and past experiences with wildfire smoke influence public support for prescribed burning in the western conterminous United States by Christopher J Rogers, Celeste Beck, Rima Habre, Jo Kay Ghosh

“…Methods Data were from the May 2023 Household Emergency Preparedness Survey, an online panel survey of 1,727 adults in 12 western conterminous states, applying survey weights to reflect the underlying population demographics. In weighted logistic regression models, we evaluated associations between predictor variables (past experiences with smoke, wildfire risk perception) and support for prescribed burns in general or near a respondent’s neighborhood, adjusting for age, race/ethnicity, gender, education, household income, and wildland urban interface status. …”
Get full text

Exploring the Association Between Triglyceride-Glucose Indices and Their Derivatives With Obstructive Sleep Apnea: Insights From the National Health and Nutrition Examination Surve... by Zhou Y, Xue F

“…TyG and its derivatives were evaluated as continuous and categorical variables in relation to OSA using multivariable logistic regression models. Subgroup analyses, dose-response relationships, and threshold effects were explored, and the diagnostic performance of TyG-related indices was assessed using AUC curves.Results: The study included 8,374 participants. …”
Get full text

Magnitude of urban malaria and its associated risk factors in Damboya town, Kambata zone, Central Ethiopia by Biruk Mulachew, Temesgen Bezuayehu, Solomon Asnake

“…Factors associated with malaria was analyzed using bivariable and multivariable binary logistic regression. The strength of the association was determined by computing Adjusted Odds Ratio (AOR) at Malaria is one of the most vital leading cause of morbidity and mortality in developing countries particularly in Sub Saharan Africa (Bugssa and Tedla, 2020). …”
Get full text