Hyperglycemia Is a Potential Prognostic Factor for Exacerbation in Severe Psoriasis with Diabetes or Prediabetes by Yongpisarn T, Thadanipon K, Suchonwanit P, Rattanakaemakorn P

“…Statistical analyses were performed using mixed-effects logistic regression.Results: A total of 201 psoriasis patients (95 with severe psoriasis and 106 with mild psoriasis) with 1,717 follow-up visits were included in the analysis. …”
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Prevalence of Computer Vision Syndrome and Associated Factors among Instructors in Ethiopian Universities: A Web-Based Cross-Sectional Study by Demisu Zenbaba, Biniyam Sahiledengle, Mitiku Bonsa, Yohannes Tekalegn, Jember Azanaw, Vijay Kumar Chattu

“…Data cleanup and cross-checking were done before analysis using SPSS version 23. A multivariable logistic regression was applied to identify factors associated with CVS using p value <0.05 and 95% confidence interval. …”
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5,10-methylenetetrahydrofolate reductase C677T gene polymorphism as a risk factor for premature coronary artery disease in patients with type 2 diabetes mellitus by Nisreen O. Mohammed, Ibtisam A. Ali, Bahaelddin K. Elamin, Bakri Osman Saeed

“…Data was analyzed using statistical package for Social Sciences (SPSS) 23, using Mann-Whtney U test, general linear model, Chi-square test and logistic regression analysis.ResultsThe frequencies of TT, CT, and CC genotypes were 16,40 and 44% among T2DM patients with PCAD. …”
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Looking under the hood of a hybrid two-way texting intervention to improve early retention on antiretroviral therapy in Malawi: an implementation fidelity evaluation by Robin E. Klabbers, Caryl Feldacker, Jacqueline Huwa, Christine Kiruthu-Kamamia, Agness Thawani, Hannock Tweya

“…Using mixed-effects logistic regression models adjusted for participant demographics, we examined the effect of core 2wT component fidelity on a) on-time appointment attendance and b) timely return to care after a missed appointment, presenting adjusted odds ratios (aORs) and 95% confidence intervals (CIs). …”
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Prevalence, cessation, and geographical variation of smoking among middle-aged and elderly adults in China: A population-based study by Qingjia Zeng, Chongyang Zhang, Feiyu Su, Yanli Wan, Wen-jun Tu, Hongpu Hu

“…This cross-sectional study presented the standardized prevalence of smoking and cessation across various demographics, including age, sex, residence, income, education, BMI, and geographical region. Multivariable logistic regression was employed to examine the associations between smoking pack-years and related factors. …”
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Association of triglyceride glucose-related obesity indices with sarcopenia among U.S. adults: a cross-sectional study from the National Health and Nutrition Examination Survey by Runtao Zhao, Xinqiang Ji, Fan Wang

“…The relationship between the TyG index as well as TyG index-related obesity indices and sarcopenia was investigated using restricted cubic spline analysis and multivariate logistic regression analysis. The diagnostic value of the TyG index and TyG index -related obesity indices for sarcopenia was compared using the receiver operating characteristic (ROC) curve. …”
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Clinical Value of Renal Function Markers Combined with Blood Lipid Levels during Late Pregnancy to Predict Preeclampsia: A Retrospective Case-Control Study by Jindi Zhang, Pei Wang, Jie Liu

“…The levels of serum renal function [creatinine (Cr), uric acid (UA) and urea] and blood lipid [total cholesterol (TC), triglycerides (TG) and high-density lipoprotein (HDL)] were compared between two groups. Logistic regression analysis was used to explore the association between these indicators and PE. …”
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Respectful maternity care and associated factors among mothers who gave birth at public health institutions in Debre Tabor town, Northwest Ethiopia: a mixed-methods study by Tadesse Ayana Fentie, Abayneh Aklilu Solomon, Mihretu Molla Enyew, Meseret Mekuriaw Beyene, Ayalew Kassie Melese, Alamirew Enyew Belay, Gebrie Getu Alemu

“…The quantitative data were coded and entered into Epi Data version 4.6, then exported to the Statistical Package for the Social Sciences (SPSS) version 25 for analysis. A multivariable logistic regression analysis was performed to identify factors associated with the outcome variable. …”
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Osteoarthritis and Degree of Fatigue are Associated with Pain Levels in Patients with Fibromyalgia Syndrome: A Cross-Sectional Study of 394 Patients by Wang Z, Lan T, Zhang Y, Guo Z, Yu H, Sun G, Wang Z, Yan Z, Tao Q, Xu Y

“…Data regarding the clinical features of the patients, including scores for pain-Visual Analogue Scale (VAS), Fatigue Scale-14 (FS-14) and other patient information, was collected. A multivariable logistic regression model was constructed to determine whether there is a true association between OA, degree of fatigue, and pain level in FMS patients. …”
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Impact of Order Restrictions on Hemoglobin A1c Requests at Primary Health Care Centers in Riyadh, Saudi Arabia by Alakeely M, Masud N, Bin Saleh F, Alghassab R, AlFagih N, Alkathiri MA, Albakri S

“…The outcome variable was inappropriate testing, and early testing was defined based on standard cutoffs of HbA1c, diabetic control, and patient history. The logistic regression analysis was used to identify predictors for early testing.Results: Among 16,290 participants, the mean age was 50 ± 16 years, with a predominance of females (66.5%). …”
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The impact of Covid-19 on harm reduction policies in Iran: an interrupted time series analysis by Siavash Beiranvand, Meysam Behzadifar, Aidin Aryankhesal, Seyed Jafar Ehsanzadeh, Masoud Behzadifar

“…Factors such as fear, stigma, resource reallocation, and logistical challenges contribute to the observed decreases. …”
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Patients’ perceived involvement in clinical decision-making and associated factors among adult patients admitted at Jimma Medical Center, Oromia, Ethiopia: a cross-sectional study... by Yonas Gurmu Dugasa, Keneni Dina Dibera, Wadu Wolancho Debancho, Gadisa Bekele Bedada

“…Bivariable and multivariable logistic regression analyses were used to identify factors associated with the outcome variable. …”
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Factors associated with occupational injuries among bricklayers and carpenters in Building Construction: insights from a mixed methods study in Osun State, Nigeria by Temitope Olumuyiwa Ojo, Adedeji Ayodeji Onayade, Nisha Naicker

“…Thematic analysis of the qualitative data was conducted to identify pertinent themes and subthemes. Binary logistic regression analysis was conducted to assess the factors influencing OIs, p-value less than 0.05 was taken as statistically significant. …”
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A nomogram model based on albumin-bilirubin score for predicting 90-day prognosis in patients with acute-on-chronic liver failure by Wei Ding, Wei Ding, Jiandong Shen, Li Zhang, Li Zhang, Jianguo Shao, Zhaolian Bian, Hong Xue

“…The predictive power of baseline parameters was assessed using univariate and multivariate logistic regression to construct model. Model performance was assessed using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA) and the Hosmer-Lemeshow test.ResultsCreatinine (CR) [odds ratio (OR) = 1.013, 95% confidence interval (CI): 1.004–1.022], ALBI (OR = 10.831, 95% CI: 4.009–33.247), Gender (OR = 1.931, 95% CI: 0.973–3.870) and ascites (OR = 3.032, 95% CI: 1.249–8.178) were identified as independent prognostic factors. …”
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Promoting trans patient autonomy in surgical preparation for phalloplasty and metoidioplasty: results from a community-based cross-sectional survey and implications for preoperativ... by Leo L. Rutherford, Elijah R. Castle, Noah Adams, Logan Berrian, Linden Jennings, Ayden Scheim, Aaron Devor, Nathan J. Lachowsky

“…Peer support such as online resources/blogs were rated as highly useful, along with surgical consults. In a multivariable logistic regression, higher perceived preparedness was associated with identifying as queer (inclusive of gay, bi and pansexual compared to being straight), and feeling that one’s assessment process was useful (as opposed to not useful). …”
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The association of serum total bile acids and deep venous thrombosis by Bolin Li, Xinxin Feng, Xinping Kang, Yi Zhao, Miaomiao Cao, Bao Xu, Hui Liu, Shuyi Deng, Yue Wu, Tao Zheng

“…Participants were categorized into three TBA level groups: low-level (TBA < 2.3 umol/L), moderate-level (2.3 ≤ TBA < 4.3 umol/L), and high-level (TBA ≥ 4.3 umol/L). Logistic regression analysis was utilized to assess the relationship between TBA levels and DVT risk, adjusting for potential confounders. …”
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Predictors and Prognostic Effects of Perioperative Myocardial Injury After Transcatheter Aortic Valve Replacement According to VARC-3 Criteria by Hu X, Zhao Z, Wang C, Feng D, Chen Y, Niu G, Zhou Z, Zhang H, Li Z, Ye Y, Wang M, Wu Y

“…We compared the baseline characteristics, perioperative conditions, and in-hospital and long-term endpoints between the PPMI and non-PPMI groups. Logistic regression analysis was used to determine the predictors of PPMI. …”
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Excessive occupational sitting increases risk of cardiovascular events among working individuals with type 1 diabetes in the prospective Finnish Diabetic Nephropathy Study by Matias Seppälä, Heidi Lukander, Johan Wadén, Marika I. Eriksson, Valma Harjutsalo, Per-Henrik Groop, Lena M. Thorn, FinnDiane Study Group

“…Data on cardiovascular events and mortality were retrieved from national registries. Multivariable logistic regression identified independently associated factors, while Kaplan-Meier curves and Cox proportional hazard models were used for prospective analyses. …”
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Assessment of hand hygiene practices among nurses at a regional hospital in Kandahar, Afghanistan: A cross-sectional study based on the World Health Organization (WHO) ‘Your 5 Mome... by Abdul Qadeer Baseer, Asmatullah Usmani, Shafiqullah Mushfiq, Mohammad Hassan Hassand, Bilal Ahmad Rahimi, Abdul Wahid Monib, Mohammad Salim Daqiq, Parwiz Niazi

“…Descriptive statistics and logistic regressions were applied to analyze the data using SPSS version 26.0. …”
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Intestinal protozoa infections and associated factors among diarrheal under-five children in Borena district, central Ethiopia by Alebie Mesfin, Woynshet Gelaye, Getaneh Alemu

“…At a 95 % confidence level, bivariate and multivariate logistic regressions were used to determine the factors linked to intestinal protozoa infection. …”
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