Magnitude of immediate postpartum anaemia and associated factors among mothers at selected public hospitals in North Shoa Zone, Oromia regional state, Ethiopia: a cross-sectional s... by Genanew Nigusu, Negash Wakgari, Mistiwat Abebe, Meseret Moroda

“…Bivariable and multivariable logistic regression analyses were performed to examine associations between variables. …”
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Gender Differences Are a Leading Factor in 5-Year Survival of Patients with Idiopathic Pulmonary Fibrosis over Antifibrotic Therapy Reduction by Pasquale Tondo, Giulia Scioscia, Cosimo C. De Pace, Fabiola Murgolo, Federica Maci, Giulia M. Stella, Dalila Pescatore, Maria Pia Foschino Barbaro, Donato Lacedonia

“…We used Kaplan–Meier survival curves and logistic regression to assess gender-related differences in outcomes. …”
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Individual- and Community-Level Risk Factors Associated with Childhood Diarrhea in Ethiopia: A Multilevel Analysis of 2016 Ethiopia Demographic and Health Survey by Setegn Muche Fenta, Teshager Zerihun Nigussie

“…A multilevel mixed-effects logistic regression model was used to identify both individual- and community-level risk factors associated with childhood diarrhea. …”
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Predictive Factors for Access-Site Pain Chronicity after Percutaneous Coronary Intervention via Radial Artery Access by Liuda Brogiene, Giedre Baksyte, Agne Klimaite, Martynas Paliokas, Andrius Macas

“…Verbal analogue scale was used to evaluate pain intensity after 12, 24, and 48 h and 3 months after PCI. The univariate logistic regression analysis was used. Results. Pain prevalence decreased from 29% straight after PCI and 54% two hours later to 3.7% following 3 months after procedure. …”
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The Association Between Adiponectin Gene Polymorphism (rs1501299) and Metabolic Syndrome by Yin L, Tang Y, Yuan Y

“…The distribution of the three genotypes at the rs1501299 locus was statistically different between the Mets patients and the control group (GG, GT, and TT, p < 0.05), and the frequencies of the T alleles were higher in the Mets patients than in control group (GT and TT, p < 0.05). Logistic regression analysis showed that the study subjects with the T allele had a higher risk of Mets than those with the G allele (OR = 1.85, p < 0.05). …”
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Atherogenic Index in Type 2 Diabetes and Its Relationship with Chronic Microvascular Complications by Zhen Li, Qi Huang, Li Sun, Tengfei Bao, Zhe Dai

“…Furthermore, AIP values directly correlated with BMI (r=0.182, P<0.001), waist circumference (r=0.129, P<0.001), blood glucose index (FBG (r=0.153, P<0.001), PPBG (r=0.117, P<0.001), and HbA1c (r=0.074, P<0.001)), insulin resistance (HOMA-IR; r=0.112, P<0.001), and uric acid (UA, r=0.177, P<0.001). Multiple logistic regression analysis showed that waist circumference, HOMA-IR, FBG, systolic blood pressure, and UA were independent risk factors for AIP (all P<0.05). …”
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COVID-19 vaccine uptake in Zimbabwe and Sierra Leone: an application of Health Belief Model constructs by Simon Ssentongo, Alex Muhereza, Morie Mustapha, Ruth Gemi, Dennis Cherian, Rebecca Waugh, Benjamin Crookston, Cougar Hall, Mary Linehan, Hayden Borg, Joshua West

“…We then employed adjusted logistic regression models to investigate the correlation between health behavior change theory constructs and vaccine uptake, taking into account variables like gender, age, education, and country of residence. …”
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Community credit scores and community socioeconomic deprivation in association with type 2 diabetes across an urban to rural spectrum in Pennsylvania: a case–control study by Jonathan Pollak, Melissa N Poulsen, Karen Bandeen-Roche, Katherine Moon, Joseph DeWalle, Annemarie G Hirsch, Brian S Schwartz, Lorraine Dean, Meghann Reeder

“…Individuals were geocoded and assigned the CCS of their residential community. Logistic regression models adjusted for confounding variables and stratified by community type (townships (rural/suburban), boroughs (small towns) and city census tracts). …”
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Prevalence and Determinants of Geohelminthiasis among School-Age Children in Jimma City, Ethiopia by Ahmed Zeynudin, Teshome Degefa, Sultan Suleman, Abdulhakim Abamecha, Zuber Hajikelil, Andreas Wieser

“…Stool samples from each study participant were collected and examined microscopically using the Kato–Katz technique. Multivariate logistic regression model was used to identify risk factors associated with STH infections. …”
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Assessment of factors predicting the nutritional status of geriatric people in Tabuk, Saudi Arabia by Samar Lafi Aljohani

“…Results of multivariate logistic regression analysis revealed that compared to married participants, widowed participants were at higher significant risk for malnutrition [adjusted odds ratio (aOR): 2.59, 95% confidence interval (CI): 1.01–6.85, P = 0.049]. …”
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Medication Belief and Adherence among Patients with Epilepsy by Yirga Legesse Niriayo, Abraham Mamo, Kidu Gidey, Gebre Teklemariam Demoz

“…Data were analyzed using binary logistic regression analysis. Result. We included a total of 292 patients. …”
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Status of sleeping habits and its influence on growth and metabolism of children in Beijing: a population-based cross-sectional study by Yiren Chen, Lijun Wu, Zijun Liao, Yiying Huang, Qin Liu, Shaoli Li, Junting Liu, Xinnan Zong, Jun Tai, Fangfang Chen

“…SDB was significantly associated with BMI, fat mass percentage (FMP), waist-to-height ratio (WHtR), SBP, triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) across all age groups (p < 0.05), while SDB was positively correlated with HAZ only in children aged 6–11 years (β = 0.240, p < 0.05). Logistic regression analysis showed that insufficient sleep was associated with FMP, WHtR, and overweight/obesity in children aged 6–11 years (p < 0.05). …”
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COVID-19 vaccine uptake in Skåne county, Sweden, in relation to individual-level and area-level sociodemographic factors: a register-based cross-sectional analysis by Per-Olof Östergren, Louise Bennet, Jonas Björk, Adam Mitchell, Mahnaz Moghaddassi, Malin Inghammar

“…Associations between individual-level and area-level sociodemographic factors and vaccine uptake were modelled with logistic regression, with average marginal effects and estimated proportion vaccinated subsequently estimated.Results Being vaccinated with ≥2 doses vs 0 doses was positively associated with education (tertiary vs primary, OR 1.5, 95% CI 1.3 to 1.7), household disposable income (Q5 vs Q1, OR 2.3; 95% CI 1.9 to 2.7), comorbidities (≥2 doses vs none, OR 1.9, 95% CI 1.8 to 1.9) and residential area type (affluent socioeconomic conditions vs poor, OR 2.0, 95% CI 1.6 to 2.4). …”
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Clinical features and factors associated with short-term prognosis in patients with pulmonary embolism by V.Y. Tseluyko, L.M. Yakovleva, S.M. Sukhova, O.V. Radchenko, T.V. Pylova, A.S. Vnukova, K.Yu. Kinoshenko

“…Age over 65 years, the presence of congestive heart failure and obesity are independent factors that, according to uni- and multivariate logistic regression analysis, are associated with poor short-term prognosis in patients with PE.…”
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Determinants of postnatal care service utilization among mothers of Mangochi district, Malawi: a community-based cross- sectional study by Jonas, Sagawa, Allen, Kabagenyi, Godwin, Turyasingura, Saul Eric, Mwale

“…Data was coded in EpiData version 3.1 and analysed in Stata version 12. A multivariable logistic regression adjusted for confounding factors was used to identify predictors of PNC utilization using odds ratio with 95% confidence interval and p-value of 0.05. …”
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Agricultural Innovation Characteristics and Their Utilisation: A Case of National Agricultural Research Organization by Barekye, Alex

“…The data was collected, coded, cleaned and analysed using SPSS to generate frequency tables and STATA to generate an ordered logistic regression of innovation characteristics and market attributes on utilization of agricultural innovations. …”
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Development of a novel predictive model for a successful stone removal after flexible ureteroscopic lithotripsy based on ipsilateral renal function: a single-centre, retrospective... by Hong Li, Liang Zhou, Xi Jin, Yucheng Ma, Zhongyu Jian, Liyuan Xiang, Deyi Luo, Kun-Jie Wang

“…Lasso regression selected the same five predictors as those identified by univariate and multivariate logistic regression analyses, thus verifying our model. …”
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Personalized optimization of systematic prostate biopsy core number based on mpMRI radiomics features: a large-sample retrospective analysis by Zhenlin Chen, Zhihao Li, Ruiling Dou, Shaoqin Jiang, Shaoshan Lin, Zequn Lin, Yue Xu, Ciquan Liu, Zijie Zheng, Yewen Lin, Mengqiang Li

“…The t-tests, Mann-Whitney U-tests and chi-squared tests were performed to evaluate the significance of features. The logistic regression was used for calculating the PCa risk score (PCS). …”
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Latent class cluster analysis of knowledge on acute myocardial infarction in community residents: a cross-sectional study in Tianjin, China by Jing Wang, Xu Zhang, Yan Zhang, Jing Ma, Nan Zhang, Yuan Wang, Jing Gao, Jian-yong Xiao, Yin Liu, Ji-xiang Wang, Xiao-wei Li, Ming-dong Gao, Jing-xian Wang, Shi-bo Xu

“…Latent GOLD Statistical Package was used to identify and classify the respondent subtypes of the knowledge on AMI symptoms or modifiable RFs. Multivariable logistic regression was performed to identify factors that predicted high knowledge membership.Participants A structured questionnaire was used to interview 4200 community residents aged over 35 in China. 4122 valid questionnaires were recovered.Results For AMI symptoms and RFs, the knowledge levels were classified into two or three distinct clusters, respectively. 62.7% (Symptom High Knowledge Cluster) and 39.5% (RF High Knowledge Cluster) of the respondents were able to identify most of the symptoms and modifiable RFs. …”
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Carbapenem resistance in the Dominican Republic: clinical characteristics, genotypic profiles, and risk factors by Ricardo Ernesto Hernández-Landa, Rita Rojas-Fermín, Anel Guzman-Marte, Katherine Peralta Agramonte, Missel María Jiménez Cedano, Surelly Alexandra Mora-Peralta, Patricia Sanrregré-Oven, Alfredo J. Mena Lora

“…Statistical analysis included univariate and multivariate logistic regression to identify independent risk factors for CRE. …”
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