Pregnancy Outcomes among Patients with Sickle Cell Disease in Brazzaville by F. O. Galiba Atipo Tsiba, C. Itoua, C. Ehourossika, N. Y. Ngakegni, G. Buambo, N. S. B. Potokoue Mpia, A. Elira Dokekias

“…The average gestational age at delivery was 35 weeks for SCD women and 38 weeks for non-SCD women. From the logistic regression analysis using the comparison group as the reference group, there was excessive risk in SCD compared to non-SCD of infection (29.3% vs. 4.6%, OR = 21.7, 95% CI [7.6–62.7]; p=0.001), cesarean (63% vs. 35.4%, OR = 3.1, 95% CI [1.6–5.7]; p=0.001), prematurity (75.4% vs. 30.8%, OR = 8, 95% CI [3.0–23.2]; p=0.001), low birth weight (52.3% vs. 16.1%, OR = 4.7, 95% CI [2.4–9.4]; p=0.001), neonatal requiring admission to the intensive care unit (40.3% vs. 17.5%, OR = 3.2, 95% CI [1.6–6.3]; p=0.01), and neonatal death (21.5% vs. 4.8%, OR = 4.3, 95% CI [1.5–12.2]; p=0.01). …”
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Elevated fasting serum xylitol levels are associated with a lower risk of incident type 2 diabetes among individuals with prediabetes in the Chinese population by Yicheng Qi, Xiaoyong Li, Yu Liu, Meng Wang, Yiming Wu, Qing Su, Li Qin, Jing Ma

“…Multivariate conditional logistic regression was performed to assess the effects of the differential polyol levels on the risk of incident diabetes from prediabetes. …”
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Prevalence and determinants of early childhood caries among preschool children in district Shimla, North India: a cross -sectional study by Seema Thakur, Reetica Sharma, Parul Singhal, Deepak Chauhan

“…Association of various factors with ECC prevalence was done using chi square test and correlation of factors with prevalence of ECC was assessed using Spearman’s correlation coefficient. Binomial logistic regression analysis was performed to assess these variables for prevalence of ECC. …”
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Burden assessment of podoconiosis in Wayu Tuka woreda, east Wollega zone, western Ethiopia: a community-based cross-sectional study by Kebede Deribe, Gail Davey, Kenate Bekele, Tsige Amberbir, Geleta Tadele, Abdi Samuel

“…Data entered into Epi DATA were then exported to SPSS. Logistic regression analysis was conducted to identify factors associated with ALA.Results Prevalence of podoconiosis in the population was 3.05% (1197/39 256) (95% CI 2.9% to 3.2%). …”
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The association between consumption of ultra-processed foods and sperm quality parameters: a cross-sectional study by Mitra Soltani, Mohammad Reza Ahmadi, Zainab Shateri, Zahra Maghsoudi, Milad Rajabzadeh-Dehkordi, Moein Askarpour, Amir Hossein Asadi, Mehran Nouri

“…The association between UPFs and sperm parameters was analyzed using logistic regression. Results In the crude model, no significant associations were observed between the second and last tertiles of UPFs with abnormalities in sperm concentration, total motility, and morphology (p > 0.05 for all). …”
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Decomposing social groups differential in stunting among children under five in India using nationally representative sample data by Mriganka Dolui, Sanjit Sarkar

“…Descriptive statistics, multivariable logistic regression, F-test, t-test and chi-squared (χ²) test were applied to understand the prevalence, determinants, and associations, respectively. …”
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Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis by Fei Zuo, Lei Zhong, Jie Min, Jinyu Zhang, Longping Yao

“…After feature selection, four of 41 clinical factors were ultimately chosen for use in model construction. The Lasso-Logistic Regression (Lasso-LR) model showed a high discriminative ability to predict RRT risk in patients with AP, with an area under the receiver operating characteristic (AUROC) of 0.955 (95% CI 0.924–0.987) in the training set. …”
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Cancer incidence and the influence of immunosuppressive agents in Korean patients with systemic lupus erythematosus: a retrospective cohort study by Soo-Kyung Cho, Jung-Yong Han, Yena Jeon, Seung-Hun You, Sun-Young Jung, Eun Jin Jang, Yoon-Kyoung Sung

“…Incidence rates (IRs) per 10,000 person-years (PYs) for site-specific cancers of SLE patients were calculated using ICD-O-3 codes. Multivariable logistic regression analysis was utilized to assess the association between immunosuppressive agents and cancer development in SLE patients. …”
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Magnitude and Its Associated Factors of Urinary Tract Infection among Adult Patients Attending Tigray Region Hospitals, Northern Ethiopia, 2019 by Abrha Hailay, Kidane Zereabruk, Guesh Mebrahtom, Woldu Aberhe, Degena Bahrey

“…Data were analyzed by SPSS version 21. A binary logistic regression model was used to test the association between dependent and independent variables. …”
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Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

“…Five machine learning models, logistic regression (LR), support vector machine, neural net (NN), k-nearest neighbors (k-NN), and random forest (RF), were trained using 57 features generated from the sensor output to perform multiclass classification. …”
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Prevalence and associated factors of psychological distress among caregivers of children with malnutrition: a cross‑sectional study by Biazin Yenealem Mekuriaw, Berhanie Getnet, Endris Seid, Tadese Teferi, Amare Alemwork, Mastewal Aschale, Aklile Tsega

“…Bivariable and multivariable logistic analysis was conducted to identify factors associated with Psychological distress and Variables with P-value < 0.05 were considered to have significant association with 95% confidence interval. …”
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Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach by Alessia Vignoli, Giovanni Bellomo, Federico Paolini Paoletti, Claudio Luchinat, Leonardo Tenori, Lucilla Parnetti

“…A panel of 26 metabolites and 112 lipoprotein-related parameters was quantified and the logistic LASSO regression algorithm was employed to identify the optimal combination of metabolites-lipoproteins and their ratios to discriminate the groups of interest. …”
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Prognostic Significance of Percutaneous Coronary Intervention for First Acute Myocardial Infarction with Heart Failure: Five-Year Follow-Up Results by Zichao Cheng, Yuchen Shi, Hongyu Peng, Donghui Zhao, Qian Fan, Jinghua Liu

“…The clinical characteristics were compared between the two groups, and the influencing factors of heart failure after 5 years of PCI in patients with acute myocardial infarction were analyzed using logistic regression and receiver-operating characteristic (ROC) analyses. …”
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Socio-Demographic and Preoperative Clinical Factors Associated With 5-Year Weight Trajectories After Roux-en-Y Gastric Bypass and Sleeve Gastrectomy by Sahil Patel, MD, Chen Jiang, PhD, Brandon Cowan, MD, Jie Yin, MS, Catherine Schaefer, PhD, Sanjoy Dutta, MD, Rouzbeh Mostaedi, MD, Hélène Choquet, PhD

“…We then evaluated whether age, sex, race/ethnicity, neighborhood deprivation index and preoperative body mass index (BMI)/weight loss, diabetes, hypertension, and sleep apnea contributed to postoperative %TBWL using logistic regression models. Results:. Of 7698 patients (83.2% women), 48.6% underwent a RYGB and 51.4% underwent a SG. …”
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Undernutrition risk and obesity increase the risk of osteosarcopenia in Mexican adults aged 50 and over: a prospective cohort study by Isabel Omaña-Guzmán, Ashuin Kammar-García, Luis Miguel Gutierrez-Robledo, Oscar Rosas-Carrasco

“…To evaluate the association of obesity and undernutrition risk, we estimated mixed-effects logistic regression models. The final model was adjusted for sex, age, comorbidity, education, physical activity, and cognitive impairment.ResultsA total of 304 participants with two evaluations (baseline and follow-up) were included in the study. …”
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Socioeconomic disparity in stage at cancer diagnosis among patients with type 2 diabetes in Dutch primary care: a cross-sectional study by Geertruida H De Bock, Gijs W D Landman, Nanne Kleefstra, Bert van der Vegt, Sabine Siesling, Klaas H Groenier, Jing de Haan-Du

“…SES was estimated as low, intermediate or high based on postal codes and Dutch social research status scores. Logistic regression was performed, with stratification by sex and correction for age, body mass index, smoking, diabetes duration, glycaemic control and metformin use. …”
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Incidence and factors associated with postoperative headache among adult elective surgical patients at the university of gondar comprehensive specialized hospital, northwest Ethiop... by Sitotaw Tesfa Zegeye, Habtu Adane Aytolign, Zemenay Ayinie Mekonnen, Seid Adem Ahmed

“…Descriptive statistics was conducted to summarize patient information and determine the outcome’s incidence. Binary logistic regression was conducted to identify factors associated with postoperative headache. …”
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Impact of remnant cholesterol on acute ischemic stroke prognosis: a nationwide cohort analysis stratified by non-alcoholic fatty liver disease status by Sili Jiang, Aoming Jin, Aoming Jin, Wenli Xing, Jing Jing, Jing Jing

“…Poor functional outcomes were defined as a modified Rankin Scale (mRS) score of 3–6 at the 3-month follow-up. Multivariable logistic regression analyses were conducted to determine the association between RC and functional outcomes. …”
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Remotely sensed spectral indicators of bird taxonomic, functional and phylogenetic diversity across Afrotropical urban and non-urban habitats by Adewale G. Awoyemi, Tunrayo R. Alabi, Juan Diego Ibáñez-Álamo

“…A commonly highlighted reason for the lack of information from the Afrotropics has been the logistical problem associated with data collection in the field. …”
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Prevalence and Associated Factors of Intestinal Parasitic Infections among Food Handlers in Mettu Town, Southwest Ethiopia by Solomon Yeshanew, Melaku Tadege, Abdulhakim Abamecha

“…The chi-square test showed that intestinal parasite infection was found associated with personal hygiene (p ≤ 0.0001), nail trimming status (p ≤ 0.0001), and hair cover status (p ≤ 0.040). The multivariable logistic regression indicated that the risk to be infected with intestinal parasites were related with older age (p ≤ 0.032), food handlers who had no hand wash practices (p ≤ 0.033), who had no food handling and preparation training (p ≤ 0.005), poor personal hygiene (p ≤ 0.0001), who had not taken regular medical checkup (p ≤ 0.008), and whose nail was not trimmed (p ≤ 0.0001). …”
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