Association between Gastroesophageal Reflux Disease and Elastographic Parameters of Liver Steatosis and Fibrosis: Controlled Attenuation Parameter and Liver Stiffness Measurements by Ivana Mikolasevic, Goran Poropat, Tajana Filipec Kanizaj, Nadija Skenderevic, Marko Zelic, Marija Matasin, Luka Vranic, Andrea Kresovic, Goran Hauser

“…Even though we have found an upward trend in the prevalence of GERD, hiatal hernia, and insufficient cardia, there was no significant difference between subjects with fibrosis (F) 1-2 and F3-4 stage of fibrosis or F1 and F2-4. In a binary logistic regression, a significant positive association with GERD was obtained for CAP. …”
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Self-reported sexually transmitted infections and associated factors among sexually active men in East Africa: a multilevel analysis of recent demographic and health surveys by Beminate Lemma Seifu, Yohannes Mekuria Negussie, Bezawit Melak Fente, Zufan Alamrie Asmare, Angwach Abrham Asnake, Meklit Melaku Bezie, Hiwot Atlaye Asebe

“…A multilevel mixed-effects logistic regression model was fitted to identify factors associated with self-reported STIs. …”
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Determinants of Cesarean Section Deliveries in Public Hospitals of Addis Ababa, Ethiopia, 2018/19: A Case-Control Study by Areaya Gebreegziabher Hailu, Tsegaye Kebede Fanta, Fissaha Tekulu Welay, Natnael Etsay Assefa, Surafel Aregawi Hadera, Gebrekiros Aregawi Gebremeskel, Hagos Weldeslassie Gebremedhin, Guesh Gebreayezgi Asefa

“…Data were entered on EpiData 3.1 and exported to SPSS version 20 for cleaning and analyzing. Binary logistic regression and AOR with 95% CI were used to assess the determinants of caesarean section. …”
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Evaluating catastrophic health expenditures among patients with long bone fractures in Ghana's major teaching hospitals: a hospital-based analysis by Alexis D. B. Buunaaim, Michel Adurayi Amenah, Dominic Konadu-Yeboah, Richard Baidoo, Amgbo Asare, Wilfred Larbi Addo, Claude Martin

“…We collected demographic, clinical, and economic data, including OOP payments and patient-reported income, to assess the incidence of CHE at varying income thresholds (10%, 20%, 30%, 40%). Logistic regression models were used to identify predictors of CHE, with variables including age, gender, education, region, fracture type, injury severity, and NHIS coverage. …”
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Maternal Characteristics Are Associated with Child Dietary Diversity Score, in Golina District, Northeast Ethiopia: A Community-Based Cross-Sectional Study by Getahun Fentaw Mulaw, Fentaw Wassie Feleke, Seteamlak Adane Masresha

“…The child dietary diversity score was determined by the WHO child dietary diversity score scale, using a 24-hour dietary recall method, and data were collected using an interviewer-administered questionnaire. Multivariable logistic regression was used to identify predictor variables, and the level of significance was determined at P value <0.05. …”
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A Fortified Method to Screen and Detect Left Ventricular Hypertrophy in Asymptomatic Hypertensive Adults: A Korean Retrospective, Cross-Sectional Study by Hyo Eun Park, Sung-Bin Chon, Sang Hoon Na, Heesun Lee, Su-Yeon Choi

“…Independent variables to explain LVH (LV mass index>115 g/m2 for men and >95 g/m2 for women calculated on echocardiography) were chosen among Sokolow-Lyon voltage amplitude (SLVA), CTR and cardiovascular risk factors by multiple logistic regression analysis. The diagnostic rule to detect LVH was made by summing up the rounded-off odds ratio of each independent variable and was validated using bootstrapping method. …”
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Efficacy of Novel Noncontrast Cardiac Magnetic Resonance Methods in Indicating Fibrosis in Hypertrophic Cardiomyopathy by Maedeh Sharifian, Nahid Rezaeian, Sanaz Asadian, Ali Mohammadzadeh, Ali Nahardani, Kianosh Kasani, Yaser Toloueitabar, Ali Mohammad Farahmand, Leila Hosseini

“…The regional longitudinal and circumferential strain parameters showed significant associations with LGE (P<0.001), while regional circumferential strain was the only independent predictor of LGE in logistic regression models (OR: 1.140, 95% CI: 1.073 to 1.207, P<0.001). …”
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Association between combined healthy lifestyles and infertility: a cross-sectional study in US reproductive-aged women by Xiaofeng Ye, Xiaoxia Song, Sihang Zhou, Guoqing Chen, Liping Wang

“…A healthy lifestyle score was created based on healthy diet (top two-fifths of the Healthy Eating Index-2015 score), low-to-moderate alcohol drinking (1–14 g/day), optimal waist circumference (less than 80 cm), adequate physical activity (at least 150 min of moderate-to-vigorous leisure-time exercise per week), and current nonsmoking. Weighted logistic regression analysis was applied to assess the link between healthy lifestyle scores and the risk of infertility, adjusting for potential confounders. …”
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Emergency and critical care medicine residents’ competency to identify patient ventilator asynchrony using a mechanical ventilator waveform analysis in Addis Ababa, Ethiopia: a mul... by Wegderes Bogale, Merahi Kefyalew, Finot Debebe

“…Descriptive statistics, the chi-square test, nonparametric tests, and multi-variable logistic regression were used for data analysis. Results Eighty senior residents responded out of 91, including 42 from TASH and 38 from SPHMMC. …”
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Association of frailty with non-laboratory based cardiovascular disease risk score among older adults and elderly population: insights from longitudinal aging study in India (LASI-... by Pritam Halder, Semanti Das, Anshul Mamgai, Divya Sharma, Ashish Behera, Pulak Syal, Vineeth Rajagopal, Tanvi Kiran

“…Separate multivariable logistic regression was performed after adjusting for socio-economic, demographic and health related variables. …”
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The relationship between cholesterol levels and thyroid eye disease by Caroline Cardo, Roberto Bernardo Santos, Ana Beatriz Pinotti Pedro Miklos, Sabrina Barbosa Jaconis, João Hamilton Romaldini, Danilo Villagelin

“…Results: Smoking and elevated LDL cholesterol levels were significantly associated with TED activity and severity. Logistic regression revealed correlations between higher LDL cholesterol, total cholesterol and increased clinical activity score (P < 0.01, OR: 1.012, 95% CI: 1.003–1.021; P < 0.01, OR: 1.010, 95% CI: 1.002–1.018). …”
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Blood Pressure Control among Hypertensive Diabetic Patients on Follow-Up at Chronic Clinic of Nekemte Referral Hospital in West Ethiopia by Mohammed Gebre Dedefo, Dureti Bayisa Gemechu, Ginenus Fekadu, Tesfa Tekle Dibessa

“…The odds ratio, along with 95% confidence level, was estimated to identify factors associated with uncontrolled BP by using multivariable logistic regression analysis. The level of statistical significance was declared at p value <0.05 levels. …”
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Associations of the Need for Surgery in Emergency Department Patients with Small Bowel Obstructions by Daniel J. Berman, Alexander W. Mahler, Ryan C. Burke, Andrew E. Bennett, Nathan I. Shapiro, Leslie A. Bilello

“…We identified univariate associations of outcome and then performed a multivariate logistic regression to identify independent associations of each outcome. …”
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Involvement of RBP4 in Diabetic Atherosclerosis and the Role of Vitamin D Intervention by Wan Zhou, Shan-Dong Ye, Chao Chen, Wei Wang

“…In addition, multivariable logistic regression analysis showed that serum RBP4, SBP, and HDL-c were predictors for the presence of diabetic atherosclerosis. …”
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A descriptive study of blood pressure in people with self-reported substance use seeking health care in region F, Johannesburg, South Africa by K.E. Oladimeji, S. Gumede, A. Nyatela, S. Nonyukela, R. Mohale, S.T. Lalla-Edward, D. Dwarka

“…Data was analysed using STATA version 17. Logistic regression analysis was performed to identify factors associated with elevated blood pressure. …”
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The Association of Depression and Anxiety Disorders With Gastrointestinal Symptoms Among Nurses by Behnam Masihipour, Fariborz Mansour-Ghanaei, Saman Maroufizadeh, Soheil Hassanipour, Mehrnaz Asgharnezhad, Adele Isanazar, Kourosh Mojtahedi, Farahnaz Joukar

“…Anxiety and depression were assessed using the depression, anxiety and stress scale-21 (DASS-21) questionnaire. Multiple logistic regression analyses were used. Data were analyzed using SPSS software, version 16 and GraphPad Prism software, version 8.0.1, was used to design graphs. …”
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Association of dysautonomia and different risk factors in patients with Guillain-Barré syndrome in a tertiary hospital in the Philippines by Gerald T. Pagaling, Lowrence Precious C. Dichoso, Nikolai Gil D. Reyes, Mario B. Prado

“…Simple and multiple logistic regression analysis were conducted to determine the factors associated with dysautonomia and the relationships were expressed using odds ratio. …”
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Access to HIV testing and factors associated among sexual minority women in a metropolitan region of the Brazilian Amazon by Janaína de Freitas Vale, Wanderson Santiago de Azevedo Júnior, Paula Regina Barbosa de Almeida, Adinaldo Moreira Martins, Flavine Evangelista Gonçalves, Eliã Pinheiro Botelho, Fabianne de Jesus Dias de Sousa, Cintia Yolette Urbano Pauxis Aben-Athar, Luiz Fernando Almeida Machado, Glenda Roberta Oliveira Naiff Ferreira

“…In the final model, multiple backward logistic regression was performed, the highest chances of never having been tested for HIV were participants aged 18 to 30 years (OR 2.99; p = 0.038); with income less than or equal to 1 minimum wage (OR 1.91; p = 0.026); participants who did not have children (OR 6.67; p = 0.012); and those who did not have an active sexual life (OR 4.73; p = 0.006). …”
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Evaluating the risk of underdiagnosis of invasive breast cancer in needle biopsy-diagnosed ductal carcinoma in situ eligible for radiofrequency ablation by Hideo Shigematsu, Mutsumi Fujimoto, Kanako Suzuki, Haruka Ikejiri, Ai Amioka, Emiko Hiraoka, Shinsuke Sasada, Koji Arihiro, Morihito Okada

“…The distribution of pathological T (pT) stages among these lesions was as follows: DCIS in 169 lesions (80.9%), pT1mi in 20 lesions (9.6%), pT1a in 5 lesions (2.4%), pT1b in 9 lesions (4.3%), pT1c in 5 lesions (2.4%), and pT2 in 1 lesion (0.5%). Multivariate logistic regression analysis identified lesion size ≥ 10 mm as a significant risk factor for underdiagnosis (p = 0.016). …”
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High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study by Indah Budiastutik, Martha I. Kartasurya, Hertanto W. Subagio, Bagoes Widjanarko

“…Moreover, multivariate logistic regression showed that health insurance ownerships (OR = 5.956; 95% CI 2.256–15.661; p≤0.001) and history of hypertension (OR = 3.257; 95% CI 1.451–7.311; p=0.004), and systolic blood pressure (OR = 2.141; 95% CI 1.092–4.196; p=0.027) were the risk factors for prediabetes. …”
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