Psychological distress and associated factors among healthcare professionals in Ethiopia during the COVID-19 pandemic: a cross-sectional study by Berhanie Getnet, Dessie Abebaw Angaw, Zewudu Andualem, Habtamu Kerebih, Asmamaw Atnafu, Bizuneh Tesfaye, Demeke Demilew

“…To determine the predictor variables for depression, anxiety and stress, a binary logistic regression model was fitted. Finally, variables with p value <0.05 in the final model were declared as significantly associated with psychological distress.Result Almost half (49.5) of the participants have psychological distress. …”
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Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model by Jian Ding, Jian Ding, Zheng Long, Yiming Liu, Min Wang

“…This study aims to use the MIMIC-V database and various regression and machine learning models to screen and validate features closely related to aCCI, providing a theoretical basis for personalized management of AD patients.MethodsThe research data is sourced from the MIMIC-V database, which contains detailed clinical information of AD patients. Multiple logistic regression, LASSO regression, random forest, Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) models were used to screen for feature factors significantly correlated with aCCI. …”
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The Prognostic Value of Peripheral Blood Inflammatory Markers in Hepatocellular Carcinoma Treated with Lenvatinib Combined with PD-1 Inhibitors by Xin Y, Liu N, Peng G, Huang X, Cao X, Zhou X

“…The factors related to treatment response and survival outcomes were analyzed through logistic regression and Cox regression, respectively. …”
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Value of Plasma NGAL and Creatinine on First Day of Admission in the Diagnosis of Cardiorenal Syndrome Type 1 by Hao Phan Thai, Bao Hoang Bui, Tien Hoang Anh, Minh Huynh Van

“…The optimal cutoff plasma NGAL for diagnosing CRS1 was >353.23 ng/ml, area under curve (AUC) 0.732 (95% CI 0.65–0.80, p<0.001), sensitivity 74.47%, specificity 68.48%, positive predictive value 54.7%, and negative predictive value 84%. Multivariable logistic regression analysis eGFRCKDEPID1 remained the strongest independent predictor of CRS1. …”
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The association between digital technology use and depression among older people in China: a moderated mediation model by Qinmei Wu, Wei He, Jinfu Wang, Litao Du, Xiangli Xue, Qiang He, Yang Pan, Si Chen, Xianliang Zhang

“…Depression was assessed using the 10-item Center for Epidemiologic Studies Depression Scale. Logistic regression examined the association between digital technology use and depression. …”
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Sex-specific anatomical variation of circle of Willis arteries by Phebe J. Groenheide, Iris N. Vos, Robin Bülow, Irene C. van der Schaaf, Birgitta K. Velthuis, Ynte M. Ruigrok

“…Generalized Linear Models (GLMs) and logistic regression models with adjustments for covariates were used to compare anatomical variations between sexes. …”
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Multidrug resistance of Pseudomonas aeruginosa: do virulence properties impact on resistance patterns? by Poulomi Saha, Rubaiya Binte Kabir, Chowdhury Rafiqul Ahsan, Mahmuda Yasmin

“…Virulence factors were evaluated, and the presence of ten β-lactamase and six virulence genes was analyzed by performing PCR. By using a binary logistic regression test with a 95% confidence interval, the relationship between MDR phenotypes and the virulence attributes was assessed.ResultsThe susceptibility rate among the isolates was 70–75% for aminoglycosides (amikacin, gentamicin, netilmicin), 15–20% for cephalosporins (ceftazidime, ceftriaxone), 30–35% for quinolones (ciprofloxacin, levofloxacin), 10–15% for tetracyclines (tigecycline, doxycycline), 15–20% for carbapenem (meropenem), 10–15% for sulfonamide (co-trimoxazole), 5–10% for amoxiclav, and 30–35% for piperacillin/tazobactam. …”
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From ecological menace to roadside attraction: 28 years of evidence support successful biocontrol of purple loosestrife by Bernd Blossey, Victoria Nuzzo, Stacy B. Endriss

“…However, land managers charged with preventing ecological impacts face financial and logistical challenges to reduce threats by introduced species. …”
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Oxidative stress and retinopathy: evidence from epidemiological studies by Xiangliang Liu, Yu Chang, Yuguang Li, Yingrui Liu, Wei Song, Jin Lu, Naifei Chen, Jiuwei Cui

“…OBS was calculated from 16 dietary and 4 lifestyle components and categorized into tertiles. Weighted logistic regression was used to assess the association between OBS and retinopathy in the overall, diabetic, and non-diabetic populations, and Cox proportional hazards models evaluated the link between OBS and all-cause mortality in those with retinopathy. …”
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Genotypic and phenotypic characterization of antimicrobial resistance in Salmonella strains isolated from both No-Antibiotics-Ever (NAE) and conventional broiler complexes by Yagya Adhikari, Dianna V. Bourassa, Sabin Poudel, Matthew A. Bailey, Richard J. Buhr, Kenneth S. Macklin

“…Odds ratio and 95 % confidence limits were calculated using multivariate logistic regression for different complexes and stages of broiler production (α = 0.05). …”
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Morbidity and mortality patterns of preterm low birthweight neonates admitted to referral hospitals in the Amhara region of Ethiopia: retrospective follow-up study by Yalemtsehay Dagnaw Genie, Belete Fenta Kebede, Mulualem Silesh Zerihun, Desalew Tilahun Beyene

“…Data were entered into Epi-data V.4.4.2.1 and exported to STATA V.14 for analysis, and variables with a p value of &lt;0.05 at 95% confidence level in multivariable logistic regression model analysis were declared as statistically significant associated factors of mortality.Primary outcome Morbidity and mortality patterns in preterm low birthweight neonates.Results This study revealed that 37.8% (95% CI 32.4% to 43.5%) of preterm low birthweight neonates died. …”
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Comparisons of risk factors and outcomes between abdominal aortic aneurysm and peripheral arterial disease: a case-control study by Ian Beeton, Jay Acharya, Bengisu Kesin Meric, James Hobden, Tahir Ali, Thang S. Han

“…Methods: Group differences were examined by Fisher's exact tests with Bonferroni correction, postoperative complications (including delirium and pneumonia) and LOS by logistic regression, and mortality by Cox regression, adjusted for age, sex, smoking, co-morbidities and medications. …”
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Prioritization of the Skills to Be Mastered for the Daily Jobs of Japanese Dental Hygienists by Yoshiaki Nomura, Erika Kakuta, Ayako Okada, Yuko Yamamoto, Hiroshi Tomonari, Noriyasu Hosoya, Nobuhiro Hanada, Naomi Yoshida, Noriko Takei

“…For the analysis, item response theory (IRT), structural equation modeling (SEM), and logistic regression analysis were applied. According to the item response curve, the jobs were classified into 11 clusters. …”
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Prevalence and predictors of self-medication practices among adult household members in Hosanna town, Hadiya zone, central Ethiopia by Sentayehu Admasu Saliya, Awoke Girma Hailu, Sisay Foga Sebro, Misgana Desalegn Menesho

“…Both bivariable and multivariable binary logistic regressions were used to assess the explanatory variables associated with self-medication practices. …”
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Adjusting on-scene CPR duration based on transport time interval in out-of-hospital cardiac arrest: a nationwide multicenter study by Daseul Kim, Jae Yong Yu, Minha Kim, Gun Tak Lee, Sang Do Shin, Sung Yeon Hwang, Daun Jeong

“…The primary outcome was a 30-day neurologically favorable outcome, defined as cerebral performance category 1 or 2. Multivariable logistic regression was used to determine the variables associated with clinical outcomes. …”
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Association between diabetes mellitus and total hip arthroplasty outcomes: an observational study using the US National Inpatient Sample by Jasvinder A Singh, Sumanth Chandrupatla, Kranti Rumalla

“…In multivariable-adjusted logistic regression in the overall cohort, diabetes was associated with higher odds of a longer hospital stay (adjusted OR (aOR) 1.38; 95% CI 1.35 to 1.41), higher total charges (aOR 1.11; 95% CI 1.09 to 1.13), non-routine discharge (aOR 1.18; 95% CI 1.15 to 1.20), the need for blood transfusion (aOR 1.19; 95% CI 1.15 to 1.23), postprocedural infection (aOR 1.62; 95% CI 1.10 to 2.40) and periprosthetic joint infection (aOR 1.91; 95% CI 1.12 to 3.24). …”
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Prevalence of undernutrition and associated factors among adolescent pregnant women in Dolo-Ado town, Somali region, Ethiopia by Abdirahman Ahmed, Abdulkarim Mohammed, Mahamed Dol Ateye, Saleha Abdusamed

“…Descriptive statistics were used for data description, and binary logistic regression was performed to explore the associations between independent and dependent variables. …”
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Pre-injury frailty and clinical care trajectory of older adults with trauma injuries: A retrospective cohort analysis of A large level I US trauma center. by Oluwaseun Adeyemi, Corita Grudzen, Charles DiMaggio, Ian Wittman, Ana Velez-Rosborough, Mauricio Arcila-Mesa, Allison Cuthel, Helen Poracky, Polina Meyman, Joshua Chodosh

“…We performed multivariable logistic and quantile regressions to measure the influence of frailty on post-trauma care trajectories.…”
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Does the Frequency of Watching Television Matters on Overweight and Obesity among Reproductive Age Women in Ethiopia? by Mohammed Ahmed, Abdu Seid, Adnan Kemal

“…The outcome variables were both overweight and obesity, whereas the main exposure variable was the frequency of watching television. Multivariate logistic regression analysis was performed for adjusting potential confounders. …”
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Case-area targeted interventions and free chlorine residual in household drinking water: An observational cohort study during a cholera outbreak in Northeast Nigeria. by Lindsay Salem-Bango, Jennifer OKeeffe, Michael R Desjardins, Daniele Lantagne, Chiara Altare, Gurpreet Kaur, Kanaganathan Rangaiya, Patricia Oke-Oghene Obroh, Ahmadu Audu, Chimda Emmanuel Solomon, Thomas Heath, Emmanuel Emeka Ihemezue, Solomon Aye, Baptiste Lecuyot, Mustafa Sikder, Shannon Doocy, Melody Xiao, Paul B Spiegel

“…We also analyzed the associated relationship between CATI and environmental factors and odds of FCR <0.2 mg/L using quasi-Poisson multivariate logistic regression models with generalized estimating equations (GEE). …”
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