Sexual Practices and HIV Prevention Strategies Used by Female Sex Workers in Lagos, Nigeria: An Assessment of the Willingness to Use a Microbicide by Ekama SO, Sheth AN, Ilomuanya MO, Okwuzu JO, Musa AZ, Idigbe I, Ezeobi PM, Oladele DA, Ezechi OC, Salako BL

“…Descriptive statistics were used to present the results, and a multiple logistic regression model was used to determine the factors associated with willingness to use a microbicide.Results: A total of 461 female participants with a mean-age of 29.63 ± 8.8 years were included in the analysis of which 34.3% had > 4 sexual partners, 91.8% used condoms, 53.6% engaged in anal sex, 69.6% had experienced condom rupture, and 31% would “accept unprotected sex” if the male partner refuses to use a condom. …”
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The role of Anti-PAD4, Anti-CarP, and Anti-RA33 antibodies combined with RF and ACPA in predicting abatacept response in rheumatoid arthritis by Alberto Floris, Maria Maddalena Angioni, Mattia Fadda, Micaela Rita Naitza, Mattia Congia, Elisabetta Chessa, Matteo Piga, Alberto Cauli

“…The achievement of a moderate or good EULAR response at 6 months and the 3-years retention were analyzed as treatment outcomes. Multiple logistic regression models and Cox regression hazard analysis models were built to identify the association between such outcomes and the different AAbs, after adjustment for different confounders. …”
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Clinical Features and Changes in Insulin Requirements in People with Type 2 Diabetes Requiring Insulin When Hospitalised with SARS-CoV-2 Infection by Antonella Corcillo, Aaisha Saqib, Niruthika Sithamparanathan, Amina Khanam, Jamal Williams, Abhiti Gulati, Dulmini Kariyawasam, Janaka Karalliedde

“…People requiring insulin were younger, had a higher preadmission HbA1c, were more frequently on oral medication for diabetes before the admission, and were more likely to be obese (body mass index ≥30 kg/m2), with p ≤ 0.001 for all. In multivariable logistic regression analyses, we observed that younger age and higher HbA1c before admission were independently associated with needing insulin, with one-year increase in age associated with decreased odds of needing insulin initiation (OR 0.91, 95% CI 0.83–0.99), and increasing preadmission HbA1c by 1 mmol/mol associated with an increased odds of insulin initiation (OR 1.05, 95% CI 1.002–1.11) (p < 0.05 for both). …”
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The Joint Association of Sleep Quality and Outdoor Activity with Asthma and Allergic Rhinitis in Children: A Cross-Sectional Study in Shanghai by Lu R, Zhang Y, Chen Y, Lyu J, Li R, Kang W, Zhao A, Ning Z, Hu Y, Lin X, Tong S, Lu Z, Li S

“…The Children’s Sleep Habits Questionnaire (CSHQ) and the International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire were respectively used to evaluate the sleep quality, allergic rhinitis and asthma. Multivariable logistic regression models were used to analyze the correlation of sleep quality, outdoor activities and their combination with children’s asthma and allergic rhinitis.Results: The overall prevalence of asthma and allergic rhinitis in our sampled children were 10.2% and 17.6%, respectively. …”
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Predictive Validity of Hospital-Associated Complications of Older People Identified Using Diagnosis Procedure Combination Data From an Acute Care Hospital in Japan: Observational S... by Seigo Mitsutake, Tatsuro Ishizaki, Shohei Yano, Takumi Hirata, Kae Ito, Ko Furuta, Yoshitomo Shimazaki, Hideki Ito, Alison Mudge, Kenji Toba

“…Generalized linear regression models were used to examine the associations between HAC-OP-DPC and LOS, and logistic regression models were used to examine the associations between HAC-OP-DPC and discharge to other hospitals and long-term care facilities (LTCFs). …”
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Association of genomic predictions for fertility traits with reproductive outcomes in dairy cows under 2 estrus detection and timed artificial insemination programs by D.B. Melo, R.G.S. Bruno, R.S. Bisinotto, F.S. Lima

“…Statistical analyses included logistic regression used for AIE, P1, and PL; Poisson regression for the NSFC; and linear regression for TP1. …”
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Investigating service delivery and perinatal outcomes during the low prevalence first year of COVID-19 in a multiethnic Australian population: a cohort study by Vincent W Lee, N Wah Cheung, Dharmintra Pasupathy, Sarah J Melov, James Elhindi, Therese M McGee, Seng Chai Chua, Justin McNab, Thushari I Alahakoon

“…Objective Investigate the impact of the COVID-19 pandemic on perinatal outcomes in an Australian high migrant and low COVID-19 prevalent population to identify if COVID-19 driven health service changes and societal influences impact obstetric and perinatal outcomes.Design Retrospective cohort study with pre COVID-19 period 1 January 2018–31 January 2020, and first year of global COVID-19 period 1 February 2020–31 January 2021. Multivariate logistic regression analysis was conducted adjusting for confounders including age, area-level socioeconomic status, gestation, parity, ethnicity and body mass index.Setting Obstetric population attending three public hospitals including a major tertiary referral centre in Western Sydney, Australia.Participants Women who delivered with singleton pregnancies over 20 weeks gestation. …”
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Barriers to healthcare access among female youths in Mozambique: a mixed-effects and spatial analysis using DHS 2022/23 data by Habtu Kifle Negash, Hiwot Tezera Endale, Hailu Aragie, Winta Tesfaye, Mihret Getnet, Tseganesh Asefa, Yibeltal Yismaw Gela, Alebachew Ferede Zegeye

“…Analyses included multilevel logistic regression and spatial methods (Global Moran’s I, SaTScan) using Stata 17 and ArcGIS 10.7 to identify barriers and clusters. …”
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Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery by Wanli Ma, Xinyi Liu, Ran Yu, Jiannan Song, Lina Hou, Ying Guo, Hongwei Wu, Dandan Feng, Qi Zhou, Haibo Li

“…A diagnostic model was developed using logistic regression, and its performance was validated using ROC curve analysis. …”
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Trends and factors associated with adverse pregnancy outcomes in Zimbabwe, 2005 - 2015 by T Chibura, H Twabi, K Maluleke, A Musekiwa

“…Bivariate and multivariable logistic regression models were applied to the 2015 dataset to determine factors associated with adverse pregnancy outcomes. …”
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Spatial distribution and determinants of children ever born among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini Ethiopian demographic health surv... by Ahmed Fentaw Ahmed, Bezawit Adane, Tilahun Degu Tsega, Mekides Nigusu, Kalaab Esubalew Sharew, Abebaw Molla, Mulugeta Tesfa

“…Multi-level (two-level) logistic regression analysis was used and variables with a P value less than 0.05 were considered statistical significance. …”
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Differentiating Liver Metastases from Primary Liver Cancer: A Retrospective Study of Imaging and Pathological Features in Patients with Histopathological Confirmation by Laura Andreea Ghenciu, Mirela Loredana Grigoras, Luminioara Maria Rosu, Sorin Lucian Bolintineanu, Laurentiu Sima, Octavian Cretu

“…Statistical analyses were performed using chi-squared tests, <i>t</i>-tests, and logistic regression, with a significance level of <i>p</i> < 0.05. …”
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Pre-exposure Prophylaxis Awareness and Endorsement among Adolescents and Young Adults in Tanzania: Insights from the 2022 Demographic and Health Survey by Alpha Johnson Kapola, Rahma Musoke, Glenda Marie Manayon, Hassan Fredrick Fussi, Hafidha Mhando Bakari, Haji Mbwana Ally, Swalehe Mustafa Salim, Zuhura Mbwana Ally, Lynn Moshi, Mariam Salim Mbwana, Habib Omari Ramadhani

“…Demographic characteristics and HIV testing information were also collected. Logistic regression models were used to assess factors associated with PrEP awareness and endorsement, and the weighted prevalence of these outcomes was calculated. …”
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Predictors of Unfavorable Outcomes in Patients with Atrial Fibrillation and Concomitant Heart Failure with Different Ejection Fractions: RIF-CHF Register One-Year Follow-Up by Igor Zhirov, Natalia Safronova, Yulia Osmolovskaya, Alina Alshevskaya, Andrey Moskalev, Sergey Tereshchenko

“…Patients with AF + HFpEF had lower risk to achieve the combination point (stroke + IM + CV death) as compared to patients with AF + HFmrEF and AF + HFrEF (12.7% vs. 22% and 25.5%, p<0.001). Regression logistic analysis revealed that factors such as demographic characteristics, disease severity, and administered treatment had different effects on the risk of unfavorable outcomes depending on ejection fraction group. …”
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Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational study. by Guiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne J Gordijn, Kimberley Kavanagh, Paul Murray, Laura A Magee, Henk Groen, Peter von Dadelszen

“…., the PIERS Machine Learning [PIERS-ML] model, and the logistic regression-based fullPIERS model) accurately identify individuals at greatest or least risk of adverse maternal outcomes within 48 h following admission. …”
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Assessment of post-partum physical exercise practice and its associated factors among women in postpartum period, in West Wollega zone, Oromia, Ethiopia by Tegegne Yadeta, Daniel Belema, Seifedin Ahmad, Nurye Sirage, Abubeker Seid Ali, Kedir Ali, Ali Yimer

“…Descriptive statistics and logistic regression were employed for the analysis. …”
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The association of visceral and subcutaneous fat areas with phenotypic age in non-elderly adults, mediated by HOMA-IR and HDL-C by Yuanhong Liu, Min Xu, Liqing Wang, Linyun Meng, Mengran Li, Shumin Mu

“…To examine the association between body fat area and PhenoAgeAccel, logistic regression was applied. Additionally, subgroup analysis was used to identify variations in population characteristics. …”
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The clinical prediction model to distinguish between colonization and infection by Klebsiella pneumoniae by Xiaoyu Zhang, Xifan Zhang, Deng Zhang, Jing Xu, Jingping Zhang, Xin Zhang

“…Antimicrobial susceptibility testing was performed on the included strains, and through univariate logistic regression analysis, 15 key influencing factors were identified, including: age &gt; 62 years, ESBL, CRKP, number of positive sputum cultures for KP, history of tracheostomy, use of mechanical ventilation for &gt;96 h, indwelling gastric tube, history of craniotomy, recent local glucocorticoid application, altered consciousness, bedridden state, diagnosed with respiratory infectious disease upon admission, electrolyte disorder, hypoalbuminemia, and admission to ICU (all p &lt; 0.05). …”
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Epidemiology, Risk Factors, and Predictors of Disability in a Cohort of Jordanian Patients with the First Ischemic Stroke by Majdi Al Qawasmeh, Belal Aldabbour, Aiman Momani, Deema Obiedat, Kefah Alhayek, Raid Kofahi, Ahmed Yassin, Khalid El-Salem

“…Chi-square and univariate analysis of variance “ANOVA” were used to investigate the relationship between risk factors and type of stroke. Finally, logistic regression analysis was used to measure the contribution of each of the independent variables. …”
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Treatment outcomes and associated factors among patients with multidrug-resistant tuberculosis in Ashanti Region, Ghana: a retrospective, cross-sectional study by Peter Agyei-Baffour, Victoria Panford, Emmanuel Kumah, Collins Kokuro, Prince Owusu Adoma, Michael Afari Baidoo, Adam Fusheini, Samuel Egyakwa Ankomah, Samuel Kofi Agyei

“…Patients with no record of treatment outcome were excluded from the study.Outcome measures The main outcome variable for the study was MDR-TB treatment outcome, standardised as ‘cured’, ‘treatment completed’, ‘treatment failure’, ‘died’ and ‘lost to follow-up’. A logistic regression model was fitted for factors associated with the outcome measure.Results Out of 159 patients included in the analysis, 86 (54.1%) were declared cured, 28 (17.6%) completed their treatment successfully, 6 (3.8%) were declared treatment failure, 12 (7.5%) were lost to follow-up and 27 (17.0%) died. …”
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