Human and entomological determinants of malaria transmission in the Lihir Islands of Papua New Guinea: A cross-sectional study. by Pere Millat-Martínez, Michelle Katusele, Bernadine Kasian, Elias Omera, Esther Jamea, Lina Lorry, Aina Casellas, Dan Ouchi, Chilaka Wali, Sylvia Raulo, Arthur Elizah, Peter Kaman, Absalom Dau, Muker Sakur, Lemen Kilepak, Siub Yabu, Nelson Koata, John Kave, Michael Toa, Christopher Urakusie, Charles Kongs, Frank Kisba, Moses Laman, Oriol Mitjà, William Pomat, Quique Bassat, Stephan Karl, Bàrbara Baro

“…<h4>Methods</h4>In 2019, a cross-sectional study was conducted on 2,914 individuals assessing malaria prevalence through rapid diagnostic tests (RDT), microscopy, and quantitative PCR (qPCR). A logistic regression analysis identified infection-associated factors. …”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

“…Analysis included 12 variables: age, gender, race, PIR, education, smoking, alcohol, BMI, hyperlipidemia, hypertension, diabetes, and AO. Logistic regression analyzed the association between AO and CVD, with sensitivity and subgroup analyses. …”
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Work-Related Musculoskeletal Disorders and Associated Factors Among Bankers in Ethiopia, 2018 by Alemu Kasaw Kibret, Berihu Fisseha Gebremeskel, Kebede Embaye Gezae, Gebrerufael Solomon Tsegay

“…Data were entered, organized, and analyzed by SPSS version 23. A final logistic model was run to identify factors associated with WMSDs, and the magnitude and direction of association were decided based on the adjusted odds ratio (AOR) and its corresponding 95% confidence interval (95% CI). …”
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Association of anxiety status and anxiety duration with constipation in adult Americans: a cross-sectional study using data from the NHANES 2007–2010 by Xinran Li, Conghui Bian, Hui Dai, Xingrui Chen, Haihua Qian, Dan Zhang

“…Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using multivariable logistic regression models. The analysis accounted for potential confounding factors, including gender, age, race/ethnicity, education level, marital status, PIR, BMI, smoking status, drinking status, chronic diseases, and dietary intake. …”
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Trajectories of asthma symptom presenting as wheezing and their associations with family environmental factors among children in Australia: evidence from a national birth cohort st... by Peter D Sly, Md Jobayer Chisti, Abdullah Mamun, K M Shahunja

“…Group-based trajectory modelling was applied to identify asthma symptom trajectories and multivariable logistic regression models were used to assess the associations between these and environmental factors.Results Of 5107 children in the LSAC cohort, 3846 were included in our final analysis. …”
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Isolation and Identification of Staphylococcus aureus from Milk and Milk Products, Associated Factors for Contamination, and Their Antibiogram in Holeta, Central Ethiopia by Endrias Zewdu Gebremedhin, Addisu Bedashu Ararso, Bizunesh Mideksa Borana, Kebede Abdisa Kelbesa, Nega Desalegn Tadese, Lencho Megersa Marami, Edilu Jorga Sarba

“…Antibiogram was performed using 12 antimicrobials following the Kirby–Bauer disc diffusion method. Logistic regression analyses were used to assess the association between the occurrence of S. aureus in milk and milk products and potential risk factors. …”
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Minimally Invasive Parafascicular Surgery (MIPS) for Spontaneous Intracerebral Hemorrhage Compared to Medical Management: A Case Series Comparison for a Single Institution by Victoria L. Phillips, Anil K. Roy, Jonathan Ratcliff, Gustavo Pradilla

“…Cox proportional hazard models were used to estimate the time to inpatient death. Logistic regression analyses were used to determine treatment effects on secondary outcomes. …”
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Analysis of the efficacy of multidisciplinary integration based on 3D reconstruction technology for the treatment of gout stone by Shizhe Zhou, Zengxiao Zhang, Tian Liu, Yijun Xu, Yuehai Pan, Ying Chen

“…After adjusting for confounders, multifactorial logistic regression showed that the uric acid attainment rate of patients in the MDT surgery group was 4.011 times higher than that of the drug group (OR: 4.011, 95% CI: 1.595, 10.086, P = 0.003); the proportion of patients with an increase in SF-36 in the MDT surgery group was 4.976 times higher than that of the drug group (OR: 4.976, 95% CI: 2.243, 11.040, P < 0.001); the proportion of patients treated with high-dose medication in the MDT surgery group was 1.8% of that of patients in the drug group (OR: 0.018, 95% CI: 0.002, 0.148, P < 0.001); and the proportion of patients in the MDT surgery group who developed frequent gout was 2.8% of that in the drug group (OR: 0.028 95% CI: 0.003, 0.2398, P = 0.001). the proportion of patients in the MDT surgery group who developed abnormal liver function was 0.317 times higher than that in the drug group (OR: 0.317, 95% CI: 0.121, 0.831, P = 0.019). …”
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Help-seeking for depression among Vietnamese migrant workers in Japan and factors related to their intentions to seek help from a psychiatrist: a cross-sectional study by Yui Fukuda, Atsuko Taguchi, Akane Futami, Yusuke Umegaki, Pham Nguyen Quy, Toshihiko Nakajima, Akihito Uezato

“…Descriptive statistics were calculated, and multiple logistic regression analysis was conducted. Results A total of 803 eligible data points were collected. …”
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Caregiver acceptability of seasonal malaria chemoprevention in two districts in the Upper West region, Ghana: a cross-sectional study by Youssouf Diarra, Michael M. Opoku, Charles E. Amankwa, Raymond B. Annor, Justice Nonvignon, Harriet A. Bonful

“…Univariable and stepwise multivariable logistic regression analyses were performed to assess the predictors of acceptability of SMC at a 95% confidence interval and a p-value of 0.05. …”
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Elevated Plasma Soluble Triggering Receptor Expressed on Myeloid Cells-1 Level in Patients with Acute Coronary Syndrome (ACS): A Biomarker of Disease Severity and Outcome by Shachaf Shiber, Vitaly Kliminski, Katia Orvin, Iftach Sagy, Mordehay Vaturi, Ran Kornowski, Michael Drescher, Yair Molad

“…Median plasma sTREM-1 level at admission was significantly higher in the ACS group than the NSCP group and the control group (539.4±330.3 pg/ml vs. 432.5±196.4 pg/ml vs. 230.1±85.5 pg/ml, respectively; P<0.001) and positively correlated with the number of stenosed/occluded coronary arteries on angiography (P<0.001). On logistic regression analysis, higher sTREM-1 levels predicted definite ACS vs. …”
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Prevalence and factors associated with depression and anxiety among patients recovered from COVID-19: a cross-sectional study in a tertiary care hospital in Nepal by Biraj Man Karmacharya, Kamal Gautam, Kalpana Chaudhary, Prasanna Rai, Shalik Ram Dhital, Shrinkhala Shrestha, Bandana Paneru, Akina Shrestha

“…Anxiety and depression of the participants were assessed using the Hospital Anxiety and Depression Scale. Multivariate logistic regression analysis was performed to determine the factors associated with anxiety and depression.Results The prevalence of anxiety and depression were 38.66% (95% CI 32.99 to 44.65), and 30.48% (95% CI 25.24 to 36.28), respectively. …”
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Diagnostic efficacy and necessity of 18F-FDG PET/CT in fever of unknown origin: insights from a retrospective cohort study by Xiaoman Yu, Shuang Wang, Na Du, Hongguang Zhao, Haiying Chen

“…Additionally, univariate and multivariate logistic regression analyses were performed to evaluate the predictive value of relevant laboratory indices on the true-positive results of 18F-FDG PET/CT. …”
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Understanding Individual Differences in Happiness Sources and Implications for Health Technology Design: Exploratory Analysis of an Open Dataset by Edel Ennis, Raymond Bond, Maurice Mulvenna, Colm Sweeney

“…Demographic information is also provided. Binary logistic regression analyses are used to determine whether various groups differed in their likelihood of selecting or not selecting a category as a source of their happiness. …”
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The effect of blood glucose levels on serum triglyceride clearance in patients with hyperlipidemic acute pancreatitis by Yuxin Liu, Shuqi Qin, Si Dai, Jing Zhou, Zhendan Wang, Guojian Yin

“…The clinical data from 177 patients with MSAP & SAP and 195 patients with mild acute pancreatitis (MAP) on days 1–6 after the onset were collected and analyzed by multivariate logistic regression to identify the factors that have an impact on the severity of HLAP, especially TG. …”
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Hemoglobin-to-red blood cell distribution width ratio as a protective factor against coronary artery disease: a cross-sectional analysis of NHANES (2011-2018) by Xin-Da Wang, Chaoya Li, Jia Hu, Fen Cao, Li Zhu, Yongzhi Zhu, Zhongzheng Wen, Jun Liu

“…We controlled for factors such as hypertension, waist circumference, systolic blood pressure, fasting plasma glucose, and others in our logistic regression analysis to explore the relationship between HRR and CAD.ResultsWe found that higher HRR levels were associated with a lower risk of CAD. …”
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Herpes Simplex Virus Type 2 (HSV-2) and Cytomegalovirus (CMV) among Women with Macerated Stillbirth: A Cross-Sectional Hospital-Based Study from Mwanza, Tanzania by Helmut A. Nyawale, Elieza Chibwe, Fridolin Mujuni, Lidya Maiga, Albert Silvin, Alda Ester Chongo, Bertrand Msemwa, Vitus Silago, Mtebe Majigo, Doreen Kamori, Stephen E. Mshana, Mariam M. Mirambo

“…HCMV IgG antibodies were detected in 131 (77.98%, 95% CI: 71-84) of 168 women tested. By multivariate logistic regulation analysis, advanced age (OR: 0.93, 95% CI: 0.87-0.99, p=0.025) was significantly associated with negative HSV-2 IgG antibodies. …”
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Pre-diabetes and cardiovascular risk factors in NAFLD patients: a retrospective comparative analysis by Azam Teimouri, Zahra Ebrahimpour, Awat Feizi, Bijan Iraj, Elahe Saffari, Mojtaba Akbari, Mozhgan Karimifar

“…Multivariable age-, sex-, BMI- and smoking- adjusted logistic regression showed a predicting role of pre-diabetes and NAFLD concurrence with metabolic syndrome (P-value&lt;0.001, OR:4.31, 95% CI: 2.95- 6.29), but not CVD (P-value=0.353, OR:1.37, 95% CI: 0.71- 2.61).ConclusionIn this study, nearly one-third of NAFLD patients had pre-diabetes. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…Quantitative analysis was conducted using hierarchical logistic regression for meta-analysis on diagnostic accuracy. …”
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Obesity prevalence among healthcare professionals in England: a cross-sectional study using the Health Survey for England by Richard G Kyle, Jane Wills, Catherine Mahoney, Louise Hoyle, Muireann Kelly, Iain M Atherton

“…Objective To estimate obesity prevalence among healthcare professionals in England and compare prevalence with those working outside of the health services.Design Cross-sectional study based on data from 5 years (2008–2012) of the nationally representative Health Survey for England.Setting England.Participants 20 103 adults aged 17–65 years indicating they were economically active at the time of survey classified into four occupational groups: nurses (n=422), other healthcare professionals (n=412), unregistered care workers (n=736) and individuals employed in non-health-related occupations (n=18 533).Outcome measure Prevalence of obesity defined as body mass index ≥30.0 with 95% CIs and weighted to reflect the population.Results Obesity prevalence was high across all occupational groups including: among nurses (25.1%, 95% CI 20.9% to 29.4%); other healthcare professionals (14.4%, 95% CI 11.0% to 17.8%); non-health-related occupations (23.5%, 95% CI 22.9% to 24.1%); and unregistered care workers who had the highest prevalence of obesity (31.9%, 95% CI 28.4% to 35.3%). A logistic regression model adjusted for sociodemographic composition and survey year indicated that, compared with nurses, the odds of being obese were significantly lower for other healthcare professionals (adjusted OR (aOR) 0.52, 95% CI 0.37 to 0.75) and higher for unregistered care workers (aOR 1.46, 95% CI 1.11 to 1.93). …”
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