Passive Outdoor Host Seeking Device (POHD): Designing and Evaluation against Outdoor Biting Malaria Vectors by Stella T. Kessy, Ladslaus L. Mnyone, Bruno A. Nyundo, Issa N. Lyimo

“…However, the odor-baited devices developed so far are bulky, dependent on the source of electricity and carbon dioxide (CO2), and they are logistically unsuitable for scaling up in surveillance and control of malaria vectors. …”
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Comparing the Prognostic Value of Lactate to the Neutrophil to Lymphocyte Ratio Among Sepsis Patients: A Prospective Cohort Study by Bou Chebl R, Haidar S, Kattouf N, Assaf M, Alwan JS, Khamis MM, Abdeldaem K, Makki M, Tamim H, Abou Dagher G

“…Secondary outcomes compared their prognostic value in different septic subgroups.Results: Stepwise logistic regression showed NLR was not associated with in-hospital mortality (OR=1.003, p=0.544), while lactate was significantly associated with in-hospital mortality (OR=1.188, p< 0.0001). …”
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Discrete time measures versus trajectories of drinking frequency across adolescence as predictors of binge drinking in young adulthood: a longitudinal investigation by Marie-Pierre Sylvestre, Robert J Wellman, Marilyn N Ahun, Geetanjali Datta, Didier Jutras-Aswad, Jennifer O Loughlin

“…Sustained binge drinking was defined as binging monthly or more often at both ages 20 and 24.Analyses Using logistic regression, sustained binge drinking was regressed on trajectory group membership and on four discrete time measures (frequency of drinking at age 12; frequency of drinking at age 17; age at drinking onset; age at onset of drinking monthly or more often).Results We identified seven drinking trajectories: late triers (15.2%), decreasers (9.5%), late escalators (10.4%), early slow escalators (16.5%), steady drinkers (14.4%), early rapid escalators (15.8%) and early frequent drinkers (18.2%). …”
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Association between atherogenic index of plasma and future risk of cardiovascular disease in individuals with cardiovascular-kidney-metabolic syndrome stages 0–3: a nationwide pros... by Gaoshu Zheng, Jijie Jin, Fei Wang, Qianrong Zheng, Jiaxin Shao, Jiangnan Yao, Pan Huang, Hao Zhou, Jianghua Zhou

“…AIP control level was classified using k-mean cluster analysis. Logistic regression was used to analyse the effect of cumulative AIP (cumAIP) on the incidence of CVD. …”
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Association of reported sleep disturbances with objectively assessed mild cognitive impairment among adults in the United States by Chan Shen, Hao Wang, Arthur Nguimatsa Djiotsop, R. Constance Wiener, Mona Pathak, Sophie Mitra, Patricia A Findley, Usha Sambamoorthi

“…Methods: Longitudinal data from the Health and Retirement Study were analyzed to explore the association between mild cognitive impairment and three types of sleep disturbances: trouble falling asleep, trouble waking up, and waking up too early. Logistic regression models estimated unadjusted (Model 1) and adjusted associations accounting for sex, race/ethnicity, age, social determinants of health (Model 2), general health (Model 3), depression (Model 4), and pain and physical activity (Model 5). …”
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Predictive value of the New Zealand Early Warning Score for early mortality in low-acuity patients discharged at scene by paramedics: an observational study by Bridget Dicker, Verity Frances Todd, Tony Smith, Andy Swain, Graham Howie, Melanie Moylan, Aroha Brett

“…Of these, 41 406 had sufficient recorded data to calculate an NZEWS.Primary and secondary outcome(s) and measure(s) Binary logistic regression modelling was used to investigate the association between the NZEWS and adverse outcomes of reattendance within 48 hours, mortality within 2 days, mortality within 7 days and mortality within 30 days.Results An NZEWS greater than 0 was significantly associated with all adverse outcomes studied (p&lt;0.01), compared with the reference group (NZEWS=0). …”
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Predicting Poor Outcome of COVID-19 Patients on the Day of Admission with the COVID-19 Score by Luke Tseng, Erin Hittesdorf, Mitchell F. Berman, Desmond A. Jordan, Nina Yoh, Katerina Elisman, Katherine A. Eiseman, Yuqi Miao, Shuang Wang, Gebhard Wagener

“…Tests that were statistically or clinically significant were then included in a multivariate binary logistic regression model using stepwise exclusion. 70% of all patients were used to train the model, and 30% were used as an internal validation cohort. …”
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Barriers and facilitators to global access to life-saving skills training: an international cross-sectional survey by Marcus Eng Hock Ong, Freddy Lippert, Lin Zhang, Willem Stassen, So Yeon Joyce Kong, Audrey L Blewer, Yeh Lai Chern, Andrew Fu Wah Ho

“…Data were analysed descriptively and visualised according to countries and regions. Logistic regression was used to identify variables predictive of LST.Results A total of 302 responses from 67 countries were analysed. …”
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Serum Ferritin Levels in Pregnancy and Their Association with Gestational Diabetes Mellitus: A Prospective Longitudinal Study by Qin Z, Du Y, Wang Z, Qin X, Wu H, Yu X, Zhao C, Mo L, Huang B

“…We used Spearman’s rank correlation to estimate the association between SF, OS, inflammation and glucose levels. Logistic regression analysis was performed to estimate the OR of GDM associated with SF. …”
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Impact of Prior Chronic Kidney Disease and Newly Detected eGFR Impairment at Admission on Outcomes and Prognosis of Hospitalized COVID-19 Patients &ndash; A Single-Center Cohort St... by Kania M, Terlecki M, Batko K, Rajzer M, Malecki MT, Krzanowski M

“…Groups A and B were older and had higher cardiometabolic burden compared to group C. Multivariable logistic regression showed that older age, higher CRP, WBC, D-dimer levels, HF, and being in groups A or B were associated with higher in-hospital mortality. …”
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Socioeconomic disparities in child malnutrition: trends, determinants, and policy implications from the Kenya demographic and health survey (2014 - 2022) by Amos O. Okutse, Henry Athiany

“…The determinants of malnutrition are analyzed using multivariate logistic regression. Trends in socioeconomic inequality are analyzed using concentration indices and visualized using concentration curves. …”
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Interplay of NF-κB and PPAR-γ transcription factors in patients with juvenile systemic lupus erythematosus by Ozgur Kasapcopur, Sezgin Sahin, Amra Adrovic, Kenan Barut, Sinem Durmus, Remise Gelisgen, Hafize Uzun

“…Specifically, NF-κB levels were significantly higher in patients with jSLE with cumulative damage (PedSDI≥1) compared with those without, at p=0.044. Logistic regression showed that PPAR-γ levels lower than 2.42 ng/mL were associated with the development of jSLE (OR 7.59) and lower than 2.16 ng/mL for jSSc (OR 10.90). …”
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Faktor Risiko yang Berpengaruh terhadap Kejadian Berat Badan Lahir Rendah di RSUP Dr. M. Djamil Padang by Sagung Adi Sresti Mahayana, Eva Chundrayetti, Yulistini

“…Chi-square test showed anemia<br />(p=0.001) and placental abnormalities (p=0.049) were statistically significant in LBW with premature and dysmature.<br />Logistic regression test indicates anemia (p=0.001) and parity (p=0.022) are statistically influence LBW. …”
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Prevalence and predictors of sub-optimal laboratory monitoring of selected higher risk medicines in Irish general practice: a 5-year retrospective cohort study of community-dwellin... by Fiona Boland, Emma Wallace, Frank Moriarty, Tom Fahey, Caroline McCarthy, Ann Sinéad Doherty, Mark Feighery

“…Poisson regression was used to assess the patient characteristics associated with sub-optimal monitoring and explanatory variables included the number of medicines, age, sex, deprivation and anxiety/depression symptoms. Logistic regression was used to explore the association between baseline sub-optimal monitoring and the odds of adverse health outcomes (unplanned healthcare utilisation, adverse drug reactions and mortality).Results Of 625 participants, the mean age was 77.7 years, 53% were female, the mean number of drugs was 7.3 (SD 3.3) and 499 (79.8%) had ≥1 unmonitored dispensing over 5 years. …”
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Age-stratified analysis of the BMI-kidney stone relationship: findings from a national cross-sectional study by Liuliu Zhou, Wei Gu, Yufeng Jiang, Haimin Zhang

“…BMI was categorized as normal weight (&lt;25.0 kg/m2), overweight (25.0–29.9 kg/m2), and obesity (≥30.0 kg/m2). Weighted logistic regression models were employed to adjust for multiple confounders, including sex, age, race/ethnicity, education level, smoking history, alcohol consumption, coronary heart disease, diabetes mellitus, hypertension, and physical activity. …”
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Relationship between social capital and medication adherence among frail and pre-frail older people: a cross-sectional study from China by Zixuan Hong, Ying Guo, Wenwen Cao, Chenglin Cao, Zhi Hu, Jing Yan, Ren Chen, Zhongliang Bai

“…This study employed descriptive analysis and binary logistic regression to fit their relationship. Results Among the pre-frail respondents, those with lower social participation (AOR 0.55 [95% CI 0.44–0.69]) had less risk of inadequate medication adherence; while lower social connection (AOR 1.91 [95% CI 1.54–2.36]), lower trust (AOR 2.80 [95% CI 2.25–3.47]), lower cohesion (AOR 2.04 [95% CI 1.65–2.53]), and lower reciprocity (AOR 2.32 [95% CI 1.87–2.88]) were all related to higher odds of inadequate medication adherence. …”
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Factors associated with knowledge and attitude towards adult cardiopulmonary resuscitation among healthcare professionals at the University of Gondar Comprehensive Specialized Hosp... by Abraham Tarekegn Mersha, Amare Haile Kiros Gebre Egzi, Hailu Yimer Tawuye, Nigussie Simeneh Endalew

“…Both bivariable and multivariable logistic regression analyses were used to identify factors associated with knowledge and attitude level of health professionals towards CPR. …”
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Mutual mediation effects of homocysteine and PCSK9 on coronary lesion severity in patients with acute coronary syndrome: interplay with inflammatory and lipid markers by Ping Jin, Juan Ma, Peng Wu, Yitong Bian, Xueping Ma, Shaobin Jia, Qiangsun Zheng

“…To evaluate both the impacts of Hcy and PCSK9 on coronary lesions severity, multivariate logistic regression along with mediation analyses were utilized. …”
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Timing of risk factors, prodromal features, and comorbidities of dementia from a large health claims case–control study by Stefan Teipel, Manas Akmatov, Bernhard Michalowsky, Steffi Riedel-Heller, Jens Bohlken, Jakob Holstiege

“…We calculated the prevalence of risk factors in cases and controls and odds ratios for each year before the index date, along with Bonferroni-corrected confidence intervals, using conditional logistic regression. Results We identified a total of 1,686,759 patients with incident dementia (mean (SD) age, 82.15 (6.90) years; 61.70% female) and 3,373,518 matched controls (mean (SD) age, 82.15 (6.90) years; 61.70% female). …”
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Prevalence of Diabetes and Cardiovascular Comorbidity in the Canadian Community Health Survey 20022003 by Frank Mo, Lisa M. Pogany, Felix C.K. Li, Howard Morrison

“…Descriptive statistics were used initially to estimate the prevalence of related comorbidities by age and gender. Logistic regression was then employed to determine the potential strength of association between various effects. …”
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