Impact of gender on the willingness to participate in clinical trials and undergo related procedures in individuals from an Alzheimer’s prevention research cohort by Lidia Canals-Gispert, Alba Cañas-Martínez, Gema Huesa, Marc Suárez-Calvet Alomà, Marta Milà-Alomà, Eider Arenaza-Urquijo, Davide Cirillo, Annemarie Schumacher Dimech, Maria Florencia Iulita, Julie Novakova Martinkova, Maria Carmela Tartaglia, Frances-Catherine Quevenco, Antonella Santuccione Chadha, Gonzalo Sánchez-Benavides, Carolina Minguillón, Maria Teresa Ferretti, Karine Fauria, Anna Brugulat-Serrat, for the ALFA Study

“…Sociodemographic data on education, occupational attainment, civil and caregiver status were gathered. Stepwise logistic regression models were performed in order to study the interaction between gender and sociodemographic factors in the willingness to participate in clinical trials and to undergo clinical trial-related procedures. …”
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Nutritional status of schoolchildren living on a city in Brazilian Western Amazon: a cross-sectional study by Stephaney Aragão Soares, Amanda Forster Lopes, Regina Coeli da Silva Vieira, André Bento Chaves Santana, Kemilla Sarmento Rebelo

“…Conclusion: Higher birth weight, gestational age at birth, maternal BMI and family income were the main factors associated with higher BMI among students. …”
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Fatigue Assessment: Study Based on Physical Activity and Muscular Strength at Sedentary Workers by Shintia Yunita Arini, Dominikus Raditya Atmaka, Khadizah Abdul-Mumin, Bian Shabri Putri Irwanto, Asri Meidyah Agustin

“…The high rate of occupational fatigue that can contribute to work accidents is very interesting to be studied further related to the causal factors, including physical activity and muscular strength. …”
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Influence of odontogenic lesions on root development in impacted teeth: a cohort study by Selene Barone, Alessandro Antonelli, Antonio Madonna, Vincenzo Greco, Massimo Borelli, Francesco Bennardo, Amerigo Giudice, Lucia Cevidanes

“…Fisher's exact text was applied to compare the prevalence of dilaceration in both groups. In order to analyze the influence of each additional variable on dilaceration, a multivariate analysis was performed through logistic regression.ResultsRoot dilaceration was significantly more common in Group IwL (72.73%) than in Group IwoL (18.18%) (p = 0.030). …”
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Enrollment Motivations, Career Perceptions, and Preferences of Pharmacy Students under a Changing Educational Landscape: An Exploratory Survey at a Single Institution in South Kore... by Youran Noh, Kyung-Bok Son

“…Descriptive statistics and logistic regression were used to analyze differences in enrollment motivations and career preferences. …”
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Impact of the COVID-19 pandemic on poisoning induced out of hospital cardiac arrest in South Korea retrospective observational study by Young Taeck Oh, Chiwon Ahn, Yeonkyung Park, Jae Hwan Kim

“…Abstract Poisoning-induced out-of-hospital cardiac arrest has characteristics distinct from cardiogenic out-of-hospital cardiac arrest, with external factors such as patient intent and environmental influences playing crucial roles. …”
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Sustainable development of mortgage lending: economic challenges and prospects by J.S. Mukhamedov, T.S. Sokira, Z. Kuldasheva

“…A detailed analysis of mortgage trends from 2007 to 2023 reveals important patterns and correlations between macroeconomic factors and mortgage loan dynamics in both countries. …”
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Spatial Effects in the Context of Kazakhstan’s Regions by A. R. Kerimbayev, Y. B. Bukatov, A. Kudebayeva, L. S. Spankulova

“…The problem of spatial inequality in the regions of Kazakhstan has been relevant for many years and in recent years this problem has worsened due to socio-economic changes in the areas, the consequences of the COVID-19 pandemic, the negative impact of inflationary processes, increased internal migration and other factors. The purpose of this study is to analyze spatial inequality between 16 regions of Kazakhstan covering the period from 2001 to 2017. …”
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COVID-19 vaccine coverage among adults in Sarlahi District of Nepal in 2022. by Porcia Manandhar, Joanne Katz, Tsering Pema Lama, Subarna K Khatry, William J Moss, Daniel J Erchick

“…Descriptive analyses included a summary of vaccination coverage, vaccine card availability, drop-out rate, and vaccine manufacturer. Multivariable regression modeling was used to analyze factors associated with completing the primary vaccination series. …”
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Higher red cell distribution width (RDW) is associated with increased all-cause and cardiovascular mortality in patients with breast cancer: A retrospective analysis of NHANES data... by Xuan Liu, Hao Wu, Saiqian Zhang, Zhu Zhu, Chao Liu, Jinmin Cao

“…<h4>Methods</h4>A retrospective cohort study was performed using data from 15,806 participants in the NHANES dataset. Multivariable Cox regression models were used to analyze demographic, socioeconomic, clinical, and laboratory factors, with adjustments for potential confounders. …”
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Association of Hematological and Biochemical Parameters with Clinical Profile of COVID-19 Patients in Visakhapatnam, India by Himavathy Kodandarao Gara, Dharma Rao Vanamali, Adhikarla Surya Veeramani Kartheek

“…Timely management of patients with dismal prognosis may improve their clinical outcome. The study aimed to analyze the hematological and biochemical parameters among COVID-19 patients and the factors associated with laboratory changes and COVID-19 infection. …”
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Study of model construction of fuel production from waste plastic pyrolysis based on machine learning by CHEN Sihan, YUAN Zhilong, WANG Ye, SUN Yifei*

“…A machine-learning approach was applied to utilize data from non-catalytic and molecular sieve catalytic processes and to build a model for analyzing raw material pyrolysis. The Gradient Boosting Regression (GBR) algorithm has the best fitting performance for predicting oil yield (R^2=0.91, RMSE=7.78), while the adaptive boosting algorithm (AdaBoost) has the best fitting performance for predicting gas yield (R^2=0.83, RMSE=6.42), enabling accurate prediction of reaction conditions. …”
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Disparities in delivery of ophthalmic care; An exploration of public Medicare data. by Cecilia S Lee, Grace L Su, Douglas M Baughman, Yue Wu, Aaron Y Lee

“…<h4>Conclusions</h4>A large discrepancy exists in cataract delivery to the Medicare population based on geographic factors. Patients who live in rural areas travel farther on average to see ophthalmologists, resulting in a lower observed than expected rate of cataract surgery. …”
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Spatial analysis of hypertension’s awareness, treatment and control in India: evidence from national family health survey 2019-21 by Priti, Rahul Kumar, Kunal Keshri, Ankit Gupta

“…The binary Logistic regression statistical method is employed to analyze the data, and the geospatial method—spatial autocorrelation has been used to explore the spatial relationship between variables of hypertension and spatial units. …”
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Diet quality of Chilean schoolchildren: How is it linked to adherence to dietary guidelines? by Anna Christina Pinheiro Fernandes, Jacqueline Araneda Flores, Daiana Quintiliano Scarpelli Dourado, Tito Pizarro Quevedo, Maria Rita Marques de Oliveira

“…Associations between dependent and independent variables, and potential confounding factors were calculated using logistic regression models with stepwise backward/forward. …”
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Growth-mortality relationships in piñon pine (Pinus edulis) during severe droughts of the past century: shifting processes in space and time. by Alison K Macalady, Harald Bugmann

“…We draw on recent sampling and archived collections to (1) analyze P. edulis growth patterns and mortality during the 1950s and 2000s droughts; (2) determine the influence of climate and competition on growth in trees that died and survived; and (3) derive regression models of growth-mortality risk and evaluate their performance across space and time. …”
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Investigating the Relationship Between Anxiety and Depression With Disease-related Lifestyle in Elderly Patients With Prostate Cancer by Reyhane Karegar-Niavol, Zahra Fotokian, Fatemeh Ghaffari, Ali Saravi, Farzan Kheirkhah

“…The statistical tests of analysis of variance, independent t-test, Pearson correlation coefficient, and multiple regression were used to analyze data in SPSS software, version 18 software. …”
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Association between school bullying type and the risk of eating disorders among Chinese college students: the mediating role of body dissatisfaction by Linlin Xie, Qingchen Da, Yichao Chen, Yueliang Chen, Feng Wu, Liping Li

“…Kruskal-Wallis rank sum test, logistic regression, chi-square test, and mediation analysis were used to analyze the results. …”
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Antioxidant and cytotoxic activities of curly dock (Rumex crispus L., Polygonaceae) fruit extract by Ćebović Tatjana, Jakovljević Dunja, Maksimović Zoran, Đorđević Snežana, Jakovljević Sanja, Četojević-Simin Dragana

“…The study aim was to analyze occurrence, outcomes and risk factors of different types of congenital anomalies. …”
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Climate Variability and Farmers’ Perception in Southern Ethiopia by Befikadu Esayas, Belay Simane, Ermias Teferi, Victor Ongoma, Nigussie Tefera

“…The study applied a nonparametric Sen’s slope estimator and Mann–Kendall’s trend tests to detect the magnitude and statistical significance of climate variability and binary logit regression model to find factors influencing farm households’ perceptions about climate variability over three agroecological zones (AEZs). …”
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