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Predictors of depression among Chinese college students: a machine learning approach
Published 2025-02-01“…Methods A cross-sectional study was conducted with 10,043 undergraduate students from Guizhou Normal University. …”
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Exploring the role of spiritual leadership among nurse colleagues: an associative analysis of its impact on passion and altruism
Published 2025-02-01“…Subjects & method A multicenter descriptive, cross-sectional research study was conducted at six Nursing Egyptian faculties affiliated with Alexandria, Port-Said, Fayoum, Damanhur, Assiut, and Sohag Universities, with 391 nurse colleagues. …”
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Tear metabolomics reveals novel potential biomarkers in epithelial herpes simplex keratitis
Published 2025-01-01“…Methods We conducted a cross-sectional study enrolling 33 participants. …”
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Investigating the impact of microbiome-changing interventions on food decision-making: MIFOOD study protocol
Published 2025-01-01“…Previous research indicates that the gut microbiome plays an important role in metabolic, hormonal, and neuronal cross-talk underlying eating behavior. We therefore aim to examine the effects of prebiotic and neurocognitive behavioral interventions on food decision-making and to assay the underlying mechanisms in a Randomized Controlled Trial (RCT). …”
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Depression symptom severity and behavioral impairment in school-going adolescents in Uganda
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From information to action: modelling social and cognitive factors in health decisions
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Strategies for strengthening cervical cancer screening programmes in Gwanda district, Zimbabwe: a qualitative study
Published 2025-01-01“…Conclusions To exploit on women’s willingness to be screened, delivery of screening services need to be re-engineered through development of strategies for increased and sustained educational programmes and increase of screening facilities. …”
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Self-medication pattern among medical students in Middle Delta, Egypt
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Exploring factors of physicians’ preferences for continuing medical education
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Constructing a fall risk prediction model for hospitalized patients using machine learning
Published 2025-01-01“…Abstract Study objectives This study aimed to identify the risk factors associated with falls in hospitalized patients, develop a predictive risk model using machine learning algorithms, and evaluate the validity of the model’s predictions. Study design A cross-sectional design was employed using data from the DRYAD public database. …”
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Screen time among kindergarten children in the Australian Capital Territory (including a comparison of First Nations and non-Indigenous children)
Published 2025-02-01“…We aimed to describe the screen time behaviours of First Nations and non-Indigenous kindergarten children in the Australian Capital Territory (ACT) and identify any associated disparities in key health outcomes. Methods 5,516 children participated in the cross-sectional population-based ACT Kindergarten Health Check (KHC) survey, including 146 First Nations children. …”
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