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    Predictors of depression among Chinese college students: a machine learning approach by Lin Luo, Junfeng Yuan, Chenghan Wu, Yanling Wang, Rui Zhu, Huilin Xu, Luqin Zhang, Zhongge Zhang

    Published 2025-02-01
    “…Methods A cross-sectional study was conducted with 10,043 undergraduate students from Guizhou Normal University. …”
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  3. 63

    Exploring the role of spiritual leadership among nurse colleagues: an associative analysis of its impact on passion and altruism by Huda Gaber Hamzaa, Mohamed Hussein Ramadan Atta, Heba Mostafa Ali Taha, Mervat Amin Sayed, Asmaa Kamal Ahmed, Ahmed Abdellah Othman, Nadia Mohamed Ibrahim Wahba

    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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  4. 64

    Tear metabolomics reveals novel potential biomarkers in epithelial herpes simplex keratitis by Jinyu Zhang, Zhenning Wu, Yangqi Zhang, Kaili Wu, Xiaoyi Li, Shiyou Zhou

    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 by Meghedi Vartanian, Konrad Jakob Endres, Yee Teng Lee, Silke Friedrich, Marie-Theres Meemken, Imke Schamarek, Kerstin Rohde-Zimmermann, Robin Schürfeld, Lina Eisenberg, Anja Hilbert, Frauke Beyer, Michael Stumvoll, Julia Sacher, Arno Villringer, Julia F. Christensen, A. Veronica Witte

    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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    Strategies for strengthening cervical cancer screening programmes in Gwanda district, Zimbabwe: a qualitative study by Fennie Mantula, Yoesrie Toefy, Vikash Sewram

    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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    Constructing a fall risk prediction model for hospitalized patients using machine learning by Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu

    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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  20. 80

    Screen time among kindergarten children in the Australian Capital Territory (including a comparison of First Nations and non-Indigenous children) by Kathleen O’Brien, Clair Bannerman, Karen Ciszek, Kirsty A Douglas

    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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