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    Evaluation of the effects of thyroid functions on frailty in geriatric patients using the Edmonton, SOF and FRAIL Scales by Galip Can Uyar, Mustafa Kemal Kılıç

    Published 2024-12-01
    “…Conclusion This study highlights the significant impact of thyroid dysfunction on frailty in older adults. Lower fT3 levels and the fT3/fT4 ratio emerged as key indicators of increased frailty, particularly on the SOF and EFS scales. …”
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    Impaired pulmonary function increases the risk of gout: evidence from a large cohort study in the UK Biobank by Zijian Kang, Jianzheng Zhang, Chen Zhu, Ying Zhu, Hanlei Jiang, Qiang Tong, Sheng-Ming Dai

    Published 2024-12-01
    “…Abstract Background Pulmonary function is increasingly recognized as a key factor in metabolic diseases. However, its link to gout risk remains unclear. …”
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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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    Comparative transcriptomic rhythms in the mouse and human prefrontal cortex by Jennifer N. Burns, Jennifer N. Burns, Aaron K. Jenkins, Xiangning Xue, Kaitlyn A. Petersen, Kaitlyn A. Petersen, Kyle D. Ketchesin, Kyle D. Ketchesin, Megan S. Perez, Megan S. Perez, Chelsea A. Vadnie, Madeline R. Scott, Madeline R. Scott, Marianne L. Seney, Marianne L. Seney, George C. Tseng, Colleen A. McClung, Colleen A. McClung

    Published 2025-01-01
    “…However, investigation into the potential circadian mechanisms underlying these diseases in animal models must contend with the fact that the human PFC is highly evolved and specialized relative to that of rodents.MethodsHere, we use RNA sequencing to lay the groundwork for translational studies of molecular rhythms through a sex-specific, cross species comparison of transcriptomic rhythms between the mouse medial PFC (mPFC) and two subregions of the human PFC, the anterior cingulate cortex (ACC) and the dorsolateral PFC (DLPFC).ResultsWe find that while circadian rhythm signaling is conserved across species and subregions, there is a phase shift in the expression of core clock genes between the mouse mPFC and human PFC subregions that differs by sex. …”
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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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    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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