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    A nomogram to predict sarcopenia in middle-aged and older women: a nationally representative survey in China by Jiayi Yang, Zihao Chen, Xinxin Dai, Liyao Jiang, Liyan Dai, Yu Zhao

    Published 2025-02-01
    “…Additionally, the predictive value of these risk factors was assessed by applying receiver operating characteristic (ROC) curve analysis. Subsequently, a visual nomogram prediction model was developed by incorporating the identified risk factors into R4.1.2 software.ResultsAge, area, education, marriage, waist circumference, stroke, body pain, depression, and region may be closely related to Chinese women with sarcopenia. …”
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  15. 3555

    Exploring inequality through the lens of adolescents: a photovoice study in Bissau, Guinea-Bissau by Geir Gunnlaugsson, Jónína Einarsdóttir, Zeca Jandi, Fatou N′dure Baboudóttir, William Gomes Ferreira

    Published 2025-07-01
    “…Adolescents highlighted inadequate access to healthcare and sanitation facilities, environmental degradation, disparities between public and private schools and economic hardship limiting access to education and work. Their narratives revealed frustration over systemic barriers, yet demonstrated awareness and creativity in navigating challenges.Conclusions Adolescents’ visual narratives provide insights into their experiences of inequality, highlighting the value of participatory methods in amplifying youth voices. …”
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    Normative Data for the D-KEFS Color-Word Interference and Trail Making Tests Adapted in Greek Adult Population 20–49 Years Old by Marianna Tsatali, Fotini Surdu, Andromachi Konstantinou, Despina Moraitou

    Published 2024-10-01
    “…Results: The findings showed that age was the only variable which affected CWIT, whereas level of education as well as age were predictive factors for most TMT conditions, except for the visual scanning test (Condition 1). …”
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