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    Can social adversity and mental, physical and oral multimorbidity form a syndemic? A concept and protocol paper by Easter Joury, Easter Joury, Eliana Nakhleh, Ed Beveridge, Derek Tracy, Derek Tracy, Derek Tracy, Derek Tracy, Ellie Heidari, Ellie Heidari, David Shiers, David Shiers, David Shiers, Silke Vereeken, Emily Peckham, Simon Gilbody, Simon Gilbody, Jayati Das-Munshi, Farida Fortune, Farida Fortune, Vishal R. Aggarwal, Masuma Mishu, Masuma Mishu, Joseph Firth, Joseph Firth, Kamaldeep Bhui, Kamaldeep Bhui, Kamaldeep Bhui, Kamaldeep Bhui

    Published 2025-01-01
    “…Thus, the present project aimed to (i) test for syndemic interactions between social adversity (socioeconomic adversity and traumatic events) and mental, physical and oral multimorbidity using the syndemic theoretical framework; and (ii) determine whether the syndemic relationships vary by age, sex and ethnicity.MethodsData from three large-scale population-based databases: UK BioBank, US National Health and Nutrition Examination Survey (NHANES) and the Research with East London Adolescents Community Health Survey (RELACHS) will be analysed. …”
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    Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data by Johnny Downs, Robert Stewart, Alice Wickersham, Sumithra Velupillai, Lucile Ter-Minassian, Natalia Viani, Lauren Cross

    Published 2022-12-01
    “…Using a unique linked health and education data resource, we examined how machine learning (ML) approaches can predict risk of ADHD.Design Retrospective population cohort study.Setting South London (2007–2013).Participants n=56 258 pupils with linked education and health data.Primary outcome measures Using area under the curve (AUC), we compared the predictive accuracy of four ML models and one neural network for ADHD diagnosis. …”
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