Professor Sinead Brophy
Professor (CIPHER)
Swansea University Medical School
Telephone: (01792) 602058
Room: Cellular Office
Second
Data Science Building
Singleton Campus

Publications

  1. & School achievement as a predictor of depression and self-harm in adolescence- a linked education and health record study. British Journal of Psychiatry
  2. & Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank. PLOS ONE 11(9), e0162388
  3. & Educational Attainment at Age 10–11 Years Predicts Health Risk Behaviors and Injury Risk During Adolescence. Journal of Adolescent Health
  4. & Development of an algorithm for determining smoking status and behaviour over the life course from UK electronic primary care records. BMC Medical Informatics and Decision Making 17(1)
  5. & Risk of Adverse Outcomes for Older People with Dementia Prescribed Antipsychotic Medication: A Population Based e-Cohort Study. Neurology and Therapy 6(1), 57-77.

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Teaching

  • PM-304 Biomolecular Research Project

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Supervision

  • The A-CLASS-Girls Project«br /»«br /» Active Children Learn Achieve and Stay Sporty«br /»«br /» (current)

    Student name:
    PhD
    Other supervisor: Prof Gareth Stratton
  • The transitioning needs of students with autism pre-admission and throughout their studies (current)

    Student name:
    PhD
    Other supervisor: Dr Claire Vogan Mccabe
  • HAPPEN: Health and Attainment of Pupils involved in a Primary Education Network (current)

    Student name:
    PhD
    Other supervisor: Prof Ronan Lyons
  • Active Children Through Individual Vouchers – Evaluation (ACTIVE): a mixed method randomised control trial to improve the health and socialisation of teenagers. (current)

    Student name:
    PhD
    Other supervisor: Prof Damon Berridge
  • A real time pharmacoepidemiological surveillence system for children with asthma: A data-driven approach using two European medico-administrative databases (current)

    Student name:
    PhD
    Other supervisor: Dr Shang-Ming Zhou
  • 'Population based ankylosing spondylitis electronic cohort' (awarded 2017)

    Student name:
    PhD