Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Sarah Bauermeister

PhD MSc BSc Hons BA Hons CPsychol

Senior Researcher and Data Manager

  • Psychometric Analyst for the European Prevention of Alzheimer's Disease (EPAD) study.
  • Senior Researcher and Data Manager for Dementias Platform UK (DPUK) & Real World Outcomes across the AD spectrum for better care (ROADMAP)

Analysis and Management of Large-Cohort Real-World Data for Dementia-Focused Research

Multi-Disciplinary Research & Data Management

I am a psychometric analyst for the European Prevention of Alzheimer's Disease (EPAD) study and data manager for Dementias Platform UK (DPUK) for the research group led by Professor John Gallacher, director of DPUK. My roles include conducting Item Response Theory (IRT) analyses on large cohort mental health scale data and utilising Structural Equation Modelling (SEM) to explore  relationships, both cross-sectional and longitudinal between mental health and other outcome variables such as cognition and health. As data manager for DPUK I also facilitate data access for the Real World Outcomes AD (ROADMAP) project. 

In the past I have investigated the effects of lifestyle activities, physical fitness and mental health on cognition in older age with specific interests in the effect of poor mental health on cognitive decline. My current research focuses on investigating the effect of mental health on cognition across the lifespan. I am also investigating the effects of childhood adversity on adult psychological, physiological, cognitive and dementia outcomes using cross-cohort DPUK data. 

In my previous position, as a research fellow at the University of Leeds I was project lead investigating the cognitive, postural and physiological predictors of falls and frailty in old age using a multiple methodological approach, advanced statistical procedures and structural equation modelling. This research involved participants in both the community and local NHS hospitals. I maintain an interest in understanding cognitive and physiological predictors of falls and frailty using UK Biobank and cross-cohort DPUK data.