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Development of the CogDrisk tool to assess risk factors for dementia
Author(s) -
Anstey Kaarin J.,
Kootar Scherazad,
Huque Md Hamidul,
Eramudugolla Ranmalee,
Peters Ruth
Publication year - 2022
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1002/dad2.12336
Subject(s) - dementia , depression (economics) , medicine , atrial fibrillation , vascular dementia , disease , risk assessment , diabetes mellitus , computer security , computer science , economics , macroeconomics , endocrinology
We aimed to develop a comprehensive risk assessment tool for Alzheimer's disease (AD), vascular dementia (VaD), and any dementia, that will be applicable in high and low resource settings. Method Risk factors which can easily be assessed in most settings, and their effect sizes, were identified from an umbrella review, or estimated using meta‐analysis where new data were available. Results Seventeen risk/protective factors met criteria for the algorithm to estimate risk for any dementia including age, sex, education, hypertension, midlife obesity, midlife high cholesterol, diabetes, insufficient physical activity, depression, traumatic brain injury, atrial fibrillation, smoking, social engagement, cognitive engagement, fish consumption (diet), stroke, and insomnia. A version for AD excluded atrial fibrillation and insomnia due to insufficient evidence and included pesticide exposure. There was insufficient evidence for a VaD risk score. Discussion Validation of the tool on external datasets is planned. The assessment tool will assist with implementing risk reduction guidelines.

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