title: The CAIDE Dementia Risk Score App: The development of an evidence-based mobile application to predict the risk of dementia.
abstract: BACKGROUND
  The CAIDE (Cardiovascular Risk Factors, Aging, and Incidence of Dementia) Dementia Risk Score is a validated tool to predict late-life dementia risk (20 years later), based on midlife vascular risk factors. The goal was to render this prediction tool widely accessible.
  
  
  METHODS
  The CAIDE Risk Score (mobile application) App was developed based on the CAIDE Dementia Risk Score, involving information on age, educational level, hypertension, hypercholesterolemia, obesity, and physical inactivity.
  
  
  RESULTS
  The CAIDE Risk Score App is an evidence-based practical tool, which allows users to detect their individual risk, provides guidance for risk modification, and suggests consulting a health care practitioner if needed. Moreover, it allows practitioners to discuss preventive measures and monitor risk reduction.
  
  
  CONCLUSIONS
  The CAIDE Risk Score App is the first to predict the risk for dementia through an important evidence-based tool. The App can encourage users to actively decrease their modifiable risk factors and postpone cognitive impairment and dementia.
authors.affiliation: Aging Research Center (ARC), Department of Neurobiology, Care sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden; Karolinska Institutet Center for Alzheimer Research, Department of Neurobiology, Care sciences and Society (NVS), Stockholm, Sweden.
authors.forename: Shireen
authors.initials: S
authors.lastname: Sindi
authors.affiliation: Merz Pharmaceuticals GmbH, Frankfurt am Main, Germany.
authors.forename: Elisabeth
authors.initials: E
authors.lastname: Calov
authors.affiliation: Merz Pharmaceuticals GmbH, Frankfurt am Main, Germany.
authors.forename: Jasmine
authors.initials: J
authors.lastname: Fokkens
authors.affiliation: Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland.
authors.forename: Tiia
authors.initials: T
authors.lastname: Ngandu
authors.affiliation: Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland; Neurocenter, Department of Neurology, Kuopio University Hospital, Kuopio, Finland.
authors.forename: Hilkka
authors.initials: H
authors.lastname: Soininen
authors.affiliation: Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland; Centre for Vascular Prevention, Department for Clinical Neurosciences and Preventive Medicine, Danube-University Krems, Krems, Austria; Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia.
authors.forename: Jaakko
authors.initials: J
authors.lastname: Tuomilehto
authors.affiliation: Aging Research Center (ARC), Department of Neurobiology, Care sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden; Karolinska Institutet Center for Alzheimer Research, Department of Neurobiology, Care sciences and Society (NVS), Stockholm, Sweden; Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland; Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
authors.forename: Miia
authors.initials: M
authors.lastname: Kivipelto
keywords: Dementia prediction; Dementia prevention; Dementia risk score; Mobile applications; Mobile health; Vascular risk factors