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  5. The CAIDE Dementia Risk Score App: The development of an evidence‐based mobile application to predict the risk of dementia

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Article
English
2015

The CAIDE Dementia Risk Score App: The development of an evidence‐based mobile application to predict the risk of dementia

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English
2015
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
Vol 1 (3)
DOI: 10.1016/j.dadm.2015.06.005

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Jaakko Tuomilehto
Jaakko Tuomilehto

University for Continuing Education Krems

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Shireen Sindi
Elisabeth Calov
J. G. Fokkens
+4 more

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.

How to cite this publication

Shireen Sindi, Elisabeth Calov, J. G. Fokkens, Tiia Ngandu, Hilkka Soininen, Jaakko Tuomilehto, Miia Kivipelto (2015). The CAIDE Dementia Risk Score App: The development of an evidence‐based mobile application to predict the risk of dementia. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, 1(3), pp. 328-333, DOI: 10.1016/j.dadm.2015.06.005.

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Publication Details

Type

Article

Year

2015

Authors

7

Datasets

0

Total Files

0

Language

English

Journal

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring

DOI

10.1016/j.dadm.2015.06.005

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