0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessBackground 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.
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.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
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
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access