Dementia Risk Models in an Australian First Nations Population: Cross-Sectional Associations and Preparation for Follow-Up.
Alzheimer’s disease
Australia
First Nations
Indigenous
dementia
diagnostic
risk models
Journal
Journal of Alzheimer's disease reports
ISSN: 2542-4823
Titre abrégé: J Alzheimers Dis Rep
Pays: Netherlands
ID NLM: 101705500
Informations de publication
Date de publication:
2023
2023
Historique:
received:
25
11
2022
accepted:
01
05
2023
medline:
14
6
2023
pubmed:
14
6
2023
entrez:
14
6
2023
Statut:
epublish
Résumé
Reducing the burden of dementia in First Nations populations may be addressed through developing population specific methods to quantify future risk of dementia. To adapt existing dementia risk models to cross-sectional dementia prevalence data from a First Nations population in the Torres Strait region of Australia in preparation for follow-up of participants. To explore the diagnostic utility of these dementia risk models at detecting dementia. A literature review to identify existing externally validated dementia risk models. Adapting these models to cross-sectional data and assessing their diagnostic utility through area under the receiver operating characteristic curve (AUROC) analyses and calibration using Hosmer-Lemeshow Chi Seven risk models could be adapted to the study data. The Aging, Cognition and Dementia (AgeCoDe) study, the Framingham Heart Study (FHS), and the Brief Dementia Screening Indicator (BDSI) had moderate diagnostic utility in identifying dementia (i.e., AUROC >0.70) before and after points for older age were removed. Seven existing dementia risk models could be adapted to this First Nations population, and three had some cross-sectional diagnostic utility. These models were designed to predict dementia incidence, so their applicability to identify prevalent cases would be limited. The risk scores derived in this study may have prognostic utility as participants are followed up over time. In the interim, this study highlights considerations when transporting and developing dementia risk models for First Nations populations.
Sections du résumé
Background
UNASSIGNED
Reducing the burden of dementia in First Nations populations may be addressed through developing population specific methods to quantify future risk of dementia.
Objective
UNASSIGNED
To adapt existing dementia risk models to cross-sectional dementia prevalence data from a First Nations population in the Torres Strait region of Australia in preparation for follow-up of participants. To explore the diagnostic utility of these dementia risk models at detecting dementia.
Methods
UNASSIGNED
A literature review to identify existing externally validated dementia risk models. Adapting these models to cross-sectional data and assessing their diagnostic utility through area under the receiver operating characteristic curve (AUROC) analyses and calibration using Hosmer-Lemeshow Chi
Results
UNASSIGNED
Seven risk models could be adapted to the study data. The Aging, Cognition and Dementia (AgeCoDe) study, the Framingham Heart Study (FHS), and the Brief Dementia Screening Indicator (BDSI) had moderate diagnostic utility in identifying dementia (i.e., AUROC >0.70) before and after points for older age were removed.
Conclusion
UNASSIGNED
Seven existing dementia risk models could be adapted to this First Nations population, and three had some cross-sectional diagnostic utility. These models were designed to predict dementia incidence, so their applicability to identify prevalent cases would be limited. The risk scores derived in this study may have prognostic utility as participants are followed up over time. In the interim, this study highlights considerations when transporting and developing dementia risk models for First Nations populations.
Identifiants
pubmed: 37313487
doi: 10.3233/ADR-220093
pii: ADR220093
pmc: PMC10259055
doi:
Types de publication
Journal Article
Langues
eng
Pagination
543-555Informations de copyright
© 2023 – The authors. Published by IOS Press.
Déclaration de conflit d'intérêts
The authors have no conflict of interest to declare.
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