Thompson, Fintan, Russell, Sarah G, Quigley, Rachel, Sagigi, Betty, Miller, Gavin, Esterman, Adrian, Harriss, Linton R., Taylor, Sean, McDermott, Robyn, and Strivens, Edward (2023) Dementia Risk Models in an Australian First Nations Population: Cross-Sectional Associations and Preparation for Follow-Up. Journal of Alzheimer's Disease Reports, 7 (1). pp. 543-555.

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Abstract

Background: Reducing the burden of dementia in First Nations populations may be addressed through developing population specific methods to quantify future risk of dementia.

Objective: 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: 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 Chi2.

Results: 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: 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.

Item ID:	80245
Item Type:	Article (Research - C1)
ISSN:	2542-4823
Copyright Information:	© 2023 – The authors. Published by IOS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4.0).
Funders:	National Health and Medical Research Council (NHMRC)
Projects and Grants:	NHMRC GNT1107140, NHMRC GNT1191144, NHMRC GNT1106175
Date Deposited:	04 Sep 2023 01:36
FoR Codes:	42 HEALTH SCIENCES > 4206 Public health > 420699 Public health not elsewhere classified @ 100%
SEO Codes:	20 HEALTH > 2004 Public health (excl. specific population health) > 200499 Public health (excl. specific population health) not elsewhere classified @ 100%
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