Modelling the spatial risk pattern of dementia in Denmark using residential location data: A registry-based national cohort.

Autor: Amegbor PM; School of Global Public Health, New York University, NY 10003, USA; Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Denmark Statistics, Copenhagen, Denmark. Electronic address: prince.amegbor@nyu.edu., Sabel CE; Big Data Centre for Environment and Health (BERTHA), Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Department of Public Health, Bartholins Allé 2, 8000 Aarhus C, Denmark., Mortensen LH; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Denmark Statistics, Copenhagen, Denmark., Mehta AJ; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Denmark Statistics, Copenhagen, Denmark.
Jazyk: angličtina
Zdroj: Spatial and spatio-temporal epidemiology [Spat Spatiotemporal Epidemiol] 2024 Jun; Vol. 49, pp. 100643. Date of Electronic Publication: 2024 Feb 09.
DOI: 10.1016/j.sste.2024.100643
Abstrakt: Dementia is a major global public health concern that is increasingly leading to morbidity and mortality among older adults. While studies have focused on the risk factors and care provision, there is currently limited knowledge about the spatial risk pattern of the disease. In this study, we employ Bayesian spatial modelling with a stochastic partial differential equation (SPDE) approach to model the spatial risk using complete residential history data from the Danish population and health registers. The study cohort consisted of 1.6 million people aged 65 years and above from 2005 to 2018. The results of the spatial risk map indicate high-risk areas in Copenhagen, southern Jutland and Funen. Individual socioeconomic factors and population density reduce the intensity of high-risk patterns across Denmark. The findings of this study call for the critical examination of the contribution of place of residence in the susceptibility of the global ageing population to dementia.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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