Impact of road network structure on dementia-related missing incidents: A spatial buffer approach

Puthusseryppady, Vaisakh, Manley, Ed, Lowry, Ellen, Patel, Martyn and Hornberger, Michael ORCID: https://orcid.org/0000-0002-2214-3788 (2020) Impact of road network structure on dementia-related missing incidents: A spatial buffer approach. Scientific Reports, 10. ISSN 2045-2322

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Abstract

Dementia-related missing incidents are a highly prevalent issue worldwide. Despite being associated with potentially life-threatening consequences, very little is still known about what environmental risk factors may potentially contribute to these missing incidents. The aim of this study was to conduct a retrospective, observational analysis using a large sample of police case records of missing individuals with dementia (n = 210). Due to the influence that road network structure has on our real world navigation, we aimed to explore the relationship between road intersection density, intersection complexity, and orientation entropy to the dementia-related missing incidents. For each missing incident location, the above three variables were computed at a 1 km radius buffer zone around these locations; these values were then compared to that of a set of random locations. The results showed that higher road intersection density, intersection complexity, and orientation entropy were all significantly associated with dementia-related missing incidents. Our results suggest that these properties of road network structure emerge as significant environmental risk factors for dementia-related missing incidents, informing future prospective studies as well as safeguarding guidelines.

Item Type: Article
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
Faculty of Social Sciences > School of Psychology
UEA Research Groups: Faculty of Social Sciences > Research Groups > Cognition, Action and Perception
Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health
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Depositing User: LivePure Connector
Date Deposited: 04 Nov 2020 01:08
Last Modified: 31 Jan 2024 02:49
URI: https://ueaeprints.uea.ac.uk/id/eprint/77526
DOI: 10.1038/s41598-020-74915-y

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