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Impact of road network structure on dementia-related missing incidents: a spatial buffer approach
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 con...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596503/ https://www.ncbi.nlm.nih.gov/pubmed/33122727 http://dx.doi.org/10.1038/s41598-020-74915-y |
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author | Puthusseryppady, Vaisakh Manley, Ed Lowry, Ellen Patel, Martyn Hornberger, Michael |
author_facet | Puthusseryppady, Vaisakh Manley, Ed Lowry, Ellen Patel, Martyn Hornberger, Michael |
author_sort | Puthusseryppady, Vaisakh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7596503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75965032020-10-30 Impact of road network structure on dementia-related missing incidents: a spatial buffer approach Puthusseryppady, Vaisakh Manley, Ed Lowry, Ellen Patel, Martyn Hornberger, Michael Sci Rep Article 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. Nature Publishing Group UK 2020-10-29 /pmc/articles/PMC7596503/ /pubmed/33122727 http://dx.doi.org/10.1038/s41598-020-74915-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Puthusseryppady, Vaisakh Manley, Ed Lowry, Ellen Patel, Martyn Hornberger, Michael Impact of road network structure on dementia-related missing incidents: a spatial buffer approach |
title | Impact of road network structure on dementia-related missing incidents: a spatial buffer approach |
title_full | Impact of road network structure on dementia-related missing incidents: a spatial buffer approach |
title_fullStr | Impact of road network structure on dementia-related missing incidents: a spatial buffer approach |
title_full_unstemmed | Impact of road network structure on dementia-related missing incidents: a spatial buffer approach |
title_short | Impact of road network structure on dementia-related missing incidents: a spatial buffer approach |
title_sort | impact of road network structure on dementia-related missing incidents: a spatial buffer approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596503/ https://www.ncbi.nlm.nih.gov/pubmed/33122727 http://dx.doi.org/10.1038/s41598-020-74915-y |
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