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Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis

BACKGROUND: Measuring mobility is critical for understanding neighborhood influences on older adults’ health and functioning. Global Positioning Systems (GPS) may represent an important opportunity to measure, describe, and compare mobility patterns in older adults. METHODS: We generated three types...

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Detalles Bibliográficos
Autores principales: Hirsch, Jana A, Winters, Meghan, Clarke, Philippa, McKay, Heather
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326206/
https://www.ncbi.nlm.nih.gov/pubmed/25495710
http://dx.doi.org/10.1186/1476-072X-13-51
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author Hirsch, Jana A
Winters, Meghan
Clarke, Philippa
McKay, Heather
author_facet Hirsch, Jana A
Winters, Meghan
Clarke, Philippa
McKay, Heather
author_sort Hirsch, Jana A
collection PubMed
description BACKGROUND: Measuring mobility is critical for understanding neighborhood influences on older adults’ health and functioning. Global Positioning Systems (GPS) may represent an important opportunity to measure, describe, and compare mobility patterns in older adults. METHODS: We generated three types of activity spaces (Standard Deviation Ellipse, Minimum Convex Polygon, Daily Path Area) using GPS data from 95 older adults in Vancouver, Canada. Calculated activity space areas and compactness were compared across sociodemographic and resource characteristics. RESULTS: Area measures derived from the three different approaches to developing activity spaces were highly correlated. Participants who were younger, lived in less walkable neighborhoods, had a valid driver’s license, had access to a vehicle, or had physical support to go outside of their homes had larger activity spaces. Mobility space compactness measures also differed by sociodemographic and resource characteristics. CONCLUSIONS: This research extends the literature by demonstrating that GPS tracking can be used as a valuable tool to better understand the geographic mobility patterns of older adults. This study informs potential ways to maintain older adult independence by identifying factors that influence geographic mobility. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1476-072X-13-51) contains supplementary material, which is available to authorized users.
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spelling pubmed-43262062015-02-13 Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis Hirsch, Jana A Winters, Meghan Clarke, Philippa McKay, Heather Int J Health Geogr Research BACKGROUND: Measuring mobility is critical for understanding neighborhood influences on older adults’ health and functioning. Global Positioning Systems (GPS) may represent an important opportunity to measure, describe, and compare mobility patterns in older adults. METHODS: We generated three types of activity spaces (Standard Deviation Ellipse, Minimum Convex Polygon, Daily Path Area) using GPS data from 95 older adults in Vancouver, Canada. Calculated activity space areas and compactness were compared across sociodemographic and resource characteristics. RESULTS: Area measures derived from the three different approaches to developing activity spaces were highly correlated. Participants who were younger, lived in less walkable neighborhoods, had a valid driver’s license, had access to a vehicle, or had physical support to go outside of their homes had larger activity spaces. Mobility space compactness measures also differed by sociodemographic and resource characteristics. CONCLUSIONS: This research extends the literature by demonstrating that GPS tracking can be used as a valuable tool to better understand the geographic mobility patterns of older adults. This study informs potential ways to maintain older adult independence by identifying factors that influence geographic mobility. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1476-072X-13-51) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-12 /pmc/articles/PMC4326206/ /pubmed/25495710 http://dx.doi.org/10.1186/1476-072X-13-51 Text en © Hirsch et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hirsch, Jana A
Winters, Meghan
Clarke, Philippa
McKay, Heather
Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis
title Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis
title_full Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis
title_fullStr Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis
title_full_unstemmed Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis
title_short Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis
title_sort generating gps activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326206/
https://www.ncbi.nlm.nih.gov/pubmed/25495710
http://dx.doi.org/10.1186/1476-072X-13-51
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