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Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle
BACKGROUND: Lifespace is a multidimensional construct that describes the geographic area in which a person lives and conducts their activities, and reflects mobility, health, and well-being. Traditionally, it has been measured by asking older people to self-report the length and frequency of trips t...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4114414/ https://www.ncbi.nlm.nih.gov/pubmed/25100206 http://dx.doi.org/10.2196/mhealth.2799 |
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author | Liddle, Jacki Ireland, David McBride, Simon J Brauer, Sandra G Hall, Leanne M Ding, Hang Karunanithi, Mohan Hodges, Paul W Theodoros, Deborah Silburn, Peter A Chenery, Helen J |
author_facet | Liddle, Jacki Ireland, David McBride, Simon J Brauer, Sandra G Hall, Leanne M Ding, Hang Karunanithi, Mohan Hodges, Paul W Theodoros, Deborah Silburn, Peter A Chenery, Helen J |
author_sort | Liddle, Jacki |
collection | PubMed |
description | BACKGROUND: Lifespace is a multidimensional construct that describes the geographic area in which a person lives and conducts their activities, and reflects mobility, health, and well-being. Traditionally, it has been measured by asking older people to self-report the length and frequency of trips taken and assistance required. Global Positioning System (GPS) sensors on smartphones have been used to measure Lifespace of older people, but not with people with Parkinson’s disease (PD). OBJECTIVE: The objective of this study was to investigate whether GPS data collected via smartphones could be used to indicate the Lifespace of people with PD. METHODS: The dataset was supplied via the Michael J Fox Foundation Data Challenge and included 9 people with PD and 7 approximately matched controls. Participants carried smartphones with GPS sensors over two months. Data analysis compared the PD group and the control group. The impact of symptom severity on Lifespace was also investigated. RESULTS: Visualization methods for comparing Lifespace were developed including scatterplots and heatmaps. Lifespace metrics for comparison included average daily distance, percentage of time spent at home, and number of trips into the community. There were no significant differences between the PD and the control groups on Lifespace metrics. Visual representations of Lifespace were organized based on the self-reported severity of symptoms, suggesting a trend of decreasing Lifespace with increasing PD symptoms. CONCLUSIONS: Lifespace measured by GPS-enabled smartphones may be a useful concept to measure the progression of PD and the impact of various therapies and rehabilitation programs. Directions for future use of GPS-based Lifespace are provided. |
format | Online Article Text |
id | pubmed-4114414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-41144142014-08-04 Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle Liddle, Jacki Ireland, David McBride, Simon J Brauer, Sandra G Hall, Leanne M Ding, Hang Karunanithi, Mohan Hodges, Paul W Theodoros, Deborah Silburn, Peter A Chenery, Helen J JMIR Mhealth Uhealth Original Paper BACKGROUND: Lifespace is a multidimensional construct that describes the geographic area in which a person lives and conducts their activities, and reflects mobility, health, and well-being. Traditionally, it has been measured by asking older people to self-report the length and frequency of trips taken and assistance required. Global Positioning System (GPS) sensors on smartphones have been used to measure Lifespace of older people, but not with people with Parkinson’s disease (PD). OBJECTIVE: The objective of this study was to investigate whether GPS data collected via smartphones could be used to indicate the Lifespace of people with PD. METHODS: The dataset was supplied via the Michael J Fox Foundation Data Challenge and included 9 people with PD and 7 approximately matched controls. Participants carried smartphones with GPS sensors over two months. Data analysis compared the PD group and the control group. The impact of symptom severity on Lifespace was also investigated. RESULTS: Visualization methods for comparing Lifespace were developed including scatterplots and heatmaps. Lifespace metrics for comparison included average daily distance, percentage of time spent at home, and number of trips into the community. There were no significant differences between the PD and the control groups on Lifespace metrics. Visual representations of Lifespace were organized based on the self-reported severity of symptoms, suggesting a trend of decreasing Lifespace with increasing PD symptoms. CONCLUSIONS: Lifespace measured by GPS-enabled smartphones may be a useful concept to measure the progression of PD and the impact of various therapies and rehabilitation programs. Directions for future use of GPS-based Lifespace are provided. JMIR Publications Inc. 2014-03-12 /pmc/articles/PMC4114414/ /pubmed/25100206 http://dx.doi.org/10.2196/mhealth.2799 Text en ©Jacki Liddle, David Ireland, Simon J McBride, Sandra G Brauer, Leanne M Hall, Hang Ding, Mohan Karunanithi, Paul W Hodges, Deborah Theodoros, Peter A Silburn, Helen J Chenery. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 12.03.2014. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Liddle, Jacki Ireland, David McBride, Simon J Brauer, Sandra G Hall, Leanne M Ding, Hang Karunanithi, Mohan Hodges, Paul W Theodoros, Deborah Silburn, Peter A Chenery, Helen J Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle |
title | Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle |
title_full | Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle |
title_fullStr | Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle |
title_full_unstemmed | Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle |
title_short | Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle |
title_sort | measuring the lifespace of people with parkinson’s disease using smartphones: proof of principle |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4114414/ https://www.ncbi.nlm.nih.gov/pubmed/25100206 http://dx.doi.org/10.2196/mhealth.2799 |
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