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Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis
INTRODUCTION: Gait impairment is common in multiple sclerosis (MS), but difficult to evaluate in clinical practice. In this proof-of-concept observational study, we compared walking ability recorded by Google Maps Timeline to conventional clinical measures in people with MS. METHODS: We used open-ac...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505345/ https://www.ncbi.nlm.nih.gov/pubmed/37724131 http://dx.doi.org/10.1177/20552173231202123 |
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author | Caliendo, Daniele Puca, Anna Lavorgna, Luigi Carotenuto, Antonio Petracca, Maria Lanzillo, Roberta Brescia Morra, Vincenzo Moccia, Marcello |
author_facet | Caliendo, Daniele Puca, Anna Lavorgna, Luigi Carotenuto, Antonio Petracca, Maria Lanzillo, Roberta Brescia Morra, Vincenzo Moccia, Marcello |
author_sort | Caliendo, Daniele |
collection | PubMed |
description | INTRODUCTION: Gait impairment is common in multiple sclerosis (MS), but difficult to evaluate in clinical practice. In this proof-of-concept observational study, we compared walking ability recorded by Google Maps Timeline to conventional clinical measures in people with MS. METHODS: We used open-access Google Maps Timeline to record the total number of days with walking activity, walking distance, walking time, and walking speed. Each Google Maps Timeline variable was included in a different stepwise linear regression model including all conventional clinical variables. RESULTS: We included nine people with MS (age 43.1 ± 6.6 years; females 55.6%; disease duration 12.7 ± 3.1 years; median Expanded Disability Status Scale 3.0 (range 1.0–5.5)). Higher percentage of days with recorded walking was associated with lower Fatigue Severity Scale (p = 0.01), and higher MS Walking Scale (p = 0.04). Longer average daily walking distance was associated with shorter Timed-25 Foot Walking Test (p = 0.02), lower Expanded Disability Status Scale (p = 0.01), and higher Euro-Quality of Life (p = 0.04). Longer average daily walking time was associated with shorter Timed-25 Foot Walking Test (p = 0.03). Higher walking speed was associated with lower Fatigue Severity Scale (p = 0.04). CONCLUSION: Google Maps Timeline parameters provide actual estimates of daily walking activities in MS. |
format | Online Article Text |
id | pubmed-10505345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-105053452023-09-18 Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis Caliendo, Daniele Puca, Anna Lavorgna, Luigi Carotenuto, Antonio Petracca, Maria Lanzillo, Roberta Brescia Morra, Vincenzo Moccia, Marcello Mult Scler J Exp Transl Clin Brief Report INTRODUCTION: Gait impairment is common in multiple sclerosis (MS), but difficult to evaluate in clinical practice. In this proof-of-concept observational study, we compared walking ability recorded by Google Maps Timeline to conventional clinical measures in people with MS. METHODS: We used open-access Google Maps Timeline to record the total number of days with walking activity, walking distance, walking time, and walking speed. Each Google Maps Timeline variable was included in a different stepwise linear regression model including all conventional clinical variables. RESULTS: We included nine people with MS (age 43.1 ± 6.6 years; females 55.6%; disease duration 12.7 ± 3.1 years; median Expanded Disability Status Scale 3.0 (range 1.0–5.5)). Higher percentage of days with recorded walking was associated with lower Fatigue Severity Scale (p = 0.01), and higher MS Walking Scale (p = 0.04). Longer average daily walking distance was associated with shorter Timed-25 Foot Walking Test (p = 0.02), lower Expanded Disability Status Scale (p = 0.01), and higher Euro-Quality of Life (p = 0.04). Longer average daily walking time was associated with shorter Timed-25 Foot Walking Test (p = 0.03). Higher walking speed was associated with lower Fatigue Severity Scale (p = 0.04). CONCLUSION: Google Maps Timeline parameters provide actual estimates of daily walking activities in MS. SAGE Publications 2023-09-16 /pmc/articles/PMC10505345/ /pubmed/37724131 http://dx.doi.org/10.1177/20552173231202123 Text en © The Author(s), 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Brief Report Caliendo, Daniele Puca, Anna Lavorgna, Luigi Carotenuto, Antonio Petracca, Maria Lanzillo, Roberta Brescia Morra, Vincenzo Moccia, Marcello Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis |
title | Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis |
title_full | Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis |
title_fullStr | Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis |
title_full_unstemmed | Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis |
title_short | Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis |
title_sort | google maps timeline: an open-access digital tool to monitor walking abilities in people with multiple sclerosis |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505345/ https://www.ncbi.nlm.nih.gov/pubmed/37724131 http://dx.doi.org/10.1177/20552173231202123 |
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