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.

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. - In: MULTIPLE SCLEROSIS JOURNAL, EXPERIMENTAL, TRANSLATIONAL AND CLINICAL. - ISSN 2055-2173. - 9:3(2023), p. 20552173231202123. [10.1177/20552173231202123]

Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis

Petracca, Maria;
2023

Abstract

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.
2023
Google Maps Timeline; Multiple sclerosis; digital; gait; walking
01 Pubblicazione su rivista::01a Articolo in rivista
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. - In: MULTIPLE SCLEROSIS JOURNAL, EXPERIMENTAL, TRANSLATIONAL AND CLINICAL. - ISSN 2055-2173. - 9:3(2023), p. 20552173231202123. [10.1177/20552173231202123]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1693317
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