Marcello Moccia

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Articles (10)

Year:

2023

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.

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (9)

NELSON MAURO MALDONATO

Full Professor

University of Naples Federico II

ITALY
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Enrico Tedeschi

Professore Associato - Neuroradiologia

Università degli Studi di Napoli Federico II

ITALY
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Ruth Ann Marrie

University of Manitoba

CANADA
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Maria Pia Amato

University of Florence

ITALY
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Rosa IODICE

Professore Associato

Università degli Studi di Napoli Federico II

ITALY
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Cristiano Scandurra

University of Naples Federico II

ITALY
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Luigi Lavorgna

Università degli Studi della Campania Luigi Vanvitelli

ITALY
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francesco patti

Professore Associato di Neurologia SSD Med 26

University of Catania

ITALY
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Emanuele D'Amico

Associate Professor

-

ITALY
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