Daniele Caliendo, Anna Puca, Luigi Lavorgna, Antonio Carotenuto, Maria Petracca, Roberta Lanzillo, Vincenzo Brescia Morra, Marcello Moccia
{"title":"Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis.","authors":"Daniele Caliendo, Anna Puca, Luigi Lavorgna, Antonio Carotenuto, Maria Petracca, Roberta Lanzillo, Vincenzo Brescia Morra, Marcello Moccia","doi":"10.1177/20552173231202123","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 (<i>p</i> = 0.01), and higher MS Walking Scale (<i>p</i> = 0.04). Longer average daily walking distance was associated with shorter Timed-25 Foot Walking Test (<i>p</i> = 0.02), lower Expanded Disability Status Scale (<i>p</i> = 0.01), and higher Euro-Quality of Life (<i>p</i> = 0.04). Longer average daily walking time was associated with shorter Timed-25 Foot Walking Test (<i>p</i> = 0.03). Higher walking speed was associated with lower Fatigue Severity Scale (<i>p</i> = 0.04).</p><p><strong>Conclusion: </strong>Google Maps Timeline parameters provide actual estimates of daily walking activities in MS.</p>","PeriodicalId":18961,"journal":{"name":"Multiple Sclerosis Journal - Experimental, Translational and Clinical","volume":"9 3","pages":"20552173231202123"},"PeriodicalIF":2.5000,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3d/29/10.1177_20552173231202123.PMC10505345.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple Sclerosis Journal - Experimental, Translational and Clinical","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/20552173231202123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/7/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 1
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.