Accelerometry as a measure of walking behavior in multiple sclerosis

Objective Accelerometry has been identified as a possible ecologically valid and objective approach for measuring community ambulation in multiple sclerosis (MS). This study provides a validation of accelerometer output based on associations with Expanded Disability Status Scale (EDSS), Patient Dete...

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Veröffentlicht in:Acta neurologica Scandinavica 2013-06, Vol.127 (6), p.384-390
Hauptverfasser: Motl, R. W., Pilutti, L., Sandroff, B. M., Dlugonski, D., Sosnoff, J. J., Pula, J. H.
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container_end_page 390
container_issue 6
container_start_page 384
container_title Acta neurologica Scandinavica
container_volume 127
creator Motl, R. W.
Pilutti, L.
Sandroff, B. M.
Dlugonski, D.
Sosnoff, J. J.
Pula, J. H.
description Objective Accelerometry has been identified as a possible ecologically valid and objective approach for measuring community ambulation in multiple sclerosis (MS). This study provides a validation of accelerometer output based on associations with Expanded Disability Status Scale (EDSS), Patient Determined Disease Steps (PDDS) Scale, and Multiple Sclerosis Walking Scale‐12 (MSWS‐12) scores, timed 25‐foot walk (T25FW) and 6‐min walk (6MW) performance, oxygen cost (O2 cost) of walking, and spatial and temporal parameters of gait. Materials and Methods 256 persons with MS completed the PDDS and MSWS‐12, underwent an examination for the generation of an EDSS score, undertook two T25FW tests and a 6MW while wearing a portable metabolic unit for measuring the O2 cost of walking, completed two trials of comfortable walking on a GAITRite electronic walkway for measuring spatial and temporal parameters of gait, and then wore an Actigraph accelerometer during the waking hours of a 7‐day period. Results The accelerometer output was significantly correlated with EDSS (ρ = −0.522), PDDS (ρ = −0.551), and MSWS‐12 (ρ = −0.617) scores, T25FW (ρ = −0.595) and 6MW (ρ = 0.630) performance, and O2 cost of walking (ρ = −0.457). Regarding gait parameters, the accelerometer output was significantly correlated with velocity (ρ = 0.420), cadence (ρ = 0.349), step time (ρ = −0.353), step length (ρ = 0.395), double support (ρ = −0.424), and single support (ρ = 0.400). Conclusion We provide comprehensive evidence from a large sample of persons with MS that further supports accelerometry as a measure of walking behavior.
doi_str_mv 10.1111/ane.12036
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W. ; Pilutti, L. ; Sandroff, B. M. ; Dlugonski, D. ; Sosnoff, J. J. ; Pula, J. H.</creator><creatorcontrib>Motl, R. W. ; Pilutti, L. ; Sandroff, B. M. ; Dlugonski, D. ; Sosnoff, J. J. ; Pula, J. H.</creatorcontrib><description>Objective Accelerometry has been identified as a possible ecologically valid and objective approach for measuring community ambulation in multiple sclerosis (MS). This study provides a validation of accelerometer output based on associations with Expanded Disability Status Scale (EDSS), Patient Determined Disease Steps (PDDS) Scale, and Multiple Sclerosis Walking Scale‐12 (MSWS‐12) scores, timed 25‐foot walk (T25FW) and 6‐min walk (6MW) performance, oxygen cost (O2 cost) of walking, and spatial and temporal parameters of gait. Materials and Methods 256 persons with MS completed the PDDS and MSWS‐12, underwent an examination for the generation of an EDSS score, undertook two T25FW tests and a 6MW while wearing a portable metabolic unit for measuring the O2 cost of walking, completed two trials of comfortable walking on a GAITRite electronic walkway for measuring spatial and temporal parameters of gait, and then wore an Actigraph accelerometer during the waking hours of a 7‐day period. Results The accelerometer output was significantly correlated with EDSS (ρ = −0.522), PDDS (ρ = −0.551), and MSWS‐12 (ρ = −0.617) scores, T25FW (ρ = −0.595) and 6MW (ρ = 0.630) performance, and O2 cost of walking (ρ = −0.457). Regarding gait parameters, the accelerometer output was significantly correlated with velocity (ρ = 0.420), cadence (ρ = 0.349), step time (ρ = −0.353), step length (ρ = 0.395), double support (ρ = −0.424), and single support (ρ = 0.400). Conclusion We provide comprehensive evidence from a large sample of persons with MS that further supports accelerometry as a measure of walking behavior.</description><identifier>ISSN: 0001-6314</identifier><identifier>EISSN: 1600-0404</identifier><identifier>DOI: 10.1111/ane.12036</identifier><identifier>PMID: 23240822</identifier><identifier>CODEN: ANRSAS</identifier><language>eng</language><publisher>Denmark: Blackwell Publishing Ltd</publisher><subject>Accelerometers ; Accelerometry ; Adult ; ambulation ; Cohort Studies ; Disability Evaluation ; Female ; Gait ; Humans ; Male ; Middle Aged ; mobility ; Mobility Limitation ; Multiple sclerosis ; Multiple Sclerosis - complications ; Multiple Sclerosis - physiopathology ; Multiple Sclerosis - psychology ; neurology ; Predictive Value of Tests ; Reproducibility of Results ; walking ; Walking - physiology</subject><ispartof>Acta neurologica Scandinavica, 2013-06, Vol.127 (6), p.384-390</ispartof><rights>2012 John Wiley &amp; Sons A/S</rights><rights>2012 John Wiley &amp; Sons A/S.</rights><rights>Copyright © 2013 John Wiley &amp; Sons A/S</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5256-571da4f23b9e2b230f9227601a1256349a3af407c24071afbf687bf8a9f699023</citedby><cites>FETCH-LOGICAL-c5256-571da4f23b9e2b230f9227601a1256349a3af407c24071afbf687bf8a9f699023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fane.12036$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fane.12036$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23240822$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Motl, R. W.</creatorcontrib><creatorcontrib>Pilutti, L.</creatorcontrib><creatorcontrib>Sandroff, B. M.</creatorcontrib><creatorcontrib>Dlugonski, D.</creatorcontrib><creatorcontrib>Sosnoff, J. J.</creatorcontrib><creatorcontrib>Pula, J. H.</creatorcontrib><title>Accelerometry as a measure of walking behavior in multiple sclerosis</title><title>Acta neurologica Scandinavica</title><addtitle>Acta Neurol Scand</addtitle><description>Objective Accelerometry has been identified as a possible ecologically valid and objective approach for measuring community ambulation in multiple sclerosis (MS). This study provides a validation of accelerometer output based on associations with Expanded Disability Status Scale (EDSS), Patient Determined Disease Steps (PDDS) Scale, and Multiple Sclerosis Walking Scale‐12 (MSWS‐12) scores, timed 25‐foot walk (T25FW) and 6‐min walk (6MW) performance, oxygen cost (O2 cost) of walking, and spatial and temporal parameters of gait. Materials and Methods 256 persons with MS completed the PDDS and MSWS‐12, underwent an examination for the generation of an EDSS score, undertook two T25FW tests and a 6MW while wearing a portable metabolic unit for measuring the O2 cost of walking, completed two trials of comfortable walking on a GAITRite electronic walkway for measuring spatial and temporal parameters of gait, and then wore an Actigraph accelerometer during the waking hours of a 7‐day period. Results The accelerometer output was significantly correlated with EDSS (ρ = −0.522), PDDS (ρ = −0.551), and MSWS‐12 (ρ = −0.617) scores, T25FW (ρ = −0.595) and 6MW (ρ = 0.630) performance, and O2 cost of walking (ρ = −0.457). Regarding gait parameters, the accelerometer output was significantly correlated with velocity (ρ = 0.420), cadence (ρ = 0.349), step time (ρ = −0.353), step length (ρ = 0.395), double support (ρ = −0.424), and single support (ρ = 0.400). Conclusion We provide comprehensive evidence from a large sample of persons with MS that further supports accelerometry as a measure of walking behavior.</description><subject>Accelerometers</subject><subject>Accelerometry</subject><subject>Adult</subject><subject>ambulation</subject><subject>Cohort Studies</subject><subject>Disability Evaluation</subject><subject>Female</subject><subject>Gait</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>mobility</subject><subject>Mobility Limitation</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - complications</subject><subject>Multiple Sclerosis - physiopathology</subject><subject>Multiple Sclerosis - psychology</subject><subject>neurology</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility of Results</subject><subject>walking</subject><subject>Walking - physiology</subject><issn>0001-6314</issn><issn>1600-0404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1LAzEQhoMoWqsH_4AEvOhhdfKxye6xVK1C0Yti8RKy20Sju92adNX-e1NrexAEAyEMeeadd2YQOiBwSuI50xNzSigwsYE6RAAkwIFvog4AkEQwwnfQbggvMaKS8220QxnlkFHaQee9sjSV8U1tZn6OdcAa10aH1hvcWPyhq1c3ecKFedbvrvHYTXDdVjM3rQwO5SIxuLCHtqyugtn_ebvo_vLirn-VDG8H1_3eMClTmooklWSsuaWsyA0tKAObUyoFEE3iN-O5ZtpykGU0J4m2hRWZLGymcyvyHCjrouOl7tQ3b60JM1W7EO1XcQBNGxRhqcjjZeI_aKydpZJH9OgX-tK0fhIbWVAgokGyqH2ypMrYcvDGqql3tfZzRUAttqCisvreQmQPfxTbojbjNbkaewTOlsCHq8z8byXVu7lYSSbLDBdm5nOdof2rEpLJVD3cDNQoI5CN6EA9si9qR5yw</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Motl, R. 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W.</creatorcontrib><creatorcontrib>Pilutti, L.</creatorcontrib><creatorcontrib>Sandroff, B. M.</creatorcontrib><creatorcontrib>Dlugonski, D.</creatorcontrib><creatorcontrib>Sosnoff, J. J.</creatorcontrib><creatorcontrib>Pula, J. H.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Acta neurologica Scandinavica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Motl, R. W.</au><au>Pilutti, L.</au><au>Sandroff, B. M.</au><au>Dlugonski, D.</au><au>Sosnoff, J. J.</au><au>Pula, J. H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accelerometry as a measure of walking behavior in multiple sclerosis</atitle><jtitle>Acta neurologica Scandinavica</jtitle><addtitle>Acta Neurol Scand</addtitle><date>2013-06</date><risdate>2013</risdate><volume>127</volume><issue>6</issue><spage>384</spage><epage>390</epage><pages>384-390</pages><issn>0001-6314</issn><eissn>1600-0404</eissn><coden>ANRSAS</coden><abstract>Objective Accelerometry has been identified as a possible ecologically valid and objective approach for measuring community ambulation in multiple sclerosis (MS). This study provides a validation of accelerometer output based on associations with Expanded Disability Status Scale (EDSS), Patient Determined Disease Steps (PDDS) Scale, and Multiple Sclerosis Walking Scale‐12 (MSWS‐12) scores, timed 25‐foot walk (T25FW) and 6‐min walk (6MW) performance, oxygen cost (O2 cost) of walking, and spatial and temporal parameters of gait. Materials and Methods 256 persons with MS completed the PDDS and MSWS‐12, underwent an examination for the generation of an EDSS score, undertook two T25FW tests and a 6MW while wearing a portable metabolic unit for measuring the O2 cost of walking, completed two trials of comfortable walking on a GAITRite electronic walkway for measuring spatial and temporal parameters of gait, and then wore an Actigraph accelerometer during the waking hours of a 7‐day period. Results The accelerometer output was significantly correlated with EDSS (ρ = −0.522), PDDS (ρ = −0.551), and MSWS‐12 (ρ = −0.617) scores, T25FW (ρ = −0.595) and 6MW (ρ = 0.630) performance, and O2 cost of walking (ρ = −0.457). Regarding gait parameters, the accelerometer output was significantly correlated with velocity (ρ = 0.420), cadence (ρ = 0.349), step time (ρ = −0.353), step length (ρ = 0.395), double support (ρ = −0.424), and single support (ρ = 0.400). Conclusion We provide comprehensive evidence from a large sample of persons with MS that further supports accelerometry as a measure of walking behavior.</abstract><cop>Denmark</cop><pub>Blackwell Publishing Ltd</pub><pmid>23240822</pmid><doi>10.1111/ane.12036</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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subjects Accelerometers
Accelerometry
Adult
ambulation
Cohort Studies
Disability Evaluation
Female
Gait
Humans
Male
Middle Aged
mobility
Mobility Limitation
Multiple sclerosis
Multiple Sclerosis - complications
Multiple Sclerosis - physiopathology
Multiple Sclerosis - psychology
neurology
Predictive Value of Tests
Reproducibility of Results
walking
Walking - physiology
title Accelerometry as a measure of walking behavior in multiple sclerosis
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