Show simple item record

dc.contributor.authorToosizadeh, Nima
dc.contributor.authorStocker, Hannah
dc.contributor.authorThiede, Rebecca
dc.contributor.authorMohler, Jane
dc.contributor.authorMills, Joseph L
dc.contributor.authorNajafi, Bijan
dc.date.accessioned2017-02-03T18:26:14Z
dc.date.available2017-02-03T18:26:14Z
dc.date.issued2016-12
dc.identifier.citationAlterations in gait parameters with peripheral artery disease: The importance of pre-frailty as a confounding variable 2016, 21 (6):520 Vascular Medicineen
dc.identifier.issn1358-863X
dc.identifier.issn1477-0377
dc.identifier.doi10.1177/1358863X16660626
dc.identifier.urihttp://hdl.handle.net/10150/622404
dc.description.abstractAlthough poor walking is the most common symptom of peripheral artery disease (PAD), reported results are inconsistent when comparing gait parameters between PAD patients and healthy controls. This inconsistency may be due to frailty, which is highly prevalent among PAD patients. To address this hypothesis, 41 participants, 17 PAD (74 +/- 8 years) and 24 aged-matched controls (76 +/- 7 years), were recruited. Gait was objectively assessed using validated wearable sensors. Analysis of covariate (ANCOVA) tests were used to compare gait parameters between PAD and non-PAD groups, considering age, gender, and body mass index as covariates, while stratified based on frailty status. According to the Fried frailty index, 47% of PAD and 50% of control participants were non-frail and the rest were classified as pre-frail. Within non-frail participants, gait speed, body sway during walking, stride length, gait cycle time, double-support, knee range of motion, speed variability, mid-swing speed, and gait initiation were significantly different between PAD and control groups (effect size d = 0.75 +/- 0.43). In the pre-frail group, however, most of the gait differences were diminished except for gait initiation and gait variability. Results suggest that gait initiation is the most sensitive parameter for detecting gait impairment in PAD participants when compared to controls, regardless of frailty status (d = 1.30-1.41; p<0.050). The observed interaction effect between frailty and PAD on gait parameters confirms the importance of assessing functionality in addition to age to provide more consistency in detecting motor performance impairments due to PAD.
dc.description.sponsorshipSTTR-Phase II Grant from the National Institute on Aging [2R42AG032748]en
dc.language.isoenen
dc.publisherSAGE PUBLICATIONS LTDen
dc.relation.urlhttp://journals.sagepub.com/doi/10.1177/1358863X16660626en
dc.rights© The Author(s) 2016.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectgait analysisen
dc.subjectpre-frailtyen
dc.subjectperipheral artery diseaseen
dc.titleAlterations in gait parameters with peripheral artery disease: The importance of pre-frailty as a confounding variableen
dc.typeArticleen
dc.contributor.departmentInterdisciplinary Consortium on Advanced Motion Performance (iCAMP), Department of Surgery, University of Arizonaen
dc.contributor.departmentArizona Center on Aging, Department of Medicine, University of Arizonaen
dc.identifier.journalVascular Medicineen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal accepted manuscripten
refterms.dateFOA2018-08-14T06:19:28Z
html.description.abstractAlthough poor walking is the most common symptom of peripheral artery disease (PAD), reported results are inconsistent when comparing gait parameters between PAD patients and healthy controls. This inconsistency may be due to frailty, which is highly prevalent among PAD patients. To address this hypothesis, 41 participants, 17 PAD (74 +/- 8 years) and 24 aged-matched controls (76 +/- 7 years), were recruited. Gait was objectively assessed using validated wearable sensors. Analysis of covariate (ANCOVA) tests were used to compare gait parameters between PAD and non-PAD groups, considering age, gender, and body mass index as covariates, while stratified based on frailty status. According to the Fried frailty index, 47% of PAD and 50% of control participants were non-frail and the rest were classified as pre-frail. Within non-frail participants, gait speed, body sway during walking, stride length, gait cycle time, double-support, knee range of motion, speed variability, mid-swing speed, and gait initiation were significantly different between PAD and control groups (effect size d = 0.75 +/- 0.43). In the pre-frail group, however, most of the gait differences were diminished except for gait initiation and gait variability. Results suggest that gait initiation is the most sensitive parameter for detecting gait impairment in PAD participants when compared to controls, regardless of frailty status (d = 1.30-1.41; p<0.050). The observed interaction effect between frailty and PAD on gait parameters confirms the importance of assessing functionality in addition to age to provide more consistency in detecting motor performance impairments due to PAD.


Files in this item

Thumbnail
Name:
Najafi_Gait_Parameters.pdf
Size:
548.9Kb
Format:
PDF
Description:
Final Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record