Smartphone-Based Gait and Balance Accelerometry Is Sensitive to Age and Correlates With Clinical and Kinematic Data

aut.relation.endpage64
aut.relation.journalGait & Posture
aut.relation.startpage57
aut.relation.volume100
dc.contributor.authorOlsen, Sharon
dc.contributor.authorRashid, Usman
dc.contributor.authorAllerby, Celia
dc.contributor.authorBrown, Eliza
dc.contributor.authorLeyser, Michaela
dc.contributor.authorMcDonnell, Gabrielle
dc.contributor.authorAlder, Gemma
dc.contributor.authorBarbado, David
dc.contributor.authorShaikh, Nusratnaaz
dc.contributor.authorLord, Susan
dc.contributor.authorNiazi, Imran Khan
dc.contributor.authorTaylor, Denise
dc.date.accessioned2023-05-30T02:14:38Z
dc.date.available2023-05-30T02:14:38Z
dc.date.issued2022-11-28
dc.description.abstractBackground: The Gait&Balance (G&B) App has produced valid and reliable measures of gait and balance in young healthy adults but has not been tested in older adults. Research question: In healthy middle-to-older aged adults, are G&B App measurements sensitive to age, valid against clinical and kinematic measures, and reliable? Method: Healthy participants (n = 34, 14 male, 42–94 years) completed the G&B App protocol three times within a single session. 3D kinematics were collected concurrently. Clinical balance measures were collected (Modified Clinical Test of Sensory Interaction in Balance (mCTSIB), Mini Balance Evaluation Systems Test (MBT), and Functional Gait Assessment (FGA)). Sensitivity to age was assessed with Pearson's correlations. Validity tests included Pearson's correlations and Bland-Altman limits of agreement. Reliability tests included intra-class correlation coefficients and standard error of the measure. Results: During quiet stance on a compliant surface, the G&B App was sensitive to age-related differences not detectable with the mCTSIB. During walking tasks, there was adequate convergent validity between the MBT and G&B App measures of step length, and between the FGA and G&B App measures of walking speed, step length, and periodicity. The G&B App had moderate-to-excellent validity against 3D kinematics for postural stability during quiet stance (r 0.98 [0.98, 0.99]), step time (r 0.97 [0.96, 0.98]), walking speed (r 0.79 [0.7, 0.86]), and step length (r 0.73 [0.61, 0.81]). Test-retest reliability was moderate-to-excellent for G&B App measures of postural stability, walking speed, periodicity, step length, and step time. G&B App measures of step length asymmetry, step length variability, step time asymmetry, and step time variability had poor validity and reliability. Significance: The G&B App was sensitive to age-related differences in balance not detectable with clinical measurement. It provides valid and reliable measures of postural stability, step length, step time, and periodicity, which are not currently available in standard practice.
dc.identifier.citationGait & Posture, ISSN: 0966-6362 (Print); 1879-2219 (Online), Elsevier, 100, 57-64. doi: 10.1016/j.gaitpost.2022.11.014
dc.identifier.doi10.1016/j.gaitpost.2022.11.014
dc.identifier.issn0966-6362
dc.identifier.issn1879-2219
dc.identifier.urihttps://hdl.handle.net/10292/16192
dc.languageeng
dc.publisherElsevier
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0966636222006440
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAccelerometer
dc.subjectBalance
dc.subjectGait
dc.subjectGait&Balance App
dc.subjectSmartphone
dc.subjectValidity
dc.subject4201 Allied Health and Rehabilitation Science
dc.subject42 Health Sciences
dc.subject4207 Sports Science and Exercise
dc.subjectRehabilitation
dc.subjectNeurosciences
dc.subjectAging
dc.subjectClinical Research
dc.subject4.2 Evaluation of markers and technologies
dc.subject4 Detection, screening and diagnosis
dc.subject0913 Mechanical Engineering
dc.subject1103 Clinical Sciences
dc.subject1106 Human Movement and Sports Sciences
dc.subjectOrthopedics
dc.subject4003 Biomedical engineering
dc.subject4201 Allied health and rehabilitation science
dc.subject4207 Sports science and exercise
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshAdult
dc.subject.meshMiddle Aged
dc.subject.meshAged
dc.subject.meshSmartphone
dc.subject.meshBiomechanical Phenomena
dc.subject.meshReproducibility of Results
dc.subject.meshGait
dc.subject.meshWalking
dc.subject.meshAccelerometry
dc.subject.meshPostural Balance
dc.subject.meshHumans
dc.subject.meshGait
dc.subject.meshWalking
dc.subject.meshReproducibility of Results
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshMiddle Aged
dc.subject.meshMale
dc.subject.meshPostural Balance
dc.subject.meshAccelerometry
dc.subject.meshBiomechanical Phenomena
dc.subject.meshSmartphone
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshAdult
dc.subject.meshMiddle Aged
dc.subject.meshAged
dc.subject.meshSmartphone
dc.subject.meshBiomechanical Phenomena
dc.subject.meshReproducibility of Results
dc.subject.meshGait
dc.subject.meshWalking
dc.subject.meshAccelerometry
dc.subject.meshPostural Balance
dc.titleSmartphone-Based Gait and Balance Accelerometry Is Sensitive to Age and Correlates With Clinical and Kinematic Data
dc.typeJournal Article
pubs.elements-id478159
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