Gender differences in gait kinematics for patients with knee osteoarthritis

Simple item page
dc.contributor.authorPhinyomark, Angkoon
dc.contributor.authorOsis, Sean
dc.contributor.authorHettinga, Blayne
dc.contributor.authorKobsar, Dylan
dc.contributor.authorFerber, Reed
dc.date.accessioned2016-04-22T14:41:59Z
dc.date.available2016-04-22T14:41:59Z
dc.date.issued2016-04-01
dc.description.abstractBackground: Females have a two-fold risk of developing knee osteoarthritis (OA) as compared to their male counterparts and atypical walking gait biomechanics are also considered a factor in the aetiology of knee OA. However, few studies have investigated sex-related differences in walking mechanics for patients with knee OA and of those, conflicting results have been reported. Therefore, this study was designed to examine the differences in gait kinematics (1) between male and female subjects with and without knee OA and (2) between healthy gender-matched subjects as compared with their OA counterparts. Methods: One hundred subjects with knee OA (45 males and 55 females) and 43 healthy subjects (18 males and 25 females) participated in this study. Three-dimensional kinematic data were collected during treadmill-walking and analysed using (1) a traditional approach based on discrete variables and (2) a machine learning approach based on principal component analysis (PCA) and support vector machine (SVM) using waveform data. Results: OA and healthy females exhibited significantly greater knee abduction and hip adduction angles compared to their male counterparts. No significant differences were found in any discrete gait kinematic variable between OA and healthy subjects in either the male or female group. Using PCA and SVM approaches, classification accuracies of 98–100 % were found between gender groups as well as between OA groups. Conclusions: These results suggest that care should be taken to account for gender when investigating the biomechanical aetiology of knee OA and that gender-specific analysis and rehabilitation protocols should be developed.en_US
dc.description.refereedYesen_US
dc.description.sponsorshipFunding for this research was provided by Alberta Innovates: Health Solutions (AIHS) Team Osteoarthritis (grant no. 200700596) along with the CIHR Fellowship (grant no. MFE-140882), the AIHS Postgraduate Fellowship (grant no. 201400464), and the Banting Postdoctoral Fellowship Research Allowance provided by the Office of the Vice-President (Research), the University of Calgary. The funders had no role in the study design, collection, analysis and interpretation of data; in the writing of the manuscript; and in the decision to submit the manuscript for publication.en_US
dc.identifier.citationBMC Musculoskelet Disord. 2016 Apr 12;17(1):157. doi: 10.1186/s12891-016-1013-z.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/29056
dc.identifier.urihttp://hdl.handle.net/1880/51155
dc.publisherBMC Musculoskeletal Disordersen_US
dc.publisher.facultyKinesiologyen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.subjectGaiten_US
dc.subjectBiomechanicsen_US
dc.subjectKinematicsen_US
dc.subjectKneeen_US
dc.subjectOsteoarthritisen_US
dc.subjectSex differencesen_US
dc.subjectPrincipal component analysisen_US
dc.subjectSupport vector machineen_US
dc.titleGender differences in gait kinematics for patients with knee osteoarthritisen_US
dc.typejournal article
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Gender differences in knee OA_Phinyomark.pdf
Size:
1.45 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.84 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Kinesiology Research & Publications