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dc.contributor.authorWard, Rachel E.en_US
dc.contributor.authorBeauchamp, Marla K.en_US
dc.contributor.authorLatham, Nancy K.en_US
dc.contributor.authorLeveille, Suzanne G.en_US
dc.contributor.authorPercac-Lima, Sanjaen_US
dc.contributor.authorKurlinski, Lauraen_US
dc.contributor.authorNi, Pengshengen_US
dc.contributor.authorGoldstein, Richarden_US
dc.contributor.authorJette, Alan M.en_US
dc.contributor.authorBean, Jonathan F.en_US
dc.date.accessioned2017-02-18T01:58:21Z
dc.date.issued2016en_US
dc.identifier.citationWard, Rachel E., Marla K. Beauchamp, Nancy K. Latham, Suzanne G. Leveille, Sanja Percac-Lima, Laura Kurlinski, Pengsheng Ni, Richard Goldstein, Alan M. Jette, and Jonathan F. Bean. 2016. “A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults.” PLoS ONE 11 (12): e0169003. doi:10.1371/journal.pone.0169003. http://dx.doi.org/10.1371/journal.pone.0169003.en
dc.identifier.issn1932-6203en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:30370999
dc.description.abstractObjectives: To validate trajectories of late-life mobility change using a novel approach designed to overcome the constraints of modest sample size and few follow-up time points. Methods: Using clinical reasoning and distribution-based methodology, we identified trajectories of mobility change (Late Life Function and Disability Instrument) across 2 years in 391 participants age ≥65 years from a prospective cohort study designed to identify modifiable impairments predictive of mobility in late-life. We validated our approach using model fit indices and comparing baseline mobility-related factors between trajectories. Results: Model fit indices confirmed that the optimal number of trajectories were between 4 and 6. Mobility-related factors varied across trajectories with the most unfavorable values in poor mobility trajectories and the most favorable in high mobility trajectories. These factors included leg strength, trunk extension endurance, knee flexion range of motion, limb velocity, physical performance measures, and the number and prevalence of medical conditions including osteoarthritis and back pain. Conclusions: Our findings support the validity of this approach and may facilitate the investigation of a broader scope of research questions within aging populations of varied sizes and traits.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0169003en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5179086/pdf/en
dash.licenseLAAen_US
dc.subjectPeople and Placesen
dc.subjectPopulation Groupingsen
dc.subjectAge Groupsen
dc.subjectElderlyen
dc.subjectBiology and Life Sciencesen
dc.subjectAnatomyen
dc.subjectMusculoskeletal Systemen
dc.subjectLimbs (Anatomy)en
dc.subjectLegsen
dc.subjectMedicine and Health Sciencesen
dc.subjectKneesen
dc.subjectGeriatricsen
dc.subjectGeriatric Rehabilitationen
dc.subjectRehabilitation Medicineen
dc.subjectPhysical Sciencesen
dc.subjectPhysicsen
dc.subjectClassical Mechanicsen
dc.subjectMotionen
dc.subjectVelocityen
dc.subjectRheumatologyen
dc.subjectArthritisen
dc.subjectOsteoarthritisen
dc.titleA Novel Approach to Identifying Trajectories of Mobility Change in Older Adultsen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dash.depositing.authorWard, Rachel E.en_US
dc.date.available2017-02-18T01:58:21Z
dc.identifier.doi10.1371/journal.pone.0169003*
dash.contributor.affiliatedWard, Rachel
dash.contributor.affiliatedPercac-Lima, Sanja
dash.contributor.affiliatedBean, Jonathan
dash.contributor.affiliatedLeveille, Suzanne


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