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A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults

OBJECTIVES: 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...

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Autores principales: Ward, Rachel E., Beauchamp, Marla K., Latham, Nancy K., Leveille, Suzanne G., Percac-Lima, Sanja, Kurlinski, Laura, Ni, Pengsheng, Goldstein, Richard, Jette, Alan M., Bean, Jonathan F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5179086/
https://www.ncbi.nlm.nih.gov/pubmed/28006024
http://dx.doi.org/10.1371/journal.pone.0169003
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author Ward, Rachel E.
Beauchamp, Marla K.
Latham, Nancy K.
Leveille, Suzanne G.
Percac-Lima, Sanja
Kurlinski, Laura
Ni, Pengsheng
Goldstein, Richard
Jette, Alan M.
Bean, Jonathan F.
author_facet Ward, Rachel E.
Beauchamp, Marla K.
Latham, Nancy K.
Leveille, Suzanne G.
Percac-Lima, Sanja
Kurlinski, Laura
Ni, Pengsheng
Goldstein, Richard
Jette, Alan M.
Bean, Jonathan F.
author_sort Ward, Rachel E.
collection PubMed
description OBJECTIVES: 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.
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spelling pubmed-51790862017-01-04 A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults Ward, Rachel E. Beauchamp, Marla K. Latham, Nancy K. Leveille, Suzanne G. Percac-Lima, Sanja Kurlinski, Laura Ni, Pengsheng Goldstein, Richard Jette, Alan M. Bean, Jonathan F. PLoS One Research Article OBJECTIVES: 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. Public Library of Science 2016-12-22 /pmc/articles/PMC5179086/ /pubmed/28006024 http://dx.doi.org/10.1371/journal.pone.0169003 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Ward, Rachel E.
Beauchamp, Marla K.
Latham, Nancy K.
Leveille, Suzanne G.
Percac-Lima, Sanja
Kurlinski, Laura
Ni, Pengsheng
Goldstein, Richard
Jette, Alan M.
Bean, Jonathan F.
A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults
title A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults
title_full A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults
title_fullStr A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults
title_full_unstemmed A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults
title_short A Novel Approach to Identifying Trajectories of Mobility Change in Older Adults
title_sort novel approach to identifying trajectories of mobility change in older adults
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5179086/
https://www.ncbi.nlm.nih.gov/pubmed/28006024
http://dx.doi.org/10.1371/journal.pone.0169003
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