14 research outputs found
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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 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
Mild Cognitive Impairment Status and Mobility Performance:An Analysis From the Boston RISE Study
BACKGROUND. The prevalence of mild cognitive impairment (MCI) and mobility limitations is high among older adults. The aim of this study was to investigate the association between MCI status and both performance-based and self-report measures of mobility in community-dwelling older adults. METHODS. An analysis was conducted on baseline data from the Boston Rehabilitative Impairment Study in the Elderly study, a cohort study of 430 primary care patients aged 65 or older. Neuropsychological tests identified participants with MCI and further subclassified those with impairment in memory domains (aMCI), nonmemory domains (naMCI), and multiple domains (mdMCI). Linear regression models were used to assess the association between MCI status and mobility performance in the Habitual Gait Speed, Figure of 8 Walk, Short Physical Performance Battery, and self-reported Late Life Function and Disability Instrument’s Basic Lower Extremity and Advanced Lower Extremity function scales. RESULTS. Participants had a mean age of 76.6 years, and 42% were characterized with MCI. Participants with MCI performed significantly worse than participants without MCI (No-MCI) on all performance and self-report measures (p < .01). All MCI subtypes performed significantly worse than No-MCI on all mobility measures (p < .05) except for aMCI versus No-MCI on the Figure of 8 Walk (p = .054) and Basic Lower Extremity (p = .11). Moreover, compared with aMCI, mdMCI manifested worse performance on the Figure of 8 Walk and Short Physical Performance Battery, and naMCI manifested worse performance on Short Physical Performance Battery and Basic Lower Extremity. CONCLUSIONS. Among older community-dwelling primary care patients, performance on a broad range of mobility measures was worse among those with MCI, appearing poorest among those with nonmemory MCI
Leg and Trunk Impairments Predict Participation in Life Roles in Older Adults: Results From Boston RISE
Baseline health and function by ALE mobility trajectory over 2 year follow-up (N = 391).
<p>Baseline health and function by ALE mobility trajectory over 2 year follow-up (N = 391).</p
Baseline characteristics by ALE mobility trajectory over 2 year follow-up (N = 391).
<p>Baseline characteristics by ALE mobility trajectory over 2 year follow-up (N = 391).</p
Mean mobility scores by ALE and BLE mobility trajectory from baseline through year 2 (N = 391).
<p>ALE = Advanced Lower-Extremity Function; BLE = Basic Lower-Extremity Function.</p
Baseline characteristics by BLE mobility trajectory over 2 year follow-up (N = 391).
<p>Baseline characteristics by BLE mobility trajectory over 2 year follow-up (N = 391).</p
Baseline prevalence of self-reported chronic diseases by BLE mobility trajectory (N = 391).
<p>*p<0.01, †p<0.001 for comparisons with Persistently High. ‡p<0.01, §p<0.001 for comparisons with Persistently Poor. BLE = Basic Lower-Extremity Function; OA = Osteoarthritis; PAD = Peripheral Artery Disease.</p