Dataset Information

Associations between quantitative mobility measures derived from components of conventional mobility testing and Parkinsonian gait in older adults.

ABSTRACT:

Objective

To provide objective measures which characterize mobility in older adults assessed in the community setting and to examine the extent to which these measures are associated with parkinsonian gait.

Methods

During conventional mobility testing in the community-setting, 351 ambulatory non-demented Memory and Aging Project participants wore a belt with a whole body sensor that recorded both acceleration and angular velocity in 3 directions. We used measures derived from these recordings to quantify 5 subtasks including a) walking, b) transition from sit to stand, c) transition from stand to sit, d) turning and e) standing posture. Parkinsonian gait and other mild parkinsonian signs were assessed with a modified version of the original Unified Parkinson's Disease Rating Scale (mUPDRS).

Results

In a series of separate regression models which adjusted for age and sex, all 5 mobility subtask measures were associated with parkinsonian gait and accounted for 2% to 32% of its variance. When all 5 subtask measures were considered in a single model, backward elimination showed that measures of walking sit to stand and turning showed independent associations with parkinsonian gait and together accounted for more than 35% of its variance. Cross-validation using data from a 2(nd) group of 258 older adults showed similar results. In similar analyses, only walking was associated with bradykinesia and sway with tremor.

Interpretation

Quantitative mobility subtask measures vary in their associations with parkinsonian gait scores and other parkinsonian signs in older adults. Quantifying the different facets of mobility has the potential to facilitate the clinical characterization and understanding the biologic basis for impaired mobility in older adults.

SUBMITTER: Buchman AS

PROVIDER: S-EPMC3899223 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Associations between quantitative mobility measures derived from components of conventional mobility testing and Parkinsonian gait in older adults.

Buchman Aron S AS Leurgans Sue E SE Weiss Aner A Vanderhorst Veronique V Mirelman Anat A Dawe Robert R Barnes Lisa L LL Wilson Robert S RS Hausdorff Jeffrey M JM Bennett David A DA

PloS one 20140122 1

<h4>Objective</h4>To provide objective measures which characterize mobility in older adults assessed in the community setting and to examine the extent to which these measures are associated with parkinsonian gait.<h4>Methods</h4>During conventional mobility testing in the community-setting, 351 ambulatory non-demented Memory and Aging Project participants wore a belt with a whole body sensor that recorded both acceleration and angular velocity in 3 directions. We used measures derived from thes ...[more]

PMID: 24465997

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Project description:BackgroundMobility is a key indicator of physical functioning in older people, but there is limited evidence of the reliability of mobility measures in older people with cognitive impairment. This study aimed to examine the test-retest reliability and measurement error of common measurement instruments of mobility and physical functioning in older patients with dementia, delirium or other cognitive impairment.MethodsA cross-sectional study was performed in a geriatric hospital. Older acute medical patients with cognitive impairment, indicated by a Mini-Mental State Examination (MMSE) score of ?24 points, were assessed twice within 1 day by a trained physiotherapist. The following instruments were applied: de Morton Mobility Index, Hierarchical Assessment of Balance and Mobility, Performance-Oriented Mobility Assessment, Short Physical Performance Battery, 4-m gait speed, 5-times chair rise test, 2-min walk test, timed up and go test, Barthel Index mobility subscale and Functional Ambulation Categories. As appropriate, the intraclass correlation coefficient (ICC), Cohen's kappa, standard error of measurement, limits of agreement and minimal detectable change (MDC) values were estimated.ResultsSixty-five older acute medical patients with cognitive impairment participated in the study (mean age: 82?±?7?years; mean MMSE: 20?±?4, range: 10 to 24 points). Some participants were physically or cognitively unable to perform the gait speed (46%), 2-min walk (46%), timed up and go (51%) and chair rise (75%) tests. ICC and kappa values were above 0.9 in all instruments except for the gait speed (ICC?=?0.86) and chair rise (ICC?=?0.72) measures. Measurement error is reported for each instrument. The absolute limits of agreement ranged from 11% (de Morton Mobility Index and Hierarchical Assessment of Balance and Mobility) to 35% (chair rise test).ConclusionsThe test-retest reliability is sufficient (>?0.7) for group-comparisons in all examined instruments. Most mobility measurements have limited use for individual monitoring of mobility over time in older hospital patients with cognitive impairment because of the large measurement error (>?20% of scale width), even though relative reliability estimations seem sufficient (>?0.9) for this purpose.Trial registrationGerman Clinical Trials Register ( DRKS00005591 ). Registered 2 February 2015.

Project description:Background: Recent studies associated gait patterns with cognitive impairment stages. The current study examined the relation between dementia type and spatiotemporal gait characteristics under different walking conditions in pre and mild neurocognitive disorder stage. Methods: Community-dwelling older adults (age 50+) with memory complaints consulting a memory clinic underwent, at baseline and during follow-up (every 4 months), a standard dementia assessment and a comprehensive spatiotemporal gait analysis [walking on an electronic walkway at usual pace (UP) with and without a counting-backwards (CW) or animal-reciting dual-task (AW), at fast (FP) and at slow (SP) pace]. At baseline the participants were categorized according to the Clinical Dementia Rating (CDR) scale. At the end of the study, the dementia diagnosis was used to stratify the categories in three outcome groups: developed "No-dementia," "AD+FTD" (grouping Alzheimer's or Fronto-temporal dementia) or "VascD+LBD" dementia (grouping Vascular dementia or Lewy body dementia). The gait characteristics were compared per category in paired groups. Sub-analyzing in the ≥70-years-old participants evaluated the age effect. Results: Five hundred and thirty-six participants, age 50-to-95-years old were followed for 31-to-41 months. In the CDR 0, no differences were seen between eventual dementia and no-dementia individuals. In the CDR 0.5, CW dual task cost (DTC) step width was larger in the imminent "AD+FTD" and AW (normalized) gait speed was slower in the future "VascD+LBD" group compared to the no-dementia participants. Slower UP (normalized) gait speed differed the future "VascD+LBD" from the "AD+FTD" individuals. In the CDR 1: Wider steps in UP, SP and CW differed the "VascD+LBD" from the "AD+FTD" group. In the ≥70-years old CDR 0 category, higher AW cycle time variability in the imminent "AD+FTD" dementia group, wider UP step width and higher AW cycle time variability in the "VascD+LBD" group differed them from the no-dementia group up to 3 years before dementia diagnosis. The distinctive gait characteristics between the no-dementia and the imminent dementia groups in CDR 0.5 and CDR 1 remained the same as in the overall group. However, no gait differences were found between "VascD+LBD" and "AD+FTD" groups in the pre-dementia stages. Conclusion: Distinctive spatiotemporal gait characteristics were associated with specific dementia types up to 3 years before diagnosis. The association is influenced by the cognitive stage and age.

Dataset Information

Associations between quantitative mobility measures derived from components of conventional mobility testing and Parkinsonian gait in older adults.

Objective

Methods

Results

Interpretation

Publications

Associations between quantitative mobility measures derived from components of conventional mobility testing and Parkinsonian gait in older adults.

Similar Datasets

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