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Suri A, Rosso AL, VanSwearingen J, et al. Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores. J Gerontol A Biol Sci Med Sci. 2021;76(10):e299-e306doi: 10.1093/gerona/glab151.
Suri, A., Rosso, A. L., VanSwearingen, J., Coffman, L. M., Redfern, M. S., Brach, J. S., & Sejdić, E. (2021). Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores. The journals of gerontology. Series A, Biological sciences and medical sciences, 76(10), e299-e306. https://doi.org/10.1093/gerona/glab151
Suri, Anisha, et al. "Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores." The journals of gerontology. Series A, Biological sciences and medical sciences vol. 76,10 (2021): e299-e306. doi: https://doi.org/10.1093/gerona/glab151
Suri A, Rosso AL, VanSwearingen J, Coffman LM, Redfern MS, Brach JS, Sejdić E. Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores. J Gerontol A Biol Sci Med Sci. 2021 Sep 13;76(10):e299-e306. doi: 10.1093/gerona/glab151. PMID: 34038537; PMCID: PMC8436978.
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J Gerontol A Biol Sci Med Sci. 2021 Sep 13;76(10):e299-e306. doi: 10.1093/gerona/glab151.

Mobility of Older Adults: Gait Quality Measures Are Associated With Life-Space Assessment Scores.

The journals of gerontology. Series A, Biological sciences and medical sciences

Anisha Suri, Andrea L Rosso, Jessie VanSwearingen, Leslie M Coffman, Mark S Redfern, Jennifer S Brach, Ervin Sejdić

Affiliations

  1. Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pennsylvania, USA.
  2. Department of Epidemiology, School of Public Health, University of Pittsburgh, Pennsylvania, USA.
  3. Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pennsylvania, USA.
  4. Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pennsylvania, USA.

PMID: 34038537 PMCID: PMC8436978 DOI: 10.1093/gerona/glab151

Abstract

BACKGROUND: The relation of gait quality to real-life mobility among older adults is poorly understood. This study examined the association between gait quality, consisting of step variability, smoothness, regularity, symmetry, and gait speed, and the Life-Space Assessment (LSA).

METHOD: In community-dwelling older adults (N = 232, age 77.5 ± 6.6, 65% females), gait quality was derived from (i) an instrumented walkway: gait speed, variability, and walk ratio and (ii) accelerometer: signal variability, smoothness, regularity, symmetry, and time-frequency spatiotemporal variables during 6-minute walk. In addition to collecting LSA scores, cognitive functioning, walking confidence, and falls were recorded. Spearman correlations (speed as covariate) and random forest regression were used to assess associations between gait quality and LSA, and Gaussian mixture modeling (GMM) was used to cluster participants.

RESULTS: Spearman correlations of ρ p = .11 (signal amplitude variability mediolateral [ML] axis), ρ p = .15 and ρ p = -.13 (symmetry anterior-posterior-vertical [AP-V] and ML-AP axes, respectively), ρ p = .16 (power V), and ρ = .26 (speed), all p <.05 and marginally related, ρ p = -.12 (regularity V), ρ p = .11 (smoothness AP), and ρ p = -.11 (step-time variability), all p <.1, were obtained. The cross-validated random forest model indicated good-fit LSA prediction error of 17.77; gait and cognition were greater contributors than age and gender. GMM indicated 2 clusters. Group 1 (n = 189) had better gait quality than group 2 (n = 43): greater smoothness AP (2.94 ± 0.75 vs 2.30 ± 0.71); greater similarity AP-V (.58 ± .13 vs .40 ± .19); lower regularity V (0.83 ± 0.08 vs 0.87 ± 0.10); greater power V (1.86 ± 0.18 vs 0.97 ± 1.84); greater speed (1.09 ± 0.16 vs 1.00 ± 0.16 m/s); lower step-time coefficient of variation (3.70 ± 1.09 vs 5.09 ± 2.37), and better LSA (76 ± 18 vs 67 ± 18), padjusted < .004.

CONCLUSIONS: Gait quality measures taken in the clinic are associated with real-life mobility in the community.

© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: [email protected].

Keywords: Community mobility; Gait accelerometry; Gaussian mixture model; Walkway gait analysis system; random forest regressor

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