Evidence map›Paper›PMID 34038537›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

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

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

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  2. The Association of Mobility Determinants and Life Space Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Anisha SuriDepartment of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-5308-2079
Andrea L RossoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pennsylvania, USA.
Jessie VanSwearingenDepartment of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pennsylvania, USA.
Leslie M CoffmanDepartment of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pennsylvania, USA.
Mark S RedfernDepartment of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pennsylvania, USA.
Jennifer S BrachDepartment of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pennsylvania, USA.
Ervin SejdićDepartment of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pennsylvania, USA.

Funding

Task Specific Timing and Coordination Exercises to Improve Mobility in Older AdultsR01AG045252 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRACH, JENNIFER S · 2015 to 2019
$2.7M
Restoring Central Motor Control to Improve Community Mobility of Older AdultsR01AG057671 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2018 to 2021
$2.5M
MIDCAREER INVESTIGATOR AWARD IN TRANSLATIONAL PATIENT-ORIENTED RESEARCH IN AGINGK24AG057728 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRACH, JENNIFER S · 2018 to 2022
$658k
Environmental Challenges and the Aging Brain: Implications for Community MobilityK01AG053431 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2016 to 2020
$509k
NIA NIH HHS K01 AG053431NIA NIH HHS K24 AG057728NIA NIH HHS R01 AG045252NIA NIH HHS R01 AG057671NIH HHS R01 AG045252
6 · The paper itself

Abstract

backgroundThe 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).

methodIn 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.

resultsSpearman 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.

conclusionsGait quality measures taken in the clinic are associated with real-life mobility in the community.

Indexed as

GaitQuality Indicators, Health CareAccidental FallsAgedAged, 80 and overFemaleHumansMaleWalkingWalking SpeedCommunity mobilityGait accelerometryGaussian mixture modelrandom forest regressorWalkway gait analysis system

Identifiers

PMID34038537
PMCPMC8436978

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.