Evidence map›Paper›PMID 36038832›Full record

ArticleBMC geriatrics2022

Reference values of gait characteristics in community-dwelling older persons with different physical functional levels.

Ulrike Dapp, Dominic Vinyard, Stefan Golgert, Sebastian Krumpoch, Ellen Freiberger

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  11. Abnormal activity in the brainstem affects gait in a neuromusculoskeletal model.Journal of neuroengineering and rehabilitation · 2025
    Article
  12. The effect of exercise-induced muscle fatigue on gait parameters among older adults: a systematic review and meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Review
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  14. The Effects of Real-Time Haptic Feedback on Gait and Cognitive Load in Older Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ulrike DappScientific Department at the University of Hamburg, Albertinen-Haus Geriatrics Center, Sellhopsweg 18-22, 22459, Hamburg, Germany. ulrike.dapp@immanuelalbertinen.de.
Dominic VinyardScientific Department at the University of Hamburg, Albertinen-Haus Geriatrics Center, Sellhopsweg 18-22, 22459, Hamburg, Germany.
Stefan GolgertScientific Department at the University of Hamburg, Albertinen-Haus Geriatrics Center, Sellhopsweg 18-22, 22459, Hamburg, Germany.
Sebastian KrumpochInstitute for Biomedicine of Aging (IBA), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Kobergerstr. 60, 90408, Nürnberg, Germany.
Ellen FreibergerInstitute for Biomedicine of Aging (IBA), Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Kobergerstr. 60, 90408, Nürnberg, Germany. ellen.freiberger@fau.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobility is one major component of healthy ageing of older persons. It includes gait speed, nowadays valued as the sixth vital sign of ageing. Quantitative gait analysis can support clinical diagnostics, monitor progression of diseases and provide information about the efficacy of interventions. Fast gait speed is an additional marker in the area of functional ability. Our aim was to contribute reference values of gait parameters of older persons based on their functional ability.

methodsWe visualised and combined three different established frameworks that assess gait characteristics into a new framework based approach that comprises eight gait parameters: gait speed, stride length, walk ratio, single and double support time, step width, step width CV (coefficient of variance), stride length CV. Gait parameters were stratified by two instruments that indicate levels of functional ability: First, the LUCAS Functional Ability Index (FAI), a self-administered screening tool easy to apply to a public-health orientated approach and second the Short Physical Performance Battery (SPPB), an established performance test widely used in comprehensive geriatric assessments (CGA). Gait parameters of older community-dwelling persons were measured with an objective Gait system (GAITRite) across differing functional ability ranging from robust to transient (postrobust and prefrail) to frail physical status.

resultsOf 642 community-dwelling participants (age 78.5 ± 4.8; n = 233 male, n = 409 female) categorisations by SPPB were 27.1% for robust (11-12 points), 44.2% for transient (8-10 points), 28.7% for frail (0-7 points), and 16.2, 50.3, 33.5% for robust, transient, frail by LUCAS FAI. Overall, our results showed that distinction by functional level only uncovers a wide spectrum of functional decline for all investigated gait parameters. Stratification by functional ability (biological age) revealed a greater range of differentiation than chronological age.

conclusionsGait parameters, carefully selected by literature, showed clinically meaningful differences between the functional featuring a gradient declining from robust over transient to frail in most gait parameters. We found discriminative power of stratifications by SPPB to be the highest, closely followed by LUCAS FAI, age groups and dichotomous age making the application of the LUCAS FAI more cost and time effective than conducting SPPB.

Indexed as

GaitIndependent LivingAgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentHumansMaleReference ValuesWalkingAgedFrailtyGait characteristics; community-dwellingPhysical functionPopulation-basedPreventionReference valuesSpatiotemporal gait parameters

Identifiers

PMID36038832
PMCPMC9422159

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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.