Evidence map›Paper›PMID 38959554›Full record

ArticleGait & posture2024

Gait kinematics differ by bout duration and setting.

Mayumi Wagatsuma, Julien A Mihy, Stephen M Cain, Jocelyn F Hafer

Abstract read
In one paragraph

Article in Gait & posture, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Monitoring Gait Recovery After Total Knee Arthroplasty Using Wearable Sensors: Responsiveness of Gait Accelerations.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Observational
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mayumi WagatsumaDepartment of Kinesiology & Applied Physiology, University of Delaware, United States.
Julien A MihyDepartment of Kinesiology & Applied Physiology, University of Delaware, United States.
Stephen M CainDepartment of Chemical and Biomedical Engineering, West Virginia University, United States.
Jocelyn F HaferDepartment of Kinesiology & Applied Physiology, University of Delaware, United States. Electronic address: jfhafer@udel.edu.

Funding

Understanding how age, knee osteoarthritis, and symptoms influence the structure and variance of real-world gait mechanicsR21AG076989 · NIA · UNIVERSITY OF DELAWARE · PI HAFER, JOCELYN FREY · 2022 to 2023
$435k
NIA NIH HHS R21 AG076989
6 · The paper itself

Abstract

backgroundGait kinematics differ between settings and among young and older adults with and without knee osteoarthritis. Out-of-lab data has a variety of walking bout characteristics compared to controlled in-lab settings. The effect of walking bout duration on gait analysis results is unclear, and there is no standardized procedure for segmenting or selecting out-of-lab data for analysis. RESEARCH QUESTION: Do gait kinematics differ by bout duration or setting in young and older adults with and without knee osteoarthritis?

methodsTen young (28.1±3.5 yrs), ten older adults (60.8±3.3 yrs), and ten older adults with knee osteoarthritis (64.1±3.6 yrs) performed a standard in-lab gait analysis followed by a prescribed walking route outside the lab at a comfortable speed with four IMUs. Walking speed, stride length, and sagittal hip, knee, and ankle angular excursion (ROM) were calculated for each identified stride. Out-of-lab strides included straight-line, level walking divided into strides that occurred during long (>60 s) or short (≤60 s) bouts. Gait kinematics were compared between in-lab and both out-of-lab bout durations among groups.

resultsSignificant main effects of setting or duration were found for walking speed and stride length, but there were no significant differences in hip, knee, or ankle joint ROM. Walking speed and stride length were greater in-lab followed by long and short bout out-of-lab. No significant interaction was observed between group and setting or bout duration for any spatiotemporal variables or joint ROMs. SIGNIFICANCE: Out-of-lab gait data can be beneficial in identifying gait characteristics that individuals may not encounter in the traditional lab setting. Setting has an impact on walking kinematics, so comparisons of in-lab and free-living gait may be impacted by the duration of walking bouts. A standardized approach for to analyzing out-of-lab gait data is important for comparing studies and populations.

Indexed as

GaitGait AnalysisOsteoarthritis, KneeAdultAgedAnkle JointBiomechanical PhenomenaFemaleHumansKnee JointMaleMiddle AgedRange of Motion, ArticularTime FactorsWalkingWalking SpeedBout lengthFree-livingInertial measurement unitKnee osteoarthritisOlder adultsReal-world

Identifiers

PMID38959554
PMCPMC11381156

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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.