Evidence map›Paper›PMID 40776934›Full record

ArticleFrontiers in aging2025

Age-related gait adaptations: analysis of temporal gait parameters and variability, and muscle activation across flat vs. uneven surfaces in young, middle-aged, and older adults.

Thomas B Inns, Ilaria Pina, Lewis James Macgregor, Paul A Dudchenko, Rachel A Crockett, Angus Murray Hunter

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Article in Frontiers in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

6 authors.

Thomas B InnsDepartment of Sport Science, Nottingham Trent University, Nottingham, United Kingdom.
Ilaria PinaFaculty of Natural Sciences, University of Stirling, Stirling, United Kingdom.
Lewis James MacgregorFaculty of Health Sciences and Sport, University of Stirling, Stirling, United Kingdom.
Paul A DudchenkoFaculty of Natural Sciences, University of Stirling, Stirling, United Kingdom.
Rachel A CrockettFaculty of Natural Sciences, University of Stirling, Stirling, United Kingdom.
Angus Murray HunterDepartment of Sport Science, Nottingham Trent University, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Walking is a common physical activity among older adults, but it becomes more complex with age due to increased demands on motor control and attention, particularly when walking surface is uneven. Age-related changes in walking gait, especially after 70, can lead to restricted mobility and higher mortality risk. This study investigated age-related differences in gait parameters and muscle activation across young (18-39 years), middle-aged (40-59 years), and older adults (60+ years) on flat and uneven surfaces. Methods: Eighty-three healthy adults participated in the study. Variability in double support, stance, swing, and stride times; and muscle activity were assessed during walking on both surface types and used as dependent variables. Results: Analysis showed that older adults adopted a more cautious walking strategy, characterized by longer double support and shorter swing phases, regardless of the surface. Muscle activation patterns indicated increased demands on the plantar flexors and knee extensors in older adults. Walking on uneven surfaces increased gait variability across all age groups. Conclusion: These findings highlight age-specific walking adaptations related to muscle activation. Understanding these adaptations is crucial for developing targeted interventions to enhance walking performance and reduce fall risks, especially in older adults. The study underscores the importance of assessing gait under various conditions to comprehensively capture age-related differences.

Indexed as

ageinggaitneuromuscularuneven surfaceswalking

Identifiers

PMID40776934
PMCPMC12328294

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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.