Evidence map›Paper›PMID 42306129›Full record

ArticleFrontiers in sports and active living2026

Running gait kinematics are reproducible at the beginning and end of two different intensity, energy expenditure matched runs, using either discrete points or functional data analysis.

Sherveen Riazati, Nick Caplan, Philip R Hayes

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sherveen RiazatiDepartment of Sport and Exercise Sciences, School of Life Sciences, Northumbria University, Newcastle-upon-Tyne, United Kingdom.
Nick CaplanDepartment of Sport and Exercise Sciences, School of Life Sciences, Northumbria University, Newcastle-upon-Tyne, United Kingdom.
Philip R HayesDepartment of Sport and Exercise Sciences, School of Life Sciences, Northumbria University, Newcastle-upon-Tyne, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aims of this study were to examine reliability of treadmill running kinematics: i) during two different intensity, energy expenditure matched, runs ii) at two time points within each run iii) using two different methods of statistical analysis. Methods: Twenty healthy club distance runners performed two high intensity interval runs (HIIT) and two medium intensity continuous runs (MICR). Kinematics during ground contact were analysed in all three planes of motion at the ankle, knee, and hip. Maximum angle and range of motion were identified and for Functional Data Analysis (FDA) all of the collected data was utilised. Reliability was established from both discrete points and FDA using intraclass correlation coefficient (ICC), standard error of measurement (SEM) and minimum detectable change (MDC). In addition, coefficient of variation (CV) was calculated for discrete points, however, this was not possible for FDA. Results: Both discrete point analysis and FDA showed acceptable reliability in all three planes of motion. Only three variables produced SEM values higher than 5.0 degrees while ICC values ranged from poor to excellent. Discussion: There were no differences in reliability between the start and end of the runs for HIIT or MICR. Gait kinematics during treadmill running were reliable across intensities, run type and time frames.

Indexed as

functional data analysisgaitHIITkinematicsreproducibilityrunningrunning gait

Identifiers

PMID42306129
PMCPMC13267106

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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.