Evidence map›Paper›PMID 41810458›Full record

ReviewFrontiers in sports and active living2026

Biomechanical differences between novice and experienced runners: a systematic review.

Haisheng Shen, Zisheng Jin, Zihui Ma, Hongying Wang

Abstract readReview
In one paragraph

Review 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Haisheng ShenSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Zisheng JinSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Zihui MaSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Hongying WangSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Running offers substantial physical and psychological health benefits, however, novice runners experience a markedly higher incidence of running-related injuries than experienced runners. Differences in biomechanical characteristics between these groups contributed to this elevated risk, but findings remain inconsistent and need to be synthesized. This study aims to synthesize evidence on biomechanical differences between novice and experienced runners. Methods: A systematic search was conducted to identify studies published between 2004 and December 2025. Fourteen eligible studies ( Results: Included studies consistently reported that novice runners exhibited greater spatiotemporal variability, larger joint ranges of motion along with weaker proximal muscle control, poorer coordination, and lower dynamic stability compared with experienced runners. However, inconsistencies were observed in knee kinematic findings, particularly in knee flexion-extension and ankle motion patterns. Conclusions: Novice runners exhibit less stable and less coordinated gait patterns, reflecting reduced neuromuscular control and higher injury susceptibility. Standardized, multidimensional definitions of running experience and more rigorous biomechanical protocols are needed to clarify these mechanisms and guide targeted injury-prevention strategies. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=607126, identifier CRD42024607126.

Indexed as

dynamic stabilitygait variabilityinjury risk factorkinematicskineticsnovice runnersproximal control/coordinationrunning experience

Identifiers

PMID41810458
PMCPMC12968214

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.