Evidence map›Paper›PMID 41466003›Full record

Observational studyMedicine2025

Altered gait patterns exacerbate knee injury risk: A cross-sectional observational study of barefoot and high-heeled walking.

Na Liu, Zhengbin Li, Yuhui Su

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2025. 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

3 authors.

Na LiuSchool of Sports and Human Science, Jilin Sport University, Changchun, China.ORCID 0009-0000-8371-3708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearing high heels may adversely affect lower limb biomechanics and increase the risk of knee injury in women. This study aims to investigate gait kinematics and kinetics associated with barefoot and high-heeled walking and evaluate whether wearing high heels increases knee joint loading and alters joint stress patterns in healthy female college students. Twelve healthy female college students participated in this cross-sectional study. A Vicon motion capture system (Vicon, Oxford, UK) and AMTI force platforms (Advanced Mechanical Technology Inc., Watertown) were used to collect synchronized kinematic and kinetic data under 2 walking conditions (barefoot and high heels). Data collection was conducted between March and May 2025. Three-dimensional knee moments were calculated using inverse dynamics based on individual anthropometrics. Paired t tests were used to compare differences between conditions. Compared with barefoot walking, high heels significantly increased hip flexion and ankle plantarflexion angles, and reduced knee flexion during stance (P < .05). At toe-off, hip extension and ankle plantarflexion were also elevated. Kinetic results showed significant differences in peak flexion moment 1, adduction moments 1 and 2, and external rotation (P < .05), while peak extension moment 2 showed no difference. High heels altered the timing of adduction, internal, and external rotation peaks. Patellofemoral joint stress was significantly higher in the high-heeled condition (P < .05). High-heeled walking alters lower limb joint angles, knee moment characteristics, and increases patellofemoral joint stress in young women, suggesting a higher risk of knee injury compared with barefoot walking.

Indexed as

GaitKnee InjuriesShoesWalkingAdultBiomechanical PhenomenaCross-Sectional StudiesFemaleHumansKnee JointRange of Motion, ArticularYoung Adultbiomechanicsgaithigh heelsknee injurypatellofemoral joint forcewomen

Identifiers

PMID41466003
PMCPMC12746947

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.