Evidence map›Paper›PMID 41350517›Full record

ArticleAnnals of biomedical engineering2026

High-Top Shoes Reduce Ankle Inversion Injury Risk: Pressure and Kinematic Analysis during Sudden Inversion.

Jialu Zhang, Taoping Bai, Lin Feng, Jiyang Zhang, Siqi Yang, Ming Zhang, Zhongyou Li, Wentao Jiang

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jialu ZhangSichuan Province Biomechanical Engineering Laboratory, Chengdu, 610065, China.
Taoping BaiSichuan Province Biomechanical Engineering Laboratory, Chengdu, 610065, China.
Lin FengSichuan Province Biomechanical Engineering Laboratory, Chengdu, 610065, China.
Jiyang ZhangSichuan Province Biomechanical Engineering Laboratory, Chengdu, 610065, China.
Siqi YangSichuan Province Biomechanical Engineering Laboratory, Chengdu, 610065, China.
Ming ZhangDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, 999077, China.
Zhongyou LiSichuan Province Biomechanical Engineering Laboratory, Chengdu, 610065, China. zhongyou_li@outlook.com.
Wentao JiangSichuan Province Biomechanical Engineering Laboratory, Chengdu, 610065, China. scubme_jwt@outlook.com.ORCID http://orcid.org/0000-0002-5797-3220

Funding

China Postdoctoral Science Foundation 2024T170616Hong Kong Scholars Program XJ2024014Key Laboratory of Sports and Health Promotion in Hainan Province HNYJZ2023006Natural Science Foundation of Sichuan Province 2024NSFSC1377Project of the National Natural Science Foundation of China 12102281Project of the National Natural Science Foundation of China 12302402Project of the National Natural Science Foundation of China 12472311Research Grants Council, University Grants Committee PolyU 15211322Sichuan Province Major Science and Technology Special Project 2022ZDZX0011
6 · The paper itself

Abstract

purposeThis study aimed to simulate accidental ankle inversion in sports and compare the effects of high-top and low-top shoes on rearfoot kinematics and plantar pressure distribution to understand the ankle protection mechanism of high-top shoes.

methodsEight pairs of shoes (four high-top and four low-top shoes) were custom-made from four brands. The high-top shoes were 3 cm higher than the low-top ones, whereas the rest of their structure remained the same as that of the low-top shoes. Twenty male amateur basketball players (age 19 ± 1 years, height 180 ± 5 cm) participated. An extreme inversion of 30° was simulated using an electromagnetically controlled platform. The rearfoot angles and velocities were recorded using high-speed cameras, and plantar pressure was measured using a three-channel pressure sensor.

resultsHigh-top shoes significantly reduced the peak rearfoot inversion angles (A brand, 7.56%; B brand, 19.61%; C brand, 9.15%; D brand, 8.36%; p < 0.05) and peak angular velocities (A brand, 4.48%; B brand, 14.92%; C brand, 3.67%; D brand, 4.70%; p < 0.05). Peak angular velocity occurred 0.005-0.01 s earlier in high-top shoes. No significant differences were observed in plantar pressure distribution.

conclusionHigh-top shoes reduce ankle inversion range and speed through mechanical support, potentially aided by neuromuscular regulation, thus decreasing the load on lateral ligaments. This study provides evidence for optimizing shoe collar height in sports shoe design and highlights the importance of collar support in reducing the risk of ankle inversion injuries during sports.

Indexed as

Ankle InjuriesShoesAdultBasketballBiomechanical PhenomenaHumansMalePressureYoung AdultAnkle inversionHigh-top shoesKinematicsPlantar pressureProtection mechanism

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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.