Evidence map›Paper›PMID 39502547›Full record

ArticleInternational journal of sports physical therapy2024

Agreement between 2D Visual- and 3D Motion Capture-based Assessment of Foot Strike Pattern.

Haruhiko Goto, Toshinao Kamikubo, Ryota Yamamoto, Toshiharu Tsutsui, Suguru Torii

Abstract read
In one paragraph

Article in International journal of sports physical therapy, 2024. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haruhiko GotoDepartment of Sports Sciences Japan Institute of Sports Sciences.
Toshinao KamikuboGraduate School of Sport Sciences Waseda University.
Ryota YamamotoGraduate School of Sport Sciences Waseda University.
Toshiharu TsutsuiFaculty of Sport Sciences Waseda University.
Suguru ToriiFaculty of Sport Sciences Waseda University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Foot strike patterns during running are typically categorized into two types: non-rearfoot strike (NRFS) and rearfoot strike (RFS), or as three distinct types: forefoot strike (FFS), midfoot strike (MFS), and RFS, based on which part of the foot lands first. Various methods, including two-dimensional (2D) visual-based methods and three-dimensional (3D) motion capture-based methods utilizing parameters such as the strike index (SI) or strike angle (SA), have been employed to assess these patterns. However, the consistency between the results obtained from each method remains debatable. Hypothesis/Purpose: The purpose of this study was to examine the agreement for assessing foot strike patterns into two (NRFS and RFS) or three types (FFS, MFS, and RFS) between 2D visual- and 3D motion capture-based methods. The authors hypothesized that using two description types (NRFS and RFS) would have high inter-method reliability; however, using three description types (FFS, MFS and RFS) would have lower inter-method reliability because of the difficulty in distinguishing between FFS and MFS. Study design: Controlled Laboratory Study. Methods: Overall, 162 foot strikes from four healthy runners with various foot strike patterns were analyzed. Running kinematics and kinetics were recorded using a 3D motion capture system with a force platform. Each foot strike was filmed at 240 fps from the sagittal perspective. The visual, SI, and SA methods were used, and the kappa values for each method were calculated. Results: An assessment of the two types of foot strike: NRFS and RFS, revealed almost perfect kappa values (κ = 0.89-0.95) among the visual, SI, and SA methods. In contrast, an assessment of the three types: FFS, MFS, and RFS, revealed relatively low kappa values (κ = 0.58-0.71). Kappa values within the NRFS category, which includes MFS and FFS, ranged from fair to slight (κ = 0.08-0.33). Conclusion: Previous laboratory findings that categorized foot strike patterns into two distinct types may be applied in observational studies, clinical practice, and training situations. Level of evidence: Level 2.

Indexed as

foot strike patternforefoot strikemidfoot strikenon-rearfoot strikerearfoot strikestrike anglestrike index

Identifiers

PMID39502547
PMCPMC11534167

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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.