Evidence map›Paper›PMID 36231853›Full record

ArticleInternational journal of environmental research and public health2022

Identification of Gait and Personal Factors Associated with Shoe Abrasion Patterns.

Jiman Soon, Dae Wook Lee, Gyu Ri Choi, Ki Joon Kim, Sangwoo Bahn

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

5 authors.

Jiman SoonIndustrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea.
Dae Wook LeeDepartment of Biomedical Engineering, College of Electronics & Information, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0001-7388-0369
Gyu Ri ChoiIndustrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea.
Ki Joon KimIndustrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea.
Sangwoo BahnIndustrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shoe abrasion data can be used as major evidence to distinguish suspects, but their actual application in the field is limited due to a lack of associated empirical studies. This study analyzed the significant factors of shoe abrasion by identifying significant differences between gait, personal characteristics, and shoe abrasion patterns. Experiments were conducted on 291 Korean subjects, and data were analyzed using cluster analysis and cross-tabulation analysis with data collected to identify significant factors. As a result, overall, medial abrasion was very rare and would be useful for human identification. The greater the gait characteristics of the knee valgus, the greater the inner abrasion characteristics shown. In the case of knee varus, outer abrasion characteristics occurred more often. Additionally, in the double support phase while walking, the greater the tilt to the left or right, the more the outer parts of the shoes tend to wear out. Men have the characteristic of wearing out the outer side of their shoes more compared to women. Regarding human body dimensions, there were significant differences between the abrasion patterns of the shoes with some body dimensions. The results of this study could be used effectively in the identification of suspects using shoe abrasion patterns.

Indexed as

GaitShoesFemaleHumansKnee JointMaleWalkingbody dimensiongaitgait patternshoe abrasionwalking

Identifiers

PMID36231853
PMCPMC9566539

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.