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Comparison of plantar pressure distribution between three different shoes and three common movements in futsal
INTRODUCTION: Analysis of in-shoe pressure distribution during sport-specific movements may provide a clue to improve shoe design and prevent injuries. This study compared the mean and the peak pressures over the whole foot and ten separate areas of the foot, wearing different shoes during specific...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663491/ https://www.ncbi.nlm.nih.gov/pubmed/29088278 http://dx.doi.org/10.1371/journal.pone.0187359 |
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author | Teymouri, Meghdad Halabchi, Farzin Mirshahi, Maryam Mansournia, Mohammad Ali Mousavi Ahranjani, Ali Sadeghi, Amir |
author_facet | Teymouri, Meghdad Halabchi, Farzin Mirshahi, Maryam Mansournia, Mohammad Ali Mousavi Ahranjani, Ali Sadeghi, Amir |
author_sort | Teymouri, Meghdad |
collection | PubMed |
description | INTRODUCTION: Analysis of in-shoe pressure distribution during sport-specific movements may provide a clue to improve shoe design and prevent injuries. This study compared the mean and the peak pressures over the whole foot and ten separate areas of the foot, wearing different shoes during specific movements. METHODS: Nine male adult recreational futsal players performed three trials of three sport-specific movements (shuffle, sprint and penalty kick), while they were wearing three brands of futsal shoes (Adidas, Lotto and Tiger). Plantar pressures on dominant feet were collected using the F-SCAN system. Peak and mean pressures for whole foot and each separate area were extracted. For statistical analysis, the mean differences in outcome variables between different shoes and movements were estimated using random-effects regression model using STATA ver.10. RESULTS: In the average calculation of the three movements, the peak pressure on the whole foot in Adidas shoe was less than Lotto [8.8% (CI95%: 4.1–13.6%)] and Tiger shoes [11.8% (CI95%:7–16.7%)], (P<0.001). Also, the recorded peak pressure on the whole foot in penalty kick was 61.1% (CI95%: 56.3–65.9%) and 57.6% (CI95%: 52.8–62.3%) less than Shuffle and Sprint tests, respectively (P<0.001). CONCLUSION: Areas with the highest peak pressure during all 3 movements were not different between all shoes. This area was medial forefoot in cases of shuffle and sprint movements and medial heel in case of penalty kick. |
format | Online Article Text |
id | pubmed-5663491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56634912017-11-09 Comparison of plantar pressure distribution between three different shoes and three common movements in futsal Teymouri, Meghdad Halabchi, Farzin Mirshahi, Maryam Mansournia, Mohammad Ali Mousavi Ahranjani, Ali Sadeghi, Amir PLoS One Research Article INTRODUCTION: Analysis of in-shoe pressure distribution during sport-specific movements may provide a clue to improve shoe design and prevent injuries. This study compared the mean and the peak pressures over the whole foot and ten separate areas of the foot, wearing different shoes during specific movements. METHODS: Nine male adult recreational futsal players performed three trials of three sport-specific movements (shuffle, sprint and penalty kick), while they were wearing three brands of futsal shoes (Adidas, Lotto and Tiger). Plantar pressures on dominant feet were collected using the F-SCAN system. Peak and mean pressures for whole foot and each separate area were extracted. For statistical analysis, the mean differences in outcome variables between different shoes and movements were estimated using random-effects regression model using STATA ver.10. RESULTS: In the average calculation of the three movements, the peak pressure on the whole foot in Adidas shoe was less than Lotto [8.8% (CI95%: 4.1–13.6%)] and Tiger shoes [11.8% (CI95%:7–16.7%)], (P<0.001). Also, the recorded peak pressure on the whole foot in penalty kick was 61.1% (CI95%: 56.3–65.9%) and 57.6% (CI95%: 52.8–62.3%) less than Shuffle and Sprint tests, respectively (P<0.001). CONCLUSION: Areas with the highest peak pressure during all 3 movements were not different between all shoes. This area was medial forefoot in cases of shuffle and sprint movements and medial heel in case of penalty kick. Public Library of Science 2017-10-31 /pmc/articles/PMC5663491/ /pubmed/29088278 http://dx.doi.org/10.1371/journal.pone.0187359 Text en © 2017 Teymouri et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Teymouri, Meghdad Halabchi, Farzin Mirshahi, Maryam Mansournia, Mohammad Ali Mousavi Ahranjani, Ali Sadeghi, Amir Comparison of plantar pressure distribution between three different shoes and three common movements in futsal |
title | Comparison of plantar pressure distribution between three different shoes and three common movements in futsal |
title_full | Comparison of plantar pressure distribution between three different shoes and three common movements in futsal |
title_fullStr | Comparison of plantar pressure distribution between three different shoes and three common movements in futsal |
title_full_unstemmed | Comparison of plantar pressure distribution between three different shoes and three common movements in futsal |
title_short | Comparison of plantar pressure distribution between three different shoes and three common movements in futsal |
title_sort | comparison of plantar pressure distribution between three different shoes and three common movements in futsal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663491/ https://www.ncbi.nlm.nih.gov/pubmed/29088278 http://dx.doi.org/10.1371/journal.pone.0187359 |
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