Range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers
Evaluating range of motion (ROM) using several joints is essential for rehabilitating throwing injuries. We used multivariate analysis to elucidate the ROM patterns in baseball pitchers. This cross-sectional study measured the variable ROM in the upper extremities, trunk, and lower extremities. High...
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Format: | Article |
Language: | English |
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Japanese Society of Physical Fitness and Sports Medicine
2023-01-01
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Series: | Journal of Physical Fitness and Sports Medicine |
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Online Access: | https://www.jstage.jst.go.jp/article/jpfsm/12/1/12_17/_pdf/-char/en |
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author | Machiko Hiramoto Tomoyuki Matsui Ruo Hashimoto Yoshikazu Azuma Kazuya Seo Tetsuya Miyazaki Yuya Watanabe Noriyuki Kida Toru Morihara |
author_facet | Machiko Hiramoto Tomoyuki Matsui Ruo Hashimoto Yoshikazu Azuma Kazuya Seo Tetsuya Miyazaki Yuya Watanabe Noriyuki Kida Toru Morihara |
author_sort | Machiko Hiramoto |
collection | DOAJ |
description | Evaluating range of motion (ROM) using several joints is essential for rehabilitating throwing injuries. We used multivariate analysis to elucidate the ROM patterns in baseball pitchers. This cross-sectional study measured the variable ROM in the upper extremities, trunk, and lower extremities. High school baseball pitchers participated (N = 121). Factor analysis of ROM was performed using the maximum likelihood method. We analyzed the characteristics of pitchers with positive findings by classifying all players using cluster analysis (Ward’s method). Factor analysis showed a seven-factor solution was shown to be appropriate. Cluster analysis indicated that we could divide the players into three clusters that we named according to their characteristics and ROM: Cluster A: “Low flexibility” type, Cluster B: “High rotation” type, and Cluster C: “Poor rotation” type. The results indicated that most positive players were in Cluster A (46.4%). Players in Cluster A had lower ROM in the trunk, hip rotation, and SLR (straight leg raise) test than the other groups. This is the first study to identify the patterns of ROM in high school baseball pitchers with positive findings. These results are useful for conditioning baseball players. |
first_indexed | 2024-04-10T22:42:28Z |
format | Article |
id | doaj.art-26a4f4f60ae847cfa64133c75f1ff603 |
institution | Directory Open Access Journal |
issn | 2186-8131 2186-8123 |
language | English |
last_indexed | 2024-04-10T22:42:28Z |
publishDate | 2023-01-01 |
publisher | Japanese Society of Physical Fitness and Sports Medicine |
record_format | Article |
series | Journal of Physical Fitness and Sports Medicine |
spelling | doaj.art-26a4f4f60ae847cfa64133c75f1ff6032023-01-16T01:58:56ZengJapanese Society of Physical Fitness and Sports MedicineJournal of Physical Fitness and Sports Medicine2186-81312186-81232023-01-01121172510.7600/jpfsm.12.17jpfsmRange of motion patterning in trunk and upper and lower extremities of high school baseball pitchersMachiko Hiramoto0Tomoyuki Matsui1Ruo Hashimoto2Yoshikazu Azuma3Kazuya Seo4Tetsuya Miyazaki5Yuya Watanabe6Noriyuki Kida7Toru Morihara8Marutamachi Rehabilitation ClinicMarutamachi Rehabilitation ClinicMarutamachi Rehabilitation ClinicMarutamachi Rehabilitation ClinicRehabilitation Unit, University Hospital, Kyoto Prefectural University of MedicineMarutamachi Rehabilitation ClinicPhysical Fitness Research Institute, Meiji Yasuda Life Foundation of Health and WelfareDepartment of Applied Biology, Graduate School of Science and Technology, Kyoto Institute of TechnologyMarutamachi Rehabilitation ClinicEvaluating range of motion (ROM) using several joints is essential for rehabilitating throwing injuries. We used multivariate analysis to elucidate the ROM patterns in baseball pitchers. This cross-sectional study measured the variable ROM in the upper extremities, trunk, and lower extremities. High school baseball pitchers participated (N = 121). Factor analysis of ROM was performed using the maximum likelihood method. We analyzed the characteristics of pitchers with positive findings by classifying all players using cluster analysis (Ward’s method). Factor analysis showed a seven-factor solution was shown to be appropriate. Cluster analysis indicated that we could divide the players into three clusters that we named according to their characteristics and ROM: Cluster A: “Low flexibility” type, Cluster B: “High rotation” type, and Cluster C: “Poor rotation” type. The results indicated that most positive players were in Cluster A (46.4%). Players in Cluster A had lower ROM in the trunk, hip rotation, and SLR (straight leg raise) test than the other groups. This is the first study to identify the patterns of ROM in high school baseball pitchers with positive findings. These results are useful for conditioning baseball players.https://www.jstage.jst.go.jp/article/jpfsm/12/1/12_17/_pdf/-char/enrange of motionbaseballpatterningfactor analysiscluster analysis |
spellingShingle | Machiko Hiramoto Tomoyuki Matsui Ruo Hashimoto Yoshikazu Azuma Kazuya Seo Tetsuya Miyazaki Yuya Watanabe Noriyuki Kida Toru Morihara Range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers Journal of Physical Fitness and Sports Medicine range of motion baseball patterning factor analysis cluster analysis |
title | Range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers |
title_full | Range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers |
title_fullStr | Range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers |
title_full_unstemmed | Range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers |
title_short | Range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers |
title_sort | range of motion patterning in trunk and upper and lower extremities of high school baseball pitchers |
topic | range of motion baseball patterning factor analysis cluster analysis |
url | https://www.jstage.jst.go.jp/article/jpfsm/12/1/12_17/_pdf/-char/en |
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