Associations Between Pelvis, Trunk, and Shoulder Girdle Muscle Activity; Age; and Scores During the Closed Kinetic Chain Upper Extremity Stability Test in Baseball Pitchers

OBJECTIVE: To evaluate associations between muscle activity, age, and scores on the Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST). DESIGN: Quasi-experimental. METHODS: Pelvic, trunk, and shoulder girdle surface electromyography (sEMG) and kinematic data were measured in 21 high school and college male baseball pitchers (17.4 ± 2.0 years, 184.4 ± 5.7 cm, 78.4 ± 14.2 kg) while they performed the CKCUEST. Mean sEMG data were computed while in sole support on the throwing-arm side (TS) as the glove-arm side (GS) was horizontally translating. Correlations and local regressions were used to assess associations and general patterns between mean sEMG data, age, and scores. RESULTS: TS serratus anterior, TS external oblique, GS serratus anterior, and TS gluteus medius had the highest mean sEMG data. Low-to-high significant correlations were found between proximal muscle groups. Correlations with the highest magnitudes in descending order were TS external oblique and TS gluteus maximus, TS external oblique and TS serratus anterior, and GS external oblique and TS gluteus medius. Small significant associations were observed between other muscle groups and age; there were no associations between muscle activity and test performance. CONCLUSION: Associations were observed between mean muscle activity among muscle groups and age but not test outcome. J Orthop Sports Phys Ther 2024;2(4):1-9. Epub 7 June 2024. doi:10.2519/jospt.2024.1023

Authors

Publication Details

Journal
JOSPT open.
Published
2024-09-17
DOI
https://doi.org/10.2519/josptopen.2024.1023
Primary Topic
Shoulder Injury and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations Between Pelvis, Trunk, and Shoulder Girdle Muscle Activity; Age; and Scores During the Closed Kinetic Chain Upper Extremity Stability Test in Baseball Pitchers

Molly M. Cassidy, Gretchen D. Oliver, Anthony Fava, Thomas van Hogerwou et al.
JOSPT open.
Shoulder Injury and Treatment
article

Associations Between Pelvis, Trunk, and Shoulder Girdle Muscle Activity; Age; and Scores During the Closed Kinetic Chain Upper Extremity Stability Test in Baseball Pitchers

Molly M. Cassidy, Gretchen D. Oliver, Anthony Fava, Thomas van Hogerwou, Nicole M. Bordelon, Jeff W. Barfield
article en

Abstract

OBJECTIVE: To evaluate associations between muscle activity, age, and scores on the Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST). DESIGN: Quasi-experimental. METHODS: Pelvic, trunk, and shoulder girdle surface electromyography (sEMG) and kinematic data were measured in 21 high school and college male baseball pitchers (17.4 ± 2.0 years, 184.4 ± 5.7 cm, 78.4 ± 14.2 kg) while they performed the CKCUEST. Mean sEMG data were computed while in sole support on the throwing-arm side (TS) as the glove-arm side (GS) was horizontally translating. Correlations and local regressions were used to assess associations and general patterns between mean sEMG data, age, and scores. RESULTS: TS serratus anterior, TS external oblique, GS serratus anterior, and TS gluteus medius had the highest mean sEMG data. Low-to-high significant correlations were found between proximal muscle groups. Correlations with the highest magnitudes in descending order were TS external oblique and TS gluteus maximus, TS external oblique and TS serratus anterior, and GS external oblique and TS gluteus medius. Small significant associations were observed between other muscle groups and age; there were no associations between muscle activity and test performance. CONCLUSION: Associations were observed between mean muscle activity among muscle groups and age but not test outcome. J Orthop Sports Phys Ther 2024;2(4):1-9. Epub 7 June 2024. doi:10.2519/jospt.2024.1023

JOSPT open.Vol. 2(4)
Openalex Percentile: Top 71%
Shoulder Injury and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.