Evaluation of head kinematics experienced during common skill progression pathways in Women’s Artistic Gymnastics

This study aimed to evaluate head kinematics experienced during skill progression pathways in Women's Artistic Gymnastics to inform post-concussion return to gymnastics protocols. A return to gymnastics framework, consisting of seven skill progression pathways, was developed. Twelve gymnasts were instrumented with mouthpiece sensors and performed two trials of each skill, if able. Sensors recorded data at 100 Hz and skill segments were extracted using time-synchronised video. Peak resultant linear (PLA) and rotational acceleration (PRA), rotational velocity change index (ΔRV) and peak resultant rotational velocity (PRV) of 1 Hz low pass filtered data were computed from skills. A mixed effects model evaluated differences in kinematic metrics across skills within pathways while adjusting for random effects of the participant. Stepwise increases in kinematic metrics occurred along backward and forward tumbling (floor) pathways but did not occur in other pathways. For instance, gymnasts experienced greater PLA and PRV during clear hip and back hip circle compared to giant. Moreover, skills performed early along respective pathways (e.g, Yurchenko timer (to back), Tsukahara timer (to back), handstand forward roll) were among the skills with the greatest PRA and ΔRV. Head kinematics associated with skill performance should be considered when developing return to gymnastics protocols.

Authors

Institutions

Publication Details

Journal
Sports Biomechanics
Published
2025-03-26
DOI
https://doi.org/10.1080/14763141.2025.2481154
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of head kinematics experienced during common skill progression pathways in Women’s Artistic Gymnastics

Joel D. Stitzel, Nicholas Stewart Pritchard, Justin B. Moore, Garrett Scott Bullock et al.
Sports Biomechanics
Balance, Gait, and Falls Prevention
article

Evaluation of head kinematics experienced during common skill progression pathways in Women’s Artistic Gymnastics

Joel D. Stitzel, Nicholas Stewart Pritchard, Justin B. Moore, Garrett Scott Bullock, Christopher M. Miles, Helen Carr, Alexandra G. Peluso, David W. Kruse, Elspeth Hart, Jillian E. Urban, Kambrie M. Brandt
article en

Abstract

This study aimed to evaluate head kinematics experienced during skill progression pathways in Women's Artistic Gymnastics to inform post-concussion return to gymnastics protocols. A return to gymnastics framework, consisting of seven skill progression pathways, was developed. Twelve gymnasts were instrumented with mouthpiece sensors and performed two trials of each skill, if able. Sensors recorded data at 100 Hz and skill segments were extracted using time-synchronised video. Peak resultant linear (PLA) and rotational acceleration (PRA), rotational velocity change index (ΔRV) and peak resultant rotational velocity (PRV) of 1 Hz low pass filtered data were computed from skills. A mixed effects model evaluated differences in kinematic metrics across skills within pathways while adjusting for random effects of the participant. Stepwise increases in kinematic metrics occurred along backward and forward tumbling (floor) pathways but did not occur in other pathways. For instance, gymnasts experienced greater PLA and PRV during clear hip and back hip circle compared to giant. Moreover, skills performed early along respective pathways (e.g, Yurchenko timer (to back), Tsukahara timer (to back), handstand forward roll) were among the skills with the greatest PRA and ΔRV. Head kinematics associated with skill performance should be considered when developing return to gymnastics protocols.

Sports BiomechanicsVol. 24(9)
Cedars-Sinai Medical Center (US), Universidad Nacional de Tumbes (PE), The Micheli Center for Sports Injury Prevention (US), Wake Forest University (US), University of Missouri (US)
National Institutes of Health
Gender equality
Openalex Percentile: Top 92%
Balance, Gait, and Falls Prevention
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.