Impact Of Workload On Female Ice Hockey Player Complaints, Time-loss, And Perceived Performance

Associations between athlete load and injury risk have been investigated in field-based sports, with variability depending on specific measures used to assess exposure. However, work examining this relationship in ice hockey is currently limited, especially in female players. PURPOSE: To assess the association between female ice hockey player external and internal loads and the odds of self-reported complaints of injury and pain, time-loss from sport, and perceived effect on performance. METHODS: Twenty-three female university ice hockey players’ (19.9 ± 1.4 y, 68.2 ± 7.3 kg, 167.7 ± 5.6 cm) external (time-on-ice (TOI), skating distance, time spent skating in speed zones, and number of skating events measured via local positioning system) and internal (training impulse (TRIMP) and sessional rate of perceived exertion (sRPE)) loads were measured for an entire season, which were separated into low, low-medium, medium-high, and high load quartiles for analyses. Players’ self-reported injuries and pain, time-loss from sport, and perceived effect on performance prior to each practice and game. Using binomial logistic regression, crude odds ratios (OR) were calculated to assess weekly cumulative load measures and the odds of the various outcomes during that week. RESULTS: Players reported a total of 57 injury or pain complaints over the season. There were significant increases in the odds of a complaint within the low-medium (OR = 2.16, p = 0.049), medium-high (OR = 2.39, p = 0.03), and high (OR = 2.16, p < 0.05) load groups for TOI, and the high load group (OR = 2.22, p = 0.04) for TRIMP compared to the low load group. Interestingly, high load groups for TOI (OR = 0.18, p = 0.03), sRPE (OR = 0.22, p = 0.02), skating distance (OR = 0.16, p = 0.02), time spent in very low to high skating speed zones (OR = 0.16-0.30, p < 0.05), number of decelerations (OR = 0.31, p < 0.05) and skating transitions (OR = 0.09, p = 0.02) had a significant protective effect against time-loss from sport compared to the low load group. Apart from TRIMP (OR = 2.35, p = 0.03), high loads did not increase the odds of players reporting a perceived effect on their performance. CONCLUSION: Female ice hockey players who had high loads in various measures had greater odds of reporting complaints. However, these findings do not translate to time-loss or perceived effect on performance. PepsiCo and Mitacs

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001054440.77391.d4
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact Of Workload On Female Ice Hockey Player Complaints, Time-loss, And Perceived Performance

Alexander SD Gamble, Lawrence L. Spriet, Jessica L. Bigg
Medicine & Science in Sports & Exercise
Human-Automation Interaction and Safety
article

Impact Of Workload On Female Ice Hockey Player Complaints, Time-loss, And Perceived Performance

Alexander SD Gamble, Lawrence L. Spriet, Jessica L. Bigg
article en

Abstract

Associations between athlete load and injury risk have been investigated in field-based sports, with variability depending on specific measures used to assess exposure. However, work examining this relationship in ice hockey is currently limited, especially in female players. PURPOSE: To assess the association between female ice hockey player external and internal loads and the odds of self-reported complaints of injury and pain, time-loss from sport, and perceived effect on performance. METHODS: Twenty-three female university ice hockey players’ (19.9 ± 1.4 y, 68.2 ± 7.3 kg, 167.7 ± 5.6 cm) external (time-on-ice (TOI), skating distance, time spent skating in speed zones, and number of skating events measured via local positioning system) and internal (training impulse (TRIMP) and sessional rate of perceived exertion (sRPE)) loads were measured for an entire season, which were separated into low, low-medium, medium-high, and high load quartiles for analyses. Players’ self-reported injuries and pain, time-loss from sport, and perceived effect on performance prior to each practice and game. Using binomial logistic regression, crude odds ratios (OR) were calculated to assess weekly cumulative load measures and the odds of the various outcomes during that week. RESULTS: Players reported a total of 57 injury or pain complaints over the season. There were significant increases in the odds of a complaint within the low-medium (OR = 2.16, p = 0.049), medium-high (OR = 2.39, p = 0.03), and high (OR = 2.16, p < 0.05) load groups for TOI, and the high load group (OR = 2.22, p = 0.04) for TRIMP compared to the low load group. Interestingly, high load groups for TOI (OR = 0.18, p = 0.03), sRPE (OR = 0.22, p = 0.02), skating distance (OR = 0.16, p = 0.02), time spent in very low to high skating speed zones (OR = 0.16-0.30, p < 0.05), number of decelerations (OR = 0.31, p < 0.05) and skating transitions (OR = 0.09, p = 0.02) had a significant protective effect against time-loss from sport compared to the low load group. Apart from TRIMP (OR = 2.35, p = 0.03), high loads did not increase the odds of players reporting a perceived effect on their performance. CONCLUSION: Female ice hockey players who had high loads in various measures had greater odds of reporting complaints. However, these findings do not translate to time-loss or perceived effect on performance. PepsiCo and Mitacs

Medicine & Science in Sports & ExerciseVol. 56(10S)
University of Limerick (IE), University of Guelph (CA)
Gender equality
Openalex Percentile: Top 80%
Human-Automation Interaction and Safety
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.