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Record W4294151503 · doi:10.47206/ijsc.v2i1.106

The Optimal Time Window for Complex Training in Order to Increase Repeated Sprint Ability in Professional Ice Hockey Players

2022· article· en· W4294151503 on OpenAlex
Sébstien Lagrange

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Strength and Conditioning · 2022
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSprintIce hockeyJumpLeagueVertical jumpMathematicsSquatJumpingPhysical therapyPhysical medicine and rehabilitationSimulationMedicineComputer sciencePhysics

Abstract

fetched live from OpenAlex

ABSTRACT The goal of this study was to investigate the post-activation performance enhancement (PAPE) and optimal time window following complex training (CT) to increase ice-hockey player skating speed and endurance. Ten professional ice-hockey players (age= 19.8±1.23 years, height= 1.8± 0.06 m, weight= 83.37±4.79 Kg,) from the American Hockey League (AHL, n=7) and the National Hockey League (NHL, n=3) were assigned randomly into two groups. Both groups completedthe same CT training protocol, designed to induce post-activation potentiation (PAP). One group completed the training 8 hours prior to testing (8HPT), and the other 4 hours (4HPT) before testing. The CT PAP training protocol consisted of 3 sets of 5 repetitions of trap high bar deadlifts superset with 6 box jumps on a 20-inch plyometric box. The effect of CT PAP training on performance was assessed using the following testing: the countermovement jump (CMJ), the static squat jump (SSJ), the stationary broad jump (BJ), reactive strength index (RSI), eccentric utilization ratio (EUR), the double leg incremental drop jump tests (DJ), and on ice 40 meter sprint time during the Peterson On-Ice repeated shift Test (POIT). Results showed significant improvements for both groups for the after CT PAP training for the SJ (4HPT: p= 0.04), BJ (8HPT: p= 0.02; 4HPT: p=0.03), POIT (8HPT: Sprint 4, 5, 6, 8: p<0.05; 4HPT: Sprint 2, 3: p<0.05), POIT total sprint time (8HPT: p= 0. 01), mean 40-meter sprint time (8HPT: Sprint 1, 2, 3, 4, 5, 6 and 8: p<0.05; 4HPT: Sprint 2, 3, 4, 5, 6 and 7: p<0.05), and total 40 meter sprint time (8HPT and 4HPT: Sprint 2 p= 0.03). However, no significant difference (p≥0.05) was found following CT PAP training for the CMJ, DJ, and RPE. Thus, the present study suggests that PAP has a greater effect on jumping and on ice-hockey repeated sprint performance when completed 8 hours before. Nonetheless, CT PAP training appears to be beneficial to improve the rate of force development and performance when performed more than 4 hours before the competition in professional North-American ice-hockey players. The present protocol and timing window can be utilized by strength and conditioning specialists to improve on-ice repeated sprint performance of professional ice-hockey players.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.310
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it