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Record W7131756070

Warm-Up Strategies in Freestyle Snowsports: Effects of Extremely Cold Environments on Performance

2018· dissertation· en· W7131756070 on OpenAlexfundno aff
Shane Crowhen

Bibliographic record

VenueTuwhera (Auckland University of Technology) · 2018
Typedissertation
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
FundersMcMaster University
KeywordsAthletesSnowSquatTime trialExtreme ColdJumpCold weather
DOInot available

Abstract

fetched live from OpenAlex

Background: The implementation of a dynamic warm-up is a widely accepted practice amongst athletes in many sports, but less common in freestyle snow sports (i.e. skiing and snowboarding). Moreover, in freestyle skiing and snowboard there are extended periods (transition phase = 10 to 15 min) of time following the warm-up where athletes are inactive and exposed to extremely cold temperatures (-30 to -10 o C). These transition periods exacerbate the issue of maintaining body temperature and physical readiness in the extreme cold. The literature regarding the effectiveness of a warm-up and its residual benefits during transition phases in cold temperatures is limited. Purpose: To examine the effects of a neuromuscular warm-up (NWU), dynamic re-activation (RA), and passive re-warming (PRW) on squat jump (SJ) in snow sport athletes under extremely cold environmental conditions. Methods: Nine freestyle snow sport athletes (age = 21.1 ± 5.0 years; Mean ± SD) volunteered to participate in this study. A randomised repeated measures cross-over design was used. Following the completion of a standardised NWU, participants sat inactive in a temperature controlled industrial freezer (-20 to -18 o C) wearing cold weather training clothing. At specified time points, participants completed a vertical SJ protocol as the performance measure. The participants completed both experimental conditions (RA or PRW) on separate occasions, where they performed a dynamic RA or PRW, 20 min following the NWU. Five SJ were performed at the following time points: 14 min (4 min post NWU), 18 min (8 min post NWU), 26 min (16 min post NWU), 39 min (4 min post RA or PRW), 43 min (8 min post RA or PRW), and 51 min (16 min post RA or PRW). Results: Jump height (JH), peak force (PF) and impulse (IMP) showed excellent inter-day reliability (ICC > 0.80; CV < 5.3 %) and were used to assess jump performance across the two conditions. Small to moderate significant reductions in JH (ES > 0.2; P < 0.10) were observed at 26 min, 39 min, 43 min and, 51 min of cold exposure time under both conditions. Small significant reduction in PF (ES > 0.2; P < 0.10) were also observed at 51 min in both conditions. JH and PF decreased by 9 % and 5 %, respectively following 51 min of cold exposure. Small significant differences (ES > 0.2; P < 0.10) were observed between the PRW and RA at 4 min and 8 min post. The RA protocol had a likely beneficial effect on JH at these time points. Discussion: Participants had varying individual responses to the RA with some experiencing improvements in JH (6 to 12 %), while other had a poor response to RA, and JH continued to decline (0 to -7 %). A NWU appears insufficient to combat the effects of cold exposure during transition phases where athletes are inactive for short periods of time (4 to 16 min). The implementation of RA strategies may reduce the negative impact of cold by increasing tissue temperature and providing a post activation potentiation (PAP) stimulus. However, RA protocols need to be individualised, as negative or negligible responses may occur in some athletes. It is likely that decreasing muscle temperature plays a significant role in the decline JH and PF.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.004
GPT teacher head0.204
Teacher spread0.200 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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