MétaCan
Menu
Back to cohort
Record W4289346315 · doi:10.5817/sts2022-1-7

The Effects of Different Rest Interval Lengths on Acute Quarter-squat Performance in Female

2022· article· en· W4289346315 on OpenAlexaboutno aff
Kateřina Strašilová, Petr Vajda

Bibliographic record

VenueStudia sportiva · 2022
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
FundersMasarykova UniverzitaMinisterstvo Školství, Mládeže a Tělovýchovy
KeywordsSquatMathematicsQuarter (Canadian coin)Animal scienceResistance trainingAthletesMuscle powerStatisticsPhysical therapyMedicine

Abstract

fetched live from OpenAlex

The inclusion of resistance training in the athletic preparation of young athletes is associated with increased time and personal demands. This study compared the effect of different rest interval (RI) lengths on quarter-squat performance in two age groups. Sixteen girls (age 12.20 ± 0.55) and 16 women (age 23.13 ± 2.23) performed three series of 10 quarter squats (10 repetition maximum [RM] load) with different RI times (1 min, 2 min, 3 min) between the three series. Each participant was randomly tested under all the RI conditions. The number of successful repetitions, power, and speed were recorded for each set using by FitroDyne device. The women completed significantly less repetitions in the third set than in the first set for the 2-min and 1-min RIs (9.38 ± 1.54, p = .05 and 8.44 ± 2.42; p = .003, respectively). There was observed a significant decrease in mean power and speed in the 3-min RI between the first and second set and in the 1-min RI between the first and third sets. No significant differences in numbers of completed repetitions and mean power were evident in girls for any RI condition, but there was a significant decrease in mean velocity in the 2-min RI between the first and second sets in this group. These results show that recommendations for adults may be not suitable for girls; the girls’ performance in three sets of 10 quarter squats was less affected by RI than the women’s performance.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.267
Teacher spread0.256 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueStudia sportivaSame topicSports Performance and TrainingFrench-language works237,207