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Exploring association between core muscle stability and performance parameters of sportspersons at inter college level

2023· article· en· W4384076088 on OpenAlexaboutno aff
Satyanarayana Lh, Shivamurthy A

Bibliographic record

VenueInternational Journal of Physiology Sports and Physical Education · 2023
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsCore stabilityCore (optical fiber)AthletesTrunkCore strengthTest (biology)Physical therapyPhysical medicine and rehabilitationPsychologyMedicineEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Core stability has been studied for more than 40 years and has become fundamental to training programmes for performance enhancement in diverse sporting codes. Since the early 1980s, core training, especially core stability training, has been the subject of many studies. However, the two fundamental concepts of core strength and core stability have generally not been distinguished. The proposed protection against injury and improved athletic performance from core stability training has been the subject of many research studies and review papers. Research on core stability exercise programmes and the associated improvement of athletic performance is limited. While studies demonstrated the positive effect of core training on the physical strength of athletes, they show different results regarding the effect on sport-specific performance. The purpose of the present investigation was to explore the association between core muscle stability and performance parameters of sportspersons at college level. The subjects for the present investigation were 41 male inter college level sportspersons from various colleges of Shivamogga District, Karnataka. The core muscle stability was assessed through 3 tests by McGill’s torso muscular endurance test battery (McGill, 2015) [17]. Trunk Flexor Endurance Test, Trunk Lateral Endurance Test and Trunk Extensor Endurance Test. The performance parameters were assessed through following tests given in table 2. The skill related physical fitness parameters selected in the study was assessed through standardized tests. The skill levels of sportspersons was assessed through skill tests given below for different games. The sports achievement was assessed through points awarding system developed for this purpose. Pearson product moment correlation coefficient was used to examine the relationship between core muscle strength and selected performance parameters. The core muscle ability of inter collegiate level sportspersons is not significantly related to selected performance parameters under investigation.

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)0.001
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 score0.040
Threshold uncertainty score0.392

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 head0.290
GPT teacher head0.457
Teacher spread0.167 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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