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Record W2988820874 · doi:10.5539/jel.v8n6p119

Comparison of Balance, Reaction Time, Attention and Bmi Values in Individual and Team Sports

2019· article· en· W2988820874 on OpenAlexvenueno aff
Cenab TÜRKERİ, Barışcan ÖZTÜRK, Bilgihan BÜYÜKTAŞ, Demet Öztürk

Bibliographic record

VenueJournal of Education and Learning · 2019
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsBasketballAthletesBalance (ability)PsychologyTeam sportFootballPhysical therapyMedicine

Abstract

fetched live from OpenAlex

In this study, we aimed to investigate static and dynamic balance, reaction time, attention and BMI values at the athletes being in the individual and team sport. 78 individual athletes (karate 17, judo 15, Gymnastics 14, table tennis 12, wrestling 20) and 58 team athletes (handball 23, basketball 13, volleyball 10, football 12) with formal licensed and average ages 13.08±1.36 years were participated as voluntarily. For demographic characteristics, participants have filled in questionnaires and Bass Stick static balance, Y dynamic balance, Nelson hand reaction time and D2 attention test were applied. First, we have applied the Kolmogorov-Smirnov test for normality of the data, the normal distribution is observed and then independent t test was used. In order to see the relationship between data, Pearson’s correlation test was applied. The average sporting age of participants was 4.32 ± 1.87 years, height 1.59 ± 0.11m, body weight 50.18 ± 12.74 kg and per week training time 10.33 ± 4.41 hours. In addition, their BMI values were​19.49 ± 3.10 kg/m2 which is in the normal range, i.e., no difference between individual and team athletes was observed. It has been observed that for individual athletes, total number of items is 525.42 ± 108.29, total number of errors is 454.04 ± 105.86, concentration performance is 182.14 ± 62.53, reaction rime is 0.29 ± 0.06 sec, static balance is 7.10 ± 4.49 sec, dynamic balance is 208.37 ± 32.20 cm. On the other hand, for team athletes, these values were 500.59 ± 79.70, 382.31 ± 93.60, 168.35 ± 56.51, 0.26 ± 0.05 sec, 5.68 ± 2.67 sec and 187.15 ± 29.99 cm, respectively. We have found that while age increased the static and dynamic balance increased, but training time increased solely the dynamic balance increased. In addition, when taking into account the static and dynamic balance, it has been observed that the individual athletes were better than the team athletes but for the reaction time was contrary, i.e., team athletes were better than the individual ones.

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 score0.107
Threshold uncertainty score0.151

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 head0.013
GPT teacher head0.278
Teacher spread0.265 · 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

Citations11
Published2019
Admission routes1
Has abstractyes

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