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Record W4411476608 · doi:10.70736/2958.8332.kosalb.53

The Asymmetry Level of Hamstrings Strength in Female U16 Basketball Players

2025· article· en· W4411476608 on OpenAlexaff
Anilë Selmani, Bujar Begu

Bibliographic record

VenueKOSALB International Journal of Human Movements Science · 2025
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsBasketballHamstringAsymmetryJumpPhysical therapyMathematicsVertical jumpOrthodonticsMedicinePhysical medicine and rehabilitationStatisticsPsychologyPhysics

Abstract

fetched live from OpenAlex

Study aim(s): This study aims to assess hamstring strength asymmetry in female basketball players under 16 years old using both bilateral and unilateral Nordic Hamstring Test. The goal is to identify right-left leg strength differences that may influence injury risk and performance, yet often go undetected in regular training. Methods: The observational study, with a cross-sectional design includes 10 female basketball players under the age of 16 who train regularly with the "United Basketball" U16 team, under the framework of the Kosovo Basketball Federation (KBF). Hamstring strength asymmetry was assessed using the bilateral and unilateral Nordic Hamstring Tests using, with data collected via the My Jump 3 application. The measured parameters included torque (Nm), percentage of maximum torque (% of max τ), breakpoint angle (⁰), and asymmetry level (%). Data were analyzed using SPSS version 27. The statistical methods applied the Shapiro-Wilk test, descriptive statistics, percentiles, Pearson correlation, independent t-test, and a standard formula for calculating asymmetry level. Results: A significant negative correlation was found between body weight ─ attributable to muscle mass ─ and asymmetry (r = 0.681, p = 0.030). BMI showed a similar non-significant trend (r = 0.614, p = 0.059). In contrast, height and lever length exhibited weak correlations with asymmetry. Torque was higher in the right leg (455.24 Nm) compared to the left leg (370.85 Nm). The measured asymmetry was 5.09%, indicating a slight dominance of the right leg. Conclusion: In U16 female basketball players, a 5% asymmetry between the left (370 Nm, 102.3°) and right leg (455 Nm, 103.5°) in torque and breakpoint values suggests an acceptable level of functional variation. This asymmetry is likely influenced by muscle mass, which contributes to strength balance and neuromuscular control. These findings highlight the importance of targeted unilateral hamstring training to reduce injury risk in dynamic, sport-specific movements.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.376
Teacher spread0.339 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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