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Record W4401176972 · doi:10.1177/23259671241257259

The Difference Between Throwing and Practice Volumes in Youth Softball Athletes With and Without Upper Extremity Pain

2024· article· en· W4401176972 on OpenAlexaff
Nicole M. Bordelon, Peyton Gober, Kaila A. Holtz, Hillary A. Plummer, Jessica L. Downs-Talmage, Kamden K. Strunk, Jason L. Zaremski, Gretchen D. Oliver

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsUniversity of British Columbia
FundersAmerican Orthopaedic Society for Sports MedicineAuburn University
KeywordsThrowingMedicineAthletesPhysical therapyPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Background: Research indicates that mechanics differ between athletes with and without upper extremity pain; however, it is unclear which modifiable risk factors exist for throwing-related pain in softball athletes. Purpose: To determine whether sport specialization, throwing, practice, and strength and conditioning training volumes vary between youth softball athletes with and without upper extremity pain. It was hypothesized that youth softball athletes with upper extremity pain would participate in softball year-round and have greater throwing, practice, and strength and conditioning volumes compared with those without pain. Study Design: Cross-sectional study; Level of evidence, 3. Methods: A total of 232 youth softball athletes from travel ball, middle school, and high school leagues were invited to complete a survey to assess pain, sport specialization, throwing, practice, and strength and conditioning training volumes. Participants were classified into upper extremity pain and no pain groups based on their survey answers. The responses were compared between groups using Mann-Whitney U and chi-square tests. Results: A total of 101 athletes—with a mean ± SD age of 13.3 ± 2.3 years, height of 161 ± 13.4 cm, and weight of 59.8 ± 14.8 kg—completed the survey and were included for analysis. The response rate was 43.53%, with 22 athletes in the upper extremity pain group and 79 athletes in the no pain group. A significant difference was observed between hours devoted per week to off-season softball practice ( U, 626.6; Z =–2; P = .045), where those without upper extremity pain spent 4 fewer median hours (6 hours) practicing softball per week in the off-season compared with those with pain (10 hours). Also, a significant difference was found between the number of throws during an in-season game ( U, 457; Z, –2.28; P = .022), where those without upper extremity pain reported 21 fewer median throws (70 throws) during an in-season game compared with those with pain (91 throws). Furthermore, 77% of those who reported upper extremity pain continued to play despite their pain. There were no other significant differences between demographic characteristics, specialization, injury history, and primary position, as well as throwing, practice, and strength and conditioning volumes. Conclusion: Our study demonstrates that youth softball athletes with upper extremity pain had more throws during in-season games and increased hours per week devoted to off-season practice than athletes without upper extremity pain. Our findings support the need for softball stakeholders (eg, coaches, clinicians, parents, and administrators) to engage in further research and recommendations regarding in-season pitch counts and off-season rest.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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
Published2024
Admission routes1
Has abstractyes

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