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Record W4388775424 · doi:10.55275/jposna-2023-788

Parental Awareness and Attitudes Towards ACL Injury Prevention Programs in Youth Athletes

2023· article· en· W4388775424 on OpenAlexaff
Paola R. Sparagana, Bayley Selee, Henry B. Ellis, Matthew D. Ellington, Jennifer J. Beck, Sasha Carsen, Allison Crepeau, Aristides I. Cruz, Benton E. Heyworth, Stephanie W. Mayer, Emily Niu, Neeraj M. Patel, Andrew T. Pennock, Curtis VandenBerg, Brendan A. Williams, Zachary S. Stinson, Kelly L. Vanderhave

Bibliographic record

VenueJournal of the Pediatric Orthopaedic Society of North America · 2023
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsAthletesACL injuryYouth sportsPsychologyPhysical therapyClinical psychologyApplied psychologyMedicineAnterior cruciate ligament

Abstract

fetched live from OpenAlex

Background: The incidence of anterior cruciate ligament (ACL) injuries has steadily increased in young athletes and may have long-term implications for physical function and quality of life. ACL injury prevention programs have been developed and refined over the past several decades and have been shown to reduce the risk of ACL injuries by up to 70%1,2. However, awareness and understanding of these programs among parents of athletes is unknown. This study aims to evaluate knowledge and attitudes towards ACL injury prevention programs for parents of young athletes involved in cutting and pivoting sports at varying levels of competition. Methods: A cross-sectional survey was nationally distributed to a convenience sample of parents of young athletes between the ages of 5 and 18. The survey focused on questions relating to demographic information, history of ACL injury, knowledge of ACL injury prevention programs, and factors influencing program awareness. Descriptive statistics were used to summarize participant characteristics and determine prevalence of program awareness. Results: A total of 244 parents completed the survey with 74% indicating their child’s primary sport was soccer. Seventy-seven percent of these athletes began specializing in their primary sport at an average age of 8 years old (SD = 2.72). Only 18% of parents reported knowledge of ACL injury prevention programs and just 6% reported their child has ever participated in one. Of the 29 (12%) athletes who had experienced an ACL injury, only 17% had ever participated in an ACL injury prevention program. The most common reported barrier of ACL injury prevention program participation was the lack of awareness of where to get such training and it not being readily offered to their child. Sixty-eight percent of all parents would have their child participate in an ACL injury prevention program if offered to them. Conclusion: There is a lack of awareness of ACL injury prevention programs among parents of young athletes involved in high injury-risk sports. However, most parents would be interested in their child utilizing an ACL injury prevention program if it were offered.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.294
Teacher spread0.269 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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