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IDENTIFICATION OF MULTIPLE RISK FACTORS FOUND IN RECREATIONAL AND COMPETITIVE FEMALE ATHLETES

2003· article· en· W1966263497 on OpenAlexaff
Julia Alleyne, Louis P. Lukas

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2003
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsFemale athlete triadAthletesMedicinePopulationPsychological interventionDisordered eatingPhysical therapyBody mass indexFamily medicineEating disordersPsychiatryClinical psychologyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

The identification of Female Athlete Triad was first classified in 1992 as a syndrome that affected high level female athletes suffering from disordered eating, ammenorhea and osteoporosis. Through case study and literature searches, it is now becoming evident that many female athletes involved in recreational sport may also be at risk for developing one or more elements of Female Athlete Triad. As the burden of health becomes evident we must begin to examine the relevance and impact of risk factors that will assist us in early identification, evidence-based treatment and prevention programs. PURPOSE To examine and analyze the multiple risk factors related to the development and diagnosis of Female Athlete Triad as captured in a multi-disciplinary sport medicine clinic. This is a feasibility trial to establish parameters for a larger multi-centered study. METHODS This is a retrospective descriptive chart review on 21 patients who attended a sport medicine program and were identified as requiring multi-disciplinary treatment for one or more components of the Female Athlete Triad. Telephone verification interviews were conducted. Ethics approval was applied and received. Analysis on outcome measures included; demographics, injury history, BMI (body mass index), hours of training, social history, treatment interventions and body image perceptions among others. SUMMARY OF RESULTS: The prevalence of the three components of female athlete triad was not homogenous across the population: DSM-IV Eating Disorder(30%), Ammenorrhea (20%) and Decreased Bone Mineral Density or Stress Fracture(40%). An increased relative prevalence of all three disorders was associated with recreational exercise and running. Relevant risk factors for development of triad symptomotolgy included a BMI of <20 and hours of training of >20 hrs/week. The presence of injury was noted as a strong risk factor for development of disordered eating behaviours. CONCLUSION The strong presence of stress fracture without ammenorrhea or DSM-IV Eating Disorder may be a variation of Female Athlete Triad Syndrome that does not progress to involve the other components if identified and treated early. The correlation of the “20 factor” being a BMI of under 20 and over 20 hours of training per week in either recreational or competitive sport may be a “red flag” indicating further intervention and assessment is warranted. The continued support for a multifactorial etiology of Female Athlete Triad was confirmed. Further studies with larger population samples and greater sport diversity are recommended.

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)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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
Published2003
Admission routes1
Has abstractyes

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