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Bone Mineral Density in Aesthetic and Performance Sports in Female Collegiate Athletes

2017· article· en· W2618866175 on OpenAlexaff
Jessica A. Insogna, Ryan E.R. Reid, Patrick Delisle-Houde, Charlotte D. Haugan, Ross E. Andersen

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2017
Typearticle
Languageen
FieldMedicine
TopicBody Composition Measurement Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsBone mineralMedicineFemurFemoral neckAthletesIce hockeyPhysical therapyPelvisOsteoporosisTrochanterInternal medicineAnatomySurgeryPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Bone mineral density (BMD) in female athletes is influenced by many factors including genetics, menstrual history, calcium and vitamin D levels, hormonal changes, and physical activity. Percussive activity has been shown to lead to increased BMD. Peak BMD is achieved between the ages of 16-20 in females. Females begin participation in both ice hockey and synchronized swimming during crucial bone building years, which may affect peak BMD and therefore risk of osteoporosis later in life. PURPOSE: To evaluate BMD in the lower limb between ice hockey and synchronized swimming female collegiate athletes. METHODS: 41 female collegiate athletes (n = 22 hockey players, n = 19 synchronized swimmers) received a total body and left femur iDXA scan to evaluate total and regional BMD. Average age of the athletes was 20.30 ± 1.77 yrs. Average weight of the athletes was 65.36 ± 8.37 kg (synchronized swimmers: 62.62 ± 8.45 kg, hockey players: 67.73 ± 7.73, (F(1,40) = 4.09, p ≤ 0.05). Analysis of covariance (ANCOVA) was used to compare BMD of the legs, pelvis, femur, femoral neck, femoral shaft, trochanter, and total body while controlling for age and weight. RESULTS: Average body fat percentage as measured by iDXA for all athletes was 28.55 ± 5.97 %. Hockey players had higher BMD than synchronized swimmers in their legs (F(1,37) = 17.31, p ≤ .01), pelvis (F(1,37) = 34.63, p ≤ .01), femur (F(1,37) = 15.2, p ≤ .01), femoral neck (F(1,37) = 7.30, p ≤ .01), femoral shaft (F(1,37) = 13.77, p ≤ .01), trochanter (F(1,37) = 25.88, p ≤ .01), and total body (F(1,37) = 17.58, p ≤ .01). CONCLUSIONS: Female collegiate hockey players have higher weight and age adjusted BMD than female collegiate synchronized swimmers in the lower limb and multiple sites around the femur. A lower BMD puts these female athletes at a greater risk of developing osteoporosis later in life. Exercise scientists should develop alternative land training programs that focus on bone loading exercises for female synchronized swimmers to optimize bone health at a young age.

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)0.004
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 score0.033
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.285
Teacher spread0.262 · 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".

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Citations0
Published2017
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