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Record W2997790698 · doi:10.4085/1062-6050-560-18

Epidemiology of Foot Injuries Using National Collegiate Athletic Association Data From the 2009–2010 Through 2014–2015 Seasons

2020· article· en· W2997790698 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Athletic Training · 2020
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsLaurentian University
Fundersnot available
KeywordsAthletesMedicineFoot (prosody)Context (archaeology)Injury preventionPhysical therapyEpidemiologyPoisson regressionPoison controlConfidence intervalOccupational safety and healthDemographyPopulationEmergency medicineEnvironmental healthInternal medicinePathologyGeography

Abstract

fetched live from OpenAlex

CONTEXT: Researchers analyzing data from the National Collegiate Athletic Association Injury Surveillance Program have not considered the differences in foot injuries across specific sports and between males and females. OBJECTIVE: To describe the epidemiologic differences in rates of overall foot injuries and common injuries among sports and between sexes. DESIGN: Descriptive epidemiology study. SETTING: Online injury-surveillance data from 15 unique sports involving males and females that demonstrated 1967 injuries over 4 821 985 athlete-exposures. PATIENTS OR OTHER PARTICIPANTS: Male and female athletes competing in National Collegiate Athletic Association sports from the 2009-2010 through 2014-2015 seasons. MAIN OUTCOME MEASURE(S): Foot injury rates (per 10 000 athlete-exposures) and the proportion of foot injuries were calculated for each sport. The effect of sex was calculated using Poisson-derived confidence intervals for 8 paired sports. A risk analysis was performed using a 3 × 3 quantitative injury risk-assessment matrix based on both injury rate and mean days of time loss. RESULTS: Foot injury rates differed between sports, with the highest rates in female gymnastics, male and female cross-country, and male and female soccer athletes. Cross-country and track and field had the highest proportions of foot injuries for both female and male sports. The 5 most common injuries were foot/toe contusions, midfoot injuries, plantar fascia injuries, turf toe, and metatarsal fractures. Only track and field athletes demonstrated a significant sex difference in injury rates, with female athletes having the higher rate. The quantitative injury risk-assessment matrix identified the 4 highest-risk injuries, considering both rate and severity, as metatarsal fractures, plantar fascia and midfoot injuries, and foot/toe contusions. CONCLUSIONS: Important differences were present among sports in terms of injury rates, the most common foot injuries, and the risk (combination of frequency and severity) of injury. These differences warrant further study to determine the mechanisms of injury and target intervention efforts.

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.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.269
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.254
GPT teacher head0.402
Teacher spread0.148 · 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