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Record W4417508718 · doi:10.1177/23259671251394027

Associated Factors of Primary Cam Morphology in 4477 Early Adolescents: A Multiethnic, Population-Based, Cross-sectional Study (Generation R)

2025· article· en· W4417508718 on OpenAlexfundno aff
D. Chen, Fleur Boel, Pim van Klij, J. Runhaar, Fernando Rivadeneira, Sita Bierma‐Zeinstra, Rintje Agricola

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2025
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
FundersChina Scholarship CouncilErasmus Universitair Medisch Centrum RotterdamAmerican Orthopaedic Society for Sports MedicineMinisterio de Economía y CompetitividadErasmus Universiteit RotterdamArthritis SocietyDutch Arthritis Society
KeywordsPhysisObesityPrimary (astronomy)Primary preventionClosure (psychology)Primary care

Abstract

fetched live from OpenAlex

Background: Multiple prospective cohort studies have consistently shown a strong association between cam morphology and the development of hip osteoarthritis. However, associated factors of primary cam morphology (PCM) in the general adolescent population remain largely unexplored. Purpose: To investigate associated factors of the presence of PCM and increased alpha angle in early adolescents from the general population. Study Design: Cross-sectional study; Level of evidence, 3. Methods: The authors included 4477 participants with high-resolution dual-energy x-ray absorptiometry scans of the right hip from the population-based Generation R cohort in Rotterdam, the Netherlands. The alpha angle was automatically measured using validated methods. PCM was defined as an alpha angle ≥60°. The authors used multivariable logistic and linear regression models to investigate factors (demographic, anthropometric, and lifestyle factors and proximal femoral physis status) associated with PCM and increased alpha angle, respectively. Results: Of the included participants (median age, 13.5 years [2.5th-97.5th percentile, 13.2-14.6]; 51.6% female, 73.7% European), 151 (3.4%) had PCM. Male sex (adjusted odds ratio [aOR], 2.56; 95% CI, 1.62-4.04) and closed proximal femoral physis (aOR 3.28; 95% CI, 2.05-5.24) were associated with higher odds of PCM, whereas underweight (aOR 0.42; 95% CI, 0.18-0.97) was associated with lower odds of PCM. Factors associated with increased alpha angle included male sex (β coefficient, 2.99; 95% CI, 2.40-3.58), closed proximal femoral physis (β coefficient, 1.22; 95% CI, 0.61-1.82), cutting sport type (β coefficient, 1.07; 95% CI, 0.30-1.85), overweight (β coefficient, 0.89; 95% CI, 0.22-1.55), and obesity (β coefficient, 1.81; 95% CI, 0.57-3.04). Ethnicity and physical activity frequency were not associated with PCM or increased alpha angle. Conclusion: Among Dutch early adolescents, male sex and proximal femoral physis closure were associated factors of PCM and increased alpha angle, while cutting sport type, overweight, and obesity were modifiable factors of increased alpha angle. These findings could inform potential primary prevention strategies for PCM.

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)0.002
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.266
Teacher spread0.246 · 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
Published2025
Admission routes1
Has abstractyes

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