P2-517 Socioeconomic status (SES) related to bone properties in Canadian adolescent females?
Bibliographic record
Abstract
Introduction Osteoporosis is a bone condition characterised by low bone mass and increased susceptibility to fractures in older adults, particularly females. Peak bone mass (PBM) is accrued by age twenty in females. It is imperative adequate PBM be acquired in adolescent females to minimise future risk for osteoporosis. There is limited literature on the relationship between SES as a risk factor and bone properties in adolescent females. Methods In a cross-sectional study of Canadian adolescent females (n=412) from six randomly selected schools in Southern Ontario, multivariable regression analyses were used to assess the association between aggregate SES indices and bone speed of sound (SOS) in a multilevel model, participants nested in schools. Bone SOS was measured by transaxial quantitative ultrasound at the distal radius and mid-tibia. SES was determined by matching residential address for each participant with Statistics Canada 2006 Census data for their dissemination area. Results Mean age was 15.7±1.1 years. Multilevel analysis found a significant difference in SOS among schools at both radial and tibial sites (p<0.001). Multivariable regression analysis indicated significant positive relationships for median family income (p=0.036) and median household income (p=0.017) with tibial SOS adjusted for grade, weight, body mass index, smoking and alcohol use. Further analysis of average family income (p=0.035) and average household income (p=0.017) also indicated significant positive relationships with tibial SOS. Conclusion These data suggest school and SES at census aggregate variable level are important predictors for bone SOS in female adolescents, school appearing to dominate SES variables.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".