Who is at Risk for a Spinal Fracture? – A Comparative Study of National Health and Nutrition Examination Survey Data
Bibliographic record
Abstract
A bone mineral density (BMD) test involves the process of measuring one’s bone strength, which helps predict the chances of getting a spinal fracture. In this study, we examined how BMD may be associated with risk factors such as alcohol consumption, body mass index (BMI), milk consumption and age. We were also interested in whether gender is associated with the chances of suffering from a spinal fracture. We analyzed the data from the National Health and Nutrition Examination Survey, 2007-2008 (NHANES 2007-2008). Our studies suggested that the results for men and women were quite similar for BMD and milk consumption but not for age and alcohol consumption. As men aged, the probability of getting a spinal fracture decreased, while for women, it increased considerably. For alcohol consumption, the higher intake of alcohol increased the chance of a spinal fracture for men, while for women, it decreased the chance of a spinal fracture. For both men and women, a higher BMI resulted in a higher BMD, which reduced the risk of a spinal fracture. The same occurred between men and women with milk consumption.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".