Prognostic Indicators of Changes in Bone Density Measures in Adolescent Girls with Anorexia Nervosa-II
Bibliographic record
Abstract
INTRODUCTION: Adolescents with anorexia nervosa (AN) have low bone mineral density (BMD). Baseline predictors of temporal BMD changes (DeltaBMD) in AN, including 1) gastrointestinal peptides regulating food intake and appetite that have been related to bone metabolism and 2) bone turnover markers, have not been well characterized. We hypothesized that baseline levels of nutritionally regulated hormones and of bone turnover markers would predict DeltaBMD overall. METHODS: In a prospective observational study, lumbar and whole-body BMD was measured at 0, 6, and 12 months in 34 AN girls aged 12-18 yr and 33 controls. Baseline body mass index, lean mass, nutritionally regulated hormones [IGF-I, cortisol, ghrelin, leptin, and peptide YY (PYY)], bone formation, and resorption markers were examined to determine nutritional and hormonal predictors of bone density changes. RESULTS: In a regression model, baseline ghrelin and PYY predicted changes in spine bone measures; and baseline ghrelin, cortisol, and PYY predicted changes in whole-body bone measures independent of baseline nutritional status. CONCLUSIONS: Neuroendocrine gastrointestinal-derived peptides regulating food intake are independent predictors of changes in bone mass in AN.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".