Depressive symptomatology and fracture risk in community-dwelling older men and women
Bibliographic record
Abstract
BACKGROUND AND AIMS: Previous studies suggest that depression increases risk of falls, low bone mineral density, and fractures. Our aim was to evaluate whether depressive symptomatology alone predicts 5-year clinical fracture risk in older adults. METHODS: In this secondary analysis of a communitybased, prospective cohort study including 4175 women and 1652 men in Canada, depressive symptomatology was assessed at baseline by the mental health inventory-5 (MHI-5) and the mental component score (MCS) of the short form 36 questionnaire (SF-36). Fracture events were assessed annually for five years; all reported incident fragility fractures were confirmed radiographically. RESULTS: Depressive symptomatology did not predict time to first fracture in men (hazard ratio [HR] 0.86, 95% confidence interval [CI] 0.45–1.65) or women (HR 1.09, 95% CI 0.86–1.39). Results were similar after controlling for potential confounders. Depressive symptoms were not significantly associated with baseline bone mineral density at the lumbar spine or femoral neck. Women with depressive symptoms were more likely to report falls in the previous month (odds ratio [OR] 1.52, 95% CI 1.12–2.06, p=0.01). This association did not achieve statistical significance in men (OR 1.71, 95% CI 0.96–3.04, p=0.07). CONCLUSION: In this large, community cohort, depressive symptomatology did not predict five-year risk of clinical fracture. Further research is needed to determine if individuals with major depressive disorder (MDD) are at higher fracture risk and whether neuroendocrine or hormonal dysregulation might contribute to such risk in MDD.
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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 | 0.000 | 0.000 |
| 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".