Correlates of Calcium Supplement Use in Older Community-dwelling Ontario Women
Bibliographic record
Abstract
Background: Older Canadian women are not meeting recommended calcium intake levels and therefore require calcium supplementation to maintain bone mass. Objective: To examine factors associated with calcium supplementation among older community-dwelling women, using the Health Belief Model (HBM) as a conceptual framework. Methods: Data previously collected from Ontario community-dwelling women aged 65 to 90 years (n=798) were analyzed. Multivariable logistic regression was utilized to determine HBM factors associated with calcium supplement use. Results: About half (54%) of women reported taking calcium supplements. Positive correlates of calcium supplementation included: perceived osteoporosis susceptibility, perceived calcium benefits, natural health product use, residing in Toronto and general osteoporosis management factors (discussion with a physician or pharmacist, osteoporosis screening, falls history and preventive health check-ups); a negative correlate included: use of etidronate therapy. Conclusion: Only half of older women were taking calcium supplements. Discussions with healthcare practitioners may help to improve recommended calcium intake levels.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".