Screening, prevention and management of osteoporosis among Canadian adults
Bibliographic record
Abstract
INTRODUCTION: This study provides a benchmark for the nationwide use of osteoporosis screening, prevention and management strategies among Canadians aged 40 years and older (40+) using data collected one year prior to the release of Osteoporosis Canada's latest (2010) clinical practice guidelines. METHODS: Data are from the 2009 Canadian Community Health Survey-Osteoporosis Rapid Response Component. The study sample (n = 5704) was divided into four risk subgroups: (1) osteoporosis diagnosis and major fracture; (2) osteoporosis diagnosis only; (3) major fracture only; or (4) neither osteoporosis diagnosis nor major fracture. We calculated descriptive statistics and performed multinomial multivariate logistic regression analyses to examine factors independently associated with osteoporosis screening, prevention and management strategies. Estimates were weighted to represent the Canadian household population (40+) living in the 10 provinces. RESULTS: Approximately 10.1% of the population or 1.5 million Canadians 40+ reported having been diagnosed with osteoporosis. The majority related taking vitamin D or calcium supplements and having been prescribed osteoporosis medication(s), while less than 40% reported regular physical activity. Among those without a reported osteoporosis diagnosis, an estimated 6.7% or 1 million reported having had a major fracture, of which one-third reported having had a bone density test and less than half reported taking vitamin D supplements, calcium supplements or engaging in regular physical activity. Major fracture history was not associated with bone density testing or osteoporosis medication use. CONCLUSION: A large proportion of Canadians at risk for osteoporosis-those with a major fracture history-are not undergoing bone density testing nor are they engaging in lifestyle approaches known to help maintain healthy bones. This study provides the historical information required to evaluate whether the latest clinical practice guidelines have had an impact on osteoporosis care in Canada.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".