The association between primary ovarian insufficiency and osteoporosis in the Canadian Longitudinal Study on Aging
Bibliographic record
Abstract
OBJECTIVE: The objective of this study is to describe the association of premature ovarian insufficiency (POI) and early menopause on bone mineral density (BMD) and osteoporosis in a large cohort of women living in Canada. METHODS: Cross-sectional baseline data from a deeply characterized cohort (female participants) of the Canadian Longitudinal Study on Aging was used. Additional bio-psycho-social characteristics that may influence bone health and the development of osteoporosis were explored. RESULTS: The mean age of women at the time of baseline assessment was 65 years (N = 12,339). When comparing women with POI to those with early and normal age of menopause, there was no difference in hip BMD between groups, but women in the POI group were more likely to have a higher rate of self-reported osteoporosis (21.9% vs 16.7%) and have used osteoporosis drugs (11.39% vs 7.63%). After adjustment, POI was found to increase the odds of osteoporosis, as diagnosed using BMD. Current cigarette smoking was found to influence this association. Protective factors included obesity and current hormone therapy use, but not the duration of hormone therapy use. Women in the POI group were more likely to be obese, have decreased physical activity, and were more likely to be current smokers. CONCLUSION: These results confirm findings from smaller cohorts illustrating that POI is associated with osteoporosis. Increasing understanding of the sequelae associated with an earlier loss of ovarian function will aid in targeting earlier screening and intervention strategies for women in Canada and abroad.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".