Correlates of Forearm Bone Mineral Density in Young Norwegian Women: The Nord-Trondelag Health Study
Bibliographic record
Abstract
Maximizing attainment of optimal peak bone mineral density (BMD) is a potential osteoporosis prevention strategy. The main objective of this study was to identify correlates of forearm BMD in young adult women. Population-based data derived from standardized questionnaires administered to healthy women aged 19-35 years in Nord-Trøndelag, Norway (n = 963), were collected in 1995-1997. Forearm BMD was assessed by single x-ray absorptiometry. Multiple linear and logistic regression analyses were used to determine correlates of BMD (g/cm(2)) and lowest quintile of BMD, respectively, at the ultradistal and distal sites. The mean age and weight of the cohort were 29.7 years (standard deviation 4.7) and 68.6 kg (standard deviation 12.5), respectively. Age and weight were positively associated with BMD at both forearm sites. When data were controlled for age and weight, later age at menarche and lack of milk consumption were associated with lower BMD values. In both linear models and logistic models, none of the factors vitamin D intake, physical activity, smoking, alcohol consumption, amenorrhea, oral contraceptive use, number of pregnancies, history of breastfeeding, and family history of osteoporosis were found to be significantly associated with BMD. Prior studies have suggested that calcium supplementation in children is useful for optimizing peak BMD. Further studies exploring the relation between lifestyle factors and BMD are warranted to search for ways to maximize attainment of peak BMD.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".