40VITAMIN D DEFICIENCY: RELATION WITH INDEX OF MULTIPLE DEPRIVATION IN THE OVER 70S
Bibliographic record
Abstract
Introduction There is increasing evidence concerning potential adverse consequences of low Vitamin D levels on health. We have previous shown that there is no surrogate for measuring vitamin D levels in the general population. Here we determined whether this finding was apparent in the over 70s age group. We also investigated the relation between the index of multiple deprivation (IMD) and vitamin D levels in older people. Methods Serum specimens with requests for 25-hydroxy Vitamin D (25-OH Vitamin D), calcium, phosphate, parathyroid hormone (PTH) and alkaline phosphatase, on the same sample at Salford Royal Hospital from November 2010 to November 2012 were analysed for 70 men and 171 women aged 70 years or more at their last birthday, excluding renal clinic attendees. Results The prevalence of total vitamin D insufficiency or deficiency (defined as total Vitamin D <50 nmol/L) was 57.3% overall, with men having similar prevalence to women (60.0% vs 56.1%). There was no overall trend in mean serum adjusted calcium across categories of 25-OH Vitamin D status. As expected PTH levels rose as Vitamin D levels fell: for Vitamin D ≥50 nmol/L, PTH 47.1 ng/l; Vitamin D <10nmol/L, PTH 117.6ng/L.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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".