Isolated vitamin D supplementation improves the adipokine profile of postmenopausal women: a randomized clinical trial
Bibliographic record
Abstract
OBJECTIVE: The aim of the study is to evaluate the effect of vitamin D supplementation alone on the adipokine profile of postmenopausal women. METHODS: In this randomized clinical trial, 160 women were randomized to 2 groups: oral supplementation with 1,000 IU cholecalciferol/d (vitamin D, n = 80) or placebo (PL, n = 80). Women with amenorrhea 12 months or more and aged 50 to 65 years were included. Women with established cardiovascular disease, insulin-dependent diabetes, renal failure, liver diseases, and previous use of menopausal hormone therapy and vitamin D were excluded. The intervention lasted 9 months and serum adiponectin, resistin, and adipsin levels were determined at the start and end of treatment. Intention to treat was adopted as the statistical method using a repeated measures design, followed by Wald's multiple comparison test adjusted for group × time interaction. RESULTS: After 9 months, 25-hydroxyvitamin D concentrations increased from 15.0 ± 7.5 to 27.5 ± 10.4 ng/mL (+45.4%) in the vitamin D group and decreased from 16.9 ± 6. to 13.8 ± 6.0 ng/mL (-18.5%) in the PL group ( P < 0.001). In the vitamin D group, there was an increase in adiponectin (+18.6%) and a decrease in resistin (-32.4%, P < 0.05). At the end point, a difference was observed between the PL and vitamin D groups in mean adiponectin and resistin levels (11.5 ± 5.5 vs 18.5 ± 21.8 ng/mL, P = 0.047, and 16.5 ± 3.5 vs 11.7 ± 3.3 ng/mL, P = 0.027, respectively). There were no significant intervention effects on serum adipsin levels. CONCLUSIONS: Daily supplementation with 1,000 IU of vitamin D alone was associated with an increase in adiponectin and a decrease in resistin, suggesting a beneficial effect on the adipokine profile of postmenopausal women with vitamin D deficiency.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".