Association between serum 25‐hydroxyvitamin D in early pregnancy and risk of gestational diabetes mellitus
Bibliographic record
Abstract
AIMS: There is emerging evidence of a relationship between vitamin D insufficiency and glucose intolerance. The aim of this study was to determine whether low serum 25-hydroxyvitamin D in early pregnancy is associated with an increased risk of gestational diabetes mellitus. METHODS: This nested case-control study examined the association between serum 25-hydroxyvitamin D and risk of gestational diabetes within a cohort of pregnant women from March 2008 to December 2009, who had undergone antenatal screening between 15 and 18 weeks gestation and subsequent glucose tolerance testing. Cases were women diagnosed with gestational diabetes and each case was matched to up to two controls without gestational diabetes on age, race and date of blood collection. Serum 25-hydroxyvitamin D was measured from stored antenatal screening samples and compared between cases and controls. RESULTS: Of the 116 women with gestational diabetes and 219 control subjects studied, the average age was 34.3 years and 41% were of non-Caucasian race. Women with gestational diabetes had significantly lower serum 25-hydroxyvitamin D compared with control subjects (56.3 vs. 62.0 nmol/l, P = 0.018). After adjusting for gestational age and maternal weight, serum 25-hydroxyvitamin D below the top quartile (< 73.5 nmol/l) was associated with a twofold greater likelihood of gestational diabetes (adjusted odds ratio 2.21, 95% confidence interval 1.19-4.13). CONCLUSIONS: Lower vitamin D status in early pregnancy was associated with a significantly increased risk of subsequent gestational diabetes that was independent of race, age, season and maternal weight. This study suggests that vitamin D may influence glucose tolerance during pregnancy and provides support for studies of vitamin D as a potential intervention to prevent gestational diabetes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.001 | 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".