History of mood or anxiety disorders and risk of gestational diabetes mellitus in a population‐based cohort
Bibliographic record
Abstract
AIM: To examine the association between mood and anxiety disorders and the development of gestational diabetes mellitus in a retrospective population-based cohort study. METHODS: Clinical data from a provincial perinatal health registry were linked to physician claims, hospitalization records and emergency visits to identify any diagnoses of mood or anxiety disorders in the 2 years prior to pregnancy and a subsequent diagnosis of gestational diabetes during pregnancy. The study population included all singleton pregnancies in the Canadian province of Alberta from 1 April 2000 to 31 March 2010. Generalized estimating equations were used to determine the adjusted odds ratio of gestational diabetes, comparing women with and without a history of mood or anxiety disorders. RESULTS: Among 373 674 pregnancies from 253 911 women, 25.7% had a history of mood or anxiety disorders, and 3.8% developed gestational diabetes. The multivariate-adjusted odds of developing gestational diabetes were higher among women with a history of mood or anxiety disorders (odds ratio 1.10, 95% CI 1.06-1.14). CONCLUSIONS: Women with a history of mood or anxiety disorders had a moderately increased risk of developing 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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".