Maternal vitamin D levels during pregnancy and offspring eating disorder risk in adolescence
Bibliographic record
Abstract
OBJECTIVE: To determine if maternal vitamin D concentrations at 18 weeks gestation predict offspring eating disorder risk in adolescence. METHOD: Participants were 526 Caucasian mother-child dyads from the Western Australian Pregnancy Cohort (Raine) Study. The Raine Study has followed participants from 18 weeks gestation to 20 years of age. Maternal serum 25(OH)-vitamin D concentrations were measured at 18 weeks pregnancy and grouped into quartiles. Offspring eating disorder symptoms were assessed at ages 14, 17 and 20 years. Core analyses were limited to female offspring (n = 308). RESULTS: Maternal 25(OH)-vitamin D quartiles were a significant predictor of eating disorder risk in female offspring, in multivariate logistic regression models. Vitamin D in the lowest quartile was associated with a 1.8-fold increase in eating disorder risk relative to concentrations in the highest quartile. This association also accounted for the relationship between offspring season of birth and eating disorder risk. Results were significant after adjusting for sociodemographic characteristics, body mass index and depressive symptoms. DISCUSSION: This is the first study to link low gestational vitamin D to increased eating disorder risk in female offspring of Caucasian mothers. Research is needed to extend these findings and to consider how gestational vitamin D may relate to the pathogenesis of eating disorders.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".