Maternal adverse childhood experiences are associated with binge drinking during pregnancy in a dose-dependent pattern: Findings from the All Our Families cohort
Bibliographic record
Abstract
BACKGROUND: Binge drinking (BD) is a serious risk factor for fetal alcohol spectrum disorders (FASD) and associated with more severe forms of the disorder. Thus, special attention to specific risk factors for BD adjacent to and during pregnancy is warranted. OBJECTIVES: (1) To examine the role that maternal adverse childhood experiences (ACEs) may play in BD in the 12 months before pregnancy and during pregnancy in a sample of women with moderate to high socioeconomic status; and (2) to examine the sociodemographic correlates of BD before and during pregnancy within this sample. PARTICIPANTS AND SETTING: This secondary analysis (N = 1663) was derived from the All Our Families prospective cohort study collected in Alberta, Canada between 2008-2011. METHODS: Data were collected using three mailed surveys completed by women during and after pregnancy. An established scale examined maternal ACEs before 18 years. Adjusted logistic regression models tested associations between ACE score and BD before and during pregnancy. RESULTS: Approximately 5 in 10 (48.3 %) and 1 in 10 (10.0 %) women reported ≥1 BD episode before and during pregnancy; respectively. In adjusted models, a woman's ACE score was associated with BD pre-pregnancy in a weak, nonmonotonic fashion; and during pregnancy in a moderate, dose-response fashion. Overall, ACEs resulted in two to three-fold increase in the odds of BD during pregnancy. CONCLUSIONS: Maternal ACEs were common in this middle to upper-middle income, well-educated sample and impacted the next generation through BD in pregnancy. These findings combine with others to speak to the public health significance of maternal ACEs on alcohol-related behaviour among expectant mothers across the socioeconomic spectrum, and the need for targeted evidence-based interventions for this population.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".