Characteristics of Women Who Consume Alcohol Before and After Pregnancy Recognition in a Canadian Sample: A Prospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: High levels of alcohol consumption during pregnancy are teratogenic to fetal development, yet less is known about the effects of low levels of consumption. Only a few studies have reported on the predictors and maternal characteristics associated with different alcohol consumption patterns prior to and following pregnancy recognition. METHODS: The All Our Babies longitudinal study in Alberta, Canada was used to analyze the association of maternal characteristics with binge drinking prior to pregnancy recognition and low to moderate levels after pregnancy recognition among 2,246 women who consumed alcohol 1 year prior to pregnancy. Bivariate and multivariable analyses were conducted. RESULTS: Thirteen percent of women reported binge drinking prior to pregnancy recognition. Forty-six percent reported drinking after pregnancy recognition, almost all at low to moderate levels. Significant, independent predictors (odds ratio, 95% confidence interval) of binge drinking in early pregnancy included high school or less education (3.61, 1.81 to 7.19), some or completed university/college (2.23, 1.16 to 4.27), nulliparity (1.62, 1.19, 2.20), not trying to get pregnant (1.92, 1.37 to 2.69), smoked in the year prior to pregnancy (1.98, 1.43 to 2.73), binge drinking in the year prior to pregnancy (10.83, 6.71 to 17.46), and low dispositional optimism (1.73, 1.23 to 2.42). Independent predictors of low to moderate average levels of consumption after pregnancy recognition included not trying to get pregnant (1.91, 1.45 to 2.52), prepregnancy body mass index <25.0 kg/m(2) (1.41, 1.61 to 1.72), smoking in the year before pregnancy (1.90, 1.43 to 2.53), and binge drinking in the year before pregnancy (2.62, 2.16 to 3.18). CONCLUSIONS: Common risk factors for different alcohol consumption patterns are unintended pregnancy and substance use behaviors prior to pregnancy. Other risk factors were specific to the different patterns. Targeted strategies that address the needs of alcohol or nicotine using women and that can reduce the risk of unintended pregnancy may be beneficial.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| 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".