Do Women Change Their Drinking Behaviors While Trying to Conceive? An Opportunity for Preconception Counseling
Bibliographic record
Abstract
BACKGROUND: Prenatal alcohol exposure is a leading cause of preventable mental retardation and developmental disabilities, including fetal alcohol syndrome. Current medical guidelines recommend that no alcohol should be consumed over the period of conception and throughout pregnancy. Although the majority of women reduce alcohol consumption when they realize they are pregnant, this recognition may not occur until well into the first trimester, potentially impacting embryonic development. OBJECTIVES: To describe and assess changes in patterns of women's alcohol use between the preconception, pre-pregnancy recognition and post-pregnancy recognition time periods. Secondly, to describe characteristics of women consuming any alcohol and those binge drinking during pre- and post-pregnancy recognition periods. METHODS: Computer assisted telephone interviews were conducted with 1042 women who had recently delivered a baby in urban Alberta, Canada. Differences in consumption patterns between time periods were analyzed using analysis of variance and Chi-square tests. Characteristics of those drinking both before and after pregnancy recognition were analyzed using logistic regression. RESULTS: Eighty percent of women reported alcohol consumption pre-conceptually, 50% pre-pregnancy recognition and 18% post-pregnancy recognition. Binge drinking was reported by 32%, 11% and 0% for preconception, pre-pregnancy recognition and post-pregnancy recognition periods, respectively. Alcohol consumption patterns (i.e., the mean number of drinks per drinking day and week) did not differ significantly between preconception and pre-pregnancy recognition periods but did significantly drop after pregnancy recognition (p<0.001). Alcohol use during the period of pre-pregnancy recognition was higher among those not planning a pregnancy, not using assisted reproductive technology, of higher income, without a history of miscarriage, who were Caucasian, and who used tobacco. Binge drinking was higher among women not planning a pregnancy, those who used tobacco, and those with low self-esteem. Women continuing to drink small amounts of alcohol after pregnancy recognition were more likely to be between the ages of 30-39 years, be Caucasian and use tobacco. CONCLUSION: Preconception and "well-women" counseling strategies would be improved by increasing the emphasis on the risks of alcohol use during periods when pregnancy can occur.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".