Alcohol use and self‐perceived mental health status among pregnant and breastfeeding women in Canada: a secondary data analysis
Bibliographic record
Abstract
OBJECTIVE: To estimate the prevalence of alcohol consumption during pregnancy and while breastfeeding in Canada from 2003 to 2010, and to test the relation between self-perceived mental health status and alcohol consumption during pregnancy and while breastfeeding. DESIGN: Secondary analysis of four cycles of the Canadian Community Health Survey, a population-based cross-sectional survey. SETTING: Canada. SAMPLE: A total of 18 612 pregnant and 15 836 breastfeeding women. METHODS: The prevalence of alcohol consumption during pregnancy and while breastfeeding and 95% confidence intervals (CI) were calculated by province and territory, and cycle. The relation between self-perceived mental health status and alcohol consumption during pregnancy and while breastfeeding was explored using quasi-Poisson regression models. MAIN OUTCOME MEASURES: Alcohol consumption during pregnancy and while breastfeeding, and self-perceived mental health status. RESULTS: In Canada, between 2003 and 2010, approximately one in every ten pregnant women (9.9%; 95%CI 9.2-10.5%) and two in every ten breastfeeding women (20.3%; 95%CI 19.4-21.2%) women consumed alcohol. Women with a lower self-perceived mental health status (i.e. 'good') were 1.40 (95%CI 1.18-1.67, P < 0.001) times more likely to have consumed alcohol during pregnancy, compared with women with an 'excellent' self-perceived mental health. There were no notable differences between the categories of mental health status in regard to alcohol consumption while breastfeeding. CONCLUSION: Despite public health efforts in Canada, a significant proportion of pregnant and breastfeeding women consume alcohol. It is imperative that a standard screening protocol be initiated among pregnant and breastfeeding women, especially in high-risk populations (e.g. women utilising substance abuse treatment programs). TWEETABLE ABSTRACT: In Canada in 2003-2010, approximately 10% of pregnant and 20% of breastfeeding women consumed alcohol.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".