Supportive alcohol policy as a key element of fetal alcohol spectrum disorder prevention
Bibliographic record
Abstract
In Canada, a Four-Part Model of Fetal Alcohol Spectrum Disorder (FASD) Prevention has been developed that describes a continuum of multi-sectoral efforts, including broad awareness campaigns, safe and respectful conversations around pregnancy and alcohol use, and holistic and wraparound support services for pregnant and postpartum women with alcohol, and other health and social concerns. Supportive alcohol policy is at the centre of the four mutually reinforcing levels of prevention. The purpose of this narrative review is to describe alcohol policies related to specific levels of FASD prevention, and to consider the implications of alcohol policies on FASD prevention and women's and fetal health. The majority of the evidence focused on alcohol in pregnancy guidelines, alcohol warning labels, and knowledge and uptake of national or regional alcohol and pregnancy guidelines. Several US studies described shifts in alcohol and pregnancy policy over the 7-year period, including moves to punitive approaches that criminalize women's substance use or prompt child apprehension. This review indicates that more attention could be paid to the role of alcohol policy in FASD prevention and in promoting women's and fetal health, and that policy actions and advocacy could be important catalysts for both FASD prevention and women's health promotion. Moving forward, it is essential that alcohol policies are rooted in evidence; attend to and promote women's health including health during pregnancy; and are collaborative in order to prompt a higher standard of care, and more holistically respond to the factors that contribute to women's alcohol use during pregnancy.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.001 |
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".