Prevalence and patterns of alcohol use in pregnancy in remote <scp>W</scp>estern <scp>A</scp>ustralian communities: The <scp>L</scp>ililwan<scp>P</scp>roject
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Alcohol use in pregnancy is thought to be common in remote Australian communities, but no population-based data are available. Aboriginal leaders in remote Western Australia invited researchers to determine the prevalence and patterns of alcohol use in pregnancy within their communities. DESIGN AND METHODS: A population-based survey of caregivers of all children born in 2002/2003 and living in the Fitzroy Valley in 2010/2011 (n = 134). Alcohol use risk was categorised using the Alcohol Use Disorders Identification Test consumption subset (AUDIT-C) tool. Birth and child outcomes were determined by interview, medical record review and physical examination. RESULTS: 127/134 (95%) eligible caregivers participated: 78% were birth mothers, 95% were Aboriginal and 55% reported alcohol use in index pregnancies; 88% reported first trimester drinking and 53% drinking in all trimesters. AUDIT-C scores were calculated for 115/127 women, of whom 60 (52%) reported alcohol use in pregnancy. Of the 60 women who drank (AUDIT-C score ≥ 1), 12% drank daily/almost daily, 33% drank 2-3 times per week; 71% drank ≥ 10 standard drinks on a typical occasion; 95% drank at risky or high-risk levels (AUDIT-C score ≥ 4). Mean AUDIT-C score was 8.5 ± 2.3 (range 2-12). The most common drinking pattern was consumption of ≥ 10 standard drinks either 2-4 times per month (27%) or 2-3 times per week (27%). DISCUSSION AND CONCLUSIONS: High-risk alcohol use in pregnancy is common in remote, predominantly Aboriginal communities in north western Australia. Prevention strategies to reduce prenatal alcohol use are urgently needed.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".