Long‐term alcohol exposure prior to conception results in lower fetal body weights
Bibliographic record
Abstract
BACKGROUND: It is well known that alcohol consumption during pregnancy can result in lower birth weight babies but many women stop consuming alcohol prior to conception as a part of pregnancy planning. The purpose of this study was to determine whether alcohol consumption prior to conception may also have an effect on fetal development. METHODS: Male and female C57BL/6J mice at 4, 6, or 8 weeks of age received either a single administration of alcohol (3.0 g/kg) via intragastric gavage (IG) each day for at least 60 days, or an isovolumetric IG administration of sterile water. After 60 treatment days, males and females within each age and treatment group were mated overnight. Females continued to receive daily alcohol treatments until conception. Males continued to receive treatments until all females were successfully mated. At conception, females were isolated and left undisturbed. On embryonic day 14, fetus number, size, and weight was determined. RESULTS: Maternal food consumption, body weight at conception, and delay to conception onset did not differ between the two treatment groups or among the three age groups. Fetal body weights did not differ among the three age groups. Fetuses from females treated with alcohol had lower body weights compared to those treated with water. Male treatments did not seem to affect fetal body weight. CONCLUSIONS: Fetal growth and development can be affected by alcohol consumption prior to the time of conception. Alcohol consumption prior to conception is a potential risk factor to fetal outcome and an important consideration for those females planning to have children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.004 | 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".