Parental factors predicting social deviance and psychological outcomes in offspring: Evidence from the Avon Longitudinal Study of Parents and Children (ALSPAC)
Bibliographic record
Abstract
Objective: The objective of the present study was to examine whether exposure to prenatal psychoactive substances is associated with psychological outcomes and deviant behaviour. Methods: This was a secondary analysis of 7,769 mother–child dyads in the Avon Longitudinal Study of Parents and Children (ALSPAC) who were followed until the children were aged approximately 12 years. Parental characteristics and maternal use of various substances were collected in pregnancy and entered as predictors of psychological outcomes in childhood and deviant behaviours in early adolescence. The psychological outcomes were IQ, social cognition, working memory and inhibition, while the deviant behaviours were threatening others, truancy and cruelty to animals. Weighted logistic regression models were used to predict deviant behaviours and weighted linear regression for the psychological outcomes. Results: High prenatal alcohol exposure predicted truancy and cruelty to animals. Tobacco exposure predicted lower IQ, a greater social communication deficit, lower working memory, truancy and threatening others. Illicit drugs predicted a higher social communication deficit and truancy. All prenatal substance exposures remained significant after adjustment for peer influences and covariate imbalance. Conclusion: Alcohol, tobacco and illicit drugs were associated with deviant behaviours in early adolescence and these behaviours were preceded by psychological deficits in childhood. The present study supports the guideline that no amount of alcohol is safe to consume in pregnancy and that tobacco and illicit drugs should be avoided.
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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 | 0.001 | 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 | 0.001 |
| 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".