Adolescent Alcohol and Tobacco Use and Early Socioeconomic Position: The ALSPAC Birth Cohort
Bibliographic record
Abstract
OBJECTIVE: To examine the association between use of alcohol and cigarettes among adolescents and their early socioeconomic background. METHODS: Members of a longitudinal birth cohort (Avon Longitudinal Study of Parents and Children [ALSPAC], United Kingdom) were invited to attend a personal interview. A total of 5837 children aged 13 years were asked about previous consumption of alcohol and tobacco. Information on parental socioeconomic position, collected from questionnaires from the mother, included both social class and education of the expectant mother and her partner and average household disposable income in early preschool childhood. The impact of missing data was assessed by multiple imputation. RESULTS: Consuming a drink of alcohol in the previous 6 months was linearly associated with higher income levels even when adjusting for other socioeconomic indicators. In contrast, both the risk of binge drinking and recent drinking was lower for children whose mothers had a higher educational level. Smoking tobacco was associated with lower socioeconomic position irrespective of the indicator used. Analyses after imputation of missing data confirmed these associations. CONCLUSIONS: Alcohol drinking was more common in young people from higher-income households but less common with higher levels of maternal education. A consistent inverse socioeconomic gradient with tobacco smoking was apparent. These results may reflect how different aspects of socioeconomic position can influence health behavior in opposing directions. Higher income may increase the availability of alcohol in the family, whereas mothers with higher educational attainment might encourage more healthy behaviors in their children, including reduced alcohol use.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".