Family-Related Stress versus External Stressors: Differential Impacts on Alcohol and Illicit Drug Use in Young Men
Bibliographic record
Abstract
Intense stress increases substance use (SU). However, little is known about the extent to which distinctive forms of stress should be weighted with regard to their effects on SU. This study aimed to determine whether family-related stress factors (FSF) influenced SU in a different way than external stress factors (ESF). Data was drawn from a Swiss cohort study on SU risk factors (C-SURF), involving 5,308 young adult men. Twelve month use of alcohol and of illicit substances was assessed. FSF and ESF for the time period preceding SU were measured. FSF and ESF were both significantly associated with SU. FSF had a greater impact on the use of most substances than did ESF. The FSF with the strongest association with SU was lack of parental monitoring. Regarding ESF, the cumulative number of stressful external events had a higher impact on SU than previous physical or sexual assault by a stranger. In contrast, physical or sexual assault by a family member was not found to be associated with subsequent SU. These findings have important implications for SU prevention programmes focusing on male teenagers, as it is difficult to screen and intervene in subtle forms of maltreatment in families.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".