Adverse Childhood Experiences and Substance Use: The Mediating Role of Perceptions of Harm and Peer and Parental Attitudes
Bibliographic record
Abstract
Objectives: Adverse childhood experiences (ACEs) are related to the development of a range of mental health problems and risky behaviors. Generally, adolescents who experienced a greater number of ACEs have been found to be at increased risk of substance use behaviors. This study investigated the association between ACEs and substance use (i.e., cigarette smoking, binge drinking, and cannabis use) as mediated by perceptions of harm and perceived peer and parental attitudes towards each substance.Methods: A survey was completed by 6,304 students aged 12 to 18 (M = 14.75, SD = 1.76) in Wood County, Ohio, assessing ACEs, substance use behaviors, perceptions of harm and perceived peer and parental attitudes towards each substance. Mediation models controlling for age and gender were conducted for each substance use behavior including perceptions of harm and perceived peer and parental attitudes specific to each substance.Results: Controlling for age and gender, perceptions of harm and peer attitudes towards binge drinking partially mediated the relationship between ACEs and past month binge-drinking. For past month cannabis and cigarette smoking, peer and parental attitudes, but not perceptions of harm, partially mediated the relationship between ACEs and past month engagement in these substances.Implications: Greater perceptions of harm and negative attitudes by parents or peers may be protective against substance use behaviors among youth that have experienced ACEs. Early interventions focusing on increasing perceptions of harm along with promoting negative parental and peer attitudes towards substance use could decrease rates of use among those who experienced ACEs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".