A randomized, controlled trial of the family check-up model in public secondary schools: Examining links between parent engagement and substance use progressions from early adolescence to adulthood.
Bibliographic record
Abstract
OBJECTIVE: Substance use in adulthood compromises work, relationships, and health. Prevention strategies in early adolescence are designed to reduce substance use and progressions to problematic use by adulthood. This report examines the long-term effects of offering Family Check-up (FCU) at multiple time points in secondary education on the progression of substance use from age 11 to 23 years. METHOD: Participants (N = 998; 472 females) were randomly assigned individuals to intervention or control in Grade 6 and offered a multilevel intervention that included a classroom-based intervention (universal), the FCU (selected), and tailored family management treatment (indicated). Among intervention families, 23% engaged in the selected and indicated levels during middle school. RESULTS: Intention to treat analyses revealed that randomization to the FCU was associated with reduced growth in marijuana use (p < .05), but not alcohol and tobacco use. We also examined whether engagement in the voluntary FCU services moderated the effect of the intervention on substance use progressions using complier average causal effect (CACE) modeling, and found that engagement in the FCU services predicted reductions in alcohol, tobacco, and marijuana use by age 23. In comparing engagers with nonengagers: 70% versus 95% showed signs of alcohol abuse or dependence, 28% versus 61% showed signs of tobacco dependence, and 59% versus 84% showed signs of marijuana abuse or dependence. CONCLUSION: Family interventions that are embedded within public school systems can reach high-risk students and families and prevent progressions from exploration to problematic substance use through early adulthood. (PsycINFO Database Record
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".