Typologies of child maltreatment and peer victimization and the associations with adolescent substance use: A latent class analysis
Bibliographic record
Abstract
BACKGROUND: Child maltreatment and peer victimization are pervasive public health problems associated with adolescent substance use. Although child maltreatment has been identified as a risk factor for peer victimization, few studies have investigated their co-occurrence (i.e., polyvictimization). The study objectives were to: examine sex differences in the prevalence of child maltreatment, peer victimization, and substance use; identify polyvictimization patterns; and examine the associations between the identified typologies and adolescent substance use. METHODS: Data were self-reported from a sample of adolescents aged 14 to 17 years (n = 2910) who participated in the provincially-representative 2014 Ontario Child Health Study. Latent class analysis with distal outcomes was conducted to identify typologies of six types of child maltreatment and five types of peer victimization and examine the associations between the polyvictimization typologies and use of cigarettes/cigars, alcohol, cannabis, and prescription drugs. RESULTS: Four typologies were identified: Low victimization (76.6 %), Violent home environment (16.0 %), High verbal/social peer victimization (5.3 %), and High polyvictimization (2.1 %). The Violent home environment and High verbal/social peer victimization typologies were associated with increased odds of adolescent substance use (adjusted odds ratio range: 2.06-3.61). The High polyvictimization typology showed increased, but non-significant, odds of substance use. CONCLUSIONS: Adolescent-serving health and social services professionals should be aware of polyvictimization patterns and the impact on substance use. For some adolescents, polyvictimization may include exposure to multiple child maltreatment and peer victimization types. Upstream strategies to prevent child maltreatment and peer victimization are needed, which may also contribute to reductions in adolescent substance use.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".