Moderators of the Association Between Exposure to Violence in Community, Family, and Dating Contexts and Substance Use Disorder Risk Among North American Indigenous Adolescents
Bibliographic record
Abstract
Exposure to violence and substance abuse are salient public health concerns among Indigenous people (i.e., American Indian and Canadian First Nations). Despite this, little research has examined the association between the two among community-based reservation/reserve samples, or factors within the broader social environment that may moderate this association. As such, the purpose of the study is to examine ecological moderators of the association between direct (i.e., dating violence victimization) and indirect (i.e., current perceptions of community violence and prospective caretaker-reported victimization exposure) exposure to violence and meeting diagnostic criteria for a substance use disorder among a large longitudinal sample of Indigenous youth and their caretakers in the upper-Midwest of the United States and Canada ( N = 521). Data come from the last two waves of the study, when the adolescents were between the ages of 16 and 19 years. The results show relatively high rates of direct and indirect violence exposure by late adolescence. Logistic regression models with added interaction terms were examined to test moderating effects. Per capita family income and remote location both amplified the positive association between current community violence exposure and substance use disorder risk. Family warmth and support buffered the association between caretaker victimization exposure and substance use disorder risk, whereas dating violence victimization exposure amplified this association. The findings are contextualized for Indigenous communities, and substance abuse prevention and intervention implications are discussed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".