The influence of substance use on depressive symptoms among young adult black men: The sensitizing effect of early adversity
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Depressive symptoms have been identified as an important consequence of substance use. Both heavy drinking and marijuana use have acute and short-term effects on systems that regulate emotion, increasing the potential for substance use to induce problems with negative affect and irritability. We investigated the effects of alcohol and marijuana use on depressive symptoms among a sample of young Black men. We also tested the stress sensitization hypothesis that exposure to adverse childhood experiences would amplify the influence of substance use on men's depressive symptoms. METHODS: Hypotheses were tested with 505 rural Black men who, at ages 19-22 years, provided data on their substance use, adverse childhood experiences, and depressive symptoms; they provided data again 18 months later. RESULTS: Substance use forecasted increases in depressive symptoms; cross-lagged analyses yielded no evidence for the inverse path, depressive symptoms increasing substance use. The impact of substance use on depressive symptoms was amplified among young Black men who were exposed to adverse childhood experiences. Substance use did not significantly predict depressive symptoms when adversity was low. DISCUSSION AND CONCLUSIONS: Our findings suggest that, during young adulthood, substance use increases depressive symptoms among Black men who were exposed to childhood adversity. Because childhood adversity disproportionately affects Black men, these findings inform future cross-group research designed to investigate racial disparities in the consequences of substance use. SCIENTIFIC SIGNIFICANCE: Depressive symptoms may be understood as an effect as well as a cause of substance use, particularly among vulnerable young Black men. (Am J Addict 2017;26:400-406).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it