Hazardous drinking, alcohol use disorders, and need for treatment among Pacific Islander young adults.
Bibliographic record
Abstract
Pacific Islander (PI) young adults are suspected to bear heavy risk for hazardous drinking, alcohol use disorders (AUD), and alcohol-related harms. Yet, PIs remain among the most understudied racial groups in the United States-creating a lack of empirical data documenting their alcohol use problems and treatment needs. The present study presents the first known data on PI young adults' hazardous drinking, possible AUDs, alcohol-related harms, and treatment needs. Survey data were collected from 156 community-dwelling PI young adults (40% women, age 18-30 years) in 2 large PI communities: Los Angeles County and Northwest Arkansas. We screened participants for alcohol, cigarette, and marijuana use, hazardous drinking, possible AUD, alcohol-related harms, and past-year need for mental health and substance use disorder (SUD) treatment. Logistic regressions examined whether experiencing possible AUD and alcohol-related harms were associated with past-year need for treatment. PI young adults reported 78% lifetime rate of alcohol use with 56% screening positive for hazardous drinking, 49% for any possible AUD, and 40% experiencing significant alcohol-related harm (e.g., health, finances). Yet, just 25% of participants reported past-year need for SUD treatment. Although having possible AUD was not associated with perceived SUD treatment need, experiencing any alcohol-related harm associated with 4.7-13.2 times greater adjusted odds for needing treatment. Therefore, despite having low self-perceived treatment need, PI young adults experience excessive burden of hazardous drinking and alcohol-related harms. Given the profound negative social and health effects of AUDs, culturally grounded interventions should be designed to reduce PI young adults' elevated rates of hazardous drinking and alcohol-related harms. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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) | 0.001 | 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 | 0.000 |
| 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".