Drug Use-related Problems Are Associated with Poorer Health-related Quality of Life: A Community Study of Korean Adults
Bibliographic record
Abstract
Objective: This study aimed to assess the prevalence of drug use-related problems in a Korean community sample and to examine the association between drug use-related problems and health-related quality of life (HRQOL). Methods: Data were collected from 500 community-dwelling adults residing in Jeju, Korea. Drug use-related problems were assessed using the Drug Abuse Screening Test-10, and HRQOL was measured using the 26-item abbreviated version of the World Health Organization Quality of Life instrument. Results: A total of 25 participants (5.0%) reported experiencing drug use-related problems in the previous 12 months. Multivariate analysis revealed that drug use-related problems were significantly associated with lower scores in all HRQOL domains, i.e., physical health, psychological health, social relationships, and environment, even after adjusting for relevant covariates. Conclusion: Drug use-related problems were strongly associated with poorer HRQOL. These findings imply that clinicians should pay close attention to HRQOL when evaluating and treating individuals with illicit drug 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".