Depression, Anxiety, and Stress Among People With Chronic Hepatitis C Virus Infection and a History of Injecting Drug Use in New South Wales, Australia
Bibliographic record
Abstract
OBJECTIVE: The aims of this study were to assess symptoms of depression, anxiety, and stress and associated sociodemographic factors among people living with chronic hepatitis C virus (HCV) infection with a history of injecting drug use and to assess the association between symptoms of depression, anxiety, or stress and HCV treatment intent, specialist assessment, or treatment uptake. METHODS: The Enhancing Treatment for Hepatitis C in Opioid Substitution Settings was an observational cohort study evaluating the provision of HCV assessment and treatment among people with chronic HCV and a history of injecting drug use, recruited from 9 community health centers and opioid substitution therapy (OST) clinics (New South Wales, Australia). Symptoms were assessed using the Depression Anxiety Stress Scales (DASS-21). Analyses were performed using logistic regression. RESULTS: Among 415 participants (mean age 41 years, 71% male), 47%, 52%, and 36% demonstrated moderate to extremely severe symptoms of depression, anxiety, and stress, respectively. In adjusted analyses, depression symptoms were associated with recent injecting drug use [adjusted odds ratio (aOR) 1.63, 95% confidence interval (CI) 1.07-2.49), whereas stress symptoms were associated with unemployment (aOR 2.99, 95% CI 1.09-8.15) and not living with a spouse or other relatives/friends (aOR 1.55, 95% CI 1.01-2.39). Symptoms of depression, anxiety, or stress or having a history of treated mental illness were not independently associated with HCV treatment intent, specialist assessment, or treatment uptake. CONCLUSIONS: Findings suggest a need for improved interventions and care regarding mental health among people living with chronic HCV with a history of injecting drug use, but suggest that symptoms of depression, anxiety, and stress should not be immediate contraindications to HCV assessment and treatment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".