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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".