Effects of Depression, Anxiety, Stigma, and Disclosure on Health-Related Quality of Life among Chronic Hepatitis B Patients in Dalian, China
Why this work is in the frame
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Bibliographic record
Abstract
Chronic hepatitis B virus (HBV) infection is a major public health problem in China. We evaluated the impact of psychosocial factors (stigma, disclosure, depression, and anxiety) on health-related quality of life (HRQoL) among people living with chronic HBV infection (CHB) in the city of Dalian, Liaoning Province, China. In this hospital-based cross-sectional study, 401 patients living with chronic HBV infection were enrolled as study participants. Study measures included the Beck depression and anxiety inventory, the WHO Quality of Life (WHOQOL-BREF) assessment, the Toronto Chinese HBV Stigma Scale, and disclosure of HBV status to sexual partners. The primary outcome was HRQoL score as measured by the WHOQOL-BREF. A linear regression model was used to examine the association between HRQoL and the potential risk factors including stigma, disclosure, depression, anxiety, and sociodemographic variables. Stigma, disclosure, depression, and anxiety were the covariates of interest. A majority of the participants were females ( n = 251, 65.6%), married (81.6%), and had a college or higher degree (32.4%). Depression, anxiety, stigma, and disclosure of HBV infection were associated with low HRQoL in all four domains of the WHOQOL-BREF (physical, psychological, social, and environmental domains) ( P < 0.05), when all psychological factors were included in the model separately. Depression was found to be independently associated with low HRQoL in people living with HBV, when all psychological factors were included in the model simultaneously ( P < 0.0001). Our data indicate the urgent need for healthcare providers (HCPs) and policy-makers to implement psychological interventions to improve HRQoL among people living with CHB.
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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 | 0.000 | 0.003 |
| 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 | 0.001 |
| 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 it