Socio-economic factors and health-related quality of life in adults living with HIV
Bibliographic record
Abstract
This study examined the relationships of income, employment status and other socioeconomic characteristics with dimensions of health-related quality of life (HRQOL) for those living with HIV/AIDS, controlling for clinical characteristics. Demographic (gender, age, education, living with a partner, HIV transmission category), economic (employment status, monthly household income, volunteer experience), clinical (CD4 count, AIDS defining illness, time since diagnosis, number of HIV symptoms, and highly active antiretroviral therapy), and HRQOL measures (five Medical Outcomes Study HIV Health Survey subscales) were obtained from 308 consenting HIV clinic patients in Calgary, Canada. Multiple regression results indicate that the strongest predictor of the five QL subscales is employment status, while income was significant as an independent predictor in two of the models. Other socioeconomic characteristics were not consistently significant predictors of HRQOL subscales. The contribution of employment to HRQOL is important to explore further, and suggest the need for flexibility in income support and return-to-work programmes for those with HIV.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".