Quality of life and physical functioning in HIV‐infected individuals receiving antiretroviral therapy in KwaZulu‐Natal, South Africa
Bibliographic record
Abstract
KwaZulu-Natal province, South Africa, accounts for 28.7% of the HIV infection total and one-third of infections among youth and children in South Africa. The purpose of this study was to examine the variables of HIV/AIDS symptoms, social support, influence of comorbid medical problems, length of time adhering to antiretroviral therapy medications, quality of life, adherence to antiretroviral medications, and physical functioning in HIV-infected individuals. Based on our model, the combination of these variables was found to determine physical functioning outcomes and adherence to HIV medications. Significant relationships were observed between physical functioning and the dependent variables of length of time on medications, comorbid health problems, and social support. A linear regression model was built to determine the degree to which these variables predicted physical functioning. In total, these predictor variables explained 29% of the variance in physical functioning. These results indicate that those individuals who reported a greater length of time on medications, fewer comorbid health problems, and greater social support had better physical functioning.
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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 | 0.002 |
| 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 | 0.001 | 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".