Clinical correlates of suicidality among individuals with HIV infection and AIDS disease in Mbarara, Uganda
Bibliographic record
Abstract
The association between suicidality and HIV/AIDS has been demonstrated for three decades, but little is know about risk factors that can help understand this association and help identify who is most at risk. Few research studies have been conducted in sub-Saharan Africa, a region that accounts for more than 70% of the HIV global burden. This paper describes clinical risk factors for suicidality among individuals with HIV infection and AIDS disease in Mbarara, Uganda. In this study, suicidality includes both suicidal ideation and suicidal attempts. A cross-sectional survey was conducted with 543 HIV-positive individuals aged 15 years and above, recruited from 2 HIV specialised clinics in Mbarara. Using logistic regression analysis, factors significantly associated with suicidality at 95% confidence interval were identified. The rate of suicidality was 10% (n = 54; 95% CI: 5.00-15.00). Risk factors for suicidality were: perception of poor physical health (OR 2.22, 95% CI 1.23-3.99, p = 0.007), physical pain (OR 1.83, 95% CI 1.01-3.30, p = 0.049), reducing work due to illness (OR = 2.22, 95% CI 1.23-3.99, p = 0.004) and recent HIV diagnosis (OR 1.02, 95% CI 1.01-1.03, p = 0.001). These findings suggest that HIV/AIDS in south-western Uganda is associated with a considerable burden of suicidality. HIV is associated with several clinical factors that increase vulnerability to suicidality. There is need for more appropriate interventions targeting these clinical risk factors, systematic suicide risk assessment and management of suicidal ideation and behaviours in HIV care.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".