Risk Factors for Viral Non-Suppression among People Living with HIV and Major Depressive Disorder in Uganda
Bibliographic record
Abstract
Background: Several studies indicate that depression is associated with non-viral suppression among persons living with HIV (PLWH) using antiretroviral therapy (ART) worldwide. However, among PLWH with major depressive disorder, factors associated with non-viral suppression remain uncertain. We determined the prevalence and identified the factors associated with viral non-suppression among PLWH with major depressive disorder using ART in Northern Uganda. Method: A total of 30 primary care HIV clinics across three northern districts (Gulu, Kitgum, Pader) participated in the study. Using baseline data from the SEEK-GSP study, a cluster-randomized trial in northern Uganda (2016-2019) that involved 1140 PLWH with mild to moderate major depressive disorder; we examined the demographic, clinical, and psychosocial factors using standardized questionnaires. Data on viral load was abstracted from clinic records and dichotomized into suppressed (<1000 viral copies/mL) and non-suppressed (≥1000 viral copies/mL). We used generalized linear regression models to evaluate the factors associated with non-viral suppression. Results: We recruited 1140 PLWH. The viral non-suppression prevalence was 12.2%. In multivariable analysis, the only baseline psychosocial variable independently associated with non-viral suppression was suicide risk (PRR = 1.56, 95% CI: 1.05 - 2.32, p-value = 0.029). The prevalence odds for non-viral suppression were 56% higher among depressed PLWH with moderate to high suicide risk than those with low suicide risk. Among clinical variables, duration on ART ≥ 4 years was independently associated with non-viral suppression (PRR = 1.62, 95% CI: 1.09 - 2.32, p-value = 0.015). Conclusions: Suicide risk and longer duration on ART are associated with non-viral suppression among anti-retroviral therapy users with mild to moderate major depressive disorder in Uganda. As ART is scaled up across Sub-Saharan Africa, first-line psychological care for depression and its complications is urgently needed in established HIV treatment centers.
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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 | 0.003 |
| 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 | 0.001 |
| 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".