Risk Factors for Depression Among Middle-Aged to Older People Living With HIV in Lima, Peru
Bibliographic record
Abstract
INTRODUCTION: Depression is prevalent among aging people living with HIV (PLWH) worldwide. We sought to identify depression risk factors among a group of middle-aged and older PLWH in Lima, Peru. MATERIALS AND METHODS: We assessed risk factors for depression among PLWH over age 40 receiving care in an HIV clinic in Lima, Peru. The Patient Health Questionnaire-9 (PHQ-9) was administered. We performed descriptive statistics and logistic regression analyses. RESULTS: Mean age was 51.7 ± 7.7 years with 15.3% females. One-quarter of participants had depression with higher frequency in females. Risk factors that significantly increased the risk of depression included female sex (adjusted prevalence ratio [aPR] = 2.19 [95%CI 1.07-4.49]), currently smoking (aPR = 2.25 [95%CI 1.15-4.43]), and prior opportunistic infection (aPR = 2.24 [95%CI 1.05-4.76]). DISCUSSION: Our study demonstrates that PLWH who are female, current smokers, or had an opportunistic infection have higher risk of depression. Identifying PLWH at-risk for depression is key to early mental health interventions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".