Effectiveness of a mindfulness and acceptance-based intervention for improving the mental health of adolescents with HIV in Uganda: An open-label trial
Bibliographic record
Abstract
Adolescents with HIV (AWH) face the double burden of dealing with challenges presented by their developmental phase while coping with stigma related to HIV, affecting their mental health. Poor mental health complicates adherence to daily treatment regimens, requiring innovative psychosocial support strategies for use with adolescents. We assessed the effectiveness of a mindfulness and acceptance-based intervention on the mental health of AWH in Uganda. One hundred and twenty-two AWH, mean age 17 ±1.59 (range 15 to 19 years), 57% female, receiving care at a public health facility in Kampala were enrolled in an open-label randomized trial (ClinicalTrials.gov: NCT05010317) with assessments at pre-and post-intervention. The mindfulness and acceptance-based intervention involved weekly 90-minute group sessions for four consecutive weeks facilitated by two experienced trainers. Sessions involved clarifying values, skillfully relating to thoughts, allowing and becoming aware of experiences non-judgmentally, and exploring life through trial and error. The control group received the current standard of care. Three mental health domains (depression, anxiety, and internalized stigma) were compared between the intervention and control groups. A linear mixed effects regression was used to analyze the effect of the intervention across the two time points. Results showed that the intervention was associated with a statistically significant reduction in symptoms of depression (β = -10.72, 95%CI: 6.25, -15.20; p < .0001), anxiety (β = -7.55, 95%CI: 2.66, -12.43; p = .0003) and stigma (β = -1.40, 95%CI: 0.66 to -2.15; p = .0004) over time. Results suggest that mindfulness and acceptance-based interventions have the potential to improve the mental health of AWH.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".