Early, Late and Sequential Psychosocial Mediators of Reduction in Depression Symptoms Six Months Following Group Support Psychotherapy among People Living with HIV in Uganda: A Longitudinal Mediation Analysis
Bibliographic record
Abstract
Background: Group Support Psychotherapy (GSP) is an evidence-based treatment for mild to moderate depression among people living with HIV(PLWH). However, little is known about which psychosocial processes mediate its effects on reduction in depression symptoms and how these processes emerge and evolve over time. Methods: We conducted a secondary analysis of a cluster-randomised trial in Uganda, comparing GSP to Group HIV Education among PLWH with mild to moderate depression. Using generalised structural equation modelling, we assessed whether changes in psychosocial factors mediated intervention effects on reduction of depression symptoms at 2 and 6 months. Single-mediator and sequential mediation models were used to evaluate early, late, and sequential psychosocial pathways. Indirect effects were estimated using bias-corrected bootstrap confidence intervals. Analyses accounted for clustering at the health-center level and district stratification, with additional sensitivity analyses accounting for health workers nested within health centers. Results: In single mediator analyses, psychosocial changes occurring during therapy showed evidence of contributing to reduction in depression symptoms both at the end of treatment and six months later, although these effects were generally modest and sensitive to clustering assumptions. Improvements in active coping and decreased denial, behavioral disengagement, alcohol use and self-blame during therapy mediated symptom reduction with modest indirect effects. In contrast, post-treatment improvements in self-esteem, help-seeking, positive reframing, acceptance, and decreased stigma demonstrated larger and more robust indirect effects. Sequential mediation analyses suggest that mediation effects of emotional support seeking initiated during therapy, continued and strengthened over time, whereas mediation effects of self-esteem and stigma reduction emerged only after treatment. Conclusion: Reduction in depression symptoms following GSP appears to be a dynamic process in which early psychosocial changes initiate symptom improvement, while later psychosocial changes sustain and strengthen these effects over time. Emotional support seeking may function as an upstream process that facilitates broader psychosocial change.
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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 | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".