Dreams Interrupted: A Secondary Data Analysis Unraveling Predictors and Correlates of Insomnia Symptoms and Sleep Distress Among Ghanian Men Who Have Sex With Men Living With HIV
Bibliographic record
Abstract
ABSTRACT: Insomnia symptoms, including difficulty sleeping and daytime fatigue, are prevalent among people living with HIV, particularly men who have sex with men. In Ghana, criminalization and marginalization exacerbate these sleep disturbances. Our study analyzed 2017 survey data from 225 men who have sex with men living with HIV using logistic regression and generalized boosted models. Results showed 42.1% reported insomnia symptoms, with 33.8% finding them distressing. Enacted stigma, internalized stigma, same-sex behavior stigma, and perceived stress were key risk factors, whereas a sense of community and basic needs satisfaction were protective. Given these findings, integrating routine sleep assessments into HIV care, incorporating stigma-reduction interventions, and strengthening community-based support programs can improve sleep and overall health. Tailored psychosocial interventions addressing stress and stigma, alongside structural policies fostering inclusion, can enhance engagement in HIV care and mitigate sleep-related health disparities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".