Investigating the Moderating Effect of HIV Status Disclosure on the Link Between Discrimination Experience and Psychological Distress Among People Living with HIV in Japan Infected Through Sexual Contact
Bibliographic record
Abstract
BACKGROUND: There is a scarcity of research on the potential impact of disclosing HIV status to friends and family in moderating the adverse effects of discrimination on the mental health of people living with HIV (PLWH). This study assessed the experiences of discrimination and HIV status disclosure among PLWH in Japan, and evaluated their potential associations with psychological distress. METHOD: Data were derived from a nationwide cross-sectional survey of PLWH conducted in Japan between 2019 and 2020. The interaction effects of HIV-related discrimination and HIV status disclosure on the psychological distress were examined using logistic and linear regression analyses. RESULTS: The median age of the 804 respondents was 46 years old. Most respondents were male and 85.4% (687/804) identified as homosexuals or bisexuals. A total of 12.7% (102/804) of the respondents reported that they had recently experienced discrimination because of their HIV status. Experience of HIV-related discrimination was independently associated with high psychological distress (adjusted OR 2.02; 95% CI, 1.15-3.57), and HIV status disclosure to friends partially weakened the association between discrimination and the level of psychological distress (regression coefficient -3.115; p = 0.004). CONCLUSION: While measures that aim to end discrimination remain vital, increasing the opportunities of PLWH to communicate with friends they feel comfortable disclosing their HIV status may also be helpful in protecting their mental health.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".