Psychosocial, mental health, and behavioral issues of aging with HIV
Bibliographic record
Abstract
PURPOSE OF REVIEW: People with HIV continue to live with the health consequences of an episodic illness that limits their ability to fully participate in society, particularly for the growing number of older people living with HIV. The present review describes the recent evidence exploring the psychosocial challenges facing older adults living with HIV. RECENT FINDINGS: Aging for people with HIV may be more challenging than for the general population because of HIV-related stigma, loss of friends and social networks, and the detrimental effects that HIV and antiretroviral treatment have on normal aging processes. Older people with HIV are more likely to experience mental health and neurocognitive impairment than their HIV-negative counterparts, as well as more social isolation as a result of decreased social participation and engagement. People develop different approaches for coping with the challenges associated with aging with HIV. SUMMARY: As this field of research evolves, many research gaps need to be addressed, including a better conceptualization and measurement of successful aging and the development of high-quality integrated care, programs, and services tailored to the needs of older people with HIV. A more integrated policy response is needed to improve the psychosocial and economic well being of older people with HIV.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".