Mastery and Coping Moderate the Negative Effect of Acute and Chronic Stressors on Mental Health-Related Quality of Life in HIV
Bibliographic record
Abstract
Acute and chronic life stressors have a detrimental effect on the health of people living with HIV. Psychosocial resources such as mastery, coping, and social support may play a critical role in moderating the negative effects of stressors on health-related quality of life. A total of 758 participants provided baseline enrolment data on demographics (age, gender, ethnicity, sexual orientation, education, employment, income), clinical variables (CD4 counts, viral load, AIDS-defining condition, time since HIV diagnosis), psychosocial resources (mastery, coping, social support), life stressors (National Population Health Survey [NPHS] Stress Questionnaire), and health-related quality of life (SF-36). We performed hierarchical multivariate regression analyses to evaluate the potential moderating effects of psychosocial resources on the relationship between stressors and health-related quality of life. The top three stressors reported by participants were trying to take on too many things at once (51%), not having enough money to buy the things they needed (51%), and having something happen during childhood that scared them so much that they thought about it years later (42%). Life stressors were significantly and inversely associated with both physical and mental health-related quality of life. Mastery and maladaptive coping had significant moderating effects on mental health but not on physical health. These results suggest that developing interventions that improve mastery and reduce maladaptive coping may minimize the negative impact of life stressors on the mental health of people with HIV. They also highlight that it is important for clinicians to be mindful of the impact of life stressors on the health of patients living 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".