Mental health characteristics and their associations with childhood trauma among subgroups of people living with HIV in China
Bibliographic record
Abstract
BACKGROUND: People living with HIV (PLWH) carry a high risk for mental health problems, which has been extensively reported in the literature. However, an understanding of mental health characteristics in different subgroups of PLWH is still limited. In the present study, we conducted a cross-sectional survey to explore mental health characteristics and their associations with childhood trauma in two major subgroups of PLWH in China. METHODS: A total of 533 PLWH (213 prisoners in the prison system, and 320 outpatients) were assessed using the 8-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-P8), Generalized Anxiety Disorder scale (GAD-7), Patient Health Questionnaire (PHQ-9), and Childhood Trauma Questionnaire (CTQ). RESULTS: From the total sample, 22.0% PLWH frequently experienced psychotic-like experiences (PLEs), 21.8% had clinically significant anxiety syndrome, 34.0% had clinically significant depressive syndrome, and 63.6% experienced at least one type of traumatic exposure during their childhood, with physical neglect being the most common. Compared to outpatients with HIV, prisoners living with HIV reported more severe mental health problems and a higher frequency of childhood trauma, with childhood trauma in turn predicting higher risk for mental health problems. Similarly, among outpatients living with HIV, both childhood emotional and sexual abuse had predictive effects on all the three mental health problems. CONCLUSIONS: The study suggests that PLWH have higher risk of anxiety, depression and PLEs, and childhood trauma could serve as predicting factors for such risks. In addition, childhood trauma may play distinct roles in predicting the risk for the mental health problems, depending on different subgroup of PLWH.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".