Understanding African American/Black and Latine young and emerging adults living with HIV: a sequential explanatory mixed methods study focused on self-regulatory resources
Bibliographic record
Abstract
BACKGROUND: HIV care continuum engagement is inadequate among African American/Black and Latine (AABL) young/emerging adults living with HIV in the United States. Within this population, some subgroups face barriers to research and are under-studied. Grounded in social action theory, the present study focuses on a diverse community-recruited cohort including those with non-suppressed HIV viral load. Using a sequential explanatory mixed methods design, we describe contextual self-regulatory resources (e.g., substance use, mental health), and their relationships to HIV management. METHODS: Participants (N = 271) engaged in structured baseline assessments and biomarker testing (HIV viral load, drug screening). Being well-engaged in HIV care and HIV viral suppression were the primary outcomes. We purposively sampled a subset for maximum variability for in-depth interviews (N = 41). Quantitative data were analyzed via descriptive statistics and logistic regression, and results were used to develop qualitative research questions. Then, qualitative data were analyzed via directed content analysis. The joint display method was used to integrate results. RESULTS: Participants' mean age was 25 years (SD = 2). The majority (59%) were Latine/Hispanic and 41% were African American/Black. Nearly all were assigned male sex at birth (96%) and identified as gay/bisexual/queer (93%). The average HIV diagnosis was 4 years prior (SD = 3). The majority were well-engaged in HIV care (72%) and evidenced viral suppression (81%). Substance use (tobacco, marijuana, alcohol) was prevalent, mainly at low- and moderate-risk levels. Drug screening indicated marijuana, methamphetamine, and MDMA were the most common recent substances. Symptoms of depression and PTSD were associated with decreased odds of engagement in care. High-risk cannabis use was associated with decreased odds of HIV viral suppression. Qualitative results highlighted the prevalence of substance use in social networks and venues, and the importance of substances as a coping strategy, including for mental health distress. Tobacco and methamphetamine (but not marijuana) were described as problematic, and marijuana was used as harm reduction. Substance use was more common among those with non-suppressed versus suppressed HIV viral load. However, overall, substance use did not commonly interfere substantially with HIV management. CONCLUSIONS: The present study advances knowledge on AABL young/emerging adults living with HIV and highlights ways to improve screening and services.
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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 | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".