Police harassment and psychosocial vulnerability, distress, and depressive symptoms among black men who have sex with men in the U.S.: Longitudinal analysis of HPTN 061
Bibliographic record
Abstract
The mental health impact of exposure to police harassment is understudied, particularly among Black men who have sex with men (BMSM), a group at elevated risk of exposure to such discrimination. This study aimed to identify the associations among BMSM between recent police harassment and psychosocial vulnerability, psychological distress, and depression measured six months later. Data come from the HIV Prevention Trials Network (HPTN) 061 Study, a cohort study of BMSM recruited in 6 U.S. cities (Atlanta, GA, Boston, MA, Los Angeles, CA, New York, NY, San Francisco, CA, and Washington DC). Participants completed baseline, 6-month follow-up, and 12-month follow-up interviews. A convenience sample of 1553 BMSM was recruited between July 2009 and October 2010 of whom 1155 returned for a follow-up interview 12 months later. Accounting for previous police interaction, poverty, psychopathology, drug use, and alcohol use, we estimated associations between recent police harassment reported at the 6 month follow-up interview and 12 month outcomes including psychosocial vulnerability (elevated racial/sexual identity incongruence), psychological distress (being distressed by experiences of racism and/or homophobia), and depression. About 60% of men reported experiencing police harassment between the baseline and 6-month interview due to their race and/or sexuality. Adjusted analyses suggested police harassment was independently associated with a 10.81 (95% CI: 7.97, 13.66) point increase and 8.68 (95% CI: 6.06, 11.30) point increase in distress due to experienced racism and distress due to experienced homophobia scores, respectively. Police harassment perceived to be dually motivated predicted disproportionate levels of distress. Police harassment is prevalent and associated with negative influences on psychosocial vulnerability and psychological distress among BMSM. Reducing exposure to police harassment may improve the psychosocial health of BMSM.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".