ArticleJournal of urban health : bulletin of the New York Academy of Medicine2020
Mental Health Consequences of Sexual Misconduct by Law Enforcement and Criminal Justice Personnel among Black Drug-Involved Women in Community Corrections.
Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Characteristics of drug-involved black women under community supervision; implications for retention in HIV clinical trials and healthcare.Social work in health careTrial
- Patterns of intimate partner violence among black women in community supervision programs who use drugs: a latent class analysis.Health & justice · 2025Article
- Enhancing HIV Prevention Efforts in the Criminal Legal System: A Comprehensive Review and Recommendations.Current HIV/AIDS reports · 2025Review
- 'Yeah, they suck. It's like they don't care about our health.' Medical mistrust among Black women under community supervision in New York city.Culture, health & sexuality · 2025Article
- The Impact of Racism, Class, and Criminal Justice on Women's Distress and Health: A Reinforcing Cycle of Social Disadvantage.American journal of public health · 2023Article
- Association Between Multiple Experiences of Violence and Drug Overdose Among Black Women in Community Supervision Programs in New York City.Journal of interpersonal violence · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
This study examines the prevalence, correlates, and mental health consequences of sexual misconduct by law enforcement and criminal justice (LECJ) personnel. Baseline data for Project E-WORTH (Empowering African-American Women on the Road to Health) were collected between November 2015 and May 2018 from 351 drug-involved Black women from community corrections in New York City. LECJ sexual misconduct was self-reported and we measured mental health outcomes with the CESD-4 and the PTSD Checklist. Univariate and multivariable logistic regression analyses were performed. Approximately 14% of our sample had experienced LECJ sexual misconduct. Participants who reported multiple arrests, recent drug use, and having experienced childhood sexual victimization were more likely to have experienced LECJ sexual misconduct. Further, LECJ sexual misconduct was positively associated with depression and PTSD. These findings suggest that LECJ sexual misconduct is a previously unreported risk factor for adverse mental health outcomes among criminal-legal system-involved women. There is a need for recognition of LECJ sexual victimization among criminal-legal system-involved women. As such, prevention, treatment, and community corrections service delivery for this population should be trauma informed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.