Evidence map›Paper›PMID 38418647›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2024

Structural Discrimination against and Structural Support for Lesbian, Gay, and Bisexual People as a Predictor of Late HIV Diagnoses among Black Men who Have Sex with Men.

Leslie D Williams, Sarah C McKetta, Ronald Stall, Stephanie Beane, Umedjon Ibragimov, Barbara Tempalski, H Irene Hall, Anna Satcher Johnson, Guoshen Wang, Samuel R Friedman

Open access · greenAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 1 country.

Leslie D WilliamsDivision of Community Health Sciences, University of Illinois Chicago School of Public Health, 1603 W. Taylor Street, Rm. 677 (MC 923), Chicago, IL, 60612, USA. lesliedw@uic.edu.ORCID 0000-0003-3071-5966
Sarah C McKettaColumbia University, New York, NY, USA.
Ronald StallUniversity of Pittsburgh, Pittsburgh, PA, USA.
Stephanie BeaneRollins School of Public Health, Emory University, Atlanta, GA, USA.
Umedjon IbragimovRollins School of Public Health, Emory University, Atlanta, GA, USA.
Barbara TempalskiInstitute for Infectious Disease Research, National Development and Research Institutes, New York, NY, USA.
H Irene HallCenters for Disease Control and Prevention, Atlanta, GA, USA.
Anna Satcher JohnsonCenters for Disease Control and Prevention, Atlanta, GA, USA.
Guoshen WangCenters for Disease Control and Prevention, Atlanta, GA, USA.
Samuel R FriedmanDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Centers for Disease Control and Prevention · USEmory University · USChicago Department of Public Health · USHarvard University · USNational Development and Research Institutes · USNew York University · USUniversity of Pittsburgh · US

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan, Courtney McKnight · 1998 to 2026
$38.9M
Metropolitan Trajectories of HIV Epidemics, Drug Use, and Responses in US Key PopulationsR01DA037568 · NIDA · EMORY UNIVERSITY · PI COOPER, HANNAH LF, FRIEDMAN, SAMUEL R · 2014 to 2018
$4.0M
NIDA NIH HHS P30 DA011041NIDA NIH HHS P30DA011041NIDA NIH HHS R01 DA037568NIDA NIH HHS R01DA037568
6 · The paper itself

Abstract

Black men who have sex with men (MSM) have been consistently reported to have the highest estimated HIV incidence and prevalence among MSM. Despite broad theoretical understanding that discrimination is a major social and structural determinant that contributes to disparate HIV outcomes among Black MSM, relatively little extant research has empirically examined structural discrimination against sexual minorities as a predictor of HIV outcomes among this population. The present study therefore examines whether variation in policies that explicitly discriminate against lesbian, gay, and bisexual (LGB) people and variation in policies that explicitly protect LGB people differentially predict metropolitan statistical-area-level variation in late HIV diagnoses among Black MSM over time, from 2008 to 2014. HIV surveillance data on late HIV diagnoses among Black MSM in each of the 95 largest metropolitan statistical areas in the United States, from 2008 to 2014, were used along with data on time-varying state-level policies pertaining to the rights of LGB people. Results from multilevel models found a negative relationship between protective/supportive laws and late HIV diagnoses among Black MSM, and a positive relationship between discriminative laws and late HIV diagnoses among Black MSM. These findings illuminate the potential epidemiological importance of policies pertaining to LGB populations as structural determinants of HIV outcomes among Black MSM. They suggest a need for scrutiny and elimination of discriminatory policies, where such policies are currently in place, and for advocacy for policies that explicitly protect the rights of LGB people where they do not currently exist.

Indexed as

Black or African AmericanHIV InfectionsHomosexuality, MaleSexual and Gender MinoritiesAdultFemaleHumansMaleMiddle AgedUnited StatesYoung AdultBlack Men Who Have Sex with MenConcurrent HIV DiagnosesDiscrimination against Lesbian, Gay, and Bisexual PeopleLate HIV DiagnosesStructural Discrimination

Identifiers

PMID38418647
PMCPMC11052741
OpenAlexW4392242673

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.