Evidence map›Paper›PMID 40660021›Full record

ArticleArchives of sexual behavior2025

Measurement of Sexual Behavior Stigma in Cisgender Mexican Sexual Minority Men: Contextual Considerations of Living in Mexico or the United States.

Jane J Lee, Liying Wang, John Mark Wiginton, Sarah M Murray, Stefan D Baral, Roxanne P Kerani, David A Katz, Tanmay Bhanushali, Anh-Minh Nguyen, Yingying Wei and 3 more

Abstract read
In one paragraph

Article in Archives of sexual behavior, 2025. 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
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.

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

13 authors.

Jane J LeeSuzanne Dworak-Peck School of Social Work, University of Southern California, 669 West 34th Street, Los Angeles, CA, 90089-0411, USA. jlee6288@usc.edu.ORCID 0000-0002-7047-9315
Liying WangInstitute on Digital Health and Innovation, College of Nursing, Florida State University, Tallahassee, FL, USA.
John Mark WigintonDepartment of Medicine, University of California San Diego, San Diego, USA.
Sarah M MurrayDepartment of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Stefan D BaralProgram for Implementation and Equity Research, Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Roxanne P KeraniDepartment of Medicine, University of Washington, Seattle, WA, USA.
David A KatzDepartment of Global Health, University of Washington, Seattle, WA, USA.
Tanmay BhanushaliUniversity of Washington, Seattle, USA.
Anh-Minh NguyenUniversity of Washington, Seattle, USA.
Yingying WeiUniversity of Washington, Seattle, USA.
Ricardo Baruch-DominguezClinica VIHva, Mexico City, Mexico.
Travis H SanchezDepartment of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Laramie R SmithDivision of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI036214NIAID NIH HHS P30 AI050409NIDA NIH HHS T32 DA023356NIDA NIH HHS T32DA023356NIH HHS P30AI036214NIH HHS P30AI050409
6 · The paper itself

Abstract

We used data from the 2018 and 2019 cycles of the American Men's Internet Survey (AMIS) and the Encuesta de Sexo Entre Hombres (ESEH) (2017) to investigate measurement invariance of a sexual behavior stigma scale among Mexican gay, bisexual, and other sexual minority men (SMM). Employing both a two- and three-group multiple group confirmatory factor analysis (MGCFA), we established configural invariance of the scale, suggesting a uniform factor pattern structure across Mexican SMM subgroups based on country of origin and country of residence: (1) Mexican SMM in the ESEH dataset (N = 15,015), (2) Mexican SMM born in Mexico in the AMIS data (N = 218), and (3) Mexicans born in the USA in the AMIS data (N = 1606). The three-group MGCFA models, which separated the Mexican SMM in the USA who were born in Mexico from those who were born in the USA, demonstrated greater robustness, suggesting that the experiences of stigma among individuals within each group were more similar than when the two AMIS groups were combined. The nuanced findings underscore the importance of considering both nativity and current residence in studying sexual behavior stigma among Mexican SMM. Variations in factor loadings and prevalence of violence-related items across subgroups highlight the contextually dependent nature of sexual behavior stigma and emphasize the need for context-specific measurement tools to comprehensively understand the multifaceted nature of sexual behavior stigma within diverse populations and settings.

Indexed as

Sexual and Gender MinoritiesSexual BehaviorSocial StigmaAdolescentAdultFactor Analysis, StatisticalHomosexuality, MaleHumansMaleMexicoMiddle AgedSurveys and QuestionnairesUnited StatesYoung AdultMeasurement invarianceNativitySexual behaviorSexual orientationStigma

Identifiers

PMID40660021
PMCPMC12457474

What OpenQuestion holds

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LicenceCC BY
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.