The Effects of Polyvictimization on Mental and Physical Health Outcomes in an LGBTQ Sample
Abstract
Lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ) individuals are at elevated risk for violent victimization and often experience increased health disparities compared to their non-LGBTQ counterparts. The present study examined associations between polyvictimization and mental and physical health in an LGBTQ sample. Participants included 385 LGBTQ individuals involved in a larger health-needs assessment of LGBTQ individuals living in the southeastern United States. The sample primarily identified as gay/lesbian (63.4%), cisgender (78.7%), and White (66.5%), and the mean participant age was 34.82 years (SD = 13.45). A latent class analysis (LCA) was conducted on seven items assessing different types of violence exposure. The LCA identified a three-class model, with classes characterized by low trauma exposure (71.4%), nondiscriminatory violence (15.1%), and high trauma exposure (13.5%). Differences in demographic characteristics, perceptions of mental and physical health, and diagnoses of specific health conditions were assessed across classes. The high-trauma class reported poorer perceived physical and mental health compared to the other two classes, with mean differences in past-month poor health days ranging from 11.38 to 17.37. There were no differences between the classes regarding specific physical health conditions; however, the high-trauma and nondiscriminatory violence classes had significantly higher rates of anxiety, depression, drug abuse, and suicidality than the low-trauma class, ORs = 2.39-23.83. The present findings suggest that polyvictimization is an important risk factor for poor health among LGBTQ individuals. These results have implications for addressing health disparities among the broader LGBTQ community.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sexual and gender minorities experience higher levels of distress than their cisgender and heteronormative counterparts.
“It is well-established that sexual and gender minorities experience higher levels of distress than their cisgender and heteronormative counterparts [7,13,14].”
From A Phenomenological Investigation into Cyberbullying as Experienced by People Identifying as Transgender or Gender Diverse (2022) · cites this paper as [14]
The citation lists haven’t been fetched yet
References 47 · Cited by 50
- Authors
- Kassing, F., Casanova, T., Griffin, J. A., Wood, E., & Stepleman, L. M.
- Affiliations
- Baylor College of Medicine (US)
- Augusta University (US)
- Chase Brexton Health Care (US)
- Venue
- Journal of Traumatic Stress
- Publisher
- Wiley
- Published
- 2020-08-17
- Volume
- 34
- Issue
- 1
- Pages
- 161-171
- ISSN
- 0894-9867 (ISSN-L)
- 1573-6598
- OpenAlex
- W3061683868
- Cited by
- 50
- References
- 47
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 8 · 2023: 17 · 2022: 7 · 2021: 1
- FWCI
- 6.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Traumatic Stress (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Arnold P. Gold Foundation
- Topics
- Social Sciences › Psychology › Social Psychology › LGBTQ Health, Identity, and Policy
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Social Sciences › Gender Studies › Sexual Assault and Victimization Studies
- Keywords
- polyvictimization, LGBTQ+ people, violence exposure, mental health, physical health, health disparities, anxiety, depression, drug abuse, suicidality, trauma exposure, latent class analysis
- MeSH terms
- Psychological Trauma, Sexual and Gender Minorities, Gender-Based Violence, Latent Class Analysis, Adult, Female, Georgia, Health Status, Humans, Male, Mental Health, Middle Aged, South Carolina, Spouse Abuse, Crime Victims, Stalking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review