Trends in violence victimization and suicide risk by sexual identity among high school students—Youth Risk Behavior Survey, United States, 2015–2019
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Lesbian, gay, and bisexual (LGB) youths continue to experience more violence victimization and suicide risk than heterosexual youths; however, few studies have examined whether the proportion of LGB youths affected by these outcomes has varied over time, and no studies have assessed such trends in a nationally representative sample. This report analyzes national trends in violence victimization and suicide risk among high school students by self-reported sexual identity (LGB or heterosexual) and evaluates differences in these trends among LGB students by sex (male or female) and race/ethnicity (non-Hispanic black, non-Hispanic white, or Hispanic). Data for this analysis were derived from the 2015, 2017, and 2019 cycles of CDC's Youth Risk Behavior Survey (YRBS), a cross-sectional, school-based survey conducted biennially since 1991. Logistic regression models assessed linear trends in prevalence of violence victimization and indicators of suicide risk among LGB and heterosexual students during 2015-2019; in subsequent models, sex-stratified (controlling for race/ethnicity and grade) and race/ethnicity-stratified (controlling for sex and grade) linear trends were examined for students self-identifying as LGB during 2015-2019. Results demonstrated that LGB students experienced more violence victimization and reported more suicide risk behaviors than heterosexual youths. Among LGB youths, differences in the proportion reporting violence victimization and suicide risk by sex and race/ethnicity were found. Across analyses, very few linear trends in these outcomes were observed among LGB students. Results highlight the continued need for comprehensive intervention strategies within schools and communities with the express goal of reducing violence victimization and preventing suicide risk behaviors among LGB students.
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This finding extends the extant literature on mental wellbeing disparities among the general population of LGBQ youth to LGBQ youth activists.
“This finding extends the extant literature on mental wellbeing disparities among the general population of LGBQ youth [67,68] to LGBQ youth activists.”
From Burnout and Belonging: How the Costs and Benefits of Youth Activism Affect Youth Health and Wellbeing (2023) · cites this paper as [68]
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- Authors
- Johns, M. M., Lowry, R., Haderxhanaj, L. T., Rasberry, C. N., Robin, L., Scales, L., Stone, D., & Suarez, N. A.
- Affiliations
- National Center for HIV/AIDS Viral Hepatitis STD and TB Prevention (US)
- Centers for Disease Control and Prevention (US)
- Corresponding author
- Johns, Michelle M.
- ORCID
- Venue
- MMWR Supplements
- Published
- 2020-08-21
- Volume
- 69
- Issue
- 1
- Pages
- 19-27
- ISSN
- 2380-8942 (ISSN-L)
- 2380-8950
- PMC
- PMC7440203
- OpenAlex
- W3073021353
- Cited by
- 187
- References
- 20
- Citations by year
- 2026: 21 · 2025: 32 · 2024: 31 · 2023: 45 · 2022: 45 · 2021: 11 · 2020: 2
- FWCI
- 28.13
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- MMWR Supplements (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › LGBTQ Health, Identity, and Policy
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Keywords
- violent victimization, suicide risk, sexual identity, lesbian, gay, and bisexual youth, high school students, temporal trends, sex differences, racial and ethnic differences, youth risk behavior, school-based prevention
- MeSH terms
- Sexual and Gender Minorities, Adolescent, Cross-Sectional Studies, Female, Humans, Male, Surveys and Questionnaires, Risk-Taking, Schools, Students, Suicide, United States, Violence, Risk Assessment, Crime Victims, Heterosexuality
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.
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