ArticleJournal of interpersonal violence2022
Latent Classes of Bidirectional Face-to-Face and Cyber Intimate Partner Violence Among Lesbian, Gay, and Bisexual Emerging Adults: The Role of Minority Stressors.
Article in Journal of interpersonal violence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
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Who cites it
2 citing papers in PubMed.
- Experiences and Correlates of Cyber Dating Abuse in Sexual and Gender Minority Adolescent Girls and Feminine Teens: Implications for Psychological Wellbeing.Psychology and sexuality · 2025Article
- Daily Heterosexist Experiences in LGBTQ+ Adults from Spain: Measurement, Prevalence, and Clinical Implications.Psychosocial intervention · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The rates of intimate partner violence have been found to be higher among lesbian, gay, and bisexual (LGB) individuals when compared with heterosexual populations. However, lesser is known about the impact of specific minority stressors experienced by LGB populations on their face-to-face intimate partner violence (IPV) and cyber IPV experiences. Using a three-step latent class approach, the present study investigated (i) the latent classes of self-reported types of face-to-face IPV and cyber IPV perpetration and victimization and (ii) their associations with LGB distal and proximal minority stressors (i.e., vicarious trauma, discrimination, family rejection, and LGB-identity disclosure). Participants were 288 LGB emerging adults in the age range of 18-29 years (bisexual:
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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.