Abstract
A consistent conclusion within the extant literature is that victimization and in particular polyvictimization leads to adverse mental health outcomes. A large body of literature exists as it pertains to the association between victimisation and mental health in studies utilising samples of childhood victims, female only victims, and samples of male and female victims; less research exists as it relates to males victims of interpersonal violence. The aim of the current study was therefore to identify profiles of interpersonal victimizations in an exclusively male sample and to assess their differential impact on a number of adverse mental health outcomes. Using data from 14,477 adult males from Wave 2 of the NESARC, we identified interpersonal victimization profiles via Latent Class Analysis. Multinomial Logistic Regression was subsequently utilized to establish risk across mental health disorders. A 4-class solution was optimal. Victimisation profiles showed elevated odds ratios for the presence of mental health disorders; suggesting that multiple life-course victimisation typologies exists, and that victimization is strongly associated with psychopathology. Several additional notable findings are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 75-82 |
| Number of pages | 8 |
| Journal | Journal of Anxiety Disorders |
| Volume | 40 |
| Early online date | 5 Apr 2016 |
| DOIs | |
| Publication status | Published (in print/issue) - 1 May 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Interpersonal victimisation
- Latent class analysis
- Males
- Mental health
- Polyvictimisation
- PTSD
Fingerprint
Dive into the research topics of 'Interpersonal polyvictimization and mental health in males'. Together they form a unique fingerprint.Student theses
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Assessing the mental health impact of interpersonal poly-victimization across the life-course in a male population
Burns, C. (Author), Armour, C. (Supervisor) & McBride, O. (Supervisor), Sept 2019Student thesis: Doctoral Thesis
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