TY - JOUR
T1 - Interpersonal polyvictimization and mental health in males
AU - Burns, Carol Rhonda
AU - Lagdon, Susan
AU - Boyda, David
AU - Armour, Cherie
PY - 2016/5/1
Y1 - 2016/5/1
N2 - 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.
AB - 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.
KW - Interpersonal victimisation
KW - Latent class analysis
KW - Males
KW - Mental health
KW - Polyvictimisation
KW - PTSD
UR - http://www.scopus.com/inward/record.url?scp=84964425580&partnerID=8YFLogxK
U2 - 10.1016/j.janxdis.2016.04.002
DO - 10.1016/j.janxdis.2016.04.002
M3 - Article
C2 - 27130979
AN - SCOPUS:84964425580
VL - 40
SP - 75
EP - 82
JO - Journal of Anxiety Disorders
JF - Journal of Anxiety Disorders
SN - 0887-6185
ER -