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Mental and Physical Health Correlates for Emotional Intimate Partner Violence Perpetration and Victimization: A
Chelsea M Spencer1, Brooke M Keilholtz1, Megan Palmer1
1Kansas State University, USA.
Abstract:
Approximately 50% of both men and women will experience emotional intimate partner violence (IPV) in their lifetime-a form of violence highly associated with other forms of IPV-making it important to develop further understanding of for assessment and treatment purposes. The bio-psycho-social model was used to guide the study. Utilizing data from 181 studies, yielding 348 effect sizes, we conducted a meta-analysis examining mental and physical health correlates with emotional IPV perpetration and victimization. We also examined if mental and physical health correlates were significantly stronger for emotional IPV perpetration or victimization, as well as if correlates were stronger for men or women. Suicidal ideation, post-traumatic stress, anxiety, depressive symptoms, borderline personality disorder (PD), psychological distress, physical pain, trauma, anger, shame, poor physical health, antisocial PD, and somatic symptoms were significantly associated with emotional IPV victimization. Borderline PD, narcissism, emotional dysregulation, anger, post-traumatic stress, antisocial PD, psychopathy, depressive symptoms, anxiety symptoms, and trauma were significantly associated with emotional IPV perpetration. Anger, emotional dysregulation, and psychopathology were stronger correlates for emotional IPV perpetration compared to victimization, and post-traumatic stress disorder (PTSD) and psychological distress were stronger correlates for victimization. PTSD and suicidal ideation were stronger correlates of IPV victimization for women than men, and anger was a significantly stronger correlate of IPV perpetration for women than men. This study highlights the importance of a holistic approach when working with victims and perpetrators of IPV, focusing on the importance of taking all aspects of the bio-psycho-social model into account.
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