Gender differences in unidirectional and bidirectional intimate partner violence in addictions.
Javier Fernández-MontalvoJosé J López-GoñiAlfonso ArteagaBegoña HaroPublished in: The American journal of drug and alcohol abuse (2019)
Background: Few studies have analyzed the specific characteristics related to uni/bidirectional intimate partner violence (IPV) in patients with addiction problems. Knowing the specific profiles of these patients would allow the development of effective tailored interventions.Objective: This study assessed gender differences in unidirectional and bidirectional IPV among patients undergoing drug addiction treatment.Method: We sampled 122 patients (91 male and 31 female) who sought treatment in an addiction treatment center, and collected cross-sectional self-reported data on violent behaviors (physical, sexual and psychological violence), sociodemographic factors, distorted thoughts about women and violence, impulsiveness, and anger.Results: Ninety-one percent of participants reported experience of IPV (any type and any direction). Sixty-three percent of participants reported bidirectional violence, which was more common among women (83.9%) than men (56.1%). Unidirectional (perpetration only) IPV was reported in 28.7% of participants, and it was more common among men (34.1%) than women (12.9%). No one reported unidirectional (victimization-only) IPV. When only physical and/or sexual violence was considered, bidirectional violence affected 32.0% of the sample; 23.8% were only victims, and 3.3% were only perpetrators (all of them men). Participants who reported bidirectional violence had higher scores for impulsiveness, anger, and distorted thoughts.Conclusions: Bidirectional IPV is commonly reported among patients seeking treatment for addiction, particularly among women, and should be considered in future research and clinical practice.
Keyphrases
- intimate partner violence
- mental health
- polycystic ovary syndrome
- patients undergoing
- ejection fraction
- end stage renal disease
- physical activity
- cross sectional
- newly diagnosed
- clinical practice
- metabolic syndrome
- emergency department
- combination therapy
- prognostic factors
- adipose tissue
- depressive symptoms
- pregnant women
- electronic health record
- deep learning
- peritoneal dialysis
- big data