Intimate Partner Violence Risk Factors: A Vulnerability-Adaptation Stress Model Approach.

IF 2.6 3区 心理学 Q1 CRIMINOLOGY & PENOLOGY Journal of Interpersonal Violence Pub Date : 2024-08-01 Epub Date: 2024-02-26 DOI:10.1177/08862605241234352
Robyn Joy Brunton, Rachel Dryer
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Abstract

Intimate partner violence (IPV) disproportionally affects women. Using the vulnerability-adaptation stress model, we examined adverse childhood experiences (ACEs), self-esteem, and hope as vulnerability indicators and relationship status and length, positive and negative affect, and socioeconomic status (SES) as stressors to ascertain the risk for IPV. Women (N = 491, M = 37.15, standard deviation = 12.51) completed an online survey comprised of the Positive and Negative Affect Scale, Rosenberg's Self-esteem Scale, Snyder's Hope Scale, ACE questionnaire, Composite Abuse Scale Revised-Short Form, and demographic questions. Factor analysis identified four ACE factors of sexual abuse, physical or psychological abuse, witnessing domestic violence, and household dysfunction. A five-step hierarchical multiple regression identified that greater exposure to physical or psychological child abuse was associated with an increased risk of IPV (Step 2), B = 0.73 [0.16, 1.34]. Lower self-esteem, B = -0.30 [-0.47, -0.14] predicted IPV (Step 3). Age B = 0.07 [0.01, 0.13], negative affect, B = 0.39 [0.19, 0.59], and relationship length, B = -1.24 [-2.16, 0.41] were associated with a higher risk of IPV (Step 4). In Step 5, previous variables attenuated to non-significance while age, B = 0.07 [0.01, 0.13], negative affect, B = 0.39 [0.19, 0.59], and relationship length B = -1.25 [-2.16, 0.41] remained significant. While the key findings of this study were inconsistent with some commonly reported findings (e.g., ACEs, self-esteem, hope, relationship status, SES, age), these inconsistencies are important to highlight given the factorial approach to examining ACEs, the comprehensive analyses conducted, and our examination of these variables' direct relationship to IPV. The study was limited by its cross-sectional nature, higher prevalence of IPV victims, and not examining IPV sub-types. Similar studies need to be conducted for other relationship types and victimized individuals (e.g., same-sex relationships and male victims) to provide a complete picture of risk factors for IPV.

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亲密伴侣暴力风险因素:脆弱性-适应压力模型方法。
亲密伴侣暴力(IPV)对女性的影响尤为严重。利用脆弱性-适应压力模型,我们研究了作为脆弱性指标的不良童年经历(ACE)、自尊和希望,以及作为压力因素的关系状态和持续时间、积极和消极情绪以及社会经济地位(SES),以确定发生 IPV 的风险。妇女(人数 = 491,男 = 37.15,标准差 = 12.51)完成了一项在线调查,调查内容包括积极和消极情绪量表、罗森伯格自尊量表、斯奈德希望量表、ACE 问卷、综合虐待量表修订版-简表和人口统计学问题。因子分析确定了性虐待、身体或心理虐待、目睹家庭暴力和家庭功能失调四个 ACE 因子。通过五步分层多元回归分析发现,儿童遭受身体或心理虐待的程度越高,发生 IPV 的风险越高(第二步),B = 0.73 [0.16, 1.34]。较低的自尊 B = -0.30 [-0.47, -0.14]预测了 IPV(步骤 3)。年龄 B = 0.07 [0.01, 0.13]、负面情绪 B = 0.39 [0.19, 0.59]和关系长度 B = -1.24 [-2.16, 0.41]与较高的 IPV 风险相关(第 4 步)。在步骤 5 中,之前的变量减弱为不显著,而年龄 B = 0.07 [0.01, 0.13]、负面情绪 B = 0.39 [0.19, 0.59]和关系长度 B = -1.25 [-2.16, 0.41]仍然显著。虽然本研究的主要结果与一些常见的报告结果(如 ACE、自尊、希望、关系状况、社会经济地位、年龄)不一致,但考虑到研究 ACE 的因子方法、所进行的综合分析以及我们对这些变量与 IPV 直接关系的研究,这些不一致之处值得强调。这项研究的局限性在于其横断面性质、IPV 受害者的发生率较高以及未对 IPV 子类型进行研究。还需要对其他关系类型和受害者(如同性关系和男性受害者)进行类似研究,以全面了解 IPV 的风险因素。
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来源期刊
CiteScore
6.20
自引率
12.00%
发文量
375
期刊介绍: The Journal of Interpersonal Violence is devoted to the study and treatment of victims and perpetrators of interpersonal violence. It provides a forum of discussion of the concerns and activities of professionals and researchers working in domestic violence, child sexual abuse, rape and sexual assault, physical child abuse, and violent crime. With its dual focus on victims and victimizers, the journal will publish material that addresses the causes, effects, treatment, and prevention of all types of violence. JIV only publishes reports on individual studies in which the scientific method is applied to the study of some aspect of interpersonal violence. Research may use qualitative or quantitative methods. JIV does not publish reviews of research, individual case studies, or the conceptual analysis of some aspect of interpersonal violence. Outcome data for program or intervention evaluations must include a comparison or control group.
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