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纵向研究酒精问题与网络、心理和身体约会暴力的关系:情绪调节障碍的调节作用。

A Longitudinal Examination of Alcohol Problems and Cyber, Psychological, and Physical Dating Abuse: The Moderating Role of Emotion Dysregulation.

机构信息

The University of Tennessee, Knoxville, USA.

Grand Valley State University, Allendale, MI, USA.

出版信息

J Interpers Violence. 2021 Oct;36(19-20):NP10499-NP10519. doi: 10.1177/0886260519876029. Epub 2019 Sep 17.

Abstract

Given the prevalence of technology, cyber dating abuse (DA) emerged as an important area of empirical inquiry. Cross-sectional data linked cyber DA perpetration to alcohol problems and psychological and physical DA perpetration. However, the longitudinal relations among these constructs are unknown. DA theory and research suggested that higher levels of aggressogenic traits (e.g., emotion dysregulation) increased the likelihood that alcohol problems and DA co-occur; this conceptual model may extend to cyber DA. We collected self-report data from 578 college students at baseline (T1) and 3 months later (T2) to test the hypothesis that T1 alcohol problems would predict T2 psychological, physical, and cyber DA for students with high, but not low, emotion dysregulation. We also hypothesized that T1 cyber DA would predict T2 psychological and physical DA. We conducted path analyses in Mplus and used the Johnson-Neyman technique to probe significant interactions. Results indicated that alcohol problems predicted psychological and physical DA for college students with high and average emotion dysregulation only. Alcohol problems did not predict cyber DA independently or in conjunction with emotion dysregulation. Cyber DA predicted psychological and physical DA. Results extend DA conceptualizations and highlight the importance of targeting emotion dysregulation in college DA intervention programs.

摘要

鉴于技术的普及,网络约会虐待(DA)已成为实证研究的一个重要领域。横截面数据将网络 DA 的实施与酒精问题以及心理和身体 DA 的实施联系起来。然而,这些结构之间的纵向关系尚不清楚。DA 理论和研究表明,攻击性特质(例如,情绪失调)水平越高,酒精问题和 DA 同时发生的可能性就越大;这个概念模型可能适用于网络 DA。我们从 578 名大学生那里收集了基线(T1)和 3 个月后的自我报告数据(T2),以检验以下假设:T1 期的酒精问题将预测 T2 期具有高但不低情绪失调的学生的心理、身体和网络 DA。我们还假设 T1 期的网络 DA 将预测 T2 期的心理和身体 DA。我们在 Mplus 中进行了路径分析,并使用 Johnson-Neyman 技术来探测显著的交互作用。结果表明,酒精问题仅预测了高情绪失调和中等情绪失调的大学生的心理和身体 DA。酒精问题不能独立于情绪失调或与情绪失调一起预测网络 DA。网络 DA 预测心理和身体 DA。研究结果扩展了 DA 的概念,并强调了在大学 DA 干预计划中针对情绪失调的重要性。

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