The co-occurrence of physical, psychological, and sexual intimate partner violence (IPV) is associated with heightened risk for deleterious mental and physical health outcomes, including PTSD symptoms and substance use. However, few studies have investigated the heterogeneity of experiences with respect to this co-occurrence among women who experience IPV as it unfolds naturally in women’s daily lives. In this study, we developed a novel approach to classify and visualize daily patterns of IPV experiences, PTSD-related distress, and substance use among women who experience IPV. Women (N = 244, Mage = 37.1 years) who reported experiencing IPV and using substances were recruited from the community. Micro-longitudinal data were collected four times per day for 14 days using automated telephone-based data collection. Analyses included latent class analysis (LCA) and multilevel analysis (interval-, day-, and person-level), complimented by novel data visualization tool (EventFlow). We identified three classes that significantly differed in the prevalence of and patterns among IPV types, PTSD, and substance use. Based on examination of LCA results and visualization of the latent classes in EventFlow. Different patterns of associations among IPV types, PTSD symptoms, and substance use were identified within classes at the interval-, day-, and person-level. Results from this study provide greater insight into the heterogeneity of women’s lived experiences than do studies solely relying on cross-sectional survey data. Findings with this type of data collection can inform the development of interventions to increase the precision in clinical practice, identify new avenues for future research, and have important policy implications.

中文翻译：

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阐明女性亲密伴侣暴力的异质性：通过经验抽样方法收集的每日 IPV、PTSD 和物质使用的潜在类别分析


身体、心理和性亲密伴侣暴力 （IPV） 的共存与有害的身心健康结果的风险增加有关，包括 PTSD 症状和物质使用。然而，很少有研究调查经历 IPV 的女性在这种共存经历方面的异质性，因为它在女性的日常生活中自然展开。在这项研究中，我们开发了一种新的方法来分类和可视化经历 IPV 的女性的日常 IPV 经历模式、PTSD 相关痛苦和物质使用。报告经历 IPV 并使用物质的女性 （N = 244，Mage = 37.1 岁） 是从社区招募的。使用基于电话的自动数据收集，每天收集 4 次微观纵向数据，持续 14 天。分析包括潜在类别分析 （LCA） 和多级分析（间隔、天和人员级别），并辅以新颖的数据可视化工具 （EventFlow）。我们确定了三个类别，它们在 IPV 类型、PTSD 和物质使用之间的患病率和模式方面存在显著差异。基于对 LCA 结果的检查和 EventFlow 中潜在类的可视化。在间隔、天和个人级别的类别中确定了 IPV 类型、PTSD 症状和物质使用之间的不同关联模式。与仅依赖横断面调查数据的研究相比，这项研究的结果更深入地了解女性生活经历的异质性。此类数据收集的结果可以为干预措施的开发提供信息，以提高临床实践的精确性，为未来的研究确定新的途径，并具有重要的政策意义。