Elucidating Heterogeneity of Intimate Partner Violence Among Women: Latent Class Analysis of Daily IPV, PTSD, and Substance Use Collected via Experience Sampling Methodologies.

Abstract

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.