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. 2023 Dec;24(5):3280-3296.
doi: 10.1177/15248380221126183. Epub 2022 Oct 5.

Profiles of Intimate Partner Violence Victimization: A Systematic Review

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Profiles of Intimate Partner Violence Victimization: A Systematic Review

Maisie Hall et al. Trauma Violence Abuse. 2023 Dec.

Abstract

Person-centered approaches, such as latent class analysis (LCA) and latent profile analysis (LPA), aid the identification of subgroups within sample populations. These methods can identify the patterns of co-occurrence between different forms of intimate partner violence (IPV), providing valuable information for prevention and intervention efforts. The aim of this systematic review was to yield a summary and conduct a critical evaluation of the current research that utilizes LCA/LPA to investigate IPV victimization profiles. We provide an outline of 14 relevant studies, retrieved from searches conducted on PsycInfo, Scopus, and Eric databases. There was a large amount of variability in relation to the forms of IPV assessed, measures utilized, number of classes identified, and the sample populations recruited. However, broad similarities were revealed as there were some commonly identified classes, including the no/low violence class, the physical and psychological victimization class, and the multiple victimization class, yet the labels assigned to those classes differed across studies. A range of external criteria (risk factors and consequences) were also identified as being associated with class membership. We highlight the methodological features which may have impacted data collection and class enumeration, including the differences in sample population, the range of IPV indicators assessed, the time period from which IPV data were recorded, and whether data were collected regarding participants' current or previous relationships. Marginalized populations were underrepresented, and psychological abuse was most inconsistently operationalized. Recommendations for future research are provided, including recommendations with regard to labeling the classes for greater consistency across studies.

Keywords: intimate partner violence; latent class analysis; latent profile analysis; profiling research; systematic review.

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Conflict of interest statement

Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
PRISMA flow diagram showing the process of identifying studies for the review.

References

    1. Abramsky T., Watts C. H., Garcia-Moreno C., Devries K., Kiss L., Ellsberg M., Jansen H. AFM., Heise L. (2011). What factors are associated with recent intimate partner violence? Findings from the WHO multi-country study on women’s health and domestic violence. BMC Public Health, 11(1), 1–17. 10.1186/1471-2458-11-109 - DOI - PMC - PubMed
    1. Agresti A. (2003). Categorical data analysis (2nd ed.). John Wiley & Sons, Inc.
    1. Agüero J. M. (2021). COVID-19 and the rise of intimate partner violence. World Development, 137, 105217. 10.1016/j.worlddev.2020.105217 - DOI - PMC - PubMed
    1. Akaike H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. 10.1109/TAC.1974.1100705 - DOI
    1. Ali P. A., Dhingra K., McGarry J. (2016). A literature review of intimate partner violence and its classifications. Aggression and Violent Behavior, 31, 16–25. 10.1016/j.avb.2016.06.008 - DOI

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