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Using Latent Class Analysis to Identify Profiles of Elder Abuse Perpetrators.

Authors
DeLiema M, Yonashiro-Cho J, Gassoumis ZD, Yon Y, Conrad KJ.
Objectives
Research suggests that abuser risk factors differ across elder mistreatment types, but abuse interventions are not individualized. To move away from assumptions of perpetrator homogeneity and to inform intervention approaches, this study classifies abusers into subtypes according to their behavior profiles.
Method
Data are from the Older Adult Mistreatment Assessment administered to victims by Adult Protective Service (APS) in Illinois. Latent class analysis was used to categorize abusers (N = 336) using victim and caseworker reports on abusers’ harmful and supportive behaviors and characteristics. Multinomial logistic regression was then used to determine which abuser profiles are associated with 4 types of mistreatment-neglect, physical, emotional, and financial-and other sociodemographic characteristics.
Results
Abusers fall into 4 profiles descriptively labeled “Caregiver,” “Temperamental,” “Dependent Caregiver,” and “Dangerous.” Dangerous abusers have the highest levels of aggression, financial dependency, substance abuse, and irresponsibility. Caregivers are lowest in harmful characteristics and highest in providing emotional and instrumental support to victims. The 4 profiles significantly differ in the average age and gender of the abuser, the relationship to victims, and types of mistreatment committed.
Discussion
This is the first quantitative study to identify and characterize abuser subtypes. Tailored interventions are needed to reduce problem behaviors and enhance strengths specific to each abuser profile.

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Special Thanks to Judith D. Tamkin

We are sincerely appreciative to Judith D. Tamkin for her gift to help establish the USC Center on Elder Mistreatment’s website. Her deep and personal commitment to eradicating elder abuse is helping to reshape our understanding of elder abuse and ultimately save innumerable older adults from abuse and neglect.