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

ABSTRACT:

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

SUBMITTER: DeLiema M 

PROVIDER: S-EPMC6283306 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature