Using Latent Class Analysis to Identify Profiles of Elder Abuse Perpetrators

Area of Science:

• Gerontology
• Criminology
• Social Work

Background:

• Elder mistreatment encompasses diverse abuse types, yet interventions often assume perpetrator homogeneity.
• Individualized approaches are needed, as abuser risk factors vary significantly across different forms of elder abuse.

Purpose of the Study:

• To classify elder abusers into distinct subtypes based on behavioral profiles.
• To inform the development of tailored interventions for elder abuse prevention and perpetrator management.

Main Methods:

• Latent class analysis was employed to categorize 336 abusers using data from the Older Adult Mistreatment Assessment.
• Multinomial logistic regression analyzed the association between abuser profiles, mistreatment types (neglect, physical, emotional, financial), and sociodemographic factors.

Main Results:

• Four abuser profiles were identified: "Caregiver," "Temperamental," "Dependent Caregiver," and "Dangerous."
• "Dangerous" abusers exhibited high aggression, substance abuse, and irresponsibility.
• "Caregiver" abusers showed the lowest harmful characteristics and highest supportive behaviors.

Conclusions:

• This study provides the first quantitative characterization of elder abuser subtypes.
• Tailored interventions addressing specific abuser profiles are essential for effective elder abuse reduction.
• Recognizing distinct abuser profiles can enhance the efficacy of support services for victims and perpetrators.