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                            Library & Multimedia
 Using Latent Class Analysis to Identify Profiles of Elder Abuse Perpetrators
NCJ Number
              253475
Journal

*Journals of Gerontology Series B-Psychological Sciences and Social Sciences* Volume: 73 Issue: 5 Dated: July 2018 Pages: E49-E58
Author(s)
          Marguerite DeLiema;
                        Jeanine Yonashiro-Cho;
                        Zach D. Gassoumis;
                        Yongjie Yon;
                        Ken J. Conrad
Date Published

July 2018
Length
              10 pages
Annotation
              The current study classified abusers into subtypes according to their behavior, so as to move away from assumptions of perpetrator homogeneity and to inform intervention approaches.
Abstract
              Data were from the Older Adult Mistreatment Assessment administered to victims by Adult Protective Service (APS) in Illinois. Latent class analysis was used to categorize 336 abusers, using victim and caseworker reports on abusers' harmful and supportive behaviors and characteristics. Multinomial logistic regression was then used to determine which abuser profiles were associated with four types of mistreatmentneglect, physical, emotional, and financialand other sociodemographic characteristics. Abusers fell into four profiles descriptively labeled "Caregiver," "Temperamental," "Dependent Caregiver," and "Dangerous." Dangerous abusers had the highest levels of aggression, financial dependency, substance abuse, and irresponsibility. Caregivers were lowest in harmful characteristics and highest in providing emotional and instrumental support to victims. The four profiles significantly differed in the average age and gender of the abuser, the relationship to victims, and types of mistreatment. This is the first quantitative study to identify and characterize abuser subtypes. Tailored interventions are needed to reduce problem behaviors and improve strengths specific to each abuser profile. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2011-IJ-CX-0014


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        Elder Abuse Computerized Decision Support System
    
  
  
Date Published: July 1, 2018
    
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