The role of social disorganization theory in explaining elder abuse and neglect

This study presents an overview of official elder abuse data for US states and is the first to assess county-level predictors of elder abuse and neglect through the lens of social disorganization theory. Five years of official elder abuse and neglect, violent crime, and property crime data from three midwestern states, Illinois, Kansas, and Missouri, were aggregated and studied to determine whether the same factors that predict violent and property crime are useful for understanding variation in elder abuse. Results indicate concentrated disadvantage is a consistent explanatory variable, and variables measuring characteristics of the entire county population are better for modeling elder abuse counts than variables measuring characteristics of the elderly population. These findings indicate partial support for social disorganization theory and suggest policies developed to reduce crime by lessening concentrated disadvantage may have benefits for reducing elder abuse prevalence.

Authors

Institutions

Publication Details

Journal
Journal of Elder Abuse & Neglect
Published
2026-05-30
DOI
https://doi.org/10.1080/08946566.2026.2682152
Primary Topic
Elder Abuse and Neglect
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The role of social disorganization theory in explaining elder abuse and neglect

Jordan R. Riddell, Kyle Henegar
Journal of Elder Abuse & Neglect
Elder Abuse and Neglect
article

The role of social disorganization theory in explaining elder abuse and neglect

Jordan R. Riddell, Kyle Henegar
article en

Abstract

This study presents an overview of official elder abuse data for US states and is the first to assess county-level predictors of elder abuse and neglect through the lens of social disorganization theory. Five years of official elder abuse and neglect, violent crime, and property crime data from three midwestern states, Illinois, Kansas, and Missouri, were aggregated and studied to determine whether the same factors that predict violent and property crime are useful for understanding variation in elder abuse. Results indicate concentrated disadvantage is a consistent explanatory variable, and variables measuring characteristics of the entire county population are better for modeling elder abuse counts than variables measuring characteristics of the elderly population. These findings indicate partial support for social disorganization theory and suggest policies developed to reduce crime by lessening concentrated disadvantage may have benefits for reducing elder abuse prevalence.

Journal of Elder Abuse & Neglect
Missouri State University (US), University of Tulsa (US)
Reduced inequalities
Openalex Percentile: Top 3%
Elder Abuse and Neglect
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.