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Community characteristics associated with elder abuse.

G J Jogerst1, J D Dawson, A J Hartz

  • 1Department of Family Medicine, The University of Iowa, Iowa City 52242-1097, USA.

Journal of the American Geriatrics Society
|May 16, 2000
PubMed
Summary
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County demographics, including poverty and child abuse rates, are significant risk factors for elder abuse. Higher rates of high school dropouts and certain healthcare providers were linked to lower elder abuse rates, suggesting complex community influences.

Area of Science:

  • Gerontology
  • Public Health
  • Sociology

Background:

  • Elder abuse is a significant public health concern.
  • Understanding the sociodemographic and resource-related factors influencing elder abuse rates is crucial for targeted interventions.

Purpose of the Study:

  • To investigate the relationship between county-level demographics, healthcare resources, social service characteristics, and elder abuse rates.
  • To identify specific community factors associated with higher or lower rates of reported and substantiated elder abuse.

Main Methods:

  • Analysis of county-level data from 99 Iowa counties spanning 1984-1993.
  • Utilized univariate correlation and stagewise linear regression to assess associations.
  • Examined variables including population density, child poverty, child abuse rates, high school dropout rates, healthcare providers, and Department of Human Services (DHS) caseworkers.

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Main Results:

  • Population density, child poverty, and reported child abuse rates were positively associated with elder abuse (P < .001).
  • Higher rates of high school dropouts, chiropractors, and nurse practitioners correlated with lower substantiated elder abuse rates (P < .05).
  • A persistent district effect for substantiated elder abuse was observed even after adjusting for DHS caseworkers and child abuse rates (P = .002).

Conclusions:

  • County demographics serve as risk factors for both reported and substantiated elder abuse.
  • Reported child abuse emerged as the strongest predictor for reported elder abuse.
  • Observed district-level differences may indicate variations in resources or caseworker practices influencing elder abuse detection and substantiation.