Mi Heui Jang; Chang Gi Park

doi:10.4040/jkan.2012.42.6.819

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Original Article
Risk Factors Influencing Probability and Severity of Elder Abuse in Community-dwelling Older Adults: Applying Zero-inflated Negative Binomial Modeling of Abuse Count Data: Mi Heui Jang, Chang Gi Park; Journal of Korean Academy of Nursing 2012;42(6):819-832.
DOI: https://doi.org/10.4040/jkan.2012.42.6.819
Published online: December 31, 2012

¹College of Nursing Science and East-West Nursing Research Institute, Kyung Hee University, Seoul, Korea.

²College of Nursing, University of Illinois at Chicago, Chicago, USA.

Address reprint requests to: Jang, Mi Heui. College of Nursing Science and East-West Nursing Research Institute, Kyung Hee University, #1, Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Korea. Tel: +82-2-961-0795, Fax: +82-2-961-9398, mhjang21@gmail.com

• Received: April 17, 2012 • Accepted: November 12, 2012

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Abstract
REFERENCES

Abstract

Purpose
This study was conducted to identify risk factors that influence the probability and severity of elder abuse in community-dwelling older adults.
Methods
This study was a cross-sectional descriptive study. Self-report questionnaires were used to collect data from community-dwelling Koreans, 65 and older (N=416). Logistic regression, negative binomial regression and zero-inflated negative binomial regression model for abuse count data were utilized to determine risk factors for elder abuse.
Results
The rate of older adults who experienced any one category of abuse was 32.5%. By zero-inflated negative binomial regression analysis, the experience of verbal-psychological abuse was associated with marital status and family support, while the experience of physical abuse was associated with self-esteem, perceived economic stress and family support. Family support was found to be a salient risk factor of probability of abuse in both verbal-psychological and physical abuse. Self-esteem was found to be a salient risk factor of probability and severity of abuse in physical abuse alone.
Conclusion
The findings suggest that tailored prevention and intervention considering both types of elder abuse and target populations might be beneficial for preventative efficiency of elder abuse.
Keywords: Elder abuse; Risk factors; Family; Self-esteem

REFERENCES

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Table 1

Descriptive Statistics of Study Variables (N=416)

^*Elders who experienced abuse at least once within the previous year.

Table 2

Adjusted Odds Ratio of Risk Factors for Elder Abuse (N=416)

OR=Odds ratio; CI=Confidence interval; LL=Lower limits; UL=Upper limits.

Table 3

Negative Binomial Regression for the Number of Elder Abuse (N=416)

CI=Confidence interval; LL=Lower limits; UL=Upper limits; ref.=reference category of dummy variable.

Table 4

Zero-inflated Negative Binominal Regression for the Number of Elder Abuse

CI=Confidence interval; LL=Lower limits; UL=Upper limits; obs=observations.

^*Dummy variables: marital status=married (with spouse) vs. widowed/separated/divorced (without spouse).

Figure & Data

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Risk Factors Influencing Probability and Severity of Elder Abuse in Community-dwelling Older Adults: Applying Zero-inflated Negative Binomial Modeling of Abuse Count Data

J Korean Acad Nurs. 2012;42(6):819-832. Published online December 31, 2012

DOI: https://doi.org/10.4040/jkan.2012.42.6.819

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Risk Factors Influencing Probability and Severity of Elder Abuse in Community-dwelling Older Adults: Applying Zero-inflated Negative Binomial Modeling of Abuse Count Data

Table 1

Descriptive Statistics of Study Variables (N=416)

^*Elders who experienced abuse at least once within the previous year.

Table 2

Adjusted Odds Ratio of Risk Factors for Elder Abuse (N=416)

OR=Odds ratio; CI=Confidence interval; LL=Lower limits; UL=Upper limits.

Table 3

Negative Binomial Regression for the Number of Elder Abuse (N=416)

CI=Confidence interval; LL=Lower limits; UL=Upper limits; ref.=reference category of dummy variable.

Table 4

Zero-inflated Negative Binominal Regression for the Number of Elder Abuse

CI=Confidence interval; LL=Lower limits; UL=Upper limits; obs=observations.

^*Dummy variables: marital status=married (with spouse) vs. widowed/separated/divorced (without spouse).

Table 1 Descriptive Statistics of Study Variables (N=416)

^*Elders who experienced abuse at least once within the previous year.

Table 2 Adjusted Odds Ratio of Risk Factors for Elder Abuse (N=416)

OR=Odds ratio; CI=Confidence interval; LL=Lower limits; UL=Upper limits.

Table 3 Negative Binomial Regression for the Number of Elder Abuse (N=416)

CI=Confidence interval; LL=Lower limits; UL=Upper limits; ref.=reference category of dummy variable.

Table 4 Zero-inflated Negative Binominal Regression for the Number of Elder Abuse

CI=Confidence interval; LL=Lower limits; UL=Upper limits; obs=observations.

^*Dummy variables: marital status=married (with spouse) vs. widowed/separated/divorced (without spouse).