Korean J Women Health Nurs KJWHN Korean Journal of Women Health Nursing 1225-9543 Korean Academy of Women's Health Nursing 10.4069/kjwhn.2010.16.3.245 Original Article Predictors of Intention to Report Elder Abuse among Elderly Women Ko Chung Mee Associate Professor, College of Nursing, Sungshin Women's University, Korea. Address reprint requests to: Ko, Chung Mee, College of Nursing, Sungshin Women's University, 249-1 Dongsun-dong 3-ga, Seongbuk-gu, Seoul 136-742, Korea. Tel: 82-2-920-7725, Fax: 82-2-920-2091, cmklee@sungshin.ac.kr 09 2010 30 09 2010 16 3 245 254 31 07 2010 20 08 2010 Copyright © 2010 Korean Academy of Women's Health Nursing 2010 Purpose

This study was designed to identify the predictors of elderly women's intention to report elder abuse.

 Methods

A cross-sectional survey design was used. The participants were 204 elderly women aged over 60 living in Seoul. Data were collected using self-reported questionnaires by convenience sampling. Data were analyzed with frequencies, χ2 test, t-test and binary logistic regression.

 Results

Logistic regression analyses showed perception of elderly welfare law, perception of seriousness of elder abuse, subjective economic status, and exposure to elder abuse information were significant predictors of elderly women's intention to report elder abuse.

 Conclusion

The results of study suggest that the provision of information related to elder abuse including elderly welfare law is crucial toward elderly women in preventing elder abuse.

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Frequency of Intention to Report (N=204)

Differences in Intention to Report by Sociodemographic Characteristics of Participants (N=204)

Note. % of valid n for each variable(missing excluded).

Differences in Intention to Report by Elder Abuse-related Characteristics (N=204)

Note. % of valid n for each variable(missing excluded).

Predictive Factors of Intention to Report by Logistic Regression

CI=confidence interval.