The issue of elder abuse not only influence on the elders' physical and mental health seriously, but also increase the social burden of geriatrics disease and the corresponding social welfare agencies. The text reviews the general concept, type and characteristics, total incidence rate and all kinds of abuse, and risk factors of social psychology and psychopathology, thus the elder abuse can be identificated and intervented.
Aged ; China ; epidemiology ; Domestic Violence ; statistics & numerical data ; Elder Abuse ; prevention & control ; statistics & numerical data ; Family ; Humans ; Risk Factors ; United States ; epidemiology

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.
Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Depression/pathology ; Elder Abuse/prevention & control/*statistics & numerical data ; Female ; Health Status ; Humans ; Male ; Mental Health ; Motor Activity ; Odds Ratio ; Probability ; Questionnaires ; Regression Analysis ; Risk Factors ; Self Concept ; Self Report ; Social Support ; Suicidal Ideation