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Int J Public Health ; 58(1): 121-32, 2013 Feb.
Article in English | MEDLINE | ID: mdl-22864651

ABSTRACT

OBJECTIVES: We aimed to investigate the prevalence rate of abuse (psychological, physical, sexual, financial, neglect) of older persons (AO) in seven cities from seven countries in Europe (Germany, Greece, Italy, Lithuania, Portugal, Spain, Sweden), and to assess factors potentially associated with AO. METHODS: A cross-sectional study was conducted in 2009 (n = 4,467, aged 60-84). Potentially associated factors were grouped into domains (domain 1: age, gender, migration history; domain 2: education, occupation; domain 3: marital status, living situation; domain 4: habitation, income, financial strain). We calculated odds ratios (OR) with their respective 95 % confidence intervals (CI). RESULTS: Psychological AO was the most common form of AO, ranging from 10.4 % (95 % CI 8.1-13.0) in Italy to 29.7 % (95 % CI 26.2-33.5) in Sweden. Second most common form was financial AO, ranging from 1.8 % (95 % CI 0.9-3.2) in Sweden to 7.8 % (95 % CI 5.8-10.1) in Portugal. Less common was physical AO, ranging from 1.0 % (95 % CI 0.4-2.1) in Italy to 4.0 % (95 % CI 2.6-5.8 %) in Sweden. Sexual AO was least common, ranging from 0.3 (95 % CI 0.0-1.1) in Italy and Spain to 1.5 % (95 % CI 0.7-2.8) in Greece. Being from Germany (AOR 3.25, 95 % CI 2.34-4.51), Sweden (OR 3.16, 95 % CI 2.28-4.39) or Lithuania (AOR 2.45, 95 % CI 1.75-3.43) was associated with increased prevalence rates of AO. CONCLUSION: Country of residence of older people is independent from the four assessed domains associated with AO. Life course perspectives on AO are highly needed to get better insight, and to develop and implement prevention strategies targeted at decreasing prevalence rates of AO.


Subject(s)
Elder Abuse/statistics & numerical data , Emigrants and Immigrants/classification , Marital Status , Social Class , Age Factors , Aged , Aged, 80 and over , Cross-Sectional Studies , Elder Abuse/economics , Elder Abuse/psychology , Female , Germany , Greece , Humans , Italy , Lithuania , Logistic Models , Male , Middle Aged , Odds Ratio , Portugal , Prevalence , Residence Characteristics , Sex Factors , Spain , Sweden
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