Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries

Detalhes bibliográficos
Autor(a) principal: Fraga, S
Data de Publicação: 2014
Outros Autores: Lindert, J, Barros, H, Torres-Gonzalez, F, Ioannidi-Kapolou, E, Melchiorre, MG
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10216/114863
Resumo: OBJECTIVES: To compare the prevalence of elder abuse using a multilevel approach that takes into account the characteristics of participants as well as socioeconomic indicators at city and country level. METHODS: In 2009, the project on abuse of elderly in Europe (ABUEL) was conducted in seven cities (Stuttgart, Germany; Ancona, Italy; Kaunas, Lithuania, Stockholm, Sweden; Porto, Portugal; Granada, Spain; Athens, Greece) comprising 4467 individuals aged 60-84 years. We used a 3-level hierarchical structure of data: 1) characteristics of participants; 2) mean of tertiary education of each city; and 3) country inequality indicator (Gini coefficient). Multilevel logistic regression was used and proportional changes in Intraclass Correlation Coefficient (ICC) were inspected to assert explained variance between models. RESULTS: The prevalence of elder abuse showed large variations across sites. Adding tertiary education to the regression model reduced the country level variance for psychological abuse (ICC=3.4%), with no significant decrease in the explained variance for the other types of abuse. When the Gini coefficient was considered, the highest drop in ICC was observed for financial abuse (from 9.5% to 4.3%). CONCLUSION: There is a societal and community level dimension that adds information to individual variability in explaining country differences in elder abuse, highlighting underlying socioeconomic inequalities leading to such behavior.
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spelling Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countriesDomestic violence - ElderlyOBJECTIVES: To compare the prevalence of elder abuse using a multilevel approach that takes into account the characteristics of participants as well as socioeconomic indicators at city and country level. METHODS: In 2009, the project on abuse of elderly in Europe (ABUEL) was conducted in seven cities (Stuttgart, Germany; Ancona, Italy; Kaunas, Lithuania, Stockholm, Sweden; Porto, Portugal; Granada, Spain; Athens, Greece) comprising 4467 individuals aged 60-84 years. We used a 3-level hierarchical structure of data: 1) characteristics of participants; 2) mean of tertiary education of each city; and 3) country inequality indicator (Gini coefficient). Multilevel logistic regression was used and proportional changes in Intraclass Correlation Coefficient (ICC) were inspected to assert explained variance between models. RESULTS: The prevalence of elder abuse showed large variations across sites. Adding tertiary education to the regression model reduced the country level variance for psychological abuse (ICC=3.4%), with no significant decrease in the explained variance for the other types of abuse. When the Gini coefficient was considered, the highest drop in ICC was observed for financial abuse (from 9.5% to 4.3%). CONCLUSION: There is a societal and community level dimension that adds information to individual variability in explaining country differences in elder abuse, highlighting underlying socioeconomic inequalities leading to such behavior.20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10216/114863eng0091-7435 10.1016/j.ypmed.2014.01.008Fraga, SLindert, JBarros, HTorres-Gonzalez, FIoannidi-Kapolou, EMelchiorre, MGinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:40:51Zoai:repositorio-aberto.up.pt:10216/114863Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:06:40.229213Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
title Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
spellingShingle Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
Fraga, S
Domestic violence - Elderly
title_short Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
title_full Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
title_fullStr Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
title_full_unstemmed Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
title_sort Elder abuse and socioeconomic inequalities: A multilevel study in 7 European countries
author Fraga, S
author_facet Fraga, S
Lindert, J
Barros, H
Torres-Gonzalez, F
Ioannidi-Kapolou, E
Melchiorre, MG
author_role author
author2 Lindert, J
Barros, H
Torres-Gonzalez, F
Ioannidi-Kapolou, E
Melchiorre, MG
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Fraga, S
Lindert, J
Barros, H
Torres-Gonzalez, F
Ioannidi-Kapolou, E
Melchiorre, MG
dc.subject.por.fl_str_mv Domestic violence - Elderly
topic Domestic violence - Elderly
description OBJECTIVES: To compare the prevalence of elder abuse using a multilevel approach that takes into account the characteristics of participants as well as socioeconomic indicators at city and country level. METHODS: In 2009, the project on abuse of elderly in Europe (ABUEL) was conducted in seven cities (Stuttgart, Germany; Ancona, Italy; Kaunas, Lithuania, Stockholm, Sweden; Porto, Portugal; Granada, Spain; Athens, Greece) comprising 4467 individuals aged 60-84 years. We used a 3-level hierarchical structure of data: 1) characteristics of participants; 2) mean of tertiary education of each city; and 3) country inequality indicator (Gini coefficient). Multilevel logistic regression was used and proportional changes in Intraclass Correlation Coefficient (ICC) were inspected to assert explained variance between models. RESULTS: The prevalence of elder abuse showed large variations across sites. Adding tertiary education to the regression model reduced the country level variance for psychological abuse (ICC=3.4%), with no significant decrease in the explained variance for the other types of abuse. When the Gini coefficient was considered, the highest drop in ICC was observed for financial abuse (from 9.5% to 4.3%). CONCLUSION: There is a societal and community level dimension that adds information to individual variability in explaining country differences in elder abuse, highlighting underlying socioeconomic inequalities leading to such behavior.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
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url http://hdl.handle.net/10216/114863
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language eng
dc.relation.none.fl_str_mv 0091-7435 
10.1016/j.ypmed.2014.01.008
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