Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours

Detalhes bibliográficos
Autor(a) principal: Santos, Ana João
Data de Publicação: 2019
Outros Autores: Nunes, Baltazar, Kislaya, Irina, Gil, Ana Paula, Ribeiro, Oscar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/6490
Resumo: Free PMC article: https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31014265/
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spelling Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behavioursElder AbuseLatent Class AnalysisVictimizationPerpetratorsDeterminantes da Saúde e da DoençaFree PMC article: https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31014265/Background: Research on elder abuse has defined it as a multidimensional construct that encompasses a set of different abusive behaviours, victims, perpetrators and settings. The array of possible elder abuse configurations is difficult to capture. This study sought to identify victimization patterns that represent distinct elder abuse configurations based on specific abusive behaviours and on the relationship with the perpetrator; it also sought to determine the association between these latent classes with victims' characteristics. Method: Data comes from two elder abuse surveys: a representative sample of community-dwelling adults and a convenience sample of older adults reporting elder abuse to four state and NGOs institutions. Latent Class Analysis (LCA) was used to categorize victimization in the population-based (N = 245) and in the victims' sample (N = 510) using 7 items measuring physical, psychological and financial abuse, and appointed perpetrators. Association tests were conducted to determine differences and similarities of victims' characteristics between the different obtained classes. Results: The LCA procedure identified six different latent classes of victimization experiences in each of the samples, which were statistically and plausibly distinct. In the population-based survey: verbal abuse by others (29%); psychological abuse from children/grandchildren (18%); overlooked by others (18%); stolen by others (15%); verbal Intimate Partner Violence (IPV) (14%) and physical and psychological IPV (6%). In the victims' survey: physical abuse by children/grandchildren (29%); physical IPV (26%); psychological abuse by children/grandchildren (18%); polyvictimization by others (16%); physical abuse by others (6%) and physical and psychological IPV (4%). In the victims survey the 6 groups significantly differ in age, gender, civil status, living arrangements, perceived social support and functional status. Conclusions: The results support the possibility of the multidimensionality of elder abuse not being accounted by the "classical" abuse typologies. Elder abuse victims seeking help may represent a distinct group from that included in population-based prevalence studies. The appointed perpetrators may be the most meaningful and relevant aspect in distinguishing victimization experiences. Further research is needed to develop tailored interventions to specific elder abuse cases and enhance successful outcomes.The present study did not received any funding, but employed a subset of the dataset of the Ageing and Violence project. This project was conducted by the Epidemiology Department of the National Health Institute Doutor Ricardo Jorge and was funded by the Foundation for Science and Technology (Fundação para a Ciência e Tecnologia) in Portugal (grant PTDC/CS-SOC/110311/2009).BMCRepositório Científico do Instituto Nacional de SaúdeSantos, Ana JoãoNunes, BaltazarKislaya, IrinaGil, Ana PaulaRibeiro, Oscar2020-04-22T20:25:39Z2019-04-232019-04-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/6490engBMC Geriatr. 2019 Apr 23;19(1):117. doi: 10.1186/s12877-019-1111-51471-231810.1186/s12877-019-1111-5info: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:RCAAP2023-07-20T15:41:28Zoai:repositorio.insa.pt:10400.18/6490Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:41:10.868974Repositório 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 victimization patterns: latent class analysis using perpetrators and abusive behaviours
title Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours
spellingShingle Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours
Santos, Ana João
Elder Abuse
Latent Class Analysis
Victimization
Perpetrators
Determinantes da Saúde e da Doença
title_short Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours
title_full Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours
title_fullStr Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours
title_full_unstemmed Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours
title_sort Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours
author Santos, Ana João
author_facet Santos, Ana João
Nunes, Baltazar
Kislaya, Irina
Gil, Ana Paula
Ribeiro, Oscar
author_role author
author2 Nunes, Baltazar
Kislaya, Irina
Gil, Ana Paula
Ribeiro, Oscar
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Santos, Ana João
Nunes, Baltazar
Kislaya, Irina
Gil, Ana Paula
Ribeiro, Oscar
dc.subject.por.fl_str_mv Elder Abuse
Latent Class Analysis
Victimization
Perpetrators
Determinantes da Saúde e da Doença
topic Elder Abuse
Latent Class Analysis
Victimization
Perpetrators
Determinantes da Saúde e da Doença
description Free PMC article: https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/31014265/
publishDate 2019
dc.date.none.fl_str_mv 2019-04-23
2019-04-23T00:00:00Z
2020-04-22T20:25:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/6490
url http://hdl.handle.net/10400.18/6490
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv BMC Geriatr. 2019 Apr 23;19(1):117. doi: 10.1186/s12877-019-1111-5
1471-2318
10.1186/s12877-019-1111-5
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BMC
publisher.none.fl_str_mv BMC
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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