Active ageing among elderly community members: structural equation modeling analysis
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Enfermagem (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020001500179 |
Resumo: | ABSTRACT Objective: to propose a structural model of active ageing among elderly community members based on the World Health Organization’s theoretical framework and to identify the most relevant determinants of active ageing to the proposed model. Methods: a cross-sectional and analytical study conducted with 957 elderly community members. Confirmatory factor analysis and structural equation modeling were performed. Results: the final measurement model was composed of the six determinants of active ageing: behavioral (R²=0.66); personal (R²=0.74); physical environment (R²=0.70); social (R²=0.77); economic (R²=0.44); and social and health services (R²=0.95). The last one showed good quality of adjustment: χ2/gl=3.50; GFI=0.94; CFI=0.92; TLI=0.90; RMSEA=0.05. By analyzing the trajectories between determinants and active ageing, the most representative was social and health services active ageing (λ=0.97; p<0.001). Conclusion: satisfaction with access to health services and positive self-assessment of health status were the factors that most contributed to active ageing in this population. |
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Active ageing among elderly community members: structural equation modeling analysisHealth of the ElderlyAgeingElderly Statistical Factor AnalysisGeriatric NursingABSTRACT Objective: to propose a structural model of active ageing among elderly community members based on the World Health Organization’s theoretical framework and to identify the most relevant determinants of active ageing to the proposed model. Methods: a cross-sectional and analytical study conducted with 957 elderly community members. Confirmatory factor analysis and structural equation modeling were performed. Results: the final measurement model was composed of the six determinants of active ageing: behavioral (R²=0.66); personal (R²=0.74); physical environment (R²=0.70); social (R²=0.77); economic (R²=0.44); and social and health services (R²=0.95). The last one showed good quality of adjustment: χ2/gl=3.50; GFI=0.94; CFI=0.92; TLI=0.90; RMSEA=0.05. By analyzing the trajectories between determinants and active ageing, the most representative was social and health services active ageing (λ=0.97; p<0.001). Conclusion: satisfaction with access to health services and positive self-assessment of health status were the factors that most contributed to active ageing in this population.Associação Brasileira de Enfermagem2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020001500179Revista Brasileira de Enfermagem v.73 suppl.3 2020reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2020-0110info:eu-repo/semantics/openAccessOliveira,Nayara Gomes NunesTavares,Darlene Mara dos Santoseng2020-10-20T00:00:00Zoai:scielo:S0034-71672020001500179Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2020-10-20T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false |
dc.title.none.fl_str_mv |
Active ageing among elderly community members: structural equation modeling analysis |
title |
Active ageing among elderly community members: structural equation modeling analysis |
spellingShingle |
Active ageing among elderly community members: structural equation modeling analysis Oliveira,Nayara Gomes Nunes Health of the Elderly Ageing Elderly Statistical Factor Analysis Geriatric Nursing |
title_short |
Active ageing among elderly community members: structural equation modeling analysis |
title_full |
Active ageing among elderly community members: structural equation modeling analysis |
title_fullStr |
Active ageing among elderly community members: structural equation modeling analysis |
title_full_unstemmed |
Active ageing among elderly community members: structural equation modeling analysis |
title_sort |
Active ageing among elderly community members: structural equation modeling analysis |
author |
Oliveira,Nayara Gomes Nunes |
author_facet |
Oliveira,Nayara Gomes Nunes Tavares,Darlene Mara dos Santos |
author_role |
author |
author2 |
Tavares,Darlene Mara dos Santos |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Oliveira,Nayara Gomes Nunes Tavares,Darlene Mara dos Santos |
dc.subject.por.fl_str_mv |
Health of the Elderly Ageing Elderly Statistical Factor Analysis Geriatric Nursing |
topic |
Health of the Elderly Ageing Elderly Statistical Factor Analysis Geriatric Nursing |
description |
ABSTRACT Objective: to propose a structural model of active ageing among elderly community members based on the World Health Organization’s theoretical framework and to identify the most relevant determinants of active ageing to the proposed model. Methods: a cross-sectional and analytical study conducted with 957 elderly community members. Confirmatory factor analysis and structural equation modeling were performed. Results: the final measurement model was composed of the six determinants of active ageing: behavioral (R²=0.66); personal (R²=0.74); physical environment (R²=0.70); social (R²=0.77); economic (R²=0.44); and social and health services (R²=0.95). The last one showed good quality of adjustment: χ2/gl=3.50; GFI=0.94; CFI=0.92; TLI=0.90; RMSEA=0.05. By analyzing the trajectories between determinants and active ageing, the most representative was social and health services active ageing (λ=0.97; p<0.001). Conclusion: satisfaction with access to health services and positive self-assessment of health status were the factors that most contributed to active ageing in this population. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020001500179 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020001500179 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-7167-2020-0110 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Enfermagem |
publisher.none.fl_str_mv |
Associação Brasileira de Enfermagem |
dc.source.none.fl_str_mv |
Revista Brasileira de Enfermagem v.73 suppl.3 2020 reponame:Revista Brasileira de Enfermagem (Online) instname:Associação Brasileira de Enfermagem (ABEN) instacron:ABEN |
instname_str |
Associação Brasileira de Enfermagem (ABEN) |
instacron_str |
ABEN |
institution |
ABEN |
reponame_str |
Revista Brasileira de Enfermagem (Online) |
collection |
Revista Brasileira de Enfermagem (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN) |
repository.mail.fl_str_mv |
reben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br |
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1754303038607065088 |