Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.4081/gh.2015.365 |
Resumo: | WOS:000372006400010 |
id |
RCAP_e7a23c8fded9d9851dc488f2867dd272 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/36941 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years oldGeographically weighted regressionMulti-temporal analysisStrokeWorking-age populationPortugalEpidemiologySDG 3 - Good Health and Well-beingWOS:000372006400010Stroke risk has been shown to display varying patterns of geographic distribution amongst countries but also between regions of the same country. Traditionally a disease of older persons, a global 25% increase in incidence instead was noticed between 1990 and 2010 in persons aged 20-≤64 years, particularly in low- and medium-income countries. Understanding spatial disparities in the association between socioeconomic factors and stroke is critical to target public health initiatives aiming to mitigate or prevent this disease, including in younger persons. We aimed to identify socioeconomic determinants of geographic disparities of stroke risk in people <65 years old, in municipalities of mainland Portugal, and the spatiotemporal variation of the association between these determinants and stroke risk during two study periods (1992-1996 and 2002-2006). Poisson and negative binomial global regression models were used to explore determinants of disease risk. Geographically weighted regression (GWR) represents a distinctive approach, allowing estimation of local regression coefficients. Models for both study periods were identified. Significant variables included education attainment, work hours per week and unemployment. Local Poisson GWR models achieved the best fit and evidenced spatially varying regression coefficients. Spatiotemporal inequalities were observed in significant variables, with dissimilarities between men and women. This study contributes to a better understanding of the relationship between stroke and socioeconomic factors in the population <65 years of age, one age group seldom analysed separately. It can thus help to improve the targeting of public health initiatives, even more in a context of economic crisis.Instituto de Higiene e Medicina Tropical (IHMT)Global Health and Tropical Medicine (GHTM)NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolPopulation health, policies and services (PPS)RUNOliveira, AndréCabral, António J RMendes, Jorge M.Martins, MRCabral, Pedro2018-05-14T22:02:13Z2015-11-042015-11-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttps://doi.org/10.4081/gh.2015.365eng1827-1987PURE: 1729974http://www.scopus.com/inward/record.url?scp=84946564695&partnerID=8YFLogxKhttps://doi.org/10.4081/gh.2015.365info: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:RCAAP2024-03-11T04:20:30Zoai:run.unl.pt:10362/36941Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:42.976337Repositório 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 |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old |
title |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old |
spellingShingle |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old Oliveira, André Geographically weighted regression Multi-temporal analysis Stroke Working-age population Portugal Epidemiology SDG 3 - Good Health and Well-being |
title_short |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old |
title_full |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old |
title_fullStr |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old |
title_full_unstemmed |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old |
title_sort |
Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old |
author |
Oliveira, André |
author_facet |
Oliveira, André Cabral, António J R Mendes, Jorge M. Martins, MR Cabral, Pedro |
author_role |
author |
author2 |
Cabral, António J R Mendes, Jorge M. Martins, MR Cabral, Pedro |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Instituto de Higiene e Medicina Tropical (IHMT) Global Health and Tropical Medicine (GHTM) NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School Population health, policies and services (PPS) RUN |
dc.contributor.author.fl_str_mv |
Oliveira, André Cabral, António J R Mendes, Jorge M. Martins, MR Cabral, Pedro |
dc.subject.por.fl_str_mv |
Geographically weighted regression Multi-temporal analysis Stroke Working-age population Portugal Epidemiology SDG 3 - Good Health and Well-being |
topic |
Geographically weighted regression Multi-temporal analysis Stroke Working-age population Portugal Epidemiology SDG 3 - Good Health and Well-being |
description |
WOS:000372006400010 |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-11-04 2015-11-04T00:00:00Z 2018-05-14T22:02:13Z |
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 |
https://doi.org/10.4081/gh.2015.365 |
url |
https://doi.org/10.4081/gh.2015.365 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1827-1987 PURE: 1729974 http://www.scopus.com/inward/record.url?scp=84946564695&partnerID=8YFLogxK https://doi.org/10.4081/gh.2015.365 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
14 application/pdf |
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 instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799137931372265472 |