A typological study of portuguese mortality from non-communicable diseases
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/23771 |
Resumo: | The most common non-communicable diseases, such as cardiovascular diseases and cancer, are a problem in global and national growth. The World Health Organization considers it a priority to study the specific causes of these diseases for trend monitoring. The aim of this paper is to identify a hierarchy of clusters of Portuguese mortality by non-communicable diseases using the agglomerative hierarchical cluster analysis. The Euclidean distance with complete linkage and average linkage criteria are used. These methods identify six clusters with both criteria, indicating some order of disease severity in the way clusters joint together. Special attention should be given to diseases in the last two clusters, where the last one is formed by ischemic heart disease, cerebrovascular diseases and larynx / trachea / bronchi and lung malignant tumor, all for males. In fact, these clustering results show that male gender seems to be a risk factor for at least two groups of the non-communicable diseases. Other suggested risk factors and / or pathophysiological mechanisms that in a direct or indirect way may enhance the common development of the pathologies found in the clusters arising from this study should also be an object of priority study. |
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A typological study of portuguese mortality from non-communicable diseasesPublic healthNon-communicable diseasesDate visualizationCluster analysisThe most common non-communicable diseases, such as cardiovascular diseases and cancer, are a problem in global and national growth. The World Health Organization considers it a priority to study the specific causes of these diseases for trend monitoring. The aim of this paper is to identify a hierarchy of clusters of Portuguese mortality by non-communicable diseases using the agglomerative hierarchical cluster analysis. The Euclidean distance with complete linkage and average linkage criteria are used. These methods identify six clusters with both criteria, indicating some order of disease severity in the way clusters joint together. Special attention should be given to diseases in the last two clusters, where the last one is formed by ischemic heart disease, cerebrovascular diseases and larynx / trachea / bronchi and lung malignant tumor, all for males. In fact, these clustering results show that male gender seems to be a risk factor for at least two groups of the non-communicable diseases. Other suggested risk factors and / or pathophysiological mechanisms that in a direct or indirect way may enhance the common development of the pathologies found in the clusters arising from this study should also be an object of priority study.ASTESRepositório Científico do Instituto Politécnico do PortoNascimento, Ana PaulaPrudêncio, CristinaVieira, MónicaPimenta, RuiBacelar-Nicolau, Helena2023-10-25T13:16:02Z2020-10-052020-10-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/23771engNascimento, A. P., Prudêncio, C., Vieira, M., Pimenta, R., & Bacelar-Nicolau, H. (2020). A Typological Study of Portuguese Mortality from Non-communicable Diseases. Advances in Science, Technology and Engineering Systems Journal, 5(5), 613–619. https://doi.org/10.25046/aj0505752415-6698 10.25046/aj050575info: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:RCAAP2023-11-01T01:46:18Zoai:recipp.ipp.pt:10400.22/23771Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:26:12.547092Repositório 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 |
A typological study of portuguese mortality from non-communicable diseases |
title |
A typological study of portuguese mortality from non-communicable diseases |
spellingShingle |
A typological study of portuguese mortality from non-communicable diseases Nascimento, Ana Paula Public health Non-communicable diseases Date visualization Cluster analysis |
title_short |
A typological study of portuguese mortality from non-communicable diseases |
title_full |
A typological study of portuguese mortality from non-communicable diseases |
title_fullStr |
A typological study of portuguese mortality from non-communicable diseases |
title_full_unstemmed |
A typological study of portuguese mortality from non-communicable diseases |
title_sort |
A typological study of portuguese mortality from non-communicable diseases |
author |
Nascimento, Ana Paula |
author_facet |
Nascimento, Ana Paula Prudêncio, Cristina Vieira, Mónica Pimenta, Rui Bacelar-Nicolau, Helena |
author_role |
author |
author2 |
Prudêncio, Cristina Vieira, Mónica Pimenta, Rui Bacelar-Nicolau, Helena |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Nascimento, Ana Paula Prudêncio, Cristina Vieira, Mónica Pimenta, Rui Bacelar-Nicolau, Helena |
dc.subject.por.fl_str_mv |
Public health Non-communicable diseases Date visualization Cluster analysis |
topic |
Public health Non-communicable diseases Date visualization Cluster analysis |
description |
The most common non-communicable diseases, such as cardiovascular diseases and cancer, are a problem in global and national growth. The World Health Organization considers it a priority to study the specific causes of these diseases for trend monitoring. The aim of this paper is to identify a hierarchy of clusters of Portuguese mortality by non-communicable diseases using the agglomerative hierarchical cluster analysis. The Euclidean distance with complete linkage and average linkage criteria are used. These methods identify six clusters with both criteria, indicating some order of disease severity in the way clusters joint together. Special attention should be given to diseases in the last two clusters, where the last one is formed by ischemic heart disease, cerebrovascular diseases and larynx / trachea / bronchi and lung malignant tumor, all for males. In fact, these clustering results show that male gender seems to be a risk factor for at least two groups of the non-communicable diseases. Other suggested risk factors and / or pathophysiological mechanisms that in a direct or indirect way may enhance the common development of the pathologies found in the clusters arising from this study should also be an object of priority study. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-05 2020-10-05T00:00:00Z 2023-10-25T13:16:02Z |
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/10400.22/23771 |
url |
http://hdl.handle.net/10400.22/23771 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Nascimento, A. P., Prudêncio, C., Vieira, M., Pimenta, R., & Bacelar-Nicolau, H. (2020). A Typological Study of Portuguese Mortality from Non-communicable Diseases. Advances in Science, Technology and Engineering Systems Journal, 5(5), 613–619. https://doi.org/10.25046/aj050575 2415-6698 10.25046/aj050575 |
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 |
ASTES |
publisher.none.fl_str_mv |
ASTES |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799134143742738432 |