Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Revista Ciências em Saúde |
Texto Completo: | https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1427 |
Resumo: | Objective: To analyze the trend in mortality from paracoccidioidomycosis (PCM) and characterize the sociodemographic profile in Brazil and its geographic regions in a 25-year time series. Methods: This is an ecological time series study. The study participants were the Brazilian population divided into age groups whose underlying cause of death was PCM. To calculate the annual percentage change (VPA) of the coefficients in the trend analysis, the Prais-Winsten regression was used. National mortality coefficients were calculated according to geographic regions, sex and age group and proportional to the other variables. Results: According to this study, there were 2,101 deaths from PCM in Brazil. The trend over the 25 years showed stable behavior in the North and Northeast regions. In the South, Southeast, and Midwest, there was a downward trend. The average mortality in Brazil was 84.04/100,000 inhab., VPA -3.29 (95% CI -2.43; -4.14). According to the analysis of sociodemographic aspects, there was a predominance of ignored schooling (764 deaths; 36%), white race/skin color (1,109; 53%), mixed marital status: married (942; 45%) and single (640; 30%), and place of death predominantly in the hospital environment (1,852; 88%). Conclusion: In Brazil and in the Southeast, South, andMidwest geographic regions, mortality from PCM showed a decreasing temporal trend. In the Northeast and North regions, the trend was stationary. The sociodemographic profile of the dying patients indicated males, adults, with low education, white, and married. |
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Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020Tendência da mortalidade por Paracoccidioidomicose no Brasil – 1996 a 2020ParacoccidioidomycosisMortalityHealth ProfileParacoccidioidomicoseMortalidadePerfil de saúdeObjective: To analyze the trend in mortality from paracoccidioidomycosis (PCM) and characterize the sociodemographic profile in Brazil and its geographic regions in a 25-year time series. Methods: This is an ecological time series study. The study participants were the Brazilian population divided into age groups whose underlying cause of death was PCM. To calculate the annual percentage change (VPA) of the coefficients in the trend analysis, the Prais-Winsten regression was used. National mortality coefficients were calculated according to geographic regions, sex and age group and proportional to the other variables. Results: According to this study, there were 2,101 deaths from PCM in Brazil. The trend over the 25 years showed stable behavior in the North and Northeast regions. In the South, Southeast, and Midwest, there was a downward trend. The average mortality in Brazil was 84.04/100,000 inhab., VPA -3.29 (95% CI -2.43; -4.14). According to the analysis of sociodemographic aspects, there was a predominance of ignored schooling (764 deaths; 36%), white race/skin color (1,109; 53%), mixed marital status: married (942; 45%) and single (640; 30%), and place of death predominantly in the hospital environment (1,852; 88%). Conclusion: In Brazil and in the Southeast, South, andMidwest geographic regions, mortality from PCM showed a decreasing temporal trend. In the Northeast and North regions, the trend was stationary. The sociodemographic profile of the dying patients indicated males, adults, with low education, white, and married.Objetivo: Analisar a tendência da mortalidade por paracoccidioidomicose (PCM) e caracterizar o perfil sociodemográfico no Brasil e suas regiões geográficas numa série temporal de 25 anos. Métodos: Trata-se de estudo ecológico de séries temporais. Considerou-se como participantes do estudo a população brasileira dividida em faixas etárias, que tiveram como causa básica do óbito a PCM. Para calcular a variação percentual anual (VPA) dos coeficientes, na análise de tendência, foi utilizada a regressão de Prais-Winsten. Os coeficientes de mortalidade foram calculados a nível nacional, segundo as regiões geográficas, sexo e faixa etária e proporcional para as demais variáveis. Resultados: De acordo com os resultados deste estudo, ocorreram 2.101 óbitos por PCM no Brasil. A tendência ao longo dos 25 anos evidenciou um comportamento estável nas regiões Norte e Nordeste. Já no Sul, Sudeste e Centro-Oeste houve uma tendêndia de queda. A mortalidade média no Brasil foi de 84,04/100 mil hab., VPA -3,29 (IC 95% -2,43; -4,14). Levando em consideração a análise dos aspectos sociodemográficos, houve um predomínio de escolaridade ignorada (764; 36%), raça/ cor da pele branca (1.109; 53%), estado civil misto: casado (942; 45%) e solteiro (640; 30%), local de ocorrência do óbito predominantemente no âmbito hospitalar (1.852; 88%). Conclusão: Tanto no Brasil como nas regiões geográficas Sudeste, Sul e Centro-Oeste a mortalidade por PCM apresentou-se com tendência temporal decrescente. Já nas regiões Nordeste e Norte a tendência foi estacionária. O perfil sociodemográfico dos pacientes que foram a óbito apontou para sexo masculino, adultos, de baixa escolaridade, brancos e casados.Hospital de Clínicas de Itajubá2023-09-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer reviewedAvaliado pelos parestextoinfo:eu-repo/semantics/otherapplication/pdfapplication/pdfhttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/142710.21876/rcshci.v13i3.1427Health Sciences Journal; v. 13 n. 3 (2023): Julho a Setembro de 2023; 40-46Health Sciences Journal; Vol 13 No 3 (2023): July to September 2023; 40-4610.21876/rcshci.v13i3reponame:Revista Ciências em Saúdeinstname:Hospital de Clínicas de Itajubáinstacron:HCIengporhttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1427/894https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1427/895Copyright (c) 2023 Health Sciences Journalhttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessMaslinkiewicz, AlexandreGomes Valente, Victor HugoRusso Mini, Talita da Silva Pires, Breno GleidneySilva, Beatriz Albuquerque Marques daPinheiro, Paula Jeane da SilvaCosta Leite, RafaelCarvalho, Francisco Rafael de2023-09-22T14:23:32Zoai:ojs.portalrcs.hcitajuba.org.br:article/1427Revistahttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zeroPUBhttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/oaircs@hcitajuba.org.br||rcsfmit@medicinaitajuba.com.br2236-37852236-3785opendoar:2023-09-22T14:23:32Revista Ciências em Saúde - Hospital de Clínicas de Itajubáfalse |
dc.title.none.fl_str_mv |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 Tendência da mortalidade por Paracoccidioidomicose no Brasil – 1996 a 2020 |
title |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 |
spellingShingle |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 Maslinkiewicz, Alexandre Paracoccidioidomycosis Mortality Health Profile Paracoccidioidomicose Mortalidade Perfil de saúde |
title_short |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 |
title_full |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 |
title_fullStr |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 |
title_full_unstemmed |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 |
title_sort |
Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020 |
author |
Maslinkiewicz, Alexandre |
author_facet |
Maslinkiewicz, Alexandre Gomes Valente, Victor Hugo Russo Mini, Talita da Silva Pires, Breno Gleidney Silva, Beatriz Albuquerque Marques da Pinheiro, Paula Jeane da Silva Costa Leite, Rafael Carvalho, Francisco Rafael de |
author_role |
author |
author2 |
Gomes Valente, Victor Hugo Russo Mini, Talita da Silva Pires, Breno Gleidney Silva, Beatriz Albuquerque Marques da Pinheiro, Paula Jeane da Silva Costa Leite, Rafael Carvalho, Francisco Rafael de |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Maslinkiewicz, Alexandre Gomes Valente, Victor Hugo Russo Mini, Talita da Silva Pires, Breno Gleidney Silva, Beatriz Albuquerque Marques da Pinheiro, Paula Jeane da Silva Costa Leite, Rafael Carvalho, Francisco Rafael de |
dc.subject.por.fl_str_mv |
Paracoccidioidomycosis Mortality Health Profile Paracoccidioidomicose Mortalidade Perfil de saúde |
topic |
Paracoccidioidomycosis Mortality Health Profile Paracoccidioidomicose Mortalidade Perfil de saúde |
description |
Objective: To analyze the trend in mortality from paracoccidioidomycosis (PCM) and characterize the sociodemographic profile in Brazil and its geographic regions in a 25-year time series. Methods: This is an ecological time series study. The study participants were the Brazilian population divided into age groups whose underlying cause of death was PCM. To calculate the annual percentage change (VPA) of the coefficients in the trend analysis, the Prais-Winsten regression was used. National mortality coefficients were calculated according to geographic regions, sex and age group and proportional to the other variables. Results: According to this study, there were 2,101 deaths from PCM in Brazil. The trend over the 25 years showed stable behavior in the North and Northeast regions. In the South, Southeast, and Midwest, there was a downward trend. The average mortality in Brazil was 84.04/100,000 inhab., VPA -3.29 (95% CI -2.43; -4.14). According to the analysis of sociodemographic aspects, there was a predominance of ignored schooling (764 deaths; 36%), white race/skin color (1,109; 53%), mixed marital status: married (942; 45%) and single (640; 30%), and place of death predominantly in the hospital environment (1,852; 88%). Conclusion: In Brazil and in the Southeast, South, andMidwest geographic regions, mortality from PCM showed a decreasing temporal trend. In the Northeast and North regions, the trend was stationary. The sociodemographic profile of the dying patients indicated males, adults, with low education, white, and married. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer reviewed Avaliado pelos pares texto info:eu-repo/semantics/other |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1427 10.21876/rcshci.v13i3.1427 |
url |
https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1427 |
identifier_str_mv |
10.21876/rcshci.v13i3.1427 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1427/894 https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1427/895 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Health Sciences Journal https://creativecommons.org/licenses/by-nc-sa/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Health Sciences Journal https://creativecommons.org/licenses/by-nc-sa/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Hospital de Clínicas de Itajubá |
publisher.none.fl_str_mv |
Hospital de Clínicas de Itajubá |
dc.source.none.fl_str_mv |
Health Sciences Journal; v. 13 n. 3 (2023): Julho a Setembro de 2023; 40-46 Health Sciences Journal; Vol 13 No 3 (2023): July to September 2023; 40-46 10.21876/rcshci.v13i3 reponame:Revista Ciências em Saúde instname:Hospital de Clínicas de Itajubá instacron:HCI |
instname_str |
Hospital de Clínicas de Itajubá |
instacron_str |
HCI |
institution |
HCI |
reponame_str |
Revista Ciências em Saúde |
collection |
Revista Ciências em Saúde |
repository.name.fl_str_mv |
Revista Ciências em Saúde - Hospital de Clínicas de Itajubá |
repository.mail.fl_str_mv |
rcs@hcitajuba.org.br||rcsfmit@medicinaitajuba.com.br |
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1797068960335659008 |