Mortality trends due to Paracoccidioidomycosis in Brazil – 1996 to 2020

Detalhes bibliográficos
Autor(a) principal: Maslinkiewicz, Alexandre
Data de Publicação: 2023
Outros Autores: 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
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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spelling 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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