Spatial distribution of cesarean sections in Brazil from 2000 to 2019

Detalhes bibliográficos
Autor(a) principal: Belarmino, Vanusa
Data de Publicação: 2022
Outros Autores: Carlotto, Kharen, Maduell, Márcia Cristina Pereira, Gonçalves, Carla Vitola
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/27657
Resumo: Objective: to identify the prevalence of cesarean sections in Brazil and their distribution in the country according to the maternal socioeconomic and obstetric profile. Methods: ecological study on the prevalence of cesarean sections in Brazil in the period between 2000 to 2019. Bivariate analysis was used to evaluate the spatial autocorrelation between the outcome and the independent variables, generating the Local Moran Index and spatial correlation maps. GeoDa 1.18 was the program used. Results: 59,291,381 live births were registered and the prevalence of cesarean section was 49%. Performing a cesarean section showed overall positive spatial autocorrelation (I= 0.435 p= 0.004) and formation of a High/High cluster for all variables studied in the states of the South, Southeast and Center-West regions. Conclusion: there is a pattern of spatial dependence in the distribution of the prevalence of cesarean sections. It is evident the importance of awareness about the route of delivery, both for pregnant women and health professionals.
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spelling Spatial distribution of cesarean sections in Brazil from 2000 to 2019Distribución especial de la cesárea en Brasil de 2000 a 2019Distribuição espacial da cesárea no Brasil de 2000 a 2019Distribución espacialCesáreaBrasilEpidemiología.Spatial distributionCesarean sectionBrazilEpidemiology.Distribuição espacialCesáreaBrasilEpidemiologia.Objective: to identify the prevalence of cesarean sections in Brazil and their distribution in the country according to the maternal socioeconomic and obstetric profile. Methods: ecological study on the prevalence of cesarean sections in Brazil in the period between 2000 to 2019. Bivariate analysis was used to evaluate the spatial autocorrelation between the outcome and the independent variables, generating the Local Moran Index and spatial correlation maps. GeoDa 1.18 was the program used. Results: 59,291,381 live births were registered and the prevalence of cesarean section was 49%. Performing a cesarean section showed overall positive spatial autocorrelation (I= 0.435 p= 0.004) and formation of a High/High cluster for all variables studied in the states of the South, Southeast and Center-West regions. Conclusion: there is a pattern of spatial dependence in the distribution of the prevalence of cesarean sections. It is evident the importance of awareness about the route of delivery, both for pregnant women and health professionals.Objetivo: identificar la prevalencia de cesárea en Brasil y su distribución en el país según el perfil socioeconómico y obstétrico materno. Metodología: estudio ecológico sobre la prevalencia de cesáreas en Brasil de 2000 a 2019. Para evaluar la autocorrelación espacial entre el resultado y las variables independientes, se utilizó el análisis bivariado, que generó el Índice Local de Moran y mapas de correlación espacial. GeoDa 1.18 fue el programa utilizado. Resultados: se registraron 59.291.381 nacidos vivos y la prevalencia de cesárea fue del 49%. La realización de una cesárea presentó autocorrelación espacial global positiva (I = 0,435 p = 0,004) y formación de un tipo de conglomerado Alto / Alto, en todas las variables estudiadas, en los estados de las regiones Sur, Sudeste y Centro Oeste. Conclusión: existe un patrón de dependencia espacial en la distribución de la prevalencia de cesárea. Se destaca la importancia de la conciencia sobre el modo de parto, tanto para las embarazadas como para los profesionales de la salud.Objetivo: identificar a prevalência de cesárea no Brasil e sua distribuição no país de acordo com o perfil socioeconômico e obstétrico materno. Metodologia: estudo ecológico sobre a prevalência de cesarianas no Brasil no período de 2000 a 2019. Para avaliação da autocorrelação espacial entre o desfecho e as variáveis independentes foi utilizada a análise bivariada, que gerou o Índice de Moran Local e os mapas de correlação espacial. GeoDa 1.18 foi o programa utlizado. Resultados: Foram registrados 59.291.381 nascidos vivos e a prevalência de cesárea foi de 49%. Realizar cesárea apresentou autocorrelação global espacial positiva (I= 0,435  p= 0,004) e formação de cluster do tipo Alto/Alto, em todas as variávies estudadas, nos estados das regiões Sul, Sudeste e Centro-Oeste. Conclusão: percebe-se um padrão de dependência espacial na distribuição da prevalência de cesárea. Evidencia-se a importância da conscientização, sobre a via de parto, tanto das gestantes quanto dos profissionais de saúde.Research, Society and Development2022-03-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2765710.33448/rsd-v11i4.27657Research, Society and Development; Vol. 11 No. 4; e43211427657Research, Society and Development; Vol. 11 Núm. 4; e43211427657Research, Society and Development; v. 11 n. 4; e432114276572525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/27657/24067Copyright (c) 2022 Vanusa Belarmino; Kharen Carlotto; Márcia Cristina Pereira Maduell; Carla Vitola Gonçalveshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBelarmino, VanusaCarlotto, KharenMaduell, Márcia Cristina Pereira Gonçalves, Carla Vitola 2022-03-27T17:17:09Zoai:ojs.pkp.sfu.ca:article/27657Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:45:18.487319Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Spatial distribution of cesarean sections in Brazil from 2000 to 2019
Distribución especial de la cesárea en Brasil de 2000 a 2019
Distribuição espacial da cesárea no Brasil de 2000 a 2019
title Spatial distribution of cesarean sections in Brazil from 2000 to 2019
spellingShingle Spatial distribution of cesarean sections in Brazil from 2000 to 2019
Belarmino, Vanusa
Distribución espacial
Cesárea
Brasil
Epidemiología.
Spatial distribution
Cesarean section
Brazil
Epidemiology.
Distribuição espacial
Cesárea
Brasil
Epidemiologia.
title_short Spatial distribution of cesarean sections in Brazil from 2000 to 2019
title_full Spatial distribution of cesarean sections in Brazil from 2000 to 2019
title_fullStr Spatial distribution of cesarean sections in Brazil from 2000 to 2019
title_full_unstemmed Spatial distribution of cesarean sections in Brazil from 2000 to 2019
title_sort Spatial distribution of cesarean sections in Brazil from 2000 to 2019
author Belarmino, Vanusa
author_facet Belarmino, Vanusa
Carlotto, Kharen
Maduell, Márcia Cristina Pereira
Gonçalves, Carla Vitola
author_role author
author2 Carlotto, Kharen
Maduell, Márcia Cristina Pereira
Gonçalves, Carla Vitola
author2_role author
author
author
dc.contributor.author.fl_str_mv Belarmino, Vanusa
Carlotto, Kharen
Maduell, Márcia Cristina Pereira
Gonçalves, Carla Vitola
dc.subject.por.fl_str_mv Distribución espacial
Cesárea
Brasil
Epidemiología.
Spatial distribution
Cesarean section
Brazil
Epidemiology.
Distribuição espacial
Cesárea
Brasil
Epidemiologia.
topic Distribución espacial
Cesárea
Brasil
Epidemiología.
Spatial distribution
Cesarean section
Brazil
Epidemiology.
Distribuição espacial
Cesárea
Brasil
Epidemiologia.
description Objective: to identify the prevalence of cesarean sections in Brazil and their distribution in the country according to the maternal socioeconomic and obstetric profile. Methods: ecological study on the prevalence of cesarean sections in Brazil in the period between 2000 to 2019. Bivariate analysis was used to evaluate the spatial autocorrelation between the outcome and the independent variables, generating the Local Moran Index and spatial correlation maps. GeoDa 1.18 was the program used. Results: 59,291,381 live births were registered and the prevalence of cesarean section was 49%. Performing a cesarean section showed overall positive spatial autocorrelation (I= 0.435 p= 0.004) and formation of a High/High cluster for all variables studied in the states of the South, Southeast and Center-West regions. Conclusion: there is a pattern of spatial dependence in the distribution of the prevalence of cesarean sections. It is evident the importance of awareness about the route of delivery, both for pregnant women and health professionals.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/27657
10.33448/rsd-v11i4.27657
url https://rsdjournal.org/index.php/rsd/article/view/27657
identifier_str_mv 10.33448/rsd-v11i4.27657
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/27657/24067
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 4; e43211427657
Research, Society and Development; Vol. 11 Núm. 4; e43211427657
Research, Society and Development; v. 11 n. 4; e43211427657
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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