Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/5853 |
Resumo: | Objective: To measure prematurity prevalence from 2011-2021, according to brazilian’s macroregion and maternal characteristics, in the last 11 years, comparing the pandemic years of COVID-19 (2020-2021), with the historical series (2011-2019). Methods: Ecological study based on the Information System on Live Births. Prevalences are calculated according to year, macro-region, and maternal characteristics. Time series analysis by the generalized linear model of Prais-Winsten. Results: Prematurity rate between 2011-2021: 11,1%, stable in the period. The mean in the pandemic period (11.3% 95%CI 11.2;11.4%) resembled the baseline mean (11.0%95%CI10.6; 11.5). The northern region (11.6%) had the highest rate in 2011-2021. Twin pregnancy (56.3%) and pregnant with 4-6 prenatal visits (16.7%) presented an increasing trend (p<0.001). Extreme maternal age, black and indigenous women, and lower education had higher rates. Conclusion: Greater prematurity in pregnant in women in social vulnerability, twin pregnancies, and Northern Region. The rates remained stable, with no difference between periods. |
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Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021Prevalencia y tendencia temporal de la prematuridad en Brasil antes y durante la pandemia de Covid-19: análisis de la serie histórica de 2011 a 2021Prevalência e tendência temporal da prematuridade no Brasil antes e durante a pandemia de covid-19: análise da série histórica 2011-2021Covid-19Nascimento PrematuroRecém-Nascido PrematuroEstudos de Séries TemporaisBrasilCOVID-19Premature BirthInfant, PrematureTime Series StudiesBrazilCOVID-19Nacimiento PrematuroRecien Nacido PrematuroEstudios de Series TemporalesBrasilObjective: To measure prematurity prevalence from 2011-2021, according to brazilian’s macroregion and maternal characteristics, in the last 11 years, comparing the pandemic years of COVID-19 (2020-2021), with the historical series (2011-2019). Methods: Ecological study based on the Information System on Live Births. Prevalences are calculated according to year, macro-region, and maternal characteristics. Time series analysis by the generalized linear model of Prais-Winsten. Results: Prematurity rate between 2011-2021: 11,1%, stable in the period. The mean in the pandemic period (11.3% 95%CI 11.2;11.4%) resembled the baseline mean (11.0%95%CI10.6; 11.5). The northern region (11.6%) had the highest rate in 2011-2021. Twin pregnancy (56.3%) and pregnant with 4-6 prenatal visits (16.7%) presented an increasing trend (p<0.001). Extreme maternal age, black and indigenous women, and lower education had higher rates. Conclusion: Greater prematurity in pregnant in women in social vulnerability, twin pregnancies, and Northern Region. The rates remained stable, with no difference between periods.Objetivo: Medir la prevalência de prematuridad de 2011 a 2021, según macrorregión brasileña y características maternas, comparando los años de pandemia de COVID-19, con 2011-2019. Métodos: Estudio ecológico basado en el Sistema de Información de Nacimientos Vivos. Prevalencias calculadas según año, macrorregión y características maternas. Análisis de series temporales por el modelo generalizado de Prais-Winsten.Resultados: La prematuridad entre 2011-2021: 11,1%, con estabilidade; la media de en el periodo de la pandemia 11,3% (IC95% 11,2;11,4) se asemejó a la media de referencia (11,0% – IC95% 10,6;11,5). Región del norte tuvo la proporción más alta entre 2011 y 2021. Embarazo gemelar y mujeres con 4-6 visitas prenatales tuvieron tendencia al aumento. Prevalencias más elevadas correspondían a la edad materna extrema, mujeres embarazadas negras e indígenas y niveles de educación más bajos. Conclusión: Mayor prematuridad en situación de vulnerabilidad social, embarazos gemelares y de la Región Norte. Proporciones se mantuvieron estables, sin diferencias entre períodos.Objetivo: mensurar a prevalência de prematuridade segundo macrorregião brasileira e características maternas, nos últimos 11 anos; comparar as proporções durante a pandemia de covid-19 (2020-2021) com as da série histórica (2011-2019). Métodos: estudo ecológico, com dados do Sistema de Informações sobre Nascidos Vivos; prevalências calculadas segundo ano, macrorregião e características maternas; análise da série temporal pelo modelo de Prais-Winsten. Resultados: a prevalência de prematuridade em 2011-2021 foi de 11,1%, estável; a média no período pandêmico (11,3% – IC95% 11,2;11,4%) assemelhou-se à do período-base (11,0% – IC95% 10,6;11,5%); a região Norte (11,6%) apresentou a maior proporção entre 2011 e 2021; gestação gemelar (56,3%) e gestantes com 4-6 consultas de pré-natal (16,7%) apresentaram tendência crescente (p < 0,001); observou-se maior prevalência para extremos de idade materna, gestantes de raça/cor da pele preta, indígenas e menor escolaridade. Conclusão: maior prematuridade nas gestantes socialmente vulneráveis, em gestações gemelares e no Norte; prevalência estável, sem diferença entre períodos.SciELO PreprintsSciELO PreprintsSciELO Preprints2023-03-31info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/585310.1590/s2237-96222023000200005porhttps://preprints.scielo.org/index.php/scielo/article/view/5853/11281Copyright (c) 2023 Marcos Alberton, Vanessa Martins Rosa, Betine Pinto Moehlecke Iserhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAlberton, MarcosRosa, Vanessa MartinsIser, Betine Pinto Moehleckereponame:SciELO Preprintsinstname:Scientific Electronic Library Online (SCIELO)instacron:SCI2023-03-31T18:52:02Zoai:ops.preprints.scielo.org:preprint/5853Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2023-03-31T18:52:02SciELO Preprints - Scientific Electronic Library Online (SCIELO)false |
dc.title.none.fl_str_mv |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 Prevalencia y tendencia temporal de la prematuridad en Brasil antes y durante la pandemia de Covid-19: análisis de la serie histórica de 2011 a 2021 Prevalência e tendência temporal da prematuridade no Brasil antes e durante a pandemia de covid-19: análise da série histórica 2011-2021 |
title |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 |
spellingShingle |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 Alberton, Marcos Covid-19 Nascimento Prematuro Recém-Nascido Prematuro Estudos de Séries Temporais Brasil COVID-19 Premature Birth Infant, Premature Time Series Studies Brazil COVID-19 Nacimiento Prematuro Recien Nacido Prematuro Estudios de Series Temporales Brasil |
title_short |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 |
title_full |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 |
title_fullStr |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 |
title_full_unstemmed |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 |
title_sort |
Prevalence and temporal trend of prematurity in Brazil before and during the Covid-19 pandemic: analysis of the temporal series from 2011 to 2021 |
author |
Alberton, Marcos |
author_facet |
Alberton, Marcos Rosa, Vanessa Martins Iser, Betine Pinto Moehlecke |
author_role |
author |
author2 |
Rosa, Vanessa Martins Iser, Betine Pinto Moehlecke |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Alberton, Marcos Rosa, Vanessa Martins Iser, Betine Pinto Moehlecke |
dc.subject.por.fl_str_mv |
Covid-19 Nascimento Prematuro Recém-Nascido Prematuro Estudos de Séries Temporais Brasil COVID-19 Premature Birth Infant, Premature Time Series Studies Brazil COVID-19 Nacimiento Prematuro Recien Nacido Prematuro Estudios de Series Temporales Brasil |
topic |
Covid-19 Nascimento Prematuro Recém-Nascido Prematuro Estudos de Séries Temporais Brasil COVID-19 Premature Birth Infant, Premature Time Series Studies Brazil COVID-19 Nacimiento Prematuro Recien Nacido Prematuro Estudios de Series Temporales Brasil |
description |
Objective: To measure prematurity prevalence from 2011-2021, according to brazilian’s macroregion and maternal characteristics, in the last 11 years, comparing the pandemic years of COVID-19 (2020-2021), with the historical series (2011-2019). Methods: Ecological study based on the Information System on Live Births. Prevalences are calculated according to year, macro-region, and maternal characteristics. Time series analysis by the generalized linear model of Prais-Winsten. Results: Prematurity rate between 2011-2021: 11,1%, stable in the period. The mean in the pandemic period (11.3% 95%CI 11.2;11.4%) resembled the baseline mean (11.0%95%CI10.6; 11.5). The northern region (11.6%) had the highest rate in 2011-2021. Twin pregnancy (56.3%) and pregnant with 4-6 prenatal visits (16.7%) presented an increasing trend (p<0.001). Extreme maternal age, black and indigenous women, and lower education had higher rates. Conclusion: Greater prematurity in pregnant in women in social vulnerability, twin pregnancies, and Northern Region. The rates remained stable, with no difference between periods. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-31 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/5853 10.1590/s2237-96222023000200005 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/5853 |
identifier_str_mv |
10.1590/s2237-96222023000200005 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/5853/11281 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Marcos Alberton, Vanessa Martins Rosa, Betine Pinto Moehlecke Iser https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Marcos Alberton, Vanessa Martins Rosa, Betine Pinto Moehlecke Iser https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO Preprints SciELO Preprints SciELO Preprints |
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reponame:SciELO Preprints instname:Scientific Electronic Library Online (SCIELO) instacron:SCI |
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Scientific Electronic Library Online (SCIELO) |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - Scientific Electronic Library Online (SCIELO) |
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scielo.submission@scielo.org |
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1797047811234070528 |