Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/56391 |
Resumo: | Ministério da Ciência, Tecnologia e Inovações (MCTI). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Ministério da Saúde (MS). Secretaria de Ciência e Tecnologia e Insumos Estratégicos (SCTIE). Departamento de Ciência e Tecnologia (Decit). Bill & Melinda Gates Foundation’s Grandes Desafios Brasil – Desenvolvimento Saudável para Todas as Crianças. Secretaria de Vigilância em Saúde, Ministério da Saúde, Brasil. Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB). Wellcome Trust. Financiadora de Estudos e Projetos (FINEP). Secretaria de Ciência e Tecnologia do Estado da Bahia (SECTI). Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). |
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Rocha, Aline S.Silva, Rita de Cássia RibeiroFiaccone, Rosemeire L.Paixao, Enny S.Falcão, Ila R.Alves, Flavia Jôse O.Silva, Natanael J.Ortelan, NaiáRodrigues, Laura C.Ichihara, Maria YuryAlmeida, Marcia F. deBarreto, Mauricio L.2023-01-09T12:43:43Z2023-01-09T12:43:43Z2022ROCHA, Aline S. et al. Differences in risk factors for incidente and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort. BMC Medicine, v. 20, n. 111, p. 1-10, 2022.1741-7015https://www.arca.fiocruz.br/handle/icict/5639110.1186/s12916-022-02313-4Ministério da Ciência, Tecnologia e Inovações (MCTI). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Ministério da Saúde (MS). Secretaria de Ciência e Tecnologia e Insumos Estratégicos (SCTIE). Departamento de Ciência e Tecnologia (Decit). Bill & Melinda Gates Foundation’s Grandes Desafios Brasil – Desenvolvimento Saudável para Todas as Crianças. Secretaria de Vigilância em Saúde, Ministério da Saúde, Brasil. Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB). Wellcome Trust. Financiadora de Estudos e Projetos (FINEP). Secretaria de Ciência e Tecnologia do Estado da Bahia (SECTI). Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).Universidade Federal da Bahia. Escola de Nutrição. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.Universidade Federal da Bahia. Escola de Nutrição. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Departamento de Estatística. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil / Faculty of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. London, UK.Universidade Federal da Bahia. Escola de Nutrição. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, BrasilFundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil / Barcelona Institute for Global Health. Hospital Clinic. Barcelona, Spain.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil / Faculty of Epidemiology and Population Health. London School of Hygiene and Tropical Medicine. London, UK.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil.University of Sao Paulo. School of Public Health. São Paulo, SP, Brazil.Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Centro de Integração de Dados e Conhecimentos para a Saúde. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Background: Preterm birth (PTB) is a syndrome resulting from a complex list of underlying causes and factors, and whether these risk factors differ in the context of prior PTB history is less understood. The aim of this study was to explore whether PTB risk factors in a second pregnancy were different in women with versus without previous PTB. Methods: We conducted a population-based cohort study using data from the birth cohort of the Center for Data and Knowledge Integration for Health (CIDACS) for the period 2001 to 2015. We used longitudinal transition models with multivariate logistic regression to investigate whether risk factors varied between incident and recurrent PTB. Results: A total of 3,528,050 live births from 1,764,025 multiparous women were analyzed. We identified different risk factors (Pdifference <0.05) between incident and recurrent PTB. The following were associated with an increased chance for PTB incidence, but not recurrent: household overcrowding (OR 1.09), maternal race/ethnicity [(Black/mixed—OR 1.04) and (indigenous—OR 1.34)], young maternal age (14 to 19 years—OR 1.16), and cesarean delivery (OR 1.09). The following were associated with both incident and recurrent PTB, respectively: single marital status (OR 0.85 vs 0.90), reduced number of prenatal visits [(no visit—OR 2.56 vs OR 2.16) and (1 to 3 visits—OR 2.44 vs OR 2.24)], short interbirth interval [(12 to 23 months—OR 1.04 vs OR 1.22) and (<12 months, OR 1.89, 95 vs OR 2.58)], and advanced maternal age (35–49 years—OR 1.42 vs OR 1.45). For most risk factors, the point estimates were higher for incident PTB than recurrent PTB. Conclusions: The risk factors for PTB in the second pregnancy differed according to women’s first pregnancy PTB status. The findings give the basis for the development of specific prevention strategies for PTB in a subsequent pregnancy.engBMCNascimento prematuroParto prematuro incidenteparto prematuro recorrenteFator de riscoPopulações pobresPreterm birthIncident preterm birthRecurrent preterm birthRisk factorPoor populationsNascimento prematuroFatores de riscoPobrezaDifferences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohortinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/56391/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALRocha, A. S. Differences in risk factors for incident.pdfRocha, A. S. Differences in risk factors for incident.pdfapplication/pdf1131378https://www.arca.fiocruz.br/bitstream/icict/56391/2/Rocha%2c%20A.%20S.%20Differences%20in%20risk%20factors%20for%20incident.pdfb36af8bded17cdfddd55d30672080c62MD52icict/563912023-03-15 14:32:49.918oai:www.arca.fiocruz.br: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ório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-03-15T17:32:49Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.en_US.fl_str_mv |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort |
title |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort |
spellingShingle |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort Rocha, Aline S. Nascimento prematuro Parto prematuro incidente parto prematuro recorrente Fator de risco Populações pobres Preterm birth Incident preterm birth Recurrent preterm birth Risk factor Poor populations Nascimento prematuro Fatores de risco Pobreza |
title_short |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort |
title_full |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort |
title_fullStr |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort |
title_full_unstemmed |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort |
title_sort |
Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort |
author |
Rocha, Aline S. |
author_facet |
Rocha, Aline S. Silva, Rita de Cássia Ribeiro Fiaccone, Rosemeire L. Paixao, Enny S. Falcão, Ila R. Alves, Flavia Jôse O. Silva, Natanael J. Ortelan, Naiá Rodrigues, Laura C. Ichihara, Maria Yury Almeida, Marcia F. de Barreto, Mauricio L. |
author_role |
author |
author2 |
Silva, Rita de Cássia Ribeiro Fiaccone, Rosemeire L. Paixao, Enny S. Falcão, Ila R. Alves, Flavia Jôse O. Silva, Natanael J. Ortelan, Naiá Rodrigues, Laura C. Ichihara, Maria Yury Almeida, Marcia F. de Barreto, Mauricio L. |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Rocha, Aline S. Silva, Rita de Cássia Ribeiro Fiaccone, Rosemeire L. Paixao, Enny S. Falcão, Ila R. Alves, Flavia Jôse O. Silva, Natanael J. Ortelan, Naiá Rodrigues, Laura C. Ichihara, Maria Yury Almeida, Marcia F. de Barreto, Mauricio L. |
dc.subject.other.en_US.fl_str_mv |
Nascimento prematuro Parto prematuro incidente parto prematuro recorrente Fator de risco Populações pobres |
topic |
Nascimento prematuro Parto prematuro incidente parto prematuro recorrente Fator de risco Populações pobres Preterm birth Incident preterm birth Recurrent preterm birth Risk factor Poor populations Nascimento prematuro Fatores de risco Pobreza |
dc.subject.en.en_US.fl_str_mv |
Preterm birth Incident preterm birth Recurrent preterm birth Risk factor Poor populations |
dc.subject.decs.en_US.fl_str_mv |
Nascimento prematuro Fatores de risco Pobreza |
description |
Ministério da Ciência, Tecnologia e Inovações (MCTI). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Ministério da Saúde (MS). Secretaria de Ciência e Tecnologia e Insumos Estratégicos (SCTIE). Departamento de Ciência e Tecnologia (Decit). Bill & Melinda Gates Foundation’s Grandes Desafios Brasil – Desenvolvimento Saudável para Todas as Crianças. Secretaria de Vigilância em Saúde, Ministério da Saúde, Brasil. Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB). Wellcome Trust. Financiadora de Estudos e Projetos (FINEP). Secretaria de Ciência e Tecnologia do Estado da Bahia (SECTI). Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-01-09T12:43:43Z |
dc.date.available.fl_str_mv |
2023-01-09T12:43:43Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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dc.identifier.citation.fl_str_mv |
ROCHA, Aline S. et al. Differences in risk factors for incidente and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort. BMC Medicine, v. 20, n. 111, p. 1-10, 2022. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/56391 |
dc.identifier.issn.en_US.fl_str_mv |
1741-7015 |
dc.identifier.doi.none.fl_str_mv |
10.1186/s12916-022-02313-4 |
identifier_str_mv |
ROCHA, Aline S. et al. Differences in risk factors for incidente and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort. BMC Medicine, v. 20, n. 111, p. 1-10, 2022. 1741-7015 10.1186/s12916-022-02313-4 |
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https://www.arca.fiocruz.br/handle/icict/56391 |
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eng |
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eng |
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BMC |
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BMC |
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