Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort

Bibliographic Details
Main Author: Rocha, Aline S.
Publication Date: 2022
Other Authors: 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.
Format: Article
Language: eng
Source: Repositório Institucional da FIOCRUZ (ARCA)
Download full: https://www.arca.fiocruz.br/handle/icict/56391
Summary: 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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spelling 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
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
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
url https://www.arca.fiocruz.br/handle/icict/56391
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BMC
publisher.none.fl_str_mv BMC
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/56391/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/56391/2/Rocha%2c%20A.%20S.%20Differences%20in%20risk%20factors%20for%20incident.pdf
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repository.name.fl_str_mv Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv repositorio.arca@fiocruz.br
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