Evidence map›Paper›PMID 40604506›Full record

ArticleBMC pregnancy and childbirth2025

Maternal and gestational factors associated with congenital anomalies among live births: a nationwide population-based study in Brazil from 2012 to 2020.

Qeren Hapuk Rodrigues Ferreira Fernandes, Enny S Paixão, Maria da Conceição Nascimento Costa, Maria Glória Teixeira, Mauricio Lima Barreto, Angelina Xavier Acosta

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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qeren Hapuk Rodrigues Ferreira FernandesPostgraduate Program in Biotechnology in Health and Investigative Medicine at the Gonçalo Moniz Institute - FIOCRUZ - BA, Salvador, Brazil. qerenferreira@gmail.com.
Enny S PaixãoLondon School of Hygiene and Tropical Medicine, London, UK.
Maria da Conceição Nascimento CostaInstitute of Public Health, Federal University of Bahia, Salvador, Brazil.
Maria Glória TeixeiraInstitute of Public Health, Federal University of Bahia, Salvador, Brazil.
Mauricio Lima BarretoInstitute of Public Health, Federal University of Bahia, Salvador, Brazil.
Angelina Xavier AcostaCollege of Medicine of Bahia, Federal University of Bahia, Salvador, Brazil.

Funding

Wellcome TrustWellcome Trust 225925/Z/22/Z
6 · The paper itself

Abstract

backgroundCongenital anomalies are structural and/or functional alterations that contribute significantly to an increase in morbidity and mortality risk observed in children around the world. These disorders are complex, and their occurrence is influenced by a variety of factors, including socioeconomic conditions that play a significant. Understanding these factors is essential to informing targeted preventive strategies for children with congenital anomalies. Thus, this study investigated the socioeconomic and biological factors associated with congenital anomalies in Brazil.

methodsWe conducted a population-based study using linked data (the birth information system (SINASC) and mortality information system (SIM)), in Brazil from 2012 to 2020. We estimated the odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression based on a hierarchical model. Initially, a bivariate analysis was carried out to estimate the crude effect of factors associated with congenital anomalies in live births. It was followed by a multilevel framework with three models, in which Model 1 included distal variables, Model 2 added an intermediate variable, and Model 3 incorporated all variables.

resultsOf the 26,107,682 live births included in this study, 144,291 (0.6%) had congenital abnormalities. Black mothers had higher odds of having children with congenital anomalies (OR 1.16; CI 95% 1.14-1.19) than white mothers, and those without prenatal appointments had an increased chance of having children with congenital anomalies (OR 1.47; CI 95% 1.39-1.56) compared to those who started prenatal care in the first months of pregnancy. Maternal age, more than 40 years (OR 2.26; CI 95% 2.20-2.33), and multifetal gestation (OR 1.49; CI 95% 1.45-1.54) were factors associated with a greater chance of live births with congenital anomalies.

conclusionsOur findings indicate that the likelihood of congenital anomalies is highest among live births from the most socially and economically disadvantaged women in Brazil, mainly those who did not have access to adequate prenatal care. In addition, biological characteristics such as advanced maternal age and multifetal pregnancy have also been shown to increase the chances of an affected birth. Understanding the risk factors for the occurrence of births affected by congenital anomalies allows the implementation of actions to reduce exposure to modifiable risk factors, before and during pregnancy.

Indexed as

Congenital AbnormalitiesLive BirthAdultBrazilFemaleHumansInfant, NewbornMaternal AgePregnancyRisk FactorsSocioeconomic FactorsYoung AdultCongenital anomaliesGestational factorsMaternal factorsPregnancy outcomes

Identifiers

PMID40604506
PMCPMC12219230

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