Evidence map›Paper›PMID 41198195›Full record

ArticleBMJ open2025

Clusters of adolescent pregnancies and neonatal deaths in São Paulo state, Brazil: a population-based spatial analysis with a socioeconomic approach.

Carina Nunes Vieira E Oliveira, Tulio Konstantyner, Daniela Testoni Costa-Nobre, Ana Sílvia Scavacini Marinonio, Mandira Daripa Kawakami, Rita de Cássia Xavier Balda, Milton Miyoshi, Adriana Sanudo, Kelsy C N Areco, Paulo Bandiera-Paiva and 6 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Carina Nunes Vieira E OliveiraPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0009-0003-7086-3696
Tulio KonstantynerPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil tkmed@uol.com.br.ORCID http://orcid.org/0000-0002-7931-9692
Daniela Testoni Costa-NobrePediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0001-7629-4904
Ana Sílvia Scavacini MarinonioPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0001-9845-6097
Mandira Daripa KawakamiPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0001-5230-1989
Rita de Cássia Xavier BaldaPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.
Milton MiyoshiPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0002-4935-6505
Adriana SanudoPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0003-1187-0143
Kelsy C N ArecoHealth Informatics, Unifesp EPM, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0002-7801-757X
Paulo Bandiera-PaivaHealth Informatics, Unifesp EPM, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0001-9409-3970
Rosa Maria Vieira de FreitasSEADE, Sao Paulo, Brazil.
Monica La Porte TeixeiraGerencia de Demografia, SEADE, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0001-7571-8154
Bernadette Cunha WaldvogelSEADE, Sao Paulo, Brazil.
Carlos Roberto KifferInfectious Disease, Unifesp EPM, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0003-1122-0693
Maria Fernanda B de AlmeidaPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0001-5864-3808
Ruth GuinsburgPediatrics, Universidade Federal de São Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0003-1967-9861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAdolescent pregnancy is a global issue. Early childbearing is strongly linked to poverty and negative health outcomes, including increased neonatal death risk. This study explores spatial patterns of adolescent pregnancies and neonatal deaths and their association with socioeconomic characteristics.

designThis population-based study used spatial analysis techniques to investigate the geographical distribution of adolescent pregnancies, socioeconomic characteristics and neonatal mortality rate (NMR).

settingThe 645 municipalities of State of Sao Paulo, Brazil.

participantsAll live births to mothers residing in the State of Sao Paulo, Brazil, between 2004 and 2020. PRIMARY AND SECONDARY OUTCOME MEASURES: The socioeconomic indicators used were: municipal human development index and per capita income (PCI). Spatial patterns were assessed for spatial autocorrelation (Moran's

resultsThe study analysed over 10 million live births, with 14.3% attributed to adolescent mothers. Spatial analysis revealed significant clustering of adolescent pregnancies, strongly associated with lower socioeconomic indicators. NMR also exhibited spatial clustering, particularly after smoothing. Statistically significant differences were observed in PCI medians between high-high and low-low clusters for adolescent births. High and low incidence areas of NMR, both in all maternal ages and stratified by adolescent and non-adolescent mothers, demonstrated considerable overlap.

conclusionThe results indicated the existence of clustering areas of adolescent pregnancy and neonatal deaths and suggested that the prevalence of births to adolescent mothers is not distributed equally and is higher in lower socioeconomic developed areas.

Indexed as

Infant MortalityPerinatal DeathPregnancy in AdolescenceAdolescentAdultBrazilCluster AnalysisFemaleHumansInfantInfant, NewbornPregnancySocioeconomic FactorsSpatial AnalysisYoung AdultAdolescentEPIDEMIOLOGIC STUDIESMortalityNEONATOLOGYPregnant WomenPUBLIC HEALTH

Identifiers

PMID41198195
PMCPMC12593450

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.