Evidence map›Paper›PMID 38635018›Full record

ReviewJournal of prevention (2022)2024

Social Inequalities in Child Development: Analysis of Low-Birth-Weight Trends in Brazil, 2010-2020.

Audêncio Victor, Italo Wesley Oliveira Aguiar, Renzo Flores-Ortiz, Manuel Mahoche, Ana Raquel Manuel Gotine, Ila Falcão, Melsequisete Daniel Vasco, Andrêa Ferreira, Sancho Pedro Xavier, Mark Omenka and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of prevention (2022), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 2 citations in OpenAlex.

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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

12 authors at 6 institutions in 5 countries.

Audêncio VictorSchool of Public Health, Faculdade de Saúde Pública- USP, University of São Paulo-Brazil, Avenida Doutor Arnaldo, 715, São Paulo, SP, 01246-904, Brazil. Audenciovictor@gmail.com.ORCID 0000-0002-8161-3639
Italo Wesley Oliveira AguiarPos-graduate Programme in Public Health, Federal University of Ceará, Fortaleza, CE, Brasil.
Renzo Flores-OrtizCentre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.
Manuel MahocheSchool of Public Health, Faculdade de Saúde Pública- USP, University of São Paulo-Brazil, Avenida Doutor Arnaldo, 715, São Paulo, SP, 01246-904, Brazil.
Ana Raquel Manuel GotineSchool of Public Health, Faculdade de Saúde Pública- USP, University of São Paulo-Brazil, Avenida Doutor Arnaldo, 715, São Paulo, SP, 01246-904, Brazil.
Ila FalcãoCentre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.
Melsequisete Daniel VascoInstitute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil.
Andrêa FerreiraCentre for Data and Knowledge Integration for Health, Oswaldo Cruz Foundation, Salvador, BA, Brazil.
Sancho Pedro XavierInstitute of Collective Health, Federal University of Mato Grosso, Cuiabá, Brazil.
Mark OmenkaUniversity of Calabar, Calabar, Nigeria.
José Leopoldo Ferreira AntunesSchool of Public Health, Faculdade de Saúde Pública- USP, University of São Paulo-Brazil, Avenida Doutor Arnaldo, 715, São Paulo, SP, 01246-904, Brazil.
Patrícia H RondoSchool of Public Health, Faculdade de Saúde Pública- USP, University of São Paulo-Brazil, Avenida Doutor Arnaldo, 715, São Paulo, SP, 01246-904, Brazil.
Universidade de São Paulo · BRKnowledge Integration (United Kingdom) · GBUniversidade Federal da Bahia · BRUniversidade Federal de Mato Grosso · BRUniversidade Federal do Ceará · BRUniversity of Calabar · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLow birth weight (LBW) is a global issue prevalent in low-income countries. Economic assessments of interventions to reduce this burden are crucial to guide health policies. However, there is a relative scarcity of research that illustrates the magnitude of LBW by country and region to support the design of public policies.

objectiveThis study aimed to analyze the temporal trend of fetal growth in newborns in Brazil between 2010 and 2020.

methodsA time series study was conducted using data from the Live Births Information System (SINASC), which is managed by the Department of Information and Informatics of the Unified Health System (DATASUS) of the Brazilian Ministry of Health. The Prais-Winsten linear model was applied to analyze the annual proportions of LBW. The annual percentage changes (APC) and their respective 95% confidence intervals (95%CI) were calculated. Prevalence rate averages of LBW were calculated and displayed on thematic maps to visualize the evolution dynamics in each Federation Unit (FU).

resultsA total of 31,887,329 women from all Federative Units of Brazil were included in the study from 2010 to 2020. The Southeast region had the largest proportion of participants, with records from 2015 accounting for 9.5% of the total. Among the women in the study, 49.6% were between the ages of 20 and 29, and the majority (75.5%) had between 8 and 12 years of schooling. The newborns of these women were predominantly male (58.8%) and non-white (59.5%). The study found that there was a trend towards stabilization of increasing proportions of LBW in the North, Northeast, and Centre-West regions between 2010 and 2020. In Brazil and other regions, these tendencies remained stable.

conclusionTo improve living conditions and reduce social inequalities and health inequities, public policies and actions are necessary. Strengthening the Unified Health System (SUS), income transfer programs, quota policies for vulnerable groups, and gender equality measures such as improving access to education for women and the labor sector are among the suggested approaches.

Indexed as

Infant, Low Birth WeightSocioeconomic FactorsAdultBrazilChild DevelopmentFemaleHumansInfant, NewbornMalePrevalenceYoung AdultDisparities and social inequalitiesLow birth weightTime series

Identifiers

PMID38635018
OpenAlexW4394918375

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.