Evidence map›Paper›PMID 35564740›Full record

ArticleInternational journal of environmental research and public health2022

Bolsa Familia Program and Perinatal Outcomes: NISAMI Cohort.

Cinthia Soares Lisboa, Jerusa da Mota Santana, Rita de Cássia Ribeiro-Silva, Edna Maria de Araújo, Carlos Alberto Lima da Silva, Mauricio Lima Barreto, Marcos Pereira, Djanilson Barbosa Dos Santos

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Cinthia Soares LisboaPrograma de Pós-Graduação em Saúde Coletiva, Feira de Santana State University, Av. Transnordestina, s/n, Feira de Santana, Novo Horizonte 44036-900, BA, Brazil.ORCID 0000-0002-9370-0465
Jerusa da Mota SantanaCenter of Health Sciences, Universidade Federal do Recôncavo da Bahia, Santo Antônio de Jesus 44574-490, BA, Brazil.
Rita de Cássia Ribeiro-SilvaSchool of Nutrition, Federal University of Bahia, Salvador 40170-110, BA, Brazil.
Edna Maria de AraújoPrograma de Pós-Graduação em Saúde Coletiva, Feira de Santana State University, Av. Transnordestina, s/n, Feira de Santana, Novo Horizonte 44036-900, BA, Brazil.
Carlos Alberto Lima da SilvaPrograma de Pós-Graduação em Saúde Coletiva, Feira de Santana State University, Av. Transnordestina, s/n, Feira de Santana, Novo Horizonte 44036-900, BA, Brazil.
Mauricio Lima BarretoCollective Health Institute, Universidade Federal da Bahia, Rua Basílio da Gama, s/n, Salvador 40110-040, BA, Brazil.
Marcos PereiraCollective Health Institute, Universidade Federal da Bahia, Rua Basílio da Gama, s/n, Salvador 40110-040, BA, Brazil.ORCID 0000-0003-3766-2502
Djanilson Barbosa Dos SantosPrograma de Pós-Graduação em Saúde Coletiva, Feira de Santana State University, Av. Transnordestina, s/n, Feira de Santana, Novo Horizonte 44036-900, BA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the impact of the Bolsa Familia Program on perinatal outcomes of pregnant women. A cohort study was conducted with pregnant women supported by prenatal services at 17 Family Health Units in Bahia, Brazil. A previously tested structured questionnaire, which has sociodemographic, economic, prenatal care, lifestyle, and nutritional variables, has been used to collect data. The outcomes included premature birth and low birth weight. A hierarchical conceptual model was constructed, and logistic regression analysis was performed. From a total of 1173 pregnant women, the identified average age was 25.44 years and 34.10% had pre-gestational overweight. The non-beneficiary pregnant women presented a 1.54 (95% CI = 0.46-5.09) times higher chance of giving birth to children with low weight and a 1.03 (95% CI = 95% CI = 0.53-2.00) times chance of premature birth when compared to the beneficiary group. In the multilevel model, some variables were statistically significant, such as age between 18 and 24 years (

Indexed as

Premature BirthAdolescentAdultBrazilChildCohort StudiesFemaleHumansIncomePregnancyPregnant PeopleYoung Adultbirth weightchild healthnutrition programs and policiespregnancypremature birthsocial programs

Identifiers

PMID35564740
PMCPMC9105772

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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.