Evidence map›Paper›PMID 32040689›Full record

ArticleInternational journal of public health2020

Maternal pregnancy smoking in three Brazilian cities: trends and differences according to education, income, and age.

Christian Loret de Mola, Viviane Cunha Cardoso, Rosangela Batista, Helen Gonçalves, Maria Conceição Pereira Saraiva, Ana M B Menezes, Iná S Santos, Marlos Rodrigues Domingues, Antonio Augusto Moura da Silva, Heloisa Bettiol and 4 more

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Article in International journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Trend and disparities for smoking during pregnancy in the extreme south of Brazil between 2007 and 2019.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  3. 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

14 authors.

Christian Loret de MolaPostgraduate Program in Epidemiology, Universidade Federal de Pelotas, Rua Marechal Deodoro, 1160 - 3° andar, Pelotas, RS, 96020-220, Brazil. chlmz@yahoo.com.
Viviane Cunha CardosoFaculty of Medicine of Ribeirao Preto, University of Sao Paulo, Ribeirão Prêto, Sao Paulo, Brazil.
Rosangela BatistaPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Helen GonçalvesDepartamento de Enfermagem, Programa de Pós-Graduação em Enfermagem, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Maria Conceição Pereira SaraivaFaculty of Medicine of Ribeirao Preto, University of Sao Paulo, Ribeirão Prêto, Sao Paulo, Brazil.
Ana M B MenezesDepartamento de Enfermagem, Programa de Pós-Graduação em Enfermagem, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Iná S SantosDepartamento de Enfermagem, Programa de Pós-Graduação em Enfermagem, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Marlos Rodrigues DominguesDepartamento de Enfermagem, Programa de Pós-Graduação em Enfermagem, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Antonio Augusto Moura da SilvaPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Heloisa BettiolFaculty of Medicine of Ribeirao Preto, University of Sao Paulo, Ribeirão Prêto, Sao Paulo, Brazil.
Maria Teresa Seabra Soares de Britto E AlvesPublic Health Department, Federal University of Maranhão, São Luís, Maranhão, Brazil.
Marco Antonio BarbieriFaculty of Medicine of Ribeirao Preto, University of Sao Paulo, Ribeirão Prêto, Sao Paulo, Brazil.
Aluisio BarrosDepartamento de Enfermagem, Programa de Pós-Graduação em Enfermagem, Universidade Federal de Pelotas, Pelotas, RS, Brazil.
Bernardo Lessa HortaDepartamento de Enfermagem, Programa de Pós-Graduação em Enfermagem, Universidade Federal de Pelotas, Pelotas, RS, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate and assess pregnancy smoking trends since 1978, according to sociodemographic characteristics, in three Brazilian sites.

methodsWe used cross-sectional data from the perinatal studies of nine birth cohorts, located in the southeast (Ribeirão Preto-1978/1979, 1994, and 2010), south (Pelotas-1982, 1993, 2004, and 2015), and northeast (São Luís-1997/1998 and 2010) regions of Brazil. We estimated the prevalence of pregnancy smoking at each time point according to age, education, and family income, in each cohort, and evaluated smoking trends.

resultsWe analyzed data of 17,275 women in Ribeirão Preto, 19,819 in Pelotas, and 7753 in São Luís. Smoking decreased by 59% in Ribeirão Preto (p < 0.001), 54% in Pelotas (p < 0.001), and 32% in São Luís (p < 0.001). However, among those with 0-4 years of education, smoking did not change in Ribeirão Preto (p-trend = 0.501) nor São Luís (p = 0.556) and increased in Pelotas (p-trend = 0.003).

conclusionsPregnancy smoking has been declining during the last decades. However, among less-educated women, pregnancy smoking did not change in two sites and increased in one of them.

Indexed as

Educational StatusIncomeAdultBrazilCitiesCohort StudiesCross-Sectional StudiesFemaleHumansPregnancyPrevalenceSmokingSocioeconomic FactorsYoung AdultIncomePopulation-basedPregnancySchoolingSmokeTrend

Identifiers

PMID32040689

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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.