Literature DB >> 32040689

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

Christian Loret de Mola1,2,3, Viviane Cunha Cardoso4, Rosangela Batista5, Helen Gonçalves6, Maria Conceição Pereira Saraiva4, Ana M B Menezes6, Iná S Santos6, Marlos Rodrigues Domingues6, Antonio Augusto Moura da Silva5, Heloisa Bettiol4, Maria Teresa Seabra Soares de Britto E Alves5, Marco Antonio Barbieri4, Aluisio Barros6, Bernardo Lessa Horta6.   

Abstract

OBJECTIVES: To estimate and assess pregnancy smoking trends since 1978, according to sociodemographic characteristics, in three Brazilian sites.
METHODS: We 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.
RESULTS: We 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).
CONCLUSIONS: Pregnancy 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.

Entities:  

Keywords:  Income; Population-based; Pregnancy; Schooling; Smoke; Trend

Mesh:

Year:  2020        PMID: 32040689     DOI: 10.1007/s00038-019-01328-8

Source DB:  PubMed          Journal:  Int J Public Health        ISSN: 1661-8556            Impact factor:   3.380


  30 in total

1.  [Maternal smoking during pregnancy and anthropometric measurements of newborns: a population-based study in southern of Brazil].

Authors:  Linjie Zhang; David A González-Chica; Juraci A Cesar; Raúl A Mendoza-Sassi; Betina Beskow; Natália Larentis; Tatiana Blosfeld
Journal:  Cad Saude Publica       Date:  2011-09       Impact factor: 1.632

2.  Socioeconomic correlates and trends in smoking in pregnancy in New South Wales, Australia.

Authors:  M Mohsin; A E Bauman; R Forero
Journal:  J Epidemiol Community Health       Date:  2010-09-14       Impact factor: 3.710

3.  [The 2004 Pelotas birth cohort: methods and description].

Authors:  Aluísio J D Barros; Iná da Silva dos Santos; Cesar G Victora; Elaine P Albernaz; Marlos R Domingues; Iândora K Timm; Alicia Matijasevich; Andréa D Bertoldi; Fernando C Barros
Journal:  Rev Saude Publica       Date:  2006-06-23       Impact factor: 2.106

4.  Intrauterine exposure to smoking and wheezing in adolescence: the 1993 Pelotas Birth Cohort.

Authors:  F C Werhmeister; B P Nunes; C Loret de Mola; N Gómez-Cofré; P D de Oliveira; P L Marco; M C F Assunção; H Gonçalves; B L Horta; A M B Menezes
Journal:  J Dev Orig Health Dis       Date:  2014-11-18       Impact factor: 2.401

5.  The Inverse Equity Hypothesis: Analyses of Institutional Deliveries in 286 National Surveys.

Authors:  Cesar Gomes Victora; Gary Joseph; Inacio C M Silva; Fatima S Maia; J Patrick Vaughan; Fernando C Barros; Aluisio J D Barros
Journal:  Am J Public Health       Date:  2018-02-22       Impact factor: 9.308

Review 6.  Long-term consequences of fetal and neonatal nicotine exposure: a critical review.

Authors:  Jennifer E Bruin; Hertzel C Gerstein; Alison C Holloway
Journal:  Toxicol Sci       Date:  2010-04-02       Impact factor: 4.849

7.  [Determining factors of smoking habit and its cessation during pregnancy in a urban locality in the southern region of Brazil].

Authors:  I S Halal; C G Victora; F C Barros
Journal:  Rev Saude Publica       Date:  1993-04       Impact factor: 2.106

8.  Social Disparities in Maternal Smoking during Pregnancy: Comparison of Two Birth Cohorts (1996-2002 and 2003-2012) Based on Data from the German KiGGS Study.

Authors:  B Kuntz; T Lampert
Journal:  Geburtshilfe Frauenheilkd       Date:  2016-03       Impact factor: 2.915

9.  Cohort Profile: The 2015 Pelotas (Brazil) Birth Cohort Study.

Authors:  Pedro C Hallal; Andréa D Bertoldi; Marlos R Domingues; Mariângela Freitas da Silveira; Flávio F Demarco; Inácio Crochemore M da Silva; Fernando C Barros; Cesar G Victora; Diego G Bassani
Journal:  Int J Epidemiol       Date:  2018-08-01       Impact factor: 7.196

10.  The Brazil SimSmoke policy simulation model: the effect of strong tobacco control policies on smoking prevalence and smoking-attributable deaths in a middle income nation.

Authors:  David Levy; Liz Maria de Almeida; Andre Szklo
Journal:  PLoS Med       Date:  2012-11-06       Impact factor: 11.069

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