Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling

Abstract: The factors associated with physical violence against pregnant women were analyzed in a cross-sectional study of 1,446 pregnant women from a prenatal cohort who were interviewed in 2010 and 2011 in São Luís, Brazil. In the initial model, socioeconomic status occupied the most distal positi...

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Main Authors: Danielle Cristina Silva Costa, Marizélia Rodrigues Costa Ribeiro, Rosângela Fernandes Lucena Batista, Camila Maia Valente, João Victor Fonseca Ribeiro, Laysa Andrade Almeida, Ludmilla Emilia Martins Costa, Maria Teresa Seabra Soares de Britto e Alves, Antônio Augusto Moura da Silva
Format: Article
Language:English
Published: Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
Series:Cadernos de Saúde Pública
Subjects:
Online Access:http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2017000105007&lng=en&tlng=en
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spelling doaj-7f234b8de3224ece92f75be864a549092020-11-24T23:00:34ZengEscola Nacional de Saúde Pública, Fundação Oswaldo CruzCadernos de Saúde Pública1678-446433110.1590/0102-311x00078515S0102-311X2017000105007Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modelingDanielle Cristina Silva CostaMarizélia Rodrigues Costa RibeiroRosângela Fernandes Lucena BatistaCamila Maia ValenteJoão Victor Fonseca RibeiroLaysa Andrade AlmeidaLudmilla Emilia Martins CostaMaria Teresa Seabra Soares de Britto e AlvesAntônio Augusto Moura da SilvaAbstract: The factors associated with physical violence against pregnant women were analyzed in a cross-sectional study of 1,446 pregnant women from a prenatal cohort who were interviewed in 2010 and 2011 in São Luís, Brazil. In the initial model, socioeconomic status occupied the most distal position, determining sociodemographic factors, social support and the behavioral factors that ultimately determined physical violence, which was investigated as a latent variable. Structural equation modeling was used in the analysis. Pregnant women who were from more disadvantaged backgrounds (p = 0.027), did not reside with intimate partners (p = 0.005), had low social support (p < 0.001) and had a high number of lifetime intimate partners (p = 0.001) reported more episodes of physical violence. Low social support was the primary mediator of the effect of socioeconomic status on physical violence. The effect of marital status was mainly mediated by a high number of lifetime intimate partners.http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2017000105007&lng=en&tlng=enGestantesCuidado Pré-NatalViolência contra a Mulher
collection DOAJ
language English
format Article
sources DOAJ
author Danielle Cristina Silva Costa
Marizélia Rodrigues Costa Ribeiro
Rosângela Fernandes Lucena Batista
Camila Maia Valente
João Victor Fonseca Ribeiro
Laysa Andrade Almeida
Ludmilla Emilia Martins Costa
Maria Teresa Seabra Soares de Britto e Alves
Antônio Augusto Moura da Silva
spellingShingle Danielle Cristina Silva Costa
Marizélia Rodrigues Costa Ribeiro
Rosângela Fernandes Lucena Batista
Camila Maia Valente
João Victor Fonseca Ribeiro
Laysa Andrade Almeida
Ludmilla Emilia Martins Costa
Maria Teresa Seabra Soares de Britto e Alves
Antônio Augusto Moura da Silva
Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling
Cadernos de Saúde Pública
Gestantes
Cuidado Pré-Natal
Violência contra a Mulher
author_facet Danielle Cristina Silva Costa
Marizélia Rodrigues Costa Ribeiro
Rosângela Fernandes Lucena Batista
Camila Maia Valente
João Victor Fonseca Ribeiro
Laysa Andrade Almeida
Ludmilla Emilia Martins Costa
Maria Teresa Seabra Soares de Britto e Alves
Antônio Augusto Moura da Silva
author_sort Danielle Cristina Silva Costa
title Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling
title_short Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling
title_full Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling
title_fullStr Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling
title_full_unstemmed Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling
title_sort factors associated with physical violence against pregnant women from são luís, maranhão state, brazil: an approach using structural equation modeling
publisher Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
series Cadernos de Saúde Pública
issn 1678-4464
description Abstract: The factors associated with physical violence against pregnant women were analyzed in a cross-sectional study of 1,446 pregnant women from a prenatal cohort who were interviewed in 2010 and 2011 in São Luís, Brazil. In the initial model, socioeconomic status occupied the most distal position, determining sociodemographic factors, social support and the behavioral factors that ultimately determined physical violence, which was investigated as a latent variable. Structural equation modeling was used in the analysis. Pregnant women who were from more disadvantaged backgrounds (p = 0.027), did not reside with intimate partners (p = 0.005), had low social support (p < 0.001) and had a high number of lifetime intimate partners (p = 0.001) reported more episodes of physical violence. Low social support was the primary mediator of the effect of socioeconomic status on physical violence. The effect of marital status was mainly mediated by a high number of lifetime intimate partners.
topic Gestantes
Cuidado Pré-Natal
Violência contra a Mulher
url http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2017000105007&lng=en&tlng=en
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