Cesarean sections and social inequalities in 305 cities of Latin America

Autores
Perner, Mónica Serena; Ortigoza, Ana; Trotta, Andrés; Yamada, Goro; Braverman Bronstein, Ariela; Friche, Amélia Augusta; Alazraqui, Marcio; Diez Roux, Ana Victoria
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Background: Cesarean section (CS) is a surgical procedure that, when medically justified, can help reduce maternal and infant morbidity and mortality. Worldwide CS rates (CSR) have been increasing; Latin America has rates that are among the highest in the world. Aim: Describe the variability of CSR across cities in Brazil, Colombia, Guatemala, Mexico, and Peru and examine the relationship of individual-level, sub-city, and city-level socioeconomic status (SES) with CSR. Methods: We used individual level data from vital statistics over the period 2014–2016 (delivery method, mother's age and education), census data to characterize sub-city SES and city GDP per capita from other sources compiled by the SALURBAL project. We fitted multilevel negative binomial regression models to estimate associations of SES with CSR. Results: 11,549,028 live births from 1,101 sub-city units in 305 cities of five countries were included. Overall, the CSR was 52%, with a wide range across sub-cities (13–91%). Of the total variability in sub-city CSRs, 67% was within countries. In fully adjusted model higher CSR was associated with higher maternal education [(PRR (CI95%) 0.81 (0.80–0.82) for lower educational level, 1.32 (1.31–1.33) for higher level (ref. medium category)], with higher maternal age [PRR (CI95%) 1.23 (1.22–1.24) for ages 20–34 years, and 1.48 (1.47–1.49) for ages ≥ 35 years (ref. ≤19 years], higher sub-city SES [(PRR (CI95%) 1.02 (1.01–1.03) per 1SD)], and higher city GDP per capita [(PRR (CI95%): 1.03 (1.00–1.07) for GDP between 10,500–18,000, and 1.09 (1.06–1.13) for GDP 18,000 or more (ref. <10,500)]. Conclusion: We found large variability in CSR across cities highlighting the potential role of local policies on CSR levels. Variability was associated in part with maternal and area education and GDP. Further research is needed to understand the reasons for this pattern and any policy implications it may have.
Fil: Perner, Mónica Serena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lanús; Argentina
Fil: Ortigoza, Ana. Drexel University; Estados Unidos
Fil: Trotta, Andrés. Universidad Nacional de Lanús; Argentina
Fil: Yamada, Goro. Drexel University; Estados Unidos
Fil: Braverman Bronstein, Ariela. Drexel University; Estados Unidos
Fil: Friche, Amélia Augusta. Universidade Federal de Minas Gerais; Brasil
Fil: Alazraqui, Marcio. Universidad Nacional de Lanús; Argentina
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
Materia
CESAREAN SECTION
SOCIAL INEQUALITIES
MEDICALIZATION
MULTILEVEL ANALYSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/221600

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network_name_str CONICET Digital (CONICET)
spelling Cesarean sections and social inequalities in 305 cities of Latin AmericaPerner, Mónica SerenaOrtigoza, AnaTrotta, AndrésYamada, GoroBraverman Bronstein, ArielaFriche, Amélia AugustaAlazraqui, MarcioDiez Roux, Ana VictoriaCESAREAN SECTIONSOCIAL INEQUALITIESMEDICALIZATIONMULTILEVEL ANALYSIShttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Background: Cesarean section (CS) is a surgical procedure that, when medically justified, can help reduce maternal and infant morbidity and mortality. Worldwide CS rates (CSR) have been increasing; Latin America has rates that are among the highest in the world. Aim: Describe the variability of CSR across cities in Brazil, Colombia, Guatemala, Mexico, and Peru and examine the relationship of individual-level, sub-city, and city-level socioeconomic status (SES) with CSR. Methods: We used individual level data from vital statistics over the period 2014–2016 (delivery method, mother's age and education), census data to characterize sub-city SES and city GDP per capita from other sources compiled by the SALURBAL project. We fitted multilevel negative binomial regression models to estimate associations of SES with CSR. Results: 11,549,028 live births from 1,101 sub-city units in 305 cities of five countries were included. Overall, the CSR was 52%, with a wide range across sub-cities (13–91%). Of the total variability in sub-city CSRs, 67% was within countries. In fully adjusted model higher CSR was associated with higher maternal education [(PRR (CI95%) 0.81 (0.80–0.82) for lower educational level, 1.32 (1.31–1.33) for higher level (ref. medium category)], with higher maternal age [PRR (CI95%) 1.23 (1.22–1.24) for ages 20–34 years, and 1.48 (1.47–1.49) for ages ≥ 35 years (ref. ≤19 years], higher sub-city SES [(PRR (CI95%) 1.02 (1.01–1.03) per 1SD)], and higher city GDP per capita [(PRR (CI95%): 1.03 (1.00–1.07) for GDP between 10,500–18,000, and 1.09 (1.06–1.13) for GDP 18,000 or more (ref. <10,500)]. Conclusion: We found large variability in CSR across cities highlighting the potential role of local policies on CSR levels. Variability was associated in part with maternal and area education and GDP. Further research is needed to understand the reasons for this pattern and any policy implications it may have.Fil: Perner, Mónica Serena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lanús; ArgentinaFil: Ortigoza, Ana. Drexel University; Estados UnidosFil: Trotta, Andrés. Universidad Nacional de Lanús; ArgentinaFil: Yamada, Goro. Drexel University; Estados UnidosFil: Braverman Bronstein, Ariela. Drexel University; Estados UnidosFil: Friche, Amélia Augusta. Universidade Federal de Minas Gerais; BrasilFil: Alazraqui, Marcio. Universidad Nacional de Lanús; ArgentinaFil: Diez Roux, Ana Victoria. Drexel University; Estados UnidosElsevier2022-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/221600Perner, Mónica Serena; Ortigoza, Ana; Trotta, Andrés; Yamada, Goro; Braverman Bronstein, Ariela; et al.; Cesarean sections and social inequalities in 305 cities of Latin America; Elsevier; SSM - Population Health; 19; 9-2022; 1-82352-8273CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S235282732200218Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ssmph.2022.101239info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:25Zoai:ri.conicet.gov.ar:11336/221600instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:04:26.671CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Cesarean sections and social inequalities in 305 cities of Latin America
title Cesarean sections and social inequalities in 305 cities of Latin America
spellingShingle Cesarean sections and social inequalities in 305 cities of Latin America
Perner, Mónica Serena
CESAREAN SECTION
SOCIAL INEQUALITIES
MEDICALIZATION
MULTILEVEL ANALYSIS
title_short Cesarean sections and social inequalities in 305 cities of Latin America
title_full Cesarean sections and social inequalities in 305 cities of Latin America
title_fullStr Cesarean sections and social inequalities in 305 cities of Latin America
title_full_unstemmed Cesarean sections and social inequalities in 305 cities of Latin America
title_sort Cesarean sections and social inequalities in 305 cities of Latin America
dc.creator.none.fl_str_mv Perner, Mónica Serena
Ortigoza, Ana
Trotta, Andrés
Yamada, Goro
Braverman Bronstein, Ariela
Friche, Amélia Augusta
Alazraqui, Marcio
Diez Roux, Ana Victoria
author Perner, Mónica Serena
author_facet Perner, Mónica Serena
Ortigoza, Ana
Trotta, Andrés
Yamada, Goro
Braverman Bronstein, Ariela
Friche, Amélia Augusta
Alazraqui, Marcio
Diez Roux, Ana Victoria
author_role author
author2 Ortigoza, Ana
Trotta, Andrés
Yamada, Goro
Braverman Bronstein, Ariela
Friche, Amélia Augusta
Alazraqui, Marcio
Diez Roux, Ana Victoria
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CESAREAN SECTION
SOCIAL INEQUALITIES
MEDICALIZATION
MULTILEVEL ANALYSIS
topic CESAREAN SECTION
SOCIAL INEQUALITIES
MEDICALIZATION
MULTILEVEL ANALYSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Background: Cesarean section (CS) is a surgical procedure that, when medically justified, can help reduce maternal and infant morbidity and mortality. Worldwide CS rates (CSR) have been increasing; Latin America has rates that are among the highest in the world. Aim: Describe the variability of CSR across cities in Brazil, Colombia, Guatemala, Mexico, and Peru and examine the relationship of individual-level, sub-city, and city-level socioeconomic status (SES) with CSR. Methods: We used individual level data from vital statistics over the period 2014–2016 (delivery method, mother's age and education), census data to characterize sub-city SES and city GDP per capita from other sources compiled by the SALURBAL project. We fitted multilevel negative binomial regression models to estimate associations of SES with CSR. Results: 11,549,028 live births from 1,101 sub-city units in 305 cities of five countries were included. Overall, the CSR was 52%, with a wide range across sub-cities (13–91%). Of the total variability in sub-city CSRs, 67% was within countries. In fully adjusted model higher CSR was associated with higher maternal education [(PRR (CI95%) 0.81 (0.80–0.82) for lower educational level, 1.32 (1.31–1.33) for higher level (ref. medium category)], with higher maternal age [PRR (CI95%) 1.23 (1.22–1.24) for ages 20–34 years, and 1.48 (1.47–1.49) for ages ≥ 35 years (ref. ≤19 years], higher sub-city SES [(PRR (CI95%) 1.02 (1.01–1.03) per 1SD)], and higher city GDP per capita [(PRR (CI95%): 1.03 (1.00–1.07) for GDP between 10,500–18,000, and 1.09 (1.06–1.13) for GDP 18,000 or more (ref. <10,500)]. Conclusion: We found large variability in CSR across cities highlighting the potential role of local policies on CSR levels. Variability was associated in part with maternal and area education and GDP. Further research is needed to understand the reasons for this pattern and any policy implications it may have.
Fil: Perner, Mónica Serena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lanús; Argentina
Fil: Ortigoza, Ana. Drexel University; Estados Unidos
Fil: Trotta, Andrés. Universidad Nacional de Lanús; Argentina
Fil: Yamada, Goro. Drexel University; Estados Unidos
Fil: Braverman Bronstein, Ariela. Drexel University; Estados Unidos
Fil: Friche, Amélia Augusta. Universidade Federal de Minas Gerais; Brasil
Fil: Alazraqui, Marcio. Universidad Nacional de Lanús; Argentina
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos
description Background: Cesarean section (CS) is a surgical procedure that, when medically justified, can help reduce maternal and infant morbidity and mortality. Worldwide CS rates (CSR) have been increasing; Latin America has rates that are among the highest in the world. Aim: Describe the variability of CSR across cities in Brazil, Colombia, Guatemala, Mexico, and Peru and examine the relationship of individual-level, sub-city, and city-level socioeconomic status (SES) with CSR. Methods: We used individual level data from vital statistics over the period 2014–2016 (delivery method, mother's age and education), census data to characterize sub-city SES and city GDP per capita from other sources compiled by the SALURBAL project. We fitted multilevel negative binomial regression models to estimate associations of SES with CSR. Results: 11,549,028 live births from 1,101 sub-city units in 305 cities of five countries were included. Overall, the CSR was 52%, with a wide range across sub-cities (13–91%). Of the total variability in sub-city CSRs, 67% was within countries. In fully adjusted model higher CSR was associated with higher maternal education [(PRR (CI95%) 0.81 (0.80–0.82) for lower educational level, 1.32 (1.31–1.33) for higher level (ref. medium category)], with higher maternal age [PRR (CI95%) 1.23 (1.22–1.24) for ages 20–34 years, and 1.48 (1.47–1.49) for ages ≥ 35 years (ref. ≤19 years], higher sub-city SES [(PRR (CI95%) 1.02 (1.01–1.03) per 1SD)], and higher city GDP per capita [(PRR (CI95%): 1.03 (1.00–1.07) for GDP between 10,500–18,000, and 1.09 (1.06–1.13) for GDP 18,000 or more (ref. <10,500)]. Conclusion: We found large variability in CSR across cities highlighting the potential role of local policies on CSR levels. Variability was associated in part with maternal and area education and GDP. Further research is needed to understand the reasons for this pattern and any policy implications it may have.
publishDate 2022
dc.date.none.fl_str_mv 2022-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/221600
Perner, Mónica Serena; Ortigoza, Ana; Trotta, Andrés; Yamada, Goro; Braverman Bronstein, Ariela; et al.; Cesarean sections and social inequalities in 305 cities of Latin America; Elsevier; SSM - Population Health; 19; 9-2022; 1-8
2352-8273
CONICET Digital
CONICET
url http://hdl.handle.net/11336/221600
identifier_str_mv Perner, Mónica Serena; Ortigoza, Ana; Trotta, Andrés; Yamada, Goro; Braverman Bronstein, Ariela; et al.; Cesarean sections and social inequalities in 305 cities of Latin America; Elsevier; SSM - Population Health; 19; 9-2022; 1-8
2352-8273
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S235282732200218X
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ssmph.2022.101239
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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