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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/221600
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CONICET Digital (CONICET) |
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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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1842269855296782336 |
score |
13.13397 |