Mostrar el registro sencillo del ítem

dc.contributor.author
Perner, Mónica Serena  
dc.contributor.author
Ortigoza, Ana  
dc.contributor.author
Trotta, Andrés  
dc.contributor.author
Yamada, Goro  
dc.contributor.author
Braverman Bronstein, Ariela  
dc.contributor.author
Friche, Amélia Augusta  
dc.contributor.author
Alazraqui, Marcio  
dc.contributor.author
Diez Roux, Ana Victoria  
dc.date.available
2023-12-27T14:20:39Z  
dc.date.issued
2022-09  
dc.identifier.citation
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  
dc.identifier.issn
2352-8273  
dc.identifier.uri
http://hdl.handle.net/11336/221600  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
CESAREAN SECTION  
dc.subject
SOCIAL INEQUALITIES  
dc.subject
MEDICALIZATION  
dc.subject
MULTILEVEL ANALYSIS  
dc.subject.classification
Epidemiología  
dc.subject.classification
Ciencias de la Salud  
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Cesarean sections and social inequalities in 305 cities of Latin America  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-12-27T11:02:27Z  
dc.journal.volume
19  
dc.journal.pagination
1-8  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Perner, Mónica Serena. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lanús; Argentina  
dc.description.fil
Fil: Ortigoza, Ana. Drexel University; Estados Unidos  
dc.description.fil
Fil: Trotta, Andrés. Universidad Nacional de Lanús; Argentina  
dc.description.fil
Fil: Yamada, Goro. Drexel University; Estados Unidos  
dc.description.fil
Fil: Braverman Bronstein, Ariela. Drexel University; Estados Unidos  
dc.description.fil
Fil: Friche, Amélia Augusta. Universidade Federal de Minas Gerais; Brasil  
dc.description.fil
Fil: Alazraqui, Marcio. Universidad Nacional de Lanús; Argentina  
dc.description.fil
Fil: Diez Roux, Ana Victoria. Drexel University; Estados Unidos  
dc.journal.title
SSM - Population Health  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S235282732200218X  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ssmph.2022.101239