Use este identificador para citar ou linkar para este item: http://sgc.anlis.gob.ar/handle/123456789/2440
Título: Birth prevalence of congenital anomalies in Argentina, according to socioeconomic level
Autor(es): Bronberg, Rubén 
Groisman, Boris 
Bidondo, María Paz 
Barbero, Pablo 
Liascovich, Rosa 
Palavras-chave: Argentina;Anomalías Congénitas;Clase Social
Data do documento: Jul-2021
Jornal: Journal of community genetics 
Série/Relatório no.: J Community Genet;2021 Jul;12(3):345-355. doi: 10.1007/s12687-021-00516-5. Epub 2021 Mar 31.
Resumo: 
Birth prevalence of congenital anomalies (CA) in Argentina is estimated around 1.7%. CA are the second leading cause of infant mortality. Poverty and other adverse socioeconomic conditions have been associated with birth defects. To describe the prevalence at birth of CA, according to the two proxy variables of socioeconomic level: the health subsector of the hospital where the cases were born (PUB-public versus PRI-private or social security) and its geographical location. The design of the study was ecological using the data of the National Network of Congenital Anomalies of Argentina (RENAC); from October 2010 to December 2018. CA birth prevalence was estimated using the Poisson regression. We used a logistic regression model to analyze the association birth prevalence to health subsector and geographical region. A total of 2,202,994 births were examined in the study period, with a global CA prevalence of 1.69% (95% CI 1.68-1.71). The highest prevalence was observed in PUB hospitals when comparing to PRI hospitals at the country level and in all regions. There were differences in the prevalence of selected congenital anomalies with a statistically significant association to PUB (observed in anencephaly, encephalocele, hydrocephalus, microcephaly, holoprosencephaly, microtia/anotia, cleft lip and palate, postaxial polydactyly, talipes equinovarus, talipes calcaneovalgus, and gastroschisis). The prevalence of critical heart defects and chromosomal anomalies was significantly higher in PRI hospitals. Although this is an ecological study with no information on socioeconomic status at individual level, we found an association between CA frequency and selected CA with the PUB subsector. Vulnerable populations affected with CA require a greater effort from policy makers and health care providers to allocate more resources and design strategies to access to health.
URI: http://sgc.anlis.gob.ar/handle/123456789/2440
ISSN: 1868-310X
DOI: 10.1007/s12687-021-00516-5
Aparece nas Coleções:Publicaciones INE

Arquivos neste item:
Arquivo Descrição TamanhoFormato
JCG-12687_2021_Article_516.pdfArtículo en español494.6 kBAdobe PDFVer/Aberto
Mostrar registro completo do item

Visualização de página

46
Checado em 05/05/2024

Download(s)

5
Checado em 05/05/2024

Google ScholarTM

Checar

Altmetric

Altmetric


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.