Fatores de risco para mortalidade neonatal em Blumenau, Santa Catarina: linkage entre bancos de dados

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

OBJETIVOS: investigar os fatores de risco para a mortalidade neonatal no município de Blumenau, Santa Catarina, empregando como possíveis fatores de risco as variáveis apresentadas nas "Declarações de Nascidos Vivos". MÉTODOS: trata-se de um estudo de coorte com apresentação de 3812 nascidos vivos, entre os quais ocorreram 26 óbitos neonatais. Os fatores de risco foram estimados utilizando a regressão logística. RESULTADOS: no modelo final apresentaram associação significativa com o óbito no período neonatal os nascidos com peso menor que 2500 gramas (OR=4,70 IC95%: 1,31-16,87); menor que 36 semanas (OR=4,16; IC95%: 1,22-14,20); Apgar no 5° minuto menor que oito (OR=62,38; IC95%: 22,31-174,39) e presença de anomalia (OR=63,19: IC95%: 15,17-263,15). As variáveis socioeconômicas, médico-assistenciais e de serviços de saúde não apresentaram associação significativa, estando confundidas com os fatores de risco biológicos. CONCLUSÕES: os dados mostram a importância de identificação dos principais fatores de risco de óbito para período neonatal, reafirmando a influência dos fatores biológicos fortemente relacionados ao componente neonatal da mortalidade infantil.

Translated abstract

OBJECTIVES: to determine neonatal mortality risk factors in the city of Blumenau, Santa Catarina using the variables reports in the Born Alive Forms. METHODS: this is a cohort study comprised of 3812 born alive children among which 26 neonatal deaths occurred. Risk factors were assessed through logistic regression. RESULTS: the final model disclosed significant association with neonatal for: newborns with birthweight under 2500 grams (OR=4.70; IC95%: 1.31-16.87); pregnancy term under 36 weeks (OR=4.16; IC95% 1.22-14.20); APGAR in the fifth minute following birth below eight (OR=62.38; IC95%: 22.31-174.39) and presence of anomaly (OR=63.19; IC95%: 15.17-263.15). Social and economic, medical and assistance and healthcare services did not show any significant association and couldn't be set apart from biological risk factors. CONCLUSIONS: data indicate the value of identifying principal risk factors for neonatal deaths, confirming the influence of biological factors strongly related to neonatal infantile mortality causes.

Related collections

Most cited references 31

Record: found
Abstract: found
Article: not found

Explaining trends in inequities: evidence from Brazilian child health studies.

C Victora, J Vaughan, F. Barros … (2000)

There is considerable international concern that child-health inequities seem to be getting worse between and within richer and poorer countries. The "inverse equity hypothesis" is proposed to explain how such health inequities may get worse, remain the same, or improve over time. We postulate that as new public-health interventions and programmes initially reach those of higher socioeconomic status and only later affect the poor, there are early increases in inequity ratios for coverage, morbidity, and mortality indicators. Inequities only improve later when the rich have achieved new minimum achievable levels for morbidity and mortality and the poor gain greater access to the interventions. The hypothesis was examined using three epidemiological data sets for time trends in child-health inequities within Brazil. Time trends for inequity ratios for morbidity and mortality, which were consistent with the hypothesis, showed both improvements and deterioration over time, despite the indicators showing absolute improvements in health status between rich and poor.