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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Risk factors for early neonatal mortality

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Author(s):
Daniela Schoeps [1] ; Marcia Furquim de Almeida [2] ; Gizelton Pereira Alencar [3] ; Ivan França Jr. [4] ; Hillegonda Maria Dutilh Novaes [5] ; Arnaldo Augusto Franco de Siqueira [6] ; Oona Campbell [7] ; Laura Cunha Rodrigues [8]
Total Authors: 8
Affiliation:
[1] Universidade de São Paulo. Faculdade de Saúde Pública. Programa de Pós-Graduação - Brasil
[2] Universidade de São Paulo. Faculdade de Saúde Pública - Brasil
[3] Universidade de São Paulo. Faculdade de Saúde Pública. Programa de Pós-Graduação - Brasil
[4] Universidade de São Paulo. Faculdade de Saúde Pública - Brasil
[5] Universidade de São Paulo. Faculdade de Medicina - Brasil
[6] Universidade de São Paulo. Faculdade de Saúde Pública - Brasil
[7] London School of Hygiene and Tropical Medicine. Epidemiology Unit - Ucrânia
[8] London School of Hygiene and Tropical Medicine. Epidemiology Unit - Ucrânia
Total Affiliations: 8
Document type: Journal article
Source: Revista de Saúde Pública; v. 41, n. 6, p. 1013-1022, 2007-12-00.
Abstract

OBJECTIVE: To assess risk factors for early neonatal mortality. METHODS: A population-based case-control study was carried out with 146 early neonatal deaths and a sample of 313 controls obtained among survivals of the neonate period in the south region of the city of São Paulo, in the period of 8/1/2000 to 1/31/2001. Information was obtained through home interviews and hospital charts. Hierarchical assessment was performed in five groups with the following characteristics 1) socioeconomic conditions of mothers and families, 2) maternal psychosocial conditions, 3) obstetrical history and biological characteristics of mothers, 4) delivery conditions, 5) conditions of newborns RESULTS: Risk factors for early neonate mortality were: Group 1: poor education of household head (OR=1.6; 95% CI: 1.1;2.6), household located in a slum area (OR=2.0; 95% CI: 1.2;3.5) with up to one room (OR=2.2; 95% CI: 1.1;4.2); Group 2: mothers in recent union (OR=2.0; 95% CI: 1.0;4.2), unmarried mothers (OR=1.8; 95% CI: 1.1;3.0), and presence of domestic violence (OR=2.7; 95% CI: 1;6.5); Group 3: presence of complications in pregnancy (OR=8.2; 95% CI: 5.0;13.5), previous low birth weight (OR=2.4; 95% CI: 1.2;4.5), absence of pre-natal care (OR=16.1; 95% CI: 4.7;55.4), and inadequate pre-natal care (block 3) (OR=2.1; 95% CI: 2.0;3.5); Group 4: presence of clinical problems during delivery (OR=2.9; 95% CI: 1.4;5.1), mothers who went to hospital in ambulances (OR=3.8; 95% CI: 1.4;10.7); Group 5: low birth weight (OR=17.3; 95% CI: 8.4;35.6) and preterm live births (OR=8.8; 95% CI: 4.3;17.8). CONCLUSIONS: Additionally to proximal factors (low birth weight, preterm gestations, labor complications and unfavorable clinical conditions in gestation), the variables expressing social exclusion and presence of psychosocial factors were also identified. This context may affect the development of gestation and hinder the access of women to health services. Adequate prenatal care could minimize the effect of these variables. (AU)