Abstract
analyze the pattern of spatial distribution of the prevalence rate of births with congenital disorders and its relationship with social, economic, health care and environmental indicators in Paraná, Brazil, from 2008 to 2015. ecological study with variables extracted from secondary banks, related to the births of children of mothers residing in Paraná, in two quadrennial (2008-2011 and 2012-2015). The analysis of the rates was performed with univariate spatial (Moran) and multivariate approach (Ordinary Least Squares and Geographically Weighted Regression). the occurrence of congenital disorders presented a significant association (p<0.05) with: registration in primary care of pregnant women over 20 years of age; urbanization degree; consumption of pesticides; and balance of female formal employment. social, health care and environmental variables showed a non-stationary spatial pattern in the analyzed period and influenced positively and negatively the rates.
Highlights
According to the World Health Organization (WHO), the congenital disorder (CD) comprises any malformation found in the newborn, intrauterine or after birth, whether of a structural, functional or metabolic nature[1]
Comparing the quadrennial in study, 1stqd and 2ndqd, it was verified that the median of prevalence rate of births with congenital disorders (PRBCD) was 78.3 and 78.8/10,000 live births (LB), respectively, and the maximum PRBCD increased from 145/10,000 LB (1stqd) to 182/10,000 LB (2ndqd) (Figure 2)
In the global analysis of univariate Moran according to PRBCD, significant positive spatial autocorrelation was identified in the whole state, both for the 1stqd (I=0.6133; p
Summary
According to the World Health Organization (WHO), the congenital disorder (CD) comprises any malformation found in the newborn, intrauterine or after birth, whether of a structural, functional or metabolic nature[1]. CD affect 3% of live births (LB)(2) and become the leading cause of child deaths in developed countries such as the United States and Japan[3,4]. In Paraná, CD were the second leading cause of child deaths in the period from 2007 to 2016(6). International geospatial analysis studies identified spatial patterns of CD in Israel[8] and the association of CD with low birth weight in the USA[9]. In Brazil, only one study was identified, in Mato Grosso, with the purpose of identifying the spatial pattern of CD[12]. The analysis of the pattern of spatial distribution of the prevalence rate of births with CD in association with social, economic, health care and environmental indicators is an innovative approach in the Brazilian scenario
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