Journal of pediatric urology · 2014
Risk factors, prevalence trend, and clustering of hypospadias cases in Puerto Rico.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
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Avilés Luis A, Alvelo-Maldonado Laureane, Padró-Mojica Irmari, Seguinot José, Jorge Juan Carlos
Аннотация
OBJECTIVE: The aim was to determine the distribution pattern of hypospadias cases across a well-defined geographic space.
MATERIALS AND METHODS: The dataset for this study was produced by the Birth Defects Prevention and Surveillance System of the Department of Health of Puerto Rico (BDSS-PR), which linked the information of male newborns of the Puerto Rico Birth Cohort dataset (PRBC; n=92,285) from 2007 to 2010. A population-based case-control study was conducted to determine prevalence trend and to estimate the potential effects of maternal age, paternal age, birth-related variables, and health insurance status on hypospadias. Two types of geographic information systems (GIS) methods (Anselin Local Moran's I and Getis-Ord G) were used to determine the spatial distribution of hypospadias prevalence.
RESULTS: Birthweight (<2500 g), age of mother (40+years), and private health insurance were associated with hypospadias as confirmed with univariate and multivariate analyses at 95% CI. A cluster of hypospadias cases was detected in the north-central region of Puerto Rico with both GIS methods (p≤0.05).
CONCLUSIONS: The clustering of hypospadias prevalence provides an opportunity to assess the underlying causes of the condition and their relationships with geographical space.
MATERIALS AND METHODS: The dataset for this study was produced by the Birth Defects Prevention and Surveillance System of the Department of Health of Puerto Rico (BDSS-PR), which linked the information of male newborns of the Puerto Rico Birth Cohort dataset (PRBC; n=92,285) from 2007 to 2010. A population-based case-control study was conducted to determine prevalence trend and to estimate the potential effects of maternal age, paternal age, birth-related variables, and health insurance status on hypospadias. Two types of geographic information systems (GIS) methods (Anselin Local Moran's I and Getis-Ord G) were used to determine the spatial distribution of hypospadias prevalence.
RESULTS: Birthweight (<2500 g), age of mother (40+years), and private health insurance were associated with hypospadias as confirmed with univariate and multivariate analyses at 95% CI. A cluster of hypospadias cases was detected in the north-central region of Puerto Rico with both GIS methods (p≤0.05).
CONCLUSIONS: The clustering of hypospadias prevalence provides an opportunity to assess the underlying causes of the condition and their relationships with geographical space.