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Query: UMLS:C0728731 (prematurity)
 7,134 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

In order to identify risk factors for infant mortality (< 1 year of age) in Salvador, Bahia State, Brazil, by means of data bank linkage, a case-control study was performed, selecting individuals from the Mortality Information System (SIM; 2000 and 2001) and the Information System on Live Births (SINASC; 2000). The database linkage or data-sharing technique was used, with the Access 2000 software, version 9.0. Independent variables were collected from the SINASC database. The association between potential risk factors and infant death was evaluated by logistic regression. Prematurity, maternal occupation as a domestic servant, housewife, or student, delivery in public health services, insufficient number of prenatal visits, and low birth weight were predictors of infant death. Linkage revealed missing and incomplete data. Only 40.9% of data were recorded electronically. Despite these limitations, data linkage allowed better use of the two systems and the identification of critical points to further improve their quality.
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PMID:[Investigation of risk factors for infant mortality by linking health databases]. 1900 39

This study aimed to identify differences in risk factors for infant mortality in five cities, one from each region of Brazil. This was a case-control study with cases defined as deaths in infants less than one year of age in the Mortality Information System (SIM) and Information System on Live Births (SINASC) and controls as live born infants recorded in the SINASC database and who had not died in the first year. Risk factors were estimated by univariate and multivariate analysis, using hierarchical logistic models. The main determinants of infant mortality were biological factors (low Apgar score, low birth weight, prematurity, and congenital malformations) mediated by socioeconomic factors (education, marital status, and race/color) and prenatal care conditions (prenatal visits). Despite agreement on the determinants of infant mortality among the five cities, some regional differences were observed, expressing infant mortality associated with inequalities in socioeconomic conditions and access to health services.
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PMID:[Differences in risk factors for infant mortality in five Brazilian cities: a case-control study based on the Mortality Information System and Information System on Live Births]. 2314 58