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ABSTRACT: Background
Small for gestational age (SGA) infants are at increased risk of morbidity and mortality. We sought to identify risk factors associated with SGA and examined the potential for reducing the proportion of infants with SGA at a population level.Methods
Birth and hospital records were linked for births occurring in 2007-2010 in New South Wales, Australia. The analysis was stratified into three groups: preterm births, term births to non-diabetic mothers and term births to diabetic mothers. Logistic regression was used to examine the association between SGA and a range of socio-demographic and behavioural factors and health conditions, with generalised estimating equations to account for correlation among births to the same mother. Model-based population attributable f
SUBMITTER: Taylor LK
PROVIDER: S-EPMC3835866 | biostudies-literature | 2013 Nov
REPOSITORIES: biostudies-literature