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BMC Pregnancy and Childbirth

, 13:210

Maternal health and pregnancy

Abstract

BackgroundSmall 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.

MethodsBirth 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 fractions PAFs were calculated for risk factors that were considered causative and potentially modifiable.

ResultsOf 28,126 SGA infants, the largest group was term infants of non-diabetic mothers 88.5%, followed by term infants of diabetic mothers 6.3% and preterm infants 5.3%. The highest PAFs were for smoking: 12.4% for preterm SGA and 10.3% for term SGA infants of non-diabetic mothers. Other risk factors for SGA that were considered modifiable included: illicit drug dependency or abuse in pregnancy in all three groups, and pregnancy hypertension and late commencement of antenatal care in term infants of non-diabetic mothers, but PAFs were less than 3%.

ConclusionsThere are opportunities for modest reduction of the prevalence of SGA through reduction in smoking in pregnancy, and possibly earlier commencement of antenatal care and improved management of high-risk pregnancies.

KeywordsSmall for gestational age Population attributable fraction Record linkage Electronic supplementary materialThe online version of this article doi:10.1186-1471-2393-13-210 contains supplementary material, which is available to authorized users.

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Autor: Lee K Taylor - Yuen Yi Cathy Lee - Kim Lim - Judy M Simpson - Christine L Roberts - Jonathan Morris

Fuente: https://link.springer.com/







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