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Potential prevention of small for gestational age in Australia: a population-based linkage study
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 link...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835866/ https://www.ncbi.nlm.nih.gov/pubmed/24246011 http://dx.doi.org/10.1186/1471-2393-13-210 |
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author | Taylor, Lee K Lee, Yuen Yi Cathy Lim, Kim Simpson, Judy M Roberts, Christine L Morris, Jonathan |
author_facet | Taylor, Lee K Lee, Yuen Yi Cathy Lim, Kim Simpson, Judy M Roberts, Christine L Morris, Jonathan |
author_sort | Taylor, Lee K |
collection | PubMed |
description | 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 fractions (PAFs) were calculated for risk factors that were considered causative and potentially modifiable. RESULTS: Of 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%. CONCLUSIONS: There 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. |
format | Online Article Text |
id | pubmed-3835866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38358662013-11-21 Potential prevention of small for gestational age in Australia: a population-based linkage study Taylor, Lee K Lee, Yuen Yi Cathy Lim, Kim Simpson, Judy M Roberts, Christine L Morris, Jonathan BMC Pregnancy Childbirth Research Article 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 fractions (PAFs) were calculated for risk factors that were considered causative and potentially modifiable. RESULTS: Of 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%. CONCLUSIONS: There 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. BioMed Central 2013-11-19 /pmc/articles/PMC3835866/ /pubmed/24246011 http://dx.doi.org/10.1186/1471-2393-13-210 Text en Copyright © 2013 Taylor et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Taylor, Lee K Lee, Yuen Yi Cathy Lim, Kim Simpson, Judy M Roberts, Christine L Morris, Jonathan Potential prevention of small for gestational age in Australia: a population-based linkage study |
title | Potential prevention of small for gestational age in Australia: a population-based linkage study |
title_full | Potential prevention of small for gestational age in Australia: a population-based linkage study |
title_fullStr | Potential prevention of small for gestational age in Australia: a population-based linkage study |
title_full_unstemmed | Potential prevention of small for gestational age in Australia: a population-based linkage study |
title_short | Potential prevention of small for gestational age in Australia: a population-based linkage study |
title_sort | potential prevention of small for gestational age in australia: a population-based linkage study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835866/ https://www.ncbi.nlm.nih.gov/pubmed/24246011 http://dx.doi.org/10.1186/1471-2393-13-210 |
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