Influences on the degree of preterm birth in New South Wales

Abstract Objective: To identify risk factors for preterm birth and determine if these vary by degree of prematurity. Methods: We used data from the state‐wide mandatory surveillance system for all births in New South Wales, limiting analysis to the 836,292 live born, singleton infants without known...

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Main Authors: Deborah Donoghue, Douglas Lincoln, Geoffrey Morgan, John Beard
Format: Article
Language:English
Published: Wiley 2013-12-01
Series:Australian and New Zealand Journal of Public Health
Subjects:
Online Access:https://doi.org/10.1111/1753-6405.12132
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spelling doaj-36e17600c3dd46c8bc52d421fcad06932020-11-25T01:39:52ZengWileyAustralian and New Zealand Journal of Public Health1326-02001753-64052013-12-0137656256710.1111/1753-6405.12132Influences on the degree of preterm birth in New South WalesDeborah Donoghue0Douglas Lincoln1Geoffrey Morgan2John Beard3University Centre for Rural Health University of Sydney New South WalesBureau of Health Information Ministry of Health New South WalesUniversity Centre for Rural Health, North Coast, University of Sydney, New South Wales; North Coast Local Health Network Ministry of Health New South WalesSchool of Public Health University of Sydney New South WalesAbstract Objective: To identify risk factors for preterm birth and determine if these vary by degree of prematurity. Methods: We used data from the state‐wide mandatory surveillance system for all births in New South Wales, limiting analysis to the 836,292 live born, singleton infants without known birth anomaly born from 1994 to 2004 inclusive. Our main outcome measure was gestational age stratified into the clinically relevant groups of: ‘term’ (37–42 completed weeks gestation); ‘mildly preterm’ (33–36 weeks); ‘very preterm’ (29–32 weeks); and ‘extremely preterm’ (23–28 weeks). Analysis was by multivariate modelling using a generalised estimating equations model and confidence intervals adjusted to account for the multiple comparisons. Results: Increasing socioeconomic disadvantage was associated with increasing risk of having a preterm baby. This association strengthened with increasing degree of preterm birth, (adjusted Odds Ratio for mothers from the most disadvantaged areas having an ‘extremely preterm’ baby = 1.45 [99.67% CI 1.21–1.75] compared to least disadvantaged areas). Mothers who were older, who smoked, were Aboriginal, or had pre‐existing diabetes, hypertension, or pre‐eclampsia were independently more likely to have a preterm baby. First‐time mothers were more likely to have their baby at term. Conclusions and implications: While risk factors for preterm birth such as pre‐existing medical conditions are treatable, reducing the substantial effects of socioeconomic factors on preterm birth presents the greatest potential for change. Our data shows that tackling wider social issues will be necessary to assist in reducing the rising preterm birth rate.https://doi.org/10.1111/1753-6405.12132newborn infantpremature infantsocial classpregnancycomplications
collection DOAJ
language English
format Article
sources DOAJ
author Deborah Donoghue
Douglas Lincoln
Geoffrey Morgan
John Beard
spellingShingle Deborah Donoghue
Douglas Lincoln
Geoffrey Morgan
John Beard
Influences on the degree of preterm birth in New South Wales
Australian and New Zealand Journal of Public Health
newborn infant
premature infant
social class
pregnancy
complications
author_facet Deborah Donoghue
Douglas Lincoln
Geoffrey Morgan
John Beard
author_sort Deborah Donoghue
title Influences on the degree of preterm birth in New South Wales
title_short Influences on the degree of preterm birth in New South Wales
title_full Influences on the degree of preterm birth in New South Wales
title_fullStr Influences on the degree of preterm birth in New South Wales
title_full_unstemmed Influences on the degree of preterm birth in New South Wales
title_sort influences on the degree of preterm birth in new south wales
publisher Wiley
series Australian and New Zealand Journal of Public Health
issn 1326-0200
1753-6405
publishDate 2013-12-01
description Abstract Objective: To identify risk factors for preterm birth and determine if these vary by degree of prematurity. Methods: We used data from the state‐wide mandatory surveillance system for all births in New South Wales, limiting analysis to the 836,292 live born, singleton infants without known birth anomaly born from 1994 to 2004 inclusive. Our main outcome measure was gestational age stratified into the clinically relevant groups of: ‘term’ (37–42 completed weeks gestation); ‘mildly preterm’ (33–36 weeks); ‘very preterm’ (29–32 weeks); and ‘extremely preterm’ (23–28 weeks). Analysis was by multivariate modelling using a generalised estimating equations model and confidence intervals adjusted to account for the multiple comparisons. Results: Increasing socioeconomic disadvantage was associated with increasing risk of having a preterm baby. This association strengthened with increasing degree of preterm birth, (adjusted Odds Ratio for mothers from the most disadvantaged areas having an ‘extremely preterm’ baby = 1.45 [99.67% CI 1.21–1.75] compared to least disadvantaged areas). Mothers who were older, who smoked, were Aboriginal, or had pre‐existing diabetes, hypertension, or pre‐eclampsia were independently more likely to have a preterm baby. First‐time mothers were more likely to have their baby at term. Conclusions and implications: While risk factors for preterm birth such as pre‐existing medical conditions are treatable, reducing the substantial effects of socioeconomic factors on preterm birth presents the greatest potential for change. Our data shows that tackling wider social issues will be necessary to assist in reducing the rising preterm birth rate.
topic newborn infant
premature infant
social class
pregnancy
complications
url https://doi.org/10.1111/1753-6405.12132
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AT geoffreymorgan influencesonthedegreeofpretermbirthinnewsouthwales
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