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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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 |
work_keys_str_mv |
AT deborahdonoghue influencesonthedegreeofpretermbirthinnewsouthwales AT douglaslincoln influencesonthedegreeofpretermbirthinnewsouthwales AT geoffreymorgan influencesonthedegreeofpretermbirthinnewsouthwales AT johnbeard influencesonthedegreeofpretermbirthinnewsouthwales |
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