Quantifying the impact of deprivation on preterm births : a retrospective cohort study

Taylor-Robinson, David and Agarwal, Umber and Diggle, Peter J. and Platt, Mary Jane and Yoxall, Bill and Alfirevic, Zarko (2011) Quantifying the impact of deprivation on preterm births : a retrospective cohort study. PLoS ONE, 6 (8): e23163. -.

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Abstract

Background: Social deprivation is associated with higher rates of preterm birth and subsequent infant mortality. Our objective was to identify risk factors for preterm birth in the UK's largest maternity unit, with a particular focus on social deprivation, and related factors. Methodology/Principal Findings: Retrospective cohort study of 39,873 women in Liverpool, UK, from 2002-2008. Singleton pregnancies were stratified into uncomplicated low risk pregnancies and a high risk group complicated by medical problems. Multiple logistic regression, and generalized additive models were used to explore the effect of covariates including area deprivation, smoking status, BMI, parity and ethnicity on the risk of preterm birth (34(+0) weeks). In the low risk group, preterm birth rates increased with deprivation, reaching 1.6% (CI95 1.4 to 1.8) in the most deprived quintile; the unadjusted odds ratio comparing an individual in the most deprived quintile, to one in the least deprived quintile was 1.5 (CI95 1.2 to 1.9). Being underweight and smoking were both independently associated with preterm birth in the low risk group, and adjusting for these factors explained the association between deprivation and preterm birth. Preterm birth was five times more likely in the high risk group (RR 4.8 CI95 4.3 to 5.4), and there was no significant relationship with deprivation. Conclusions: Deprivation has significant impact on preterm birth rates in low risk women. The relationship between low socio-economic status and preterm births appears to be related to low maternal weight and smoking in more deprived groups.

Item Type:
Journal Article
Journal or Publication Title:
PLoS ONE
Additional Information:
© 2011 Taylor-Robinson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Uncontrolled Keywords:
/dk/atira/pure/core/keywords/medicalresearch/healthinformationcomputationandstatistics
Subjects:
?? socioeconomic inequalitiesmortalityoutcomespovertyhealthriskhealth information, computation and statisticsgeneral agricultural and biological sciencesgeneral biochemistry,genetics and molecular biologygeneral medicineagricultural and biological sciences(a ??
ID Code:
51905
Deposited By:
Deposited On:
08 Dec 2011 11:42
Refereed?:
Yes
Published?:
Published
Last Modified:
18 Oct 2024 23:42