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Analysis of routinely collected data: determining associations of maternal risk factors and infant outcomes with gestational diabetes, in Pakistani, Indian, Bangladeshi and white British pregnant women in Luton, England.

  • Open University Milton Keynes
    ,
  • Bedfordshire Hospitals NHS Foundation Trust
Research Output: Contribution to journal Article Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

This study aims to compare the prevalence of gestational diabetes in Indian, Pakistani, Bangladeshi and British women in Luton, England and further examine associations in maternal risk factors (age BMI, smoking status and birth outcome), with gestational diabetes, with maternal ethnicity. A retrospective analysis using routinely collected secondary data from Ciconia Maternity information System (CMiS), between 2008 and 2013. The ethnicity of women recorded as Indian, Pakistani, Bangladeshi and white British, residing in [removed] were included in the study. The outcomes for n=15,211 cases were analysed using adjusted standardised residuals, Pearson Chi-square, frequencies and percentages of women with gestational diabetes. = 43.1 df=4, p<0.001) and an early gestational age at delivery (24-37 weeks) (χ2= 4.084 df=1, p=0.043). There are important differences in the prevalence rates of gestational diabetes which varied by maternal ethnicity. Of the women who had GDM, 48.7% were Pakistani, compared with 28.3% Bangladeshi, 16.4% white British and 6.6% Indian. It is essential policy makers and service providers target GDM screening and associated interventions and future research seeks to understand the reasons behind these differences.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

Midwifery (Volume 94, Issue 102899)

Publication milestones

  • Accepted/In press - 21/11/2020
  • Published - 15/12/2020

Publication status

Published - 15/12/2020

ISSN

0266-6138

External Publication IDs

  • handle.net: 10547/624761
  • Scopus: 85099521718

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