Literature DB >> 22838104

Is there a socioeconomic gradient in the prevalence of gestational diabetes mellitus?

J Cullinan1, P Gillespie, L Owens, G Avalos, F P Dunne.   

Abstract

Previous studies have shown an association between Type 2 diabetes and lower socioeconomic status. This link is less clear in those with gestational diabetes mellitus (GDM). We test for a socioeconomic gradient in the prevalence of GDM by analysing data on 9,842 pregnant women who were offered testing for GDM in the Atlantic Diabetes in Pregnancy universal screening programme. A bivariate probit model relating GDM prevalence to socioeconomic status was estimated, controlling for variation in screening uptake rates across socioeconomic groups. The estimated increased prevalence of GDM is 8.6% [95% CI 2.7%-12.0%] for women in the lowest socioeconomic group when compared to the highest, suggesting a strong socioeconomic gradient in the prevalence of GDM. This gradient is found to be driven by differences in personal, clinical and lifestyle factors across socioeconomic groups.

Entities:  

Mesh:

Year:  2012        PMID: 22838104

Source DB:  PubMed          Journal:  Ir Med J        ISSN: 0332-3102


  7 in total

1.  Race and health profiles in the United States: an examination of the social gradient through the 2009 CHIS adult survey.

Authors:  A B Nguyen; R Moser; W-Y Chou
Journal:  Public Health       Date:  2014-11-25       Impact factor: 2.427

2.  Healthcare Experiences of Low-Income Women with Prior Gestational Diabetes.

Authors:  Reena Oza-Frank; Elizabeth Conrey; Jo Bouchard; Cynthia Shellhaas; Mary Beth Weber
Journal:  Matern Child Health J       Date:  2018-07

3.  PREVALENCE OF GESTATIONAL DIABETES IN THE SOUTHERN PART OF BOSNIA AND HERZEGOVINA.

Authors:  Vajdana Tomic; Marinko Misic; Ana Dugandzic Simic; Ana Boskovic; Tanja Kresic; Olivera Peric; Martina Orlovic; Ivana Culjak Blagojevic
Journal:  Mater Sociomed       Date:  2016-10-17

4.  High Prevalence of Gestational Diabetes Mellitus in Beijing: Effect of Maternal Birth Weight and Other Risk Factors.

Authors:  Wei-Wei Zhu; Hui-Xia Yang; Chen Wang; Ri-Na Su; Hui Feng; Anil Kapur
Journal:  Chin Med J (Engl)       Date:  2017-05-05       Impact factor: 2.628

5.  Temporal trends without seasonal effects on gestational diabetes incidence relate to reductions in indices of insulin secretion: the Cambridge Baby Growth Study.

Authors:  Clive J Petry; Benjamin G Fisher; Ken K Ong; Ieuan A Hughes; Carlo L Acerini; David B Dunger
Journal:  Acta Diabetol       Date:  2019-05-13       Impact factor: 4.280

6.  Comparison of birth certificates and hospital-based birth data on pregnancy complications in Los Angeles and Orange County, California.

Authors:  Nekisa Haghighat; Maogui Hu; Olivier Laurent; Judith Chung; Peter Nguyen; Jun Wu
Journal:  BMC Pregnancy Childbirth       Date:  2016-04-27       Impact factor: 3.007

7.  Risk Factors for Hyperglycaemia in Pregnancy in Tamil Nadu, India.

Authors:  Karoline Kragelund Nielsen; Peter Damm; Anil Kapur; Vijayam Balaji; Madhuri S Balaji; Veerasamy Seshiah; Ib C Bygbjerg
Journal:  PLoS One       Date:  2016-03-18       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.