Objective: 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.
Design: 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.
Results: The prevalence of gestational diabetes was significantly higher in the sample of Bangladeshi (2.1%) and Pakistani (1.4%) compared to Indian (1%) and white British (0.4%) women. Of the women diagnosed with gestational diabetes, 48.7% of the women diagnosed with gestational diabetes in this cohort were Pakistani, compared with 28.3% of Bangladeshi, 6.6% of Indian and 16.4% of white British (χ2= 84.57 df=6, p<0.001). A number of significant Pearson Chi-square associations were found between Pakistani women diagnosed with gestational diabetes and BMI over 30kg/m (χ= 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).
Conclusions: 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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.midw.2020.102899 | DOI Listing |
Gene
January 2025
Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, China. Electronic address:
Aim: This study aims to investigate the association of the genetic variations in IGF2BP2 and CAPN10 as well as gene-environment interactions with the risk of gestational diabetes (GDM) in Chinese women.
Materials And Methods: A total of 1,566 pregnant Chinese women participated in this case-control study. We employed targeted next-generation sequencing to analyze specific SNPs in IGF2BP2 (rs11927381, rs1470579, rs4402960, rs7640539) and CAPN10/rs2975760.
J Pediatr Adolesc Gynecol
January 2025
Department of Pediatrics, West Virginia University School of Medicine, Morgantown, West Virginia, 26506.
Study Objective: Despite falling teen birth rates in the United States, there is a disproportionate burden of teen births in rural regions. The study aims to investigate the characteristics of teenage mothers and examine the relationships between teen birth and adverse birth outcomes in the rural Appalachian state of West Virginia (WV).
Methods: Data was obtained from a population-based cohort (Project WATCH) of all singleton live births in WV between May 2018 and April 2023.
Hum Exp Toxicol
January 2025
Department of Gynecology and Obstetrics, Fuyong People's Hospital, Shenzhen, China.
Gestational diabetes mellitus (GDM) is a metabolic disorder that arises during pregnancy and heightens the risk of placental dysplasia. Ginsenoside Re (Re) may stabilize insulin and glucagon to regulate glucose levels, which may improve diabetes-associated diseases. This study aims to investigate the mechanism of Re in high glucose (HG)-induced apoptosis of trophoblasts through endoplasmic reticulum stress (ERS)-related protein CHOP/GADD153.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Laboratory Medicine, The Women's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Objective: The process of glycolysis from blood collection to centrifugation impacts the diagnosis of gestational diabetes mellitus (GDM). However, the specific characteristics of the working environment in China and its influence on GDM diagnosis still need to be clarified.
Methods: Firstly, 15 pregnant women were recruited, and six specimens were collected from each in a fasting state.
J Diabetes Investig
January 2025
Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Aims: This study investigated the association between maternal age and early and late gestational diabetes mellitus (GDM).
Methods: In total, 72,270 pregnant women were included in this prospective birth cohort study. Associations between maternal age and early GDM (diagnosed at <24 gestational weeks) and late GDM (diagnosed at ≥24 gestational weeks) were evaluated using a multinomial logistic regression model with possible confounding factors.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!