Objectives: To determine if Jamaican women of African descent with a family history of early onset autosomal dominant type 2 diabetes have greater odds of developing gestational diabetes mellitus (GDM) than those without a family history of the disease.

Methods: A comparative study was conducted of two groups of pregnant Jamaican women: the first with a family history of early onset autosomal dominant type 2 diabetes; the second with no history of the disease. Incidence, odds for developing GDM, and metabolic profiles in first and second trimesters were assessed using SPSS 11.5 (SPSS Inc., Chicago, Illinois, United States).

Results: The incidence of GDM was 12.0% in women with a family history of early onset autosomal dominant type 2 diabetes and 1.5% in women without a family history of the disease (P<0.05). Women with a family history were nine times more likely to develop GDM than those without a family history of diabetes (95% confidence interval: 5.00-16.38, P<0.0001).

Conclusion: Family history of early onset autosomal dominant type 2 diabetes appears to increase susceptibility to GDM in Jamaican women. Pregnant women of any age with family history of early onset autosomal type 2 diabetes should be screened for GDM.

Download full-text PDF

Source
http://dx.doi.org/10.1590/s1020-49892008000200003DOI Listing

Publication Analysis

Top Keywords

family history
24
women family
16
autosomal dominant
16
dominant type
16
type diabetes
16
jamaican women
12
history early
12
early onset
12
onset autosomal
12
gestational diabetes
8

Similar Publications

Introduction: This study aims to explore the risk factors in the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).

Material And Methods: Relevant studies were comprehensively searched from PubMed, Web of Science, Cochrane Library, and Embase up to March 12. Data extraction was performed.

View Article and Find Full Text PDF

Identifying the factors affecting quality of life among brucellosis patients in Herat, Afghanistan: a case-control study.

Infect Ecol Epidemiol

January 2025

Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.

Brucellosis remains a significant public health concern, especially in regions like the Mediterranean and Afghanistan. While its direct health effects are well-documented, its impact on quality of life is less explored. This study investigated the risk factors and quality of life effects of brucellosis in Herat, Afghanistan.

View Article and Find Full Text PDF

Background: Lung cancer screening recommendations employ annual frequency for eligible individuals, despite evidence that it may not be universally optimal. The impact of imposing a structure on the screening frequency remains unknown. The ENGAGE framework, a validated framework that offers fully dynamic, analytically optimal, personalised lung cancer screening recommendations, could be used to assess the impact of screening structure on the effectiveness and efficiency of lung cancer screening.

View Article and Find Full Text PDF

Kobuviruses (family , genus ) are enteric viruses that infect a wide range of both human and animal hosts. Much of the evolutionary history of kobuviruses remains elusive, largely due to limited screening in wildlife. Bats have been implicated as major sources of virulent zoonoses, including coronaviruses, henipaviruses, and filoviruses, though much of the bat virome still remains uncharacterized.

View Article and Find Full Text PDF

Objective: We conducted this study to investigate the relationship between serum uric acid (SUA) levels and the risk of upper gastrointestinal cancer.

Methods: We conducted a prospective cohort study with 475659 cancer-free participants from the UK Biobank. All subjects were grouped into quartiles, and we used a Cox proportional hazards model to analyze the association between SUA levels and the risk of upper gastrointestinal cancer and explore the potential sex-specific relationship.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!