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- Title
Previous History of Gestational Diabetes Mellitus and the Risk of Early Onset Subclinical Atherosclerosis.
- Authors
Fakhrzadeh, Hossein; Alatab, Sudabeh; Sharifi, Farshad; Ghanaati, Hossein; Mirarefin, Mojde; Badamchizadeh, Zohreh; Mostashfi, Ali; Hosein-nezhad, Arash; Larijani, Bagher
- Abstract
Background: Women with history of gestational diabetes mellitus (GDM) are at higher risk for developing type 2 diabetes mellitus and metabolic syndrome. The aim of the present study was to investigate whether this population of women also are at increased risk for early subclinical atherosclerosis. Methods: Twenty women with previous history of GDM and 20 unaffected women were recruited in the study. Two groups were matched based on their age, BMI and parity. The maximum duration from affected pregnancy was set at 5 years. The carotid intimal-medial thickness (CIMT), multiple cardiovascular risk factors along with fasting blood levels of glucose, insulin, total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides, vitamin B12 and folic acid were measured in two groups. Results: The mean fasting blood glucose (p=0.03) and insulin (p=0.03) levels were significantly higher in women with pGDM compared to the control group. Women with pGDM were presented with significantly higher levels of CIMT than control group (0.510 mm vs. 0.478 mm, p=0.037). CIMT positively correlated with fasting insulin (r=0.376, p=0.02). Conclusion: Women with pGDM are at increased risk for premature atherosclerosis. This might be due to the persistence of disturbance in glucose homeostasis after delivery in this group of women.
- Subjects
IRAN; ATHEROSCLEROSIS risk factors; ANALYSIS of variance; ANTHROPOMETRY; BLOOD sugar; CARDIOVASCULAR diseases risk factors; CAROTID artery; GESTATIONAL diabetes; ENZYME-linked immunosorbent assay; FOLIC acid; HIGH performance liquid chromatography; INSULIN; LIPIDS; MULTIVARIATE analysis; REGRESSION analysis; RESEARCH funding; STATISTICS; T-test (Statistics); VITAMIN B12; DATA analysis software; DESCRIPTIVE statistics; DISEASE complications
- Publication
Iranian Journal of Diabetes & Lipid Disorders, 2011, Vol 10, p1
- ISSN
1726-7544
- Publication type
Article