Incidence and contributing factors of glucose intolerance in Saudi postpartum women: Subgroup analysis from RAHMA study

被引:6
|
作者
Wahabi, Hayfaa [1 ]
Fayed, Amel [2 ,3 ]
Tunkar, Safaa M. S. [4 ]
Bakhsh, Hanadi [2 ]
Al-Hazmi, Ali M. [4 ,5 ]
Esmaeil, Samia [1 ]
Siddiqui, Amna R. [4 ,6 ]
机构
[1] King Saud Univ, Coll Med, Chair Evidence Based Healthcare & Knowledge Trans, Riyadh, Saudi Arabia
[2] Princess Nourah Bint Abdulrahman Univ, Coll Med, Clin Dept, Riyadh, Saudi Arabia
[3] Alexandria Univ, High Inst Publ Hlth, Dept Biostat, Alexandria, Egypt
[4] King Saud Univ, Dept Family & Community Med, Coll Med, Riyadh, Saudi Arabia
[5] King Saud Univ, Coll Med, Prince Sattam Bin Abdul Aziz Res Chair Epidemiol, Riyadh, Saudi Arabia
[6] Aga Khan Univ, Dept Community Hlth Sci, Karachi, Pakistan
来源
PLOS ONE | 2019年 / 14卷 / 01期
关键词
TYPE-2; DIABETES-MELLITUS; CARDIOVASCULAR-DISEASE; RISK-FACTORS; FOLLOW-UP; PREVENTION; PREVALENCE; HYPERGLYCEMIA; PREDICTORS; PREGNANCY; ARABIA;
D O I
10.1371/journal.pone.0210024
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objectives The objectives of this study were to determine incidence and risk factors of glucose intolerance one year after delivery in a sub-cohort of Riyadh Mother and Baby Cohort Study (RAHMA) study. Methods This is a follow-up study of a sub-cohort from RAHMA study from King Khalid University Hospital (KKUH). All women from RAHMA database who completed one year since delivery at KKUH were contacted by phone to participate in the study. Previously collected data from RAHMA registry for each participant were linked to this study data. Clinical data measured for each participant included current weight and height to calculate the BMI and waist circumference. Blood tests done for each participant were fasting blood glucose (FPG) and HbA1c. Based on the blood tests results, participants were classified into three groups; diabetic, pre-diabetic and normal. The incidence of diabetes and prediabetes was calculated for the whole cohort. Clinical, biochemical, and sociodemographic predictors of glucose intolerance were compared between the three groups. Risk factors with P-value less than 0.05 were tested in multivariate regression model with bootstrapping to calculate the relative risk (RR) and its 95% Bias corrected Confidence Interval (C.I.) Results From the sub-cohort, 407 women fulfilled the inclusion criteria and agreed to participate in the study. From the study participants; 250 (61.4%) women were normoglycemic, 142 (35%) women had prediabetes and 15 (3.6%) women were diabetic. Following multivariable regression analysis only history of gestational diabetes mellitus (GDM), (RR 1.74, 95% CI (1.06 to 2.84), P = 0.01), obesity (RR 1.69, 95% CI (1.01-3.11), P = 0.04) and diastolic blood pressure, (RR 1.04, 95% CI (1.01-1.09), P = 0.03) remained as predictors of postpartum glucose intolerance. Conclusion The incidence of postpartum glucose intolerance (diabetes and prediabetes) is very high in Saudi women. Both GDM and obesity are strong predictors of glucose intolerance.
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页数:13
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