Browsing by Subject "RADIEL"

Sort by: Order: Results:

Now showing items 1-2 of 2
  • Huvinen, Emilia; Eriksson, Johan G.; Stach-Lempinen, Beata; Tiitinen, Aila; Koivusalo, Saila B. (2018)
    AimsGestational diabetes (GDM) affects a growing number of women and identification of individuals at risk, e.g., with risk prediction models, would be important. However, the performance of GDM risk scores has not been optimal. Here, we assess the impact of GDM heterogeneity on the performance of two top-rated GDM risk scores.MethodsThis is a substudy of the RADIEL triala lifestyle intervention study including women at high GDM risk. We assessed the GDM risk score by Teede and that developed by Van Leeuwen in our high-risk cohort of 510 women. To investigate the heterogeneity of GDM, we further divided the women according to GDM history, BMI, and parity. With the goal of identifying novel predictors of GDM, we further analyzed 319 women with normal glucose tolerance in the first trimester.ResultsBoth risk scores underestimated GDM incidence in our high-risk cohort. Among women with a BMI30kg/m(2) and/or previous GDM, 49.4% developed GDM and 37.4% received the diagnosis already in the first trimester. Van Leeuwen score estimated a 19% probability of GDM and Teede succeeded in risk identification in 61%. The lowest performance of the risk scores was seen among the non-obese women. Fasting plasma glucose, HbA(1c), and family history of diabetes were predictors of GDM in the total study population. Analysis of subgroups did not provide any further information.ConclusionsOur findings suggest that the marked heterogeneity of GDM challenges the development of risk scores for detection of GDM.
  • Gothóni, Mia (Helsingin yliopisto, 2017)
    Introduction: The incidence of gestational diabetes (GDM) is rising in the Western world along with the increment in young women’s overweight and obesity rates. GDM poses short- and long-term threats to the health of both mother and child, which in turn might add to the economical burden and cause human suffering. Lifestyle counseling and nutritional management are key to managing adverse outcomes in both the woman with GDM and her unborn child. Objective: The aim of this thesis is to study whether the intake of energy, energy nutrients, and fiber change after the diagnosis of GDM. The changes in intakes of energy, energy nutrients, and fiber are compared between women with GDM and women with normal glucose tolerance. In addition, the changes in energy nutrients and fiber in different food sources are studied and compared between groups. Materials and methods: The study was conducted based on data from the control group in The Finnish gestational diabetes prevention study (RADIEL). RADIEL is a prospective, randomized, controlled intervention that was carried out in 2008–2014, and in which women at high risk of GDM pregnant in the first half of pregnancy or planning pregnancy were enrolled. The control group received usual care at antenatal clinics. The data was collected before the initiation of this thesis. Study participants with 3-day food record data from both the first and the third trimester of pregnancy were eligible for this study (n=111). GDM was diagnosed by a 75 g oral glucose tolerance test in 22 of the participants in 22–28 weeks of gestation. Of the participants, 89 remained healthy by their glucose metabolism. The differences between women with GDM and women with normal glucose tolerance were tested using a t-test for normally distributed variables, and Mann-Whitney U test, χ2 test or Fisher’s exact test for non-normally distributed variables. Analysis of covariance was used to test the differences in change in intake of energy, energy nutrients, and fiber between the first and third trimester. GDM, previous GDM, age, body mass index (BMI), education in years, and the intake of the nutrient at baseline (first trimester) were used as covariates. Results: The women with GDM had significantly lower prepregnancy BMI (p=0.025) and a history of GDM (p=0.011) was more common among them compared to women with normal glucose tolerance. Moreover, at baseline, their fasting insulin (p=0.033) and HOMA-IR (p=0.041) were lower and their HbA1c (p=0.038) higher than that of the women with normal glucose tolerance. The intake of energy, and energy nutrients and fiber in relation to energy did not differ between groups (p>0.05). However, as compaired to women with normal glucose tolerance, women with GDM reduced their intake of carbohydrates (adj. p=0.002) and sucrose (adj. p=0.002), and increased their intake of fat (adj. p=0.037) and fiber (adj. p=0.002) in relation to energy from the first trimester to the third. In food sources, the only difference between groups regarded the change of fiber (p=0.049) in relation to the total intake of fiber; this was seen in the food source of bread and flour, in which the proportion of fiber increased in women with GDM. Conclusions: The dietary intake changes significantly differently between women with GDM and women with normal glucose tolerance in regards of carbohydrate, fat, sucrose, and fiber. In women with GDM, the changes in beforementioned nutrients are in line with the Current Care Guidelines of GDM, with the exception of fiber that still changes towards the guidelines. The proportion of fiber changes differently between groups in the food source of bread and flour. Nutrition management of GDM should focus more on the importance of fiber and the composition of fatty acids in the diet, but it should also focus on increasing the proportion of protein to optimize the intake of carbohydrates and fat. The fact that women with GDM in this study had a relatively low energy intake from carbohydrates and a high energy intake from fat, raises the possible need to study how this affects the blood glucose and body composition of the child.