(1) Background: Clinical practice guidelines recommend dietary and physical activity counselling for pregnant women with gestational diabetes (GDM). The aim of this study was to evaluate the extent to which a history of GDM and living with overweight before pregnancy modify dietary quality and physical activity during pregnancy. (2) Methods: The study is a cross-sectional study of 1034 pregnant women from different parts of Finland. The data were collected through electronic questionnaires. Dietary quality and physical activity were measured with stand-alone indices and compared according to the history of GDM and overweight status based on body mass index (BMI) category. (3) Results: Overall, 53% of the women had a poor dietary quality (Index of Diet Quality (IDQ) score <10) and 45% a light physical activity level. The IDQ score or physical activity levels did not differ between women with and without a history of GDM. Instead, in women with overweight/obesity both the IDQ score and physical activity levels were lower compared to their normal-weight counterparts (p < 0.001). (4) Conclusions: Pregnant women, particularly if living with overweight, commonly have a poor dietary quality and a light level of physical activity. A history of GDM is not reflected in the lifestyle habits, despite the assumption that they have received lifestyle counselling during a previous pregnancy. Pregnant women would benefit from new means to promote healthy lifestyle changes.

AbstractGestational diabetes (GDM) is a serious condition predisposing both the mother and child to health complications. Key means for treatment are lifestyle related, primarily adherence to a healthy diet and increase in physical activity. The aim of the study was to evaluate dietary quality and physical activity in early pregnancy of women reporting history of GDM compared to healthy women participating in a population-based study. Pregnant women were enrolled to the study by announcements in social media. The interested women (n = 1034) filled in an electronic questionnaire on their background data, validated Index of Diet Quality (IDQ) and index of leisure-time physical activity (MET-index) in early pregnancy. The protocol was approved by the Ethics Committee of the University of Turku, Finland. The study population characteristics were representative of the Finnish pregnant women as compared with values reported in national perinatal statistics, except for overrepresentation of primiparas (54% compared to 41%) and underrepresentation of smokers during pregnancy (2.2% compared to 13%). Of the multiparas, 18.3% reported having been diagnosed with GDM in a previous pregnancy, which is in accordance to that in the general population (19%). Having a history of GDM was not reflected in the dietary quality in the present pregnancy. The IDQ score of the women with history of GDM (adj. mean 9.5) did not differ from those with no history (adj. mean 9.3, NS). When evaluating the categorized values, 45.8% of the women with the history of GDM and 45.4% of those without had a good dietary quality (IDQ score 10 or above). Similarly, the MET-index of the women with history of GDM (4.8 hrs/wk) did not differ from that of the women with no history (4.8 hrs/wk). Also, the categorized MET-index did not differ between the groups. The physical activity level of the women with history of GDM was light in the majority (52%) of the women, moderate in 41% and vigorous in 7%. Despite the known risks that GDM induces to health of the pregnant women and their babies, the dietary quality and physical activity of the women with a history of GDM did not differ from that of the women who were not previously affected. The results indicate that new means are needed alongside with the traditional counselling practices to motivate healthy lifestyle changes in pregnant women, particularly those at risk for recurrent GDM.

Aims Deep metagenomics offers an advanced tool for examining the relationship between gut microbiota composition and function and the onset of disease; in this case, does the composition and function of gut microbiota during pregnancy differ in women who develop prediabetes and those who do not at two-year postpartum, and whether the gut microbiota composition associates with glycemic traits. Methods In total, 439 women were recruited in early pregnancy. Gut microbiota was assessed by metagenomics analysis in early (13.9 ± 2.0 gestational weeks) and late pregnancy (35.1 ± 1.0 gestational weeks). Prediabetes was determined using American Diabetes Association criteria as fasting plasma glucose 5.6–6.9 mmol/l analyzed by an enzymatic hexokinase method. Of the women, 39 (22.1%) developed prediabetes by two-year postpartum. Results The relative abundances of Escherichia unclassified (FDR < 0.05), Clostridiales bacterium 1_7_ 47FAA (FDR < 0.25) and Parabacteroides (FDR < 0.25) were higher, and those of Ruminococcaceae bacterium D16 (FDR < 0.25), Anaerotruncus unclassified (FDR < 0.25) and Ruminococcaceae noname (FDR < 0.25) were lower in early pregnancy in those women who later developed prediabetes. In late pregnancy, Porphyromonas was higher and Ruminococcus sp 5_1_39BFAA was lower in prediabetes (FDR < 0.25). Furthermore, fasting glucose concentrations associated inversely with Anaerotruncus unclassified in early pregnancy and directly with Ruminococcus sp 5_1_39BFAA in late pregnancy (FDR < 0.25). α-Diversity or β-diversity did not differ significantly between the groups. Predictions of community function during pregnancy were not associated with prediabetes. Conclusions Our study shows that some bacterial species during pregnancy contributed to the onset of prediabetes within two-year postpartum. These were attributable primarily to a lower abundance of short-chain fatty acids-producing bacteria.

Introduction Aberrations in circulating metabolites have been associated with diabetes and cardiovascular risk. Objectives To investigate if early and late pregnancy serum metabolomic profiles differ in women who develop prediabetes by two years postpartum compared to those who remain normoglycemic. Methods An NMR metabolomics platform was used to measure 228 serum metabolite variables from women with pre-pregnancy overweight in early and late pregnancy. Co-abundant groups of metabolites were compared between the women who were (n = 40) or were not (n = 138) prediabetic at two years postpartum. Random Forests classifiers, based on the metabolic profiles, were used to predict the prediabetes status, and correlations of the metabolites to glycemic traits (fasting glucose and insulin, HOMA2-IR and HbA1c) and hsCRP at postpartum were evaluated. Results Women with prediabetes had higher concentrations of small HDL particles, total lipids in small HDL, phospholipids in small HDL and free cholesterol in small HDL in early pregnancy (p = 0.029; adj with pre-pregnancy BMI p = 0.094). The small HDL related metabolites also correlated positively with markers of insulin resistance at postpartum. Similar associations were not detected for metabolites in late pregnancy. A Random Forests classifier based on serum metabolites and clinical variables in early pregnancy displayed an acceptable predictive power for the prediabetes status at postpartum (AUROC 0.668). Conclusion Elevated serum concentrations of small HDL particles in early pregnancy associate with prediabetes and insulin resistance at two years postpartum. The serum metabolic profile during pregnancy might be used to identify women at increased risk for type 2 diabetes.