The early life theory states that the first 1000 days of a person’s life are highly influential, as lasting health impacts can be attained during this period

Gestational Diabetes Mellitus (GDM) is a growing epidemic affecting pregnant women and their offspring. This study aimed to identify the relationship between adherence to a Mediterranean diet (MD) before conception and the risk of GDM in a contemporary Greek pregnant cohort. A prospective cohort of pregnant women was recruited at the routine first trimester visit. Nutritional intake was evaluated using a population specific validated food frequency questionnaire (FFQ). Pre-pregnancy adherence to MD was derived using two different scoring systems, the Mediterranean diet index score (MDS), and a modified version. Adjusted odds ratios (aOR) were computed using multiple logistic regression models for each score derived. Of 743 participating women, 112 (15.1%) developed GDM. The MDS index showed that scoring 5–9 points (high adherence) was associated with a lower GDM incidence (aOR: 0.57 95% CI (0.32, 0.90), p = 0.02), while the modified MDS index showed no significant association for any level of adherence. Pre-pregnancy consumption of “meat and derivatives” and “fatty meat and processed meat” was associated with a higher risk of GDM, with both scoring systems (p = 0.008, p = 0.004, respectively). A higher adherence to a MD pre-pregnancy, especially with less meat consumption, may have a protective effect on the occurrence of GDM.

Gestational diabetes mellitus (GDM) is a significant health concern with adverse outcomes for both pregnant women and their offspring. Recognizing the need for early intervention, this study aimed to develop an early prediction model for GDM risk assessment during the first trimester. Utilizing a prospective cohort of 4917 pregnant women from the Third Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, Greece, the study sought to combine maternal characteristics, obstetric and medical history, and early pregnancy-specific biomarker concentrations into a predictive tool. The primary objective was to create a series of predictive models that could accurately identify women at high risk for developing GDM, thereby facilitating early and targeted interventions. To this end, maternal age, body mass index (BMI), obstetric and medical history, and biomarker concentrations were analyzed and incorporated into five distinct prediction models. The study’s findings revealed that the models varied in effectiveness, with the most comprehensive model combining maternal characteristics, obstetric and medical history, and biomarkers showing the highest potential for early GDM prediction. The current research provides a foundation for future studies to refine and expand upon the predictive models, aiming for even earlier and more accurate detection methods.

Introduction The Mediterranean diet (MD) is a traditional regional dietary pattern and a healthy diet recommended for the primary and secondary prevention of various diseases and health conditions. Results from the higher level of primary evidence, namely randomised controlled trials (RCTs), are often used to produce dietary recommendations; however, the robustness of RCTs with MD interventions is unknown. Methods A systematic search was conducted and all MD RCTs with dichotomous primary outcomes were extracted from PubMed. The fragility (FI) and the reverse fragility index (RFI) were calculated for the trials with significant and non-significant comparisons, respectively. Results Out of 27 RCTs of parallel design, the majority failed to present a significant primary outcome, exhibiting an FI equal to 0. The median FI of the significant comparisons was 5, ranging between 1 and 39. More than half of the comparisons had an FI <5, indicating that the addition of 1–4 events to the treatment arm eliminated the statistical significance. For the comparisons with an FI=0, the RFI ranged between 1 and 29 (Median RFI: 7). When the included RCTs were stratified according to masking, the use of a composite primary endpoint, sample size, outcome category, or dietary adherence assessment method, no differences were exhibited in the FI and RFI between groups, except for the RFI among different compliance assessment methods. Conclusions In essence, the present study shows that even in the top tiers of evidence hierarchy, research on the MD may lack robustness, setting concerns for the formulation of nutrition recommendations.

Background/Objectives: As the incidence of diabetes mellitus (DM) is increasing rapidly worldwide, it is anticipated that an increasing number of women will enter pregnancy with pregestational diabetes mellitus (PGDM) in the future. Compelling evidence suggests that hyperglycemia in pregnancy is related to multiple adverse perinatal outcomes. This systematic review and meta-analysis aims to assess and quantify the association of PGDM with a range of adverse perinatal outcomes, providing a comprehensive understanding of its impact on pregnancy. Methods: The data sources of this systematic review and meta-analysis were Medline/PubMed, Scopus and Cochrane Library (January 1999 to August 2023), complemented by hand-searching for additional references. Observational studies reporting perinatal outcomes of pregnancies with PGDM diagnosed before pregnancy versus control pregnancies were eligible for inclusion. A systematic review and meta-analysis were conducted as per the PRISMA guidelines. Pooled estimate odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to determine the risk of adverse pregnancy outcomes between PGDM and control pregnancies. Results: The systematic search of the literature yielded 81 observational studies meeting inclusion criteria and in total, 137,237,640 pregnancies were included in the analysis. A total of 19 adverse perinatal outcomes were assessed, revealing a significant association with PGDM. In pregnancies with PGDM there was an increased risk of adverse perinatal outcomes, including gestational hypertension (OR 3.16, 95% CI 2.65–3.77), preeclampsia (OR 4.46, 95% CI 3.94–5.05), preterm delivery (OR 3.46, 95% CI 3.06–3.91), cesarean delivery (OR 3.12, 95% CI 2.81–3.47), induction of labor (OR 2.92, 95% CI 2.35–3.63), macrosomia (OR 2.23, 95% CI 1.76–2.83), LGA neonates (OR 3.95, 95% CI 3.47–4.49), low 5-min Apgar score (OR 2.49, 95% CI 2.07–2.99), shoulder dystocia (OR 3.05, 95% CI 2.07–4.50), birth trauma (OR 1.40, 95% CI 1.22–1.62), polyhydramnios (OR 5.06, 95% CI 4.33–5.91), oligohydramnios (OR 1.61, 95% CI 1.19–2.17), neonatal hyperbilirubinemia (OR 3.45, 95% CI 2.51–4.74), neonatal hypoglycemia (OR 19.19, 95% CI 2.78–132.61), neonatal intensive care unit (NICU) admission (OR 4.54, 95% CI 3.87–5.34), congenital malformations (OR 2.44, 95% CI 1.96–3.04), stillbirth (OR 2.87, 95% CI 2.27–3.63) and perinatal mortality (OR 2.94, 95% CI 2.18–3.98). Subgroup analyses indicated a higher risk of neonatal hypoglycemia, stillbirth and perinatal mortality in T1DM pregnancies compared with T2DM pregnancies. Conclusions: This study provides a robust synthesis of evidence underlying the strong association between PGDM and several adverse perinatal outcomes. Early detection, optimal glycemic control during the periconceptional and pregnancy periods, and proper antenatal care are critical to mitigate these risks.