Background/objectives: This study investigates the impact of maternal glycemic levels during early and late pregnancy on offspring neurodevelopment in China.
Methods: Fasting plasma glucose (FPG) and triglyceride (TG) levels were measured in maternal blood during pregnancy, and the TyG index was calculated to assess insulin resistance. Hyperglycemia was defined as FPG > 5.1 mmol/L. Neurodevelopmental outcomes in offspring aged 6-36 months were evaluated using the China Developmental Scale for Children, focusing on developmental delay (DD) and developmental quotient (DQ). Mothers were categorized into four glycemic groups: healthy glycemia group (HGG), early pregnancy hyperglycemia group (EHG), late pregnancy hyperglycemia group (LHG), and full-term hyperglycemia group (FHG). Linear and logistic regression models were applied.
Results: Among 1888 mother-child pairs, hyperglycemia and FPG were associated with an increased risk of overall DD (aOR = 1.68; 95% CI 1.07-2.64) and lower DQ (aBeta = -1.53; 95% CI -2.70 to -0.36). Elevated FPG was linked to DD in fine motor and social behaviors. Compared to HGG, LHG and FHG significantly increased the risk of overall DD (aOR = 2.18; 95% CI 1.26-3.77; aOR = 2.64; 95% CI 1.38-5.05), whereas EHG did not. Male offspring were particularly vulnerable to early pregnancy hyperglycemia (aBeta = -2.80; 95% CI -4.36 to -1.34; aOR = 2.05; 95% CI 1.10-3.80).
Conclusions: Maternal glycemic levels during pregnancy influence offspring neurodevelopment, with persistent hyperglycemia significantly increasing DD risk. Early pregnancy hyperglycemia particularly affects male offspring, underscoring the need for glycemic management during pregnancy.
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http://dx.doi.org/10.3390/nu17020257 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Editorial Board of Jiangsu Medical Journal, the First Affiliated Hospital With Nanjing Medical University, Nanjing, 210029, China.
Background: Gestational diabetes mellitus is hyperglycemia in special populations (pregnant women), however gestational diabetes mellitus (GDM) not only affects maternal health, but also has profound effects on offspring health. The prevalence of gestational diabetes in my country is gradually increasing.
Objective: To study the application effect of self-transcendence nursing model in GDM patients.
Nutrients
January 2025
Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China.
Background/objectives: This study investigates the impact of maternal glycemic levels during early and late pregnancy on offspring neurodevelopment in China.
Methods: Fasting plasma glucose (FPG) and triglyceride (TG) levels were measured in maternal blood during pregnancy, and the TyG index was calculated to assess insulin resistance. Hyperglycemia was defined as FPG > 5.
Endocr Pract
January 2025
University of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, 1775 Aurora Court, Aurora, CO 80045, USA. Electronic address:
Objectives: Type 1 diabetes (T1D) in pregnancy is challenging. This study explores how assisted hybrid closed-loop (HCL) therapy versus sensor-augmented pump therapy (SAPT) impacts quality of life (QoL) in pregnancy.
Methods: We interviewed 22 of 24 participants randomized to HCL therapy or SAPT in the Pregnancy Intervention with a Closed-Loop System study.
Diabetes Obes Metab
January 2025
School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.
Aims: Physiological changes during pregnancy can infuence the performance of blood glucose meters. This study aimed to evaluate the analytical and clinical accuracy of glucose meters in pregnant women with hyperglycaemia.
Materials And Methods: Glucose was measured by four commonly used meters among consecutive women with diabetes in pregnancy.
BMC Genomics
January 2025
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Background: There is increasing need for effective incorporation of high-dimensional genetics data from individuals with varied ancestry in genome-wide association (GWAS) analyses. Classically, multi-ancestry GWAS analyses are performed using statistical meta-analysis to combine results conducted within homogeneous ancestry groups. The emergence of cosmopolitan reference panels makes collective preprocessing of GWAS data possible, but impact on downstream GWAS results in a mega-analysis framework merits investigation.
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