Aims: This study investigated the association between maternal age and early and late gestational diabetes mellitus (GDM).
Methods: In total, 72,270 pregnant women were included in this prospective birth cohort study. Associations between maternal age and early GDM (diagnosed at <24 gestational weeks) and late GDM (diagnosed at ≥24 gestational weeks) were evaluated using a multinomial logistic regression model with possible confounding factors.
This study investigates the association between parity and type 2 diabetes mellitus (T2DM) in Japanese women, considering the clinical history of gestational diabetes mellitus (GDM) and menopausal status, which are known risk factors for T2DM. Overall, 30,116 Japanese women (6,588 premenopausal and 23,528 postmenopausal) were included in this cross-sectional study. They were divided into two groups according to menopausal status (premenopausal and postmenopausal women), and the association between parity and T2DM was evaluated using a multiple logistic regression model with possible confounders, including a clinical history of GDM.
View Article and Find Full Text PDFBruxism, the involuntary activity of masticatory muscles, is common among individuals with autism spectrum disorders (ASD). Although bruxism is bidirectionally associated with sleep issues, whether an infant's sleep duration contributes to the development of bruxism remains unknown. In this study, a dataset (n = 83,720) obtained from the Japan Environment and Children's Study, a nationwide birth cohort study, was subjected to multiple imputations using logistic regression analysis with adjustments for several maternal and child-related variables.
View Article and Find Full Text PDFBackground: Various disease prediction models have been developed, capitalizing on the wide use of electronic health records, but environmental factors that are important in the development of noncommunicable diseases are rarely included in the prediction models. Hypertensive disorders of pregnancy are leading causes of maternal morbidity and mortality and are known to cause several serious complications later in life.
Objective: This study aims to develop early hypertensive disorders of pregnancy prediction models using comprehensive environmental factors based on self-report questionnaires in early pregnancy.