Publications by authors named "N I P Pini"

Gestational diabetes mellitus (GDM) affects around 10% of pregnancies in the United States and has been linked to neurodevelopmental sequelae in children. However, there is a paucity of studies investigating early-life neural markers in GDM-exposed infants. This study examined the association of GDM with relative EEG power among healthy term-age neonates collected during natural sleep.

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Objective: Establish whether pregnancies complicated by gestational diabetes mellitus (GDM) are associated with a fetal cardiac phenotype that predisposes to arrhythmia; utilising measurements derived from non-invasive abdominal fetal ECG.

Design: Prospective observational study.

Setting: Three tertiary obstetric units, United Kingdom.

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Introduction: During the COVID-19 pandemic, birthing parents were identified as a high-risk group with greater vulnerability to the harms associated with SARS-CoV-2. This led to necessary changes in perinatal health policies but also to experiences of maternal isolation and loneliness, both in hospital settings, due to infection mitigation procedures, and once home, due to social distancing.

Methods: In this study, we qualitatively explored birthing and postpartum experiences in New York City during the early days of the pandemic when lockdowns were in effect and policies and practices were rapidly changing.

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The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Electroencephalography (EEG) is one of two brain imaging modalities central to the HBCD Study. EEG records electrical signals from the scalp that reflect electrical brain activity.

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The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Wearable and remote sensing technologies have advanced data collection outside of laboratory settings to enable exploring, in more detail, the associations of early experiences with brain development and social and health outcomes. In the HBCD Study, the Novel Technology/Wearable Sensors Working Group (WG-NTW) identified two primary data types to be collected: infant activity (by measuring leg movements) and sleep (by measuring heart rate and leg movements).

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