Publications by authors named "Melissa Nevarez-Brewster"
Article Synopsis
- * Out of 4650 articles screened, 34 were selected, with most studies conducted recently (2019-2024), analyzing aspects like sleep quality, timing, and disorders, and their effects on child outcomes such as sleep health and developmental issues.
- * Findings highlight that inadequate sleep during pregnancy is linked to negative outcomes in offspring, including difficulties in sleep, higher body mass index, increased health problems, and altered brain function, suggesting a need for further research on the long-term effects of sleep during pregnancy.
Article Synopsis
- Poor prenatal sleep quality in mothers is linked to negative outcomes for both the mother and infant, including changes in brain development and increased anxiety-like behaviors.
- A study involving 116 mother-infant pairs used surveys to assess maternal sleep quality and MRI scans to examine neonatal brain development, specifically focusing on the uncinate fasciculus.
- Results showed that poorer maternal sleep during pregnancy correlated with higher levels of white matter in infants, which then related to greater infant negative emotionality, indicating that maternal sleep is an important environmental factor influencing child development.
The objective of the study was to investigate whether adverse and benevolent childhood experiences were associated with trajectories of sleep quality throughout pregnancy. The study was conducted at obstetrics and gynecology clinics in the Rocky Mountain region of the USA. The participants of the study were pregnant individuals ( = 164).
View Article and Find Full Text PDFBackground: The rapid maturation of the fetal brain renders the fetus susceptible to prenatal environmental signals. Prenatal maternal sleep quality is known to have important health implications for newborns including risk for preterm birth, however, the effect on the fetal brain is poorly understood.
Method: Participants included 94 pregnant participants and their newborns (53% female).