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Showing papers by "Thomas M. Badger published in 2021"


Journal ArticleDOI
TL;DR: A significant difference in body composition is suggested after 24 months between infant feeding methods during the first year of life and in early childhood; however, all diets provide adequate nutrients to maintain normal development up to 72 months.
Abstract: This study longitudinally characterized the developmental status, growth, and body composition of children who were fed human milk (breastfed, BF), cow’s milk-based (MF), or soy protein-based (SF) infant formula from 3 to 12 months. Standardized anthropometrics and dual-energy X-ray absorptiometry were used to characterize growth and body composition at 3, 6, 9, 12, 24, 36, 48, 60, and 72 months (NCT00616395). Preschool Language Scale-3, Children’s Memory Scale Index (CMS), and Wechsler Preschool and Primary Scale of Intelligence were administered at age 72 months. Mixed-effects models adjusting for gestational age, birth weight, child race and sex, parental education, and maternal IQ were performed. Body Mass index (BMI) was significantly lower between 24 and 72 months in BF children compared to SF children. At 3 and 6 months, BF infants had significantly higher fat mass (FM) than SF infants, whereas BF children had significantly lower FM at 36 and 48 months than SF children. Delayed Recognition Index of the CMS was higher for SF than for MF participants (p = 0.009). There was no other significant difference in developmental outcomes between groups. In conclusion, BF, MF, and SF support adequate growth and development up to age 6 years.

7 citations


DOI
01 Dec 2021
TL;DR: In this paper, the authors investigated the relationship between sleep disturbance measures and cortical morphometry in typically-developing children without previous diagnoses of sleep pathology and found that undiagnosed sleep disturbance may potentially impact brain development even in healthy children.
Abstract: While the importance of adequate sleep duration to normal brain development is well known, more studies are needed to characterize how undiagnosed sleep disturbance other than suboptimal sleep duration may impact brain development. In this study we aim to understand the relationships between sleep disturbance measures and cortical morphometry in typically-developing children without previous diagnoses of sleep pathology. Healthy 8-year-old children (30 boys, 37 girls) without clinical diagnosis of sleep disorders were prospectively recruited for brain MRI and their parents completed the Children’s Sleep Habits Questionnaire (CSHQ). Total sleep disturbance score, as well as 8 subscales including bedtime resistance, sleep onset delay, sleep duration, sleep anxiety, night waking, parasomnias, sleep disordered breathing, and daytime sleepiness were calculated, and their relationships with cortical morphometry features including cortical gray matter volume, cortical thickness, and surface area were investigated, controlled for total cortical volume and sex. The CSHQ total sleep disturbance score significantly correlated with cortical surface area in a cluster in the left middle temporal gyrus (P < 0.001, R = -0.54). In addition, the bedtime resistance subscale negatively correlated with cortical surface area in a cluster in the right fusiform gyrus (P < 0.001, R = -0.50). No other clusters showed significant relationships between CSHQ total score or subscales and cortical features for this cohort. Significant relationships between sleep disturbance scores in typically-developing children without clinical diagnosis of sleep pathology and their brain cortical surface area in two temporal lobe regions were identified, suggesting that undiagnosed sleep disturbance may potentially impact brain development even in healthy children.

1 citations


Journal ArticleDOI
TL;DR: In this article, the authors investigated the relationship between maternal obesity during pregnancy and neonatal brain cortical development and found that infants born to obese mothers showed significantly lower cortical thickness in several frontal lobe regions important for language and executive functions.
Abstract: BACKGROUND AND PURPOSE Recent studies have suggested that maternal obesity during pregnancy is associated with differences in neurodevelopmental outcomes in children. In this study, we aimed to investigate the relationships between maternal obesity during pregnancy and neonatal brain cortical development. MATERIALS AND METHODS Forty-four healthy women (28 normal-weight, 16 obese) were prospectively recruited at <10 weeks' gestation, and their healthy full-term neonates (23 boys, 21 girls) underwent brain MR imaging. All pregnant women had their body composition (fat mass percentage) measured at ∼12 weeks of pregnancy. All neonates were scanned at ∼2 weeks of age during natural sleep without sedation, and their 3D T1-weighted images were postprocessed by the new iBEAT2.0 software. Brain MR imaging segmentation and cortical surface reconstruction and parcellation were completed using age-appropriate templates. Mean cortical thickness for 34 regions in each brain hemisphere defined by the UNC Neonatal Cortical Surface Atlas was measured, compared between groups, and correlated with maternal body fat mass percentage, controlled for neonate sex and race, postmenstrual age at MR imaging, maternal age at pregnancy, and the maternal intelligence quotient and education. RESULTS Neonates born to obese mothers showed significantly lower (P ≤ .05, false discovery rate-corrected) cortical thickness in the left pars opercularis gyrus, left pars triangularis gyrus, and left rostral middle frontal gyrus. Mean cortical thickness in these frontal lobe regions negatively correlated (R = -0.34, P = .04; R = -0.50, P = .001; and R = -0.42, P = .01; respectively) with the maternal body fat mass percentage measured at early pregnancy. CONCLUSIONS Maternal obesity during pregnancy is associated with lower neonate brain cortical thickness in several frontal lobe regions important for language and executive functions.