The Impact of Excessive Weight on Breastfeeding Intention, Initiation, and Duration.

Background: Breastfeeding is widely recognized as the optimal feeding method for infants. However, breastfeeding goals are often unmet, especially in mothers with excessive weight. Potential factors associated with unmet goals could be disparities in care for women with higher body mass index (BMI) or mental health symptomology. Methods: Women enrolled in a longitudinal study were stratified by BMI into three groups: mothers with normal weight (18.5-24.9 kg/m2, n = 101), with overweight (25-29.9 kg/m2, n = 78), and with obesity (OB; 30-35 kg/m2, n = 48). Breastfeeding intention and standardized mental health questionnaires were administered at gestational weeks 12 and 36. The prevalence of initiation and duration of breastfeeding were determined based on self-reported breastfeeding start and end dates. Wilcoxon tests, pairwise proportion test, Cox proportional hazards regression, and linear regression were used. Results: Higher maternal weight status (OB) was significantly associated with lower breastfeeding intention and duration. As expected, higher breastfeeding intention scores were associated with significantly longer breastfeeding duration. Higher scores on the Beck Depression Inventory (BDI), associated with a greater number of depression symptoms, mediated the negative impact of weight status on breastfeeding intention. Conclusions: breastfeeding outcomes are negatively associated with maternal weight status and prenatal mental health with the relationship between the two being interconnected, despite subclinical scores on the BDI. Further research is needed to explore the role of mental health on breastfeeding outcomes. From these findings, targeted prenatal interventions for women with excessive weight and depressive symptoms would likely promote and improve breastfeeding outcomes. ClinicalTrials.gov: www.clinicaltrials.gov, ID #NCT01131117.

Associations between mother's depressive symptoms during pregnancy and newborn's brain functional connectivity.

Depression during pregnancy is common and the prevalence further increased during the COVID pandemic. Recent findings have shown potential impact of antenatal depression on children's neurodevelopment and behavior, but the underlying mechanisms are unclear. Nor is it clear whether mild depressive symptoms among pregnant women would impact the developing brain. In this study, 40 healthy pregnant women had their depressive symptoms evaluated by the Beck Depression Inventory-II at ~12, ~24, and ~36 weeks of pregnancy, and their healthy full-term newborns underwent a brain MRI without sedation including resting-state fMRI for evaluation of functional connectivity development. The relationships between functional connectivities and maternal Beck Depression Inventory-II scores were evaluated by Spearman's rank partial correlation tests using appropriate multiple comparison correction with newborn's gender and gestational age at birth controlled. Significant negative correlations were identified between neonatal brain functional connectivity and mother's Beck Depression Inventory-II scores in the third trimester, but not in the first or second trimester. Higher depressive symptoms during the third trimester of pregnancy were associated with lower neonatal brain functional connectivity in the frontal lobe and between frontal/temporal lobe and occipital lobe, indicating a potential impact of maternal depressive symptoms on offspring brain development, even in the absence of clinical depression.

Association between maternal and infant screen time with child growth and development: A longitudinal study.

BACKGROUND: Sedentary screen time is an early, modifiable risk factor for obesity and poor child development. OBJECTIVES: To examine the relationship between maternal and infant screen time with child growth and development. METHODS: Pregnant women were recruited for a cohort study related to maternal and infant development. Screen time was assessed in mothers during pregnancy, and subsequently in children at 3 months, 12 months, and 24 months of age. Child anthropometry was measured, and nuclear magnetic resonance quantified child fat mass. Fat mass index (FMI) was calculated. The Bayley Scales of Infant Development-III were used to assess child development. Linear regression models were used to assess the relationship between screen time and child growth and development, adjusted for covariates and stratified by sex. RESULTS: Mother/child dyads (n = 89) were mainly white (92.1%), and half were boys (52%). Both sexes increased screen time between 12 months and 24 months (ps <0.05). Child screen time was positively associated with FMI and negatively associated with development scores. In adjusted models, screen time was positively associated with FMI in boys, and meeting the screen time guideline was associated with lower FMI in girls. CONCLUSION: Greater infant screen time was related to higher adiposity. Though few relationships emerged, a cautionary approach to screen time early in life may benefit child health.

Associations between Cortical Asymmetry and Domain Specific Cognitive Functions in Healthy Children.

Cortical asymmetry and functional lateralization form intriguing and fundamental features of human brain organization, and is complicated by individual differences and evolvement with age. While many studies have investigated neuroanatomical differences between hemispheres as well as functional lateralization of the brain for different age groups, few have looked into the associations between cortical asymmetry and development of cognitive functions in children. In this study, we aimed to identify relationships between hemispheric asymmetry in brain cortex measured by MRI and cognitive development in healthy young children evaluated by a comprehensive battery of neuropsychological tests. Structural MRI data were obtained from 71 children in the age range of 7.5 to 8.5 years. Structural lateralization index (SLI), a reflection of the brain asymmetry, was computed for each of the 3 cortical morphometry measurements: cortical thickness, surface area and gray matter volume. A total of 34 bilateral regions were studied for the whole brain cortex as defined by the Desikan atlas. Region-wise SLI was correlated with domain specific cognitive scores using partial correlation analysis controlled for the potential confounding effects of age and sex. Significant correlations were identified between test scores of multiple cognitive domains and SLI of several cortical regions. Specifically, SLI of total surface area of precuneus and insula significantly correlated with measures of executive function behavior; significant relationships were also found between SLI of mean cortical thickness of superior parietal cortex and memory and language tests scores; in addition, SLI of parahippocampal gyrus also showed significant correlations with language test scores for all 3 morphometry features. These findings revealed regional hemispheric asymmetries that may be linked to specific cognitive abilities in children.Clinical relevance- This study shows associations between structural lateralization in different brain cortical regions and variations in specific cognitive functions in healthy children.

Early infant feeding effect on growth and body composition during the first 6 years and neurodevelopment at age 72 months.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: In conclusion, BF, MF, and SF support adequate growth and development up to age 6 years. IMPACT: Although soy protein-based infant formula is reported to support normal infant growth and development compared to cow's milk-based formula and human milk, there are limited data on the effect of these feeding methods in school-aged children. This study suggests a significant difference in body composition, specifically BMI, 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.

Developmental assessments during the first 5 years of life in infants fed breast milk, cow's milk formula, or soy formula.

OBJECTIVE: To investigate the effects of infant feeding mode on childhood cognition and language as the differential effects of infant feeding on development remain understudied. METHODS: Breastfed [BF, 174], cow's milk-based formula-fed [MF, 169], or soy protein-based formula-fed [SF, 161] children were longitudinally tested from age 3 to 60 months for neurodevelopment. Data were analyzed using mixed models while adjusting for multiple covariates. Sex differences were also assessed. RESULTS: Standard scores were within established norms for all groups. There were no differences in mental development to age 24 months, yet BF children had significantly higher motor development scores at age 3 months than SF children (99.1 versus. 97.2). BF children had significantly higher composite intelligence scores at 48 months than MF and SF children (113.4 versus. 109.6 and 108.4, respectively) and higher verbal intelligence scores than SF children at 48 (105.6 versus. 100.7) and 60 months (109.8 versus. 105.9). Greater total language scores at ages 36 and 48 months were found in BF children compared with children fed MF or SF (p < .001), with differences between sexes for auditory comprehension. Higher total language scores at age 60 months were found between BF and SF (105.0 versus. 100.1). CONCLUSION: Breastfeeding was associated with small, statistically significant, differences between children ages 3 and 5 years in verbal intelligence, expressive communication, and auditory comprehension with the latter having potential sexual dimorphic effects. Yet, these differences remain small and may not be of clinical relevance. Overall, MF and SF did not significantly differ.

Developmental functioning and medical Co-morbidity profile of children with complex and essential autism.

Children with Autism Spectrum Disorders (ASD) may be characterized as "complex" (those with microcephaly and/or dysmorphology) or "essential" (those with neither of these two). Previous studies found subjects in the complex group exhibited lower IQ scores, poorer response to behavioral intervention, more seizures and more abnormal EEGs and brain MRIs compared to the essential group. The objective of this study was to determine if there are differences in complex versus essential subjects based on several developmental/psychological measures as well as certain medical comorbidities. This study utilized data from 1,347 individuals (2-17 years old) well-characterized subjects enrolled in Autism Treatment Network (ATN) Registry. Head circumference measurement and the Autism Dysmorphology Measure (ADM) were used by trained physicians to classify subjects as complex or essential. Significantly lower scores were seen for complex subjects in cognitive level, adaptive behavior and quality of life. Complex subjects showed significantly increased physician-documented GI symptoms and were on a higher number of medications. No significant differences in autism severity scores, behavioral ratings and parent-reported sleep problems were found. After adjusting for multiple comparisons made, adaptive scores remained significantly lower for the complex group, and the complex group used a significantly higher number of medications and had increased GI symptoms. Complex and essential autism subtypes may have distinct developmental and medical correlates and thus underlines the importance of looking for microcephaly and dysmorphology, when evaluating a child with autism. Determining this distinction in autism may have implications in prognosis, identifying medical co-morbidities, directing diagnostic evaluations and treatment interventions. Autism Res 2017, 10: 1344-1352. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.

Diabetes Control and Adherence in Adolescence.

Type 1 diabetes is a chronic disease that can lead to severe complications if poorly controlled. Adolescents are particularly vulnerable to worsening diabetes control due to changes in physiology, family dynamics, and social interactions. Good diabetes control requires following a regimen of frequent blood glucose checks, accurate carbohydrate counts, and compliance with insulin administration. Patients who are challenged in controlling their diabetes do tend to respond to behavioral interventions; however, the effect of the intervention wanes over time. Using technology to provide interventions has shown promise in terms of improving compliance. Positive family support and adequate knowledge of the developmental stages is important to ensure a successful transition from childhood to adolescence. Providers should also incorporate a structured transition from adolescent to adult diabetes care. [Pediatr Ann. 2016;45(9):e327-e331.].

Autism Speaks Toolkits: Resources for Busy Physicians.

Given the increased prevalence of autism spectrum disorders (ASD), it is likely that busy primary care providers (PCP) are providing care to individuals with ASD in their practice. Autism Speaks provides a wealth of educational, medical, and treatment/intervention information resources for PCPs and families, including at least 32 toolkits. This article serves to familiarize PCPs and families on the different toolkits that are available on the Autism Speaks website. This article is intended to increase physicians' knowledge on the issues that families with children with ASD frequently encounter, to increase their ability to share evidence-based information to guide treatment and care for affected families in their practice.

Treatment for Sleep Problems in Children with Autism and Caregiver Spillover Effects.

Sleep problems in children with autism spectrum disorders (ASD) are under-recognized and under-treated. Identifying treatment value accounting for health effects on family members (spillovers) could improve the perceived cost-effectiveness of interventions to improve child sleep habits. A prospective cohort study (N = 224) was conducted with registry and postal survey data completed by the primary caregiver. We calculated quality of life outcomes for the child and the primary caregiver associated with treatments to improve sleep in the child based on prior clinical trials. Predicted treatment effects for melatonin and behavioral interventions were similar in magnitude for the child and for the caregiver. Accounting for caregiver spillover effects associated with treatments for the child with ASD increases treatment benefits and improves cost-effectiveness profiles.

Predicting health utilities for children with autism spectrum disorders.

Comparative effectiveness of interventions for children with autism spectrum disorders (ASDs) that incorporates costs is lacking due to the scarcity of information on health utility scores or preference-weighted outcomes typically used for calculating quality-adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the Health Utilities Index Mark 3 (HUI3) for the child were obtained from the primary caregiver (proxy-reported) through a survey (N = 224). During the initial clinic visit, proxy-reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the Pediatric Quality of Life Inventory 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule, to measure severity, child age, and cognitive ability as independent predictors. In-sample cross-validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (standard deviation = 3.5) years. Almost half of the children (47%) had cognitive impairment (IQ ≤ 70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions.

The Autism Impact Measure (AIM): initial development of a new tool for treatment outcome measurement.

The current study describes the development and psychometric properties of a new measure targeting sensitivity to change of core autism spectrum disorder (ASD) symptoms, the Autism Impact Measure (AIM). The AIM uses a 2-week recall period with items rated on two corresponding 5-point scales (frequency and impact). Psychometric properties were examined using a large sample (n = 440) of children with ASD enrolled in the Autism Treatment Network. The exploratory factor analysis indicated four factors and resulted in a 25-item questionnaire with excellent overall model fit. Test-retest reliability, cross-informant reliability, and convergent validity with other measures of ASD symptoms and overall functioning were strong. The AIM is a reliable and valid measure of frequency and impact of core ASD symptoms.

Preference-based health-related quality-of-life outcomes in children with autism spectrum disorders: a comparison of generic instruments.

BACKGROUND: Cost-effectiveness analysis of pharmaceutical and other treatments for children with autism spectrum disorders (ASDs) has the potential to improve access to services by demonstrating the value of treatment to public and private payers, but methods for measuring QALYs in children are under-studied. No cost-effectiveness analyses have been undertaken in this population using the cost-per-QALY metric. OBJECTIVE: This study describes health-related quality-of-life (HR-QOL) outcomes in children with ASDs and compares the sensitivity of two generic preference-based instruments relative to ASD-related conditions and symptoms. METHODS: The study design was cross-sectional with prospectively collected outcome data that were correlated with retrospectively assessed clinical information. Subjects were recruited from two sites of the Autism Treatment Network (ATN) in the US: a developmental centre in Little Rock, Arkansas, and an outpatient psychiatric clinic at Columbia University Medical Center in New York. Children that met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for an ASD by a multidisciplinary team evaluation were asked to participate in a clinical registry. Families of children with an ASD that agreed to be contacted about participation in future research studies as part of the ATN formed the sampling frame for the study. Families were included if the child with the ASD was between 4 and 17 years of age and the family caregiver spoke English. Eligible families were contacted by mail to see if they would be interested in participating in the study with 150 completing surveys. HR-QOL outcomes were described using the Health Utilities Index (HUI) 3 and the Quality of Well-Being Self-Administered (QWB-SA) scale obtained by proxy via the family caregiver. RESULTS: Children were diagnosed as having autistic disorder (76%), pervasive developmental disorder-not otherwise specified [PDD-NOS] (15%), and Asperger's disorder (9%). Average HUI3 and QWB-SA scores were 0.68 (SD 0.21, range 0.07-1) and 0.59 (SD 0.16, range 0.18-1), respectively. The HUI3 score was significantly correlated with clinical variables including adaptive behaviour (ρ = 0.52; p < 0.001) and cognitive functioning (ρ = 0.36; p < 0.001). The QWB-SA score had weak correlation with adaptive behaviour (ρ = 0.25; p < 0.001) and cognitive functioning (ρ = 0.17; p < 0.005). Change scores for the HUI3 were larger than the QWB-SA for all clinical measures. Scores for the HUI3 increased 0.21 points (95% CI 0.14, 0.29) across the first to the third quartile of the cognitive functioning measure compared with 0.05 (95% CI -0.01, 0.11) for the QWB-SA. Adjusted R2 values also were higher for the HUI3 compared with the QWB-SA across all clinical measures. CONCLUSIONS: The HUI3 was more sensitive to clinical measures used to characterize children with autism compared with the QWB-SA score. The findings provide a benchmark to compare scores obtained by alternative methods and instruments. Researchers should consider incorporating the HUI3 in clinical trials and other longitudinal research studies to build the evidence base for describing the cost effectiveness of services provided to this important population.

Developmental status of 1-year-old infants fed breast milk, cow's milk formula, or soy formula.

BACKGROUND AND OBJECTIVE: Although soy formula has been reported to support normal development, concerns exist regarding potential adverse developmental effects of phytochemicals associated with soy protein. This study characterized developmental status (mental, motor, and language) of breastfed (BF), milk-based formula-fed (MF), or soy protein-based formula-fed (SF) infants during the first year of life. METHODS: Healthy infants (N = 391) were assessed longitudinally at ages 3, 6, 9, and 12 months. Development was evaluated by using the Bayley Scales of Infant Development and the Preschool Language Scale-3. Mixed effects models were used while adjusting for socioeconomic status, mother's age and IQ, gestational age, gender, birth weight, head circumference, race, age, and diet history. RESULTS: No differences were found between formula-fed infants (MF versus SF). BF infants scored slightly higher than formula-fed infants on the Mental Developmental Index (MDI) score at ages 6 and 12 months (P < .05). Infants who were breastfed also had higher Psychomotor Development Index scores than SF infants at age 6 months and slightly higher Preschool Language Scale-3 scores than MF infants at ages 3 and 6 months (P < .05). In addition, BF infants had a lower probability to score within the lower MDI quartile compared with MF infants and a higher likelihood to score within the upper quartile for the MDI and Psychomotor Development Index compared with SF infants. CONCLUSIONS: This unique study showed that all scores on developmental testing were within established normal ranges and that MF and SF groups did not differ significantly. Furthermore, this study demonstrated a slight advantage of BF infants on cognitive development compared with formula-fed infants.

Metabolic imbalance associated with methylation dysregulation and oxidative damage in children with autism.

Oxidative stress and abnormal DNA methylation have been implicated in the pathophysiology of autism. We investigated the dynamics of an integrated metabolic pathway essential for cellular antioxidant and methylation capacity in 68 children with autism, 54 age-matched control children and 40 unaffected siblings. The metabolic profile of unaffected siblings differed significantly from case siblings but not from controls. Oxidative protein/DNA damage and DNA hypomethylation (epigenetic alteration) were found in autistic children but not paired siblings or controls. These data indicate that the deficit in antioxidant and methylation capacity is specific for autism and may promote cellular damage and altered epigenetic gene expression. Further, these results suggest a plausible mechanism by which pro-oxidant environmental stressors may modulate genetic predisposition to autism.

An informal survey on family/caregiver wishes for individuals with autism in Arkansas.

Families/caregivers of children with ASD experience problems and disparities in healthcare and service delivery first hand. As a result, they can provide valuable input in the development of a system that best meets the needs of these children. Results from an informal, open response survey completed by participants of the 2011 Autism Speaks Walk in Little Rock most commonly identified the need for better quality educational/interventional services and the need to develop or transform community assets to be more knowledgeable and supportive of individuals with autism as major gaps in the system of care for their children.

Part 2: Components of a comprehensive diagnostic evaluation for autism spectrum disorders.

Part two in this series will discuss the American Academy of Pediatrics suggestions for the components of a comprehensive autism assessment. A better understanding about the critical components of a comprehensive assessment for ASD can help the PCP be an informed consumer of the information provided in report(s) from the referral source. This information also helps the PCP have a better understanding of what additional evaluations might be needed to provide a complete clinical picture of the child. This knowledge will guide the PCP in translating these evaluation components into a meaningful treatment plan for the child.

The school nurse's role in treatment of the student with autism spectrum disorders.

PURPOSE: Some healthcare concerns have been found to be commonly associated with Autism Spectrum Disorders (ASD). Identification and treatment of these medical issues can improve the functioning of the child with ASD. This article will offer practical suggestions for the school nurse. CONCLUSIONS: As a "front-line" medical professional in the schools, the school nurse is positioned to provide guidance on implementing interventions for the student with ASD. PRACTICE IMPLICATIONS: By being knowledgeable about current research and treatment options for the various associated medical conditions, the school nurse can help the student achieve academic success in the school setting.

Helping the student with Asperger's Disorder with social and behavioral issues in the school: nursing, psychology, and educators working in unison.

School Health provides a forum to discuss policy, practice, research, issues and trends, and pearls of wisdom to enhance the day-to-day care of children in the school setting, from day care to high school.