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To assess the national and state prevalence of being "Healthy and Ready to Learn" (HRL) and associated sociodemographic, health, family and neighborhood factors. Cross-sectional analysis of the 2016 National Survey of Children's Health, a nationally representative parent-reported survey administered by web and paper June 2016 to February 2017. Four domains were constructed from 18 items through confirmatory factor analyses: "Early Learning Skills", "Social-Emotional Development", "Self-Regulation", and "Physical Well-being and Motor Development." Each item and domain were scored according to age-specific standards as "On-Track", "Needs Support", and "At Risk" with overall HRL defined as "On-Track" in all domains for 7565 randomly selected children ages 3 to 5 years. In 2016, 42.2% of children ages 3 to 5 years were considered HRL with the proportion considered "On-Track" ranging from 58.4% for Early Learning Skills to 85.5% for Physical Well-being and Motor Development"; approximately 80% of children were considered "On-Track" in Social-Emotional Development and Self-Regulation, respectively. Sociodemographic differences were mostly non-significant in multivariable analyses. Health, family, and neighborhood factors (ie, special health care needs status/type, parental mental health, reading, singing and storytelling, screen time, adverse childhood experiences, and neighborhood amenities) were associated with HRL. HRL prevalence ranged from 25.5% (NV) to 58.7% (NY), but only 4 states were significantly different from the U.S. overall. Based on this pilot measure, only about 4 in 10 US children ages 3 to 5 years may be considered "Healthy and Ready to Learn." Improvement opportunities exist for multiple, modifiable factors to affect young children's readiness to start school. [ABSTRACT FROM AUTHOR]

Objective: The aim of the present study was to describe self-regulation (the ability to influence or control one's thoughts or behavior in response to situational demands and social norms) in children ages 3–5 years using a nationally representative sample and examine risk and protective factors to identify opportunities to support children and families. Methods: Using a cross-sectional design, we examined data from a parent-reported pilot measure of self-regulation from the 2016 National Survey of Children's Health (NSCH). We compared U.S. children aged 3–5 years who were described by parents as "on track" with self-regulation development with children who were not. In addition, we described how health care and developmental services, community, family, and child health and development factors are associated with children's self-regulation. Results: The majority of children (4 of 5) were described by their parents to be developmentally on track with self-regulation. Compared to children described as not on track, children described as on track more often lived in financially and socially advantaged environments and less often experienced family adversity. They also had other positive health and development indicators, whether or not they were receiving developmental services. However, only half of children not on track received developmental surveillance, and only 1 in 4 children described as not on track received educational, mental health, or developmental services. Conclusion: The findings are a step towards using self-regulation as an indicator of healthy child development and as a potential strategy to identify groups of children who may need additional support. [ABSTRACT FROM AUTHOR]

Childhood mental, behavioral, and developmental disorders (MBDDs) are associated with adverse outcomes that can persist into adulthood (1,2). Pediatric clinical settings are important for identifying and treating MBDDs (3). Early identification and treatment of MBDDs can promote healthy development for all children (4), especially those living in poverty who are at increased risk for MBDDs (3,5) but might have reduced access to care (6). CDC analyzed data from the 2016 National Survey of Children's Health (NSCH) on MBDDs, risk factors, and use of federal assistance programs (e.g., Supplemental Nutrition Assistance Program [SNAP]) to identify points to reach children in poverty. In line with previous research (3,6), compared with children in higher-income households, those in lower-income households more often had ever received a diagnosis of an MBDD (22.1% versus 13.9%), and less often had seen a health care provider in the previous year (80.4% versus 93.8%). Among children living below 200% of the federal poverty level (FPL) who did not see a health care provider in the previous year, seven of 10 were in families receiving at least one public assistance benefit. Public assistance programs might offer collaboration opportunities to provide families living in poverty with information, co-located screening programs or services, or connection to care. [ABSTRACT FROM AUTHOR]