CDC Grand Rounds: Addressing Health Disparities in Early Childhood

Robinson, Lara R.; Bitsko, Rebecca H.; Thompson, Ross A.; Dworkin, Paul H.; McCabe, Mary Ann; Peacock, Georgina; Thorpe, Phoebe

doi:10.15585/mmwr.mm6629a1

Cited by 29 publications

(18 citation statements)

References 14 publications

(29 reference statements)

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“…Socioeconomic disparities in developmental outcomes emerge early and widen over time; therefore, intervention as early as possible may yield the greatest payoffs. 1,5,6 Offering a broad array of integrated service options to ensure children and families have access to appropriate prevention and intervention services based on their specific needs is important. 1 The needs of children and families in poverty are varied; our results and previous research suggests that intervention effects may differ by risk characteristics in the poverty sample and outcome type.…”

Section: Discussionmentioning

confidence: 99%

“…1,5,6 Offering a broad array of integrated service options to ensure children and families have access to appropriate prevention and intervention services based on their specific needs is important. 1 The needs of children and families in poverty are varied; our results and previous research suggests that intervention effects may differ by risk characteristics in the poverty sample and outcome type. 23 The Legacy program is currently taking measured steps toward communitybased dissemination within a variety of programmatic infrastructures including clinical care settings.…”

Section: Discussionmentioning

confidence: 99%

“…Focusing on early childhood development, strengthening communities, and investing in prevention is critical to achieving healthy adult outcomes. 1 This work is especially vital for over 14 million children currently living below the poverty threshold 2 because the crosssector societal costs of child poverty have been estimated as high as $500 billion annually. 3 From a population perspective, childhood poverty's impact includes costs to the criminal justice, special education, and welfare systems 4 as well as losses to human capital and the American economy.…”

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confidence: 99%

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The Legacy for Children™ Randomized Control Trial: Effects on Cognition Through Third Grade for Young Children Experiencing Poverty

Perou

Robinson

Danielson

et al. 2019

J Dev Behav Pediatr

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Objective: In an effort to promote the health and developmental outcomes of children born into poverty, the Centers for Disease Control and Prevention (CDC) conceptualized and designed the Legacy for Children™ (Legacy) public health prevention model. This article examines the impact of Legacy on children's cognitive and language development (intelligence quotient [IQ], achievement, language skills, and early reading skills) using both standardized assessments and parent-reported indictors through third grade.Methods: Data were collected from 2001 to 2014 from 541 mother-child dyads who were recruited into the 2 concurrent randomized controlled trials of Legacy in Miami and Los Angels.Cognitive and/or language outcomes of children were assessed annually from age 2 to 5 years as well as during a follow-up visit in the third grade. Results:Children experiencing Legacy at the Los Angeles site had significantly higher IQ and achievement scores at 2 and 6 years postintervention, equivalent to approximately one-third of an SD (4 IQ points). IQ results persisted over time, and the difference between intervention and comparison groups on achievement scores widened. There were no significant differences in cognitive outcomes in the Miami sample. There were no significant differences in language outcomes for either site. Conclusion:Legacy shows evidence of effectiveness as an intervention to prevent cognitive delays among children living in poverty. The mixed findings across sites may not only reflect the

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

The Legacy for Children™ Randomized Control Trial: Effects on Cognition Through Third Grade for Young Children Experiencing Poverty

Perou

Robinson

Danielson

et al. 2019

J Dev Behav Pediatr

Self Cite

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“…It is a set of highly dynamic processes, including iterative formation and elimination of synapses and stabilization of relevant synaptic connections to mature functional brain activity in conjunction with brain structure (Kuczmarski, 2002 ; Hua and Smith, 2004 ). Aside from the genetic blueprint, it is recognized to depend upon other factors, including nutrition, environmental exposures, and experiences such as interactions with people (Robinson et al, 2017 ).…”

Section: Challenge and Prospectmentioning

confidence: 99%

Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children

Sargolzaei

2021

Front. Comput. Neurosci.

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Neurological disorders dramatically impact patients of any age population, their families, and societies. Pediatrics are among vulnerable age populations who differently experience the devastating consequences of neurological conditions, such as attention-deficit hyperactivity disorders (ADHD), autism spectrum disorders (ASD), cerebral palsy, concussion, and epilepsy. System-level understanding of these neurological disorders, particularly from the brain networks' dynamic perspective, has led to the significant trend of recent scientific investigations. While a dramatic maturation in the network science application domain is evident, leading to a better understanding of neurological disorders, such rapid utilization for studying pediatric neurological disorders falls behind that of the adult population. Aside from the specific technological needs and constraints in studying neurological disorders in children, the concept of development introduces uncertainty and further complexity topping the existing neurologically driven processes caused by disorders. To unravel these complexities, indebted to the availability of high-dimensional data and computing capabilities, approaches based on machine learning have rapidly emerged a new trend to understand pathways better, accurately diagnose, and better manage the disorders. Deep learning has recently gained an ever-increasing role in the era of health and medical investigations. Thanks to its relatively more minor dependency on feature exploration and engineering, deep learning may overcome the challenges mentioned earlier in studying neurological disorders in children. The current scoping review aims to explore challenges concerning pediatric brain development studies under the constraints of neurological disorders and offer an insight into the potential role of deep learning methodology on such a task with varying and uncertain nature. Along with pinpointing recent advancements, possible research directions are highlighted where deep learning approaches can assist in computationally targeting neurological disorder-related processes and translating them into windows of opportunities for interventions in diagnosis, treatment, and management of neurological disorders in children.

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“…However, there are promising parallels between VCS and the increasing awareness of the disruptive impact that adverse childhood events (ACEs) and toxic stress can have on neurological, metabolic and immunological systems, leading to poorer developmental outcomes 9 . The term vulnerable child is increasingly being applied to up to 30%‐40% of children who do not yet manifest delays or disorders, but face an increased risk of adverse outcomes due to social, environmental and behavioural factors 10 …”

Section: Key Questions For Further Researchmentioning

confidence: 99%

Vulnerable child syndrome in everyday paediatric practice: A condition deserving attention and new perspectives

2020

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CDC Grand Rounds: Addressing Health Disparities in Early Childhood

Cited by 29 publications

References 14 publications

The Legacy for Children™ Randomized Control Trial: Effects on Cognition Through Third Grade for Young Children Experiencing Poverty

The Legacy for Children™ Randomized Control Trial: Effects on Cognition Through Third Grade for Young Children Experiencing Poverty

Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children

Vulnerable child syndrome in everyday paediatric practice: A condition deserving attention and new perspectives

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