3cisd

3C Institute

Leveraging Interactive Digital Technology to Increase Access to Family-Based Behavioral Treatment for Childhood Obesity

National Heart, Lung, and Blood Institute
ID: 1R44HL176464-01A1
PI: MELISSA DEROSIER; DENISE WILFLEY; LEONARD EPSTEIN
TERM: 08/25 – 05/26

One in five youth in the US has obesity, which is associated with reduced quality of life and significant comorbidities, including what were once adult-onset diseases (e.g., Type 2 Diabetes). Effective treatments exist, such as Family-based Behavioral Treatment (FBT), an evidence-based intervention for children with obesity and their caregivers. However, treatments are not widely or equitably distributed; most youth with obesity do not receive effective care. Technology can be leveraged to bring pediatric obesity interventions into real-world practice, creating meaningful and sustainable public health impact by addressing barriers to treatment (e.g., lack of providers, logistical barriers). Digital support tools for the caregiver and youth would further facilitate effective implementation of the intervention by fostering learning and skill development, thereby increasing the scalability of evidence-based interventions without sacrificing fidelity. This SBIR aims to address gaps in treatment access by creating a digital training and delivery package for dissemination and implementation of FBT at scale. Through recently secured CDC funding, we have developed and tested a professional e-training platform for FBT. The primary goal of this SBIR Direct to Phase II is to expand upon the existing training platform to create an “all-in- one” digital product, FBT 2.0, that offers an integrated suite of intervention components, including (a) dynamic, personalized, self-paced program for children and parent/caregivers; (b) e-training and ongoing support for interventionists; and (c) family engagement and monitoring tools for interventionists. We will create a comprehensive, e-learning digital intervention with engaging, interactive, and personalized online tools for youth and their parents/caregivers that are integrated into the broader interventionist platform.

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DEB CHILDRESS, PHD

Chief of Research and Learning Content

BIOGRAPHY

Dr. Childress obtained her PhD in psychology at the University of North Carolina at Chapel Hill. Prior to coming to 3C Institute, she served as a research associate and a postdoctoral fellow in the Carolina Institute for Developmental Disabilities at the University of North Carolina at Chapel Hill working on a longitudinal imaging study aimed at identifying the early markers of autism through behavioral and imaging methodologies. She has 19 years of autism research experience, during which she has examined the behavioral, personality, and cognitive characteristics of individuals with autism and their family members. Dr. Childress also has experience developing behavioral and parent report measurement tools, coordinating multi-site research studies, and collecting data from children and families. She has taught courses and seminars in general child development, autism, and cognitive development at the University of North Carolina at Chapel Hill.

Expertise

  • autism
  • early development
  • behavioral measurement
  • integrating behavioral and biological measurement

Education

  • Postdoctoral fellowship, Carolina Institute for Developmental Disabilities (Institutional NRSA-NICHD), University of North Carolina at Chapel Hill
  • PhD, developmental psychology, University of North Carolina at Chapel Hill
  • BS, psychology (minor in sociology), University of Iowa

Selected Publications

  • Elison, J. T., Wolff, J. J., Heimer, D. C., Paterson, S. J., Gu, H., Hazlett, H. C., Styner, M, Gerig, G., & Piven, J. (in press). Frontolimbic neural circuitry at 6 months predicts individual differences in joint attention at 9 months. Developmental Science.
  • Wassink, T. H., Vieland, V. J., Sheffield, V. C., Bartlett, C. W., Goedken, R., Childress, D. & Piven, J. (2008). Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16. Psychiatric Genetics,18(2),85-91.
  • Losh, M., Childress, D., Lam K. & Piven, J. (2008). Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 147B(4):424-33.
  • Wassink, T. H., Piven, J., Vieland, V. J., Jenkins, L., Frantz R., Bartlett, C. W., Goedken, R., … Sheffield, V.C. (2005). Evaluation of the chromosome 2q37.3 gene CENTG2 as an autism susceptibility gene. American Journal of Medical Genetics (Neuropsychiatric Genetics), 136, 36-44.
  • Barrett, S., Beck, J., Bernier, R., Bisson, E., Braun, T., Casavant, T., Childress, D., … Vieland, V. (1999). An autosomal genomic screen for autism. American Journal of Medical Genetics (Neuropsychiatric Genetics), 88, 609-615. doi: 10.1002/(SICI)1096-8628(19991215)88:63.0.CO;2-L
  • Piven, J., Palmer, P., Landa, R., Santangelo, S., Jacobi, D. & Childress, D. (1997). Personality and language characteristics in parents from multiple-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 74, 398-411.
  • Piven, J., Palmer, P., Jacobi, D., Childress, D. & Arndt, S. (1997). Broader autism phenotype: Evidence from a family history study of multiple-incidence autism families. American Journal of Psychiatry, 154, 185-190.