Risk Factors, Comorbid Conditions, and Epidemiology of Autism in Children

Abstract

Over 2,900 children with Autism Spectrum Disorders (ASD) were identified from Military Health System databases. Age, gender, and birth cohort matched controls were identified at a 3:1 ratio. Records from the first month of life were extracted, and conditional logistic regression was used to analyze the association between neonatal jaundice, as defined by jaundice requiring a treatment procedure, and later diagnosis of ASD. The analysis found a 38% increased odds of a child with ASD having had clinically significant jaundice as a newborn as compared to controls. The research team presented its findings at the Pediatric Academic Society Annual Meeting in Washington, DC in May 2013. This successful first project established our procedures for data extraction, case and control identification, and analytic methods. Experience with this project has allowed refinements for future projects.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2013
Accession Number
ADA591036

Entities

People

  • Adam Huillet
  • Anthony Goudie
  • Cade M. Nylund
  • Christine Erdie-lalena
  • Elizabeth Hisle-gorman
  • Gregory H. Gorman
  • Luise E. Lozada
  • Matilda Eide
  • Matthew D. Eberly
  • Stephen L. Nelson

Organizations

  • Henry M. Jackson Foundation for the Advancement of Military Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Autism
  • Computer Programs
  • Computers
  • Congenital Hereditary And Neonatal Diseases And Abnormalities
  • Data Analysis
  • Databases
  • Diseases And Disorders
  • Epidemiology
  • Health
  • Health Care
  • Health Services
  • Jaundice
  • Military Medicine
  • Risk Factors
  • Spectra

Fields of Study

  • Medicine

Readers

  • Medical or Health Care Field.
  • Molecular and Cellular Biology
  • Regression Analysis.