The Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD; E. Riley, San Diego State University, Principal Investigator) includes 16 different centers where data collection and analysis take place. The data collection sites and associated investigators described in this paper are: San Diego State University (S.N. Mattson), the University of New Mexico and Northern Plains (P.A. May, W.O. Kalberg), University of California, Los Angeles (E.R. Sowell), Emory University (C.D. Coles and J.A. Kable), and the University of Cape Town, South Africa (C. Adnams).
Further Development of a Neurobehavioral Profile of Fetal Alcohol Spectrum Disorders
Article first published online: 13 SEP 2012
Copyright © 2012 by the Research Society on Alcoholism
Alcoholism: Clinical and Experimental Research
Volume 37, Issue 3, pages 517–528, March 2013
How to Cite
Mattson, S. N., Roesch, S. C., Glass, L., Deweese, B. N., Coles, C. D., Kable, J. A., May, P. A., Kalberg, W. O., Sowell, E. R., Adnams, C. M., Jones, K. L., Riley, E. P. (2013), Further Development of a Neurobehavioral Profile of Fetal Alcohol Spectrum Disorders. Alcoholism: Clinical and Experimental Research, 37: 517–528. doi: 10.1111/j.1530-0277.2012.01952.x
- Issue published online: 28 FEB 2013
- Article first published online: 13 SEP 2012
- Manuscript Accepted: 20 JUL 2012
- Manuscript Received: 9 DEC 2011
- NIAAA. Grant Numbers: U01 AA014834, U24 AA014811, U24 AA014818, U24 AA014815
- Fetal Alcohol Syndrome (FAS);
- Prenatal Alcohol Exposure;
- Neurobehavioral Profile;
- Attention-Deficit/Hyperactivity Disorder (ADHD);
- Latent Profile Analysis (LPA)
Heavy prenatal alcohol exposure (AE) results in a broad array of neurobehavioral deficits. Recent research has focused on identification of a neurobehavioral profile or profiles that will improve the identification of children affected by AE. This study aimed to build on our preliminary neurobehavioral profile to improve classification accuracy and test the specificity of the resulting profile in an alternate clinical group.
A standardized neuropsychological test battery was administered to 3 groups of children: subjects with AE (n = 209), typically developing controls (CON, n = 185), and subjects with attention-deficit/hyperactivity disorder (ADHD, n = 74). We assessed a large sample from 6 sites in the United States and South Africa, using standardized methodology. Data were analyzed using 3 latent profile analyses including (i) subjects with fetal alcohol syndrome (FAS) and controls, (ii) subjects with AE without FAS and controls, and (iii) subjects with AE (with or without FAS) and subjects with ADHD.
Classification accuracy was moderate but significant across the 3 analyses. In analysis 1, overall classification accuracy was 76.1% (77.2% FAS, 75.7% CON). In the second analysis, overall classification accuracy was 71.5% (70.1% AE/non-FAS, 72.4% CON). In the third analysis, overall classification accuracy was 73.9% (59.8% AE, 75.7% ADHD). Subjects that were misclassified were examined for systematic differences from those that were correctly classified.
The results of this study indicate that the neuropsychological effects of AE are clinically meaningful and can be used to accurately distinguish alcohol-affected children from both typically developing children and children with ADHD. Further, in combination with other recent studies, these data suggest that approximately 70% of children with heavy prenatal alcohol exposure are neurobehaviorally affected, while the remaining 30% are spared these often-devastating consequences, at least those in the domains under study. Refining the neurobehavioral profile will allow improved identification and treatment development for children affected by prenatal alcohol exposure.