Back to Search
Start Over
Toward Better Recognition of Early Predictors for Autism Spectrum Disorders
- Source :
- Pediatric Neurology. 49:225-231
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- Background Identification and diagnosis of autism spectrum disorders is essentially based on behavioral presentation and developmental history. The current average age at diagnosis is older than 3 years. Methods Over the past 15 years, there has been increasing documentation of the early signs of autism spectrum disorders through both individual retrospective parental reports and screening studies. Recent longitudinal studies have focused on early medical and behavioral features of children regarded at risk, namely younger siblings of children with autism spectrum disorders or children who required neonatal intensive care, with a later diagnosis of autism spectrum disorders. Results Potentially useful early neurological signs and developmental predictors for autism spectrum disorders could be identified, with a typical profile that evolved with age. Conclusions Assessment of early social attention and communication skills with adapted scales in children before the age of 18 months in very large community-based settings may lead to high positive predictive values.
- Subjects :
- Neurological signs
medicine.medical_specialty
Early signs
Age at diagnosis
Social attention
Child Development
Developmental Neuroscience
Predictive Value of Tests
Risk Factors
Intensive care
medicine
Humans
Longitudinal Studies
Child
Social Behavior
Psychiatry
Siblings
Age Factors
medicine.disease
Predictive value
Neurology
Child Development Disorders, Pervasive
Pediatrics, Perinatology and Child Health
Autism
Neurology (clinical)
Communication skills
Psychology
Clinical psychology
Subjects
Details
- ISSN :
- 08878994
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Pediatric Neurology
- Accession number :
- edsair.doi.dedup.....9c1968ef703d0f5a97f65e00a1142954