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Autism Observation Scale for Infants: Systematic Review and Meta-Analysis in Samples at Increased Likelihood of
Kyle Reid1, Lori-Ann R Sacrey1, Lonnie Zwaigenbaum1
1Autism Research Centre, Department of Pediatrics, Glenrose Rehabilitation Hospital and University of Alberta, Edmonton, Canada.
The Autism Observation Scale for Infants (AOSI) effectively identifies early signs of autism spectrum disorder (ASD) in infants with increased likelihood (IL) of developing ASD. This systematic review confirms its utility in diverse IL populations.
Area of Science:
- Developmental psychology
- Clinical psychology
- Pediatric neurology
Background:
- The Autism Observation Scale for Infants (AOSI) is increasingly used with non-infant sibling populations.
- Assessing the utility of the AOSI in increased likelihood (IL) populations is crucial for early identification of autism spectrum disorder (ASD).
Purpose of the Study:
- To systematically review and meta-analyze studies using the AOSI in increased likelihood (IL) populations.
- To evaluate the AOSI's effectiveness in identifying early signs of ASD in infants at higher risk.
Main Methods:
- A systematic review and meta-analysis of 17 studies from six databases.
- Analysis of AOSI application in four IL contexts: infant siblings, Fragile X Syndrome, Tuberous Sclerosis Complex, and Down Syndrome.
Main Results:
- Five studies reported classification data, but without a consistent methodology.
- Group differences between IL-ASD, IL non-ASD, and control groups emerged by 12 months of age.
- Large effect sizes were observed between IL-ASD and control samples, indicating significant differences.
Conclusions:
- The AOSI demonstrates utility in identifying early signs of ASD in increased likelihood (IL) populations.
- The tool shows potential for early detection in infants with genetic syndromes and those with a family history of ASD.
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