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Updated: Dec 10, 2025

Eye Tracking Young Children with Autism
Published on: March 27, 2012
Shuffling babies and autism spectrum disorder.
Yu Okai1, Tomohiko Nakata2, Kiyokuni Miura3
1Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan; Toyota Municipal Child Development Center, Toyota, Japan.
Some infants who bottom shuffle, a precursor to walking, may develop autism spectrum disorder (ASD). Early attention to social and cognitive development in these infants is crucial for timely diagnosis and intervention.
Area of Science:
- Developmental Pediatrics
- Neurodevelopmental Disorders
- Infant Locomotion
Background:
- Bottom shuffling is an infant locomotion method preceding independent walking.
- Shuffling infants typically exhibit favorable developmental outcomes.
- This study investigates the clinical and neurodevelopmental profiles of shuffling infants.
Purpose of the Study:
- To identify clinical features of infants who bottom shuffle.
- To determine neurodevelopmental outcomes in shuffling infants.
- To explore the association between bottom shuffling and autism spectrum disorder (ASD).
Main Methods:
- Retrospective chart review of 48 shuffling infants at a child development center (2007-2015).
- Exclusion of infants with cerebral palsy, Down syndrome, or congenital disorders.
- Analysis of family history, neurological findings, and developmental outcomes, including ASD diagnosis.
Main Results:
- 42% of shuffling infants were diagnosed with ASD during follow-up.
- No significant differences in gross motor development were observed between infants with and without ASD.
- Infants with ASD showed higher rates of poor eye contact and delayed first word speech.
- Family history of bottom shuffling was less common in infants later diagnosed with ASD.
Conclusions:
- A subset of infants who bottom shuffle may later be diagnosed with ASD.
- Early identification of social and cognitive delays is vital for shuffling infants.
- This highlights the importance of monitoring neurodevelopmental trajectories in shuffling populations.
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