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EARLY ASSESSMENT OF NEURODEVELOPMENTAL SCALES CORRELATES WITH POSITIVE M-CHAT SCREENING IN 24-MONTH-OLD INFANTS

Haixia CHANG, Yali LIU, Jinfang LV, Qin LI, Junqiang XUE, Xia WANG

Alpha Psychiatry - 2026;27(2):42936-0

Pediatric Health Care Department & Psychological Behavior Department, Hebei Children's Hospital, Shijiazhuang

 

Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social communication and repetitive behaviors. Early identification of high-risk infants is crucial for intervention and long-term outcomes. This study explored the association between early neurological development from 12 to 15 months and the related risk factors for ASD, with a primary focus on M-CHAT status at 24 months as the screening outcome, and the impact of family history, prematurity, and sleep disorders. Methods: We conducted a retrospective analysis of 50 children aged 24 months who tested positive on the Modified Checklist for Autism in Toddlers (M-CHAT) and 50 matched controls with negative results. Neurodevelopmental status was assessed using the Gesell Developmental Diagnosis Scale (GDDS), the Peabody Developmental Motor Scales, Second Edition (PDMS-2), and the Sensory Integration Schedule (SIS). Statistical analyses, including logistic regression, were used to evaluate associations among baseline characteristics, neurodevelopmental scores, and ASD risk factors. Results: A total of 100 infants were included, with 50 classified as high risk and 50 as low risk. High-risk infants had significantly higher rates of family history of ASD, prematurity, and sleep disorders. They showed impairments across several PDMS-2 subscales, including stationary, locomotion, and grasping, as well as GDDS subscales such as adaptability and language. Logistic regression analysis revealed that neurodevelopmental impairments were significantly associated with M-CHAT positivity at 24 months. Conclusions: Early neurodevelopmental impairments in infants aged 12 to 15 months may serve as important indicators of ASD risk. Identifying these factors may facilitate timely intervention and improve outcomes for high-risk children.