| Literature DB >> 30607781 |
M K J Pijl1,2, G Bussu3, T Charman4, M H Johnson5,6, E J H Jones5, G Pasco4, I J Oosterling7, N N J Rommelse7,8, J K Buitelaar3,7.
Abstract
To investigate temperament as an early risk marker for autism spectrum disorder (ASD), we examined parent-reported temperament for high-risk (HR, n = 170) and low-risk (LR, n = 77) siblings at 8, 14, and 24 months. Diagnostic assessment was performed at 36 months. Group-based analyses showed linear risk gradients, with more atypical temperament for HR-ASD, followed by HR-Atypical, HR-Typical, and LR siblings. Temperament differed significantly between outcome groups (0.03 ≤ ηp2 ≤ 0.34). Machine learning analyses showed that, at an individual level, HR-ASD siblings could not be identified accurately, whereas HR infants without ASD could. Our results emphasize the discrepancy between group-based and individual-based predictions and suggest that while temperament does not facilitate early identification of ASD individually, it may help identify HR infants who do not develop ASD.Entities:
Keywords: Autism spectrum disorder; High-risk; Longitudinal; Machine learning; Temperament
Mesh:
Year: 2019 PMID: 30607781 DOI: 10.1007/s10803-018-3855-8
Source DB: PubMed Journal: J Autism Dev Disord ISSN: 0162-3257