On the Spectrum
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2lm5UyR
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White matter microstructure in children with autistic traits<br />
remained after adjustment for a set of standard confounders, we additionally performed a<br />
sensitivity analysis adjusting for IQ and attention problems.<br />
Additionally, we evaluated whe<strong>the</strong>r any associations with white matter microstructure<br />
remained after excluding children with a confirmed diagnosis of ASD. Lastly, any differences<br />
identified using <strong>the</strong> trait approach were also evaluated in <strong>the</strong> 19 children in our sample with<br />
clinically confirmed ASD, compared to a group of age, sex and IQ-matched controls. For this<br />
analysis, group status (ASD/control) was used as a predictor in linear regression models.<br />
RESULTS<br />
Sample characteristics<br />
Sample characteristics are presented in Table 1.<br />
Table 1. Participant characteristics (n=604)<br />
Child characteristics<br />
n<br />
Gender (% boy) 604 53.0<br />
Ethnicity 604<br />
Dutch 65.2<br />
O<strong>the</strong>r Western 9.3<br />
Non-Western 25.5<br />
Social Responsiveness Scale<br />
Weighted total score 604 0.27 (0.29)<br />
Age at Social Responsiveness Scale (years) 604 6.17 (0.44)<br />
Age at MRI (years) 604 8.02 (1.03)<br />
Non-verbal IQ 554 103.4 (14.1)<br />
Maternal characteristics<br />
Education level (%) 591<br />
High 57.3<br />
Medium 29.5<br />
Low 11.1<br />
Alcohol in pregnancy (%) 563<br />
Never 32.7<br />
Until pregnancy was known 14.9<br />
Continued occasionally 40.7<br />
Continued frequently 11.7<br />
4<br />
Smoking in pregnancy (%) 583<br />
Never 77.4<br />
Until pregnancy was known 6.3<br />
Continued 16.3<br />
Note. Values are mean and SD unless o<strong>the</strong>rwise indicated.<br />
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