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Table 2 Association of brain ultrasound measures with Q-CHAT score

From: Fetal brain growth and infant autistic traits

 

Weeks of gestation

 

12 weeks

20 weeks

28 weeks

 

Effect size

p

Effect size

p

Effect size

p

Head circumference

     

Model 1

r = 0.008

p = 0.928

r = 0.105

p = 0.172

r = 0.182

p = 0.015

Model 2 (adjusted)

r = 0.136

p = 0.114

r = 0.02

p = 0.79

r = 0.211

p = 0.005

Model 3 (multiple)

r = 0.140

p = 0.109

r = 0.07

p = 0.407

r = 0.24

p = 0.003

 

Model 3 R2 = 0.010

Model 3 R2 = − 0.005

Model 3 R2 = 0.056

Transcerebellar diameter

Model 1

 

r = 0.233

p = 0.003

r = 0.157

p = 0.044

Model 2 (adjusted)

r = 0.162

p = 0.039

r = 0.111

p = 0.158

Model 3 (multiple)

r = 0.17

p = 0.034

r = 0.13

p = 0.133

 

Model 3 R2 = 0.021

Model 3 R2 = 0.024

Ventricular atrium

Model 1

 

β = 0.093

p = 0.242

r = − 0.01

p = 0.898

Model 2 (adjusted)

β = 0.110

p = 0.167

r = − 0.03

p = 0.724

Model 3 (multiple)

r = 0.08

p = 0.311

r = − 0.08

p = 0.376

 

Model 3 R2 = − 0.002

Model 3 R2 = 0.02

  1. Model 1: Pearson’s correlation of ultrasound measures with Q-CHAT scores. Model 2: Pearson’s correlation of z-scores of ultrasound measures (previously adjusted for GA at the time of measurement) with Q-CHAT scores. Model 3: Multiple linear regression of brain ultrasound parameter z-scores (adjusted for GA) to Q-CHAT scores, with infant sex, maternal age and birth weight as added covariates. Effect size of brain ultrasound measure is either Pearson’s r or the semi-partial correlation coefficient β of the multiple regression model. R2 refers to the variance captured by the entire model as adjusted by the number of covariates