Table 3 Models with BDI as dependent variable.

From: Alexithymia traits outweigh autism traits in the explanation of depression in adults with autism

Predictors ASD+  ASD−
β SEadj GDW LL, UL β SE GDW LL, UL
Age 0.184 0.061 0.042 0.007, 0.094 0.013 0.079 0.003 0.001, 0.042
Sex 0.147 1.294 0.016 0.003, 0.044 0.164 2.067 0.015 0.001, 0.085
PIQ 0.030 0.043 0.004 0.001, 0.020  − 0.061 0.080 0.020 0.002, 0.080
VIQ  − 0.038 0.045 0.002 0.001, 0.015  − 0.199 0.077 0.032 0.004, 0.121
AQ  − 0.006 0.137 0.020 0.009, 0.049 0.195 0.199 0.019 0.002, 0.078
DIF 0.369 0.136 0.116 0.062, 0.173 0.354 0.187 0.068 0.012, 0.144
DDF 0.064 0.194 0.029 0.014, 0.059  − 0.302 0.313 0.024 0.005, 0.114
EOT  − 0.079 0.129 0.003 0.001, 0.037 0.017 0.197 0.002 0.001, 0.049
R2    0.232     0.183  
  1. Models for ASD+ (N = 281) and ASD− (N = 119) samples. Standardized regression coefficients (β) with standard errors (SE) or HCCM-adjusted errors (SEadj). General dominance weights (GDW) retrieved by dominance analysis with lower limits (LL) and upper limits (UL) of bootstrapped confidence intervals. Strongest predictor in each model in bold.