Table 3. Hierarchical linear regression models with EAT-26 total score as the outcome.

	Step 1				Step 2				Step 3				Step 4
	Unstandardised coefficients		Standardised coefficients		Unstandardised coefficients		Standardised coefficients		Unstandardised coefficients		Standardised coefficients		Unstandardised coefficients		Standardised coefficients
	B	95% CI	β	P	B	95% CI	β	p	B	95% CI	β	p	B	95% CI	β	p
(Constant)	10.448	9.806, 11.091		< 0.001	6.397	3.360, 9.434		< 0.001	5.406	2.366, 8.446		0.001	5.755	2.675, 8.835		< 0.001
AQ total score	0.224	0.147, 0.302	0.173	< 0.001	0.514	0.307–0.720	0.397	< 0.001	0.393	0.182, 0.605	0.304	< 0.001	0.351	0.134, 0.568	0.271	0.002
Sex					1.628	-1.172, 4.429	0.074	0.254	1.342	-1.454, 4.138	0.061	0.347	0.842	-2.022, 3.705	0.038	0.564
AQ*Sex					-0.230	-0.359, -0.101	-.365	< 0.001	-0.191	-0.321, -0.062	-0.304	0.004	-0.170	-0.304, -0.036	-0.270	0.013
Age					-0.041	-0.088, 0.006	-0.045	0.090	-0.030	-0.077, 0.018	-0.033	0.216	-0.029	-0.076, 0.019	-0.032	0.238
BMI					0.003	-.0.080, 0.085	0.002	0.946	0.015	-0.066, 0.097	0.010	0.713	0.014	-0.068, 0.095	0.009	0.745
Over-evaluation					2.661	2.361, 2.961	0.483	< 0.001	2.479	2.169, 2.790	0.450	< 0.001	2.446	2.132, 2.759	0.444	< 0.001
Anxiety									0.290	0.147, 0.433	0.118	< 0.001	0.243	0.081, 0.405	0.099	0.003
AQ*anxiety									0.020	0.005, 0.035	0.069	0.007	0.030	0.011, 0.048	0.102	0.002
Depression													0.127	-0.064, 0.318	0.043	0.193
AQ*Depression													-0.019	-0.041, 0.003	-0.054	0.097
Model fit	F (1, 1045) = 32.344, p < 0.001				F (6, 1040) = 88.912, p < 0.001				F (8, 1038) = 70.860, p < 0.001				F (10, 1036) = 57.174, p < 0.001
R 2	0.030				0.339				0.353				0.356
Δ R2					0.309				0.014				0.003
Adjusted R2	0.029				0.335				0.348				0.350
Δ Adjusted R2					0.306				0.013				0.002
F change					F (5, 1040) = 97.247, p < 0.001				F (2, 1038) = 11.379, p < 0.001				F (2, 1036) = 1.926, p = 0.146

Note. AQ Autism Spectrum Quotient, BMI Body Mass Index, Over-evaluation, over-evaluation of weight and shape.