. 2018 Dec 21;9:2650. doi: 10.3389/fpsyg.2018.02650

Table 3.

Summary of hierarchical regression analysis for intelligence measures.

	Intelligence quotient				Crystallized intelligence				Fluid intelligence
	β	p	ΔR²	Model p	β	p	ΔR²	Model p	β	p	ΔR²	Model p
Step 1
Age	-0.08	0.56	0.15	0.10	-0.04	0.78	0.07	0.47	-0.05	0.70	0.18	0.05
Sex	0.43*	0.05			0.33	0.15			0.43*	0.05
Education	0.10	0.48			0.09	0.54			0.09	0.52
% Fat	0.09	0.67			0.11	0.62			-0.03	0.91
Step 2			0.20	0.01			0.23	0.04			0.16	0.02
TMV	-0.29	0.16			-0.21	0.32			-0.30	0.16
RNFL	0.37*	0.03			0.21	0.22			0.46**	<0.01
GCL	0.27	0.19			0.44*	0.05			-0.11	0.96
CFT	0.24^†	0.10			0.24^†	0.11			0.16	0.27

^†p < 0.10; ^∗p < 0.05; ^∗∗p < 0.01. TMV, macular volume; RNFL, retinal nerve fiber layer; GCL, ganglion cell layer; CFT, central foveal thickness; % Fat; whole body adiposity.