Table 3.

Model Fit (AICc) for three sets of models: (1) Visceral Fat and Total Body Fat (2) Body Mass Index and (3) Waist Circumference

	VF&TBF	BMI	WC
Executive Functioning
Processing Speed
Automatic Detection Speed	8613.81◆◆◇◇	8974.67	8911.62▽▽
Controlled Detection Speed	7875.24◆◆◇◇	8194.38	8139.37▽▽
Symbol Search	5731.07◆◆◇◇	5963.07	5910.59▽▽
Coding	7074.15◆◆◇◇	7367.21	7314.78▽▽
Working Memory
Digit-span Forwards	3775.08◆◆◇◇	3922.47	3894.45▽▽
Digit-span Backwards	3717.40◆◆◇◇	3859.98	3821.49▽▽
Self-ordered Pointing	4564.00◆◆◇◇	4759.36	4723.46▽▽
Resistance to Interference
Stroop Interference	6046.06◆◆◇◇	6319.31	6277.93▽▽
Verbal Fluency
Semantic Fluency	6658.93◆◆◇◇	6934.12	6883.11▽▽
Phonemic Fluency	6360.60◆◆◇◇	6619.22	6572.32▽▽
Memory
Visuo-spatial Memory
Dot-location Learning	663.99	669.04	666.40
Dot-location Short-delay	806.74◆◇	823.64	821.05
Dot-location Long-delay	148.03	133.63	135.11
Verbal Memory
Stories Immediate	7447.40◆◆◇◇	7755.96	7703.35▽▽
Stories Delayed	7450.23◆◆◇◇	7761.72	7705.53▽▽
Stories Recognition	4444.01◆◆◇◇	4620.77	4589.54▽▽

VF= Visceral Fat; TBF=Total Body Fat; BMI = Body Mass Index; WC = Waist Circumference

Model fit was estimated using Hurvich and Tsai’s Criterion (AICc).³⁵ Smaller values indicate better fit.

Likelihood ratio tests ³⁵ were computed to assess whether the models with smaller AICc have significantly better fit.

VF&TBF model fits the data better than BMI model, ◆◆p<0001 ◆p<.001

VF&TBF model fits the data better than WC model, ◇ ◇p<.0001 ◇p<.001

WC model fits the data better than BMI model, ▽▽p<.0001