Table 5. Regression Models predicting variability in log HOMA-IR and log ISI_(0,120).

Predictors	Model 1: predicting log HOMA-IR				Model 2: predicting log ISI(0,120)
	Coeff.	95% CI		P-value	Coeff.	95% CI		P-value
		Lower	Upper			Lower	Upper
% BW lost	−0.038	−0.058	−0.018	<0.001	0.025	0.015	0.036	<0.001
% BW regained	0.029	0.002	0.056	0.037	−0.031	−0.045	−0.016	<0.001
Light activity(min per day)	−0.003	−0.006	−0.001	0.048
Vigorous activity (min per day)	−0.033	−0.061	−0.005	0.023	0.015	0.001	0.029	0.043
% BF	0.019	−0.002	0.040	0.073
RQ ratio	4.223	1.326	7.120	0.005	−1.823	−3.372	−0.275	0.022
WHR					−1.273	−2.814	0.268	0.103
Constant	−2.406	−4.589	−0.222	0.032	6.499	4.914	8.084	<0.001
Observations:	50				50
R2 (adjusted R2)	0.614 (0.560)				0.597 (0.551)
P-value	<0.001				<0.001

Abbreviations: %BF, % body fat; %BW, % body weight; CI, confidence interval; Coeff., coefficient; HOMA-IR, Homeostatic Model Assessment; ISI, insulin sensitivity index; RQ, respiratory quotient; WHR, waist-to-hip ratio.