TABLE 4.

FROM:

High Visceral Fat Mass and High Liver Fat Are Associated with Resistance to Lifestyle Intervention

Claus Thamer, Juergen Machann, Norbert Stefan, Michael Haap, Silke Schäfer, Sonja Brenner, Konstantin Kantartzis, Claus Claussen, Fritz Schick, Hans Haring and Andreas Fritsche

Table 4.. Predictors of change in insulin sensitivity

	Independent variable: relative change in insulin sensitivity at follow-up (estimated from OGTT)
	Model 1 (r 2 = 0.39, p < 0.0001)				Model 2 (r 2 = 0.48, p < 0.0001)				Model 3 (r 2 = 0.49, p < 0.0001)
Independent variable	coefficient	SE	t-ratio	p	coefficient	SE	t-ratio	p	coefficient	SE	t-ratio	p
Change in VAT (% body weight, baseline)	- 0.70	0.20	- 3.5	0.001					- 0.35	0.21	- 1.65	0.10
VAT (% body weight, baseline)	- 0.28	0.11	- 2.55	0.01					- 0.13	0.11	- 1.09	0.28
Change in LF (% signal, baseline)					- 0.31	0.07	- 4.23	<0.0001	- 0.23	0.06	- 4.02	0.0001
LF (% signal, baseline)					- 0.17	0.04	- 4.25	<0.0001	- 0.14	0.05	- 3.08	0.003
Sex	- 0.16	0.04	- 4.0	0.0003	- 0.11	0.04	- 2.75	0.002	- 0.13	0.04	- 3.08	0.003
Age	0.19	0.16	1.19	0.25	0.04	0.13	0.31	0.75	0.14	0.15	0.90	0.38
Insulin sensitivity (baseline)	- 0.38	0.07	- 5.81	<0.0001	- 0.45	0.07	- 6.43	<0.0001	- 0.46	0.07	- 6.65	<0.0001
Follow-up time	- 0.38	0.16	2.38	0.02	- 0.39	0.15	- 2.6	0.02	- 0.41	0.15	- 2.77	0.01

 All continuous variables except change in VAT were log-transformed to approximate normal distribution