Table 2.

The linear regression equation: Δbiomarker level = age + race + baseline biomarker + baseline BMI + ΔBMI.

Change (Δ)in biomarker levels	Age	Race	Baseline biomarker level	Baseline BMI	ΔBMI
ΔSHBG	–0.006	– 0.297	0.374	0.017	−0.041
	(0.26)*	(0.06)	(0.002)	(0.16)	(0.01)
ΔC-peptide	–0.002	0.114	0.788	– 0.006	0.025
	(0.57)	(0.30)	(<0.0001)	(0.49)	(0.03)
ΔInsulin	0.001	– 0.043	0.794	–0.010	0.041
	(0.85)	(0.81)	(<0.0001)	(0.43)	(0.02)
ΔIGFBP1	–0.010	0.047	0.620	0.036	− 0.078
	(0.14)	(0.79)	(<0.0001)	(0.006)	(<0.0001)
ΔIGFBP2	–0.014	0.228	– 0.401	0.044	− 0.132
	(0.03)	(0.19)	(0.22)	(0.001)	(<0.0001)
ΔAdiponectin	– 0.004	– 0.039	0.227	0.014	− 0.035
	(0.16)	(0.59)	(0.01)	(0.008)	(<0.0001)
ΔCRP	– 0.005	0.446	0.226	– 0.056	0.061
	(0.48)	(0.02)	(0.18)	(0.0001)	(0.002)
ΔResistin	0.0004	0.023	0.294	–0.013	0.0003
	(0.84)	(0.65)	(<0.0001)	(0.0006)	(0.95)
ΔLeptin	0.001	–0.121	0.518	– 0.059	0.124
	(0.73)	(0.17)	(<0.0001)	(<0.0001 )	(< 0.0001)
ΔIL-1Rα	0.004	0.360	0.458	–0.016	0.023
	(0.27)	(0.0009)	(< 0.0001)	(0.04)	(0.03)
ΔIL-6	–0.0003	– 0.093	0.342	– 0.007	0.020
	(0.94)	(0.34)	(<0.0001)	(0.36)	(0.04)
ΔTNFα	– 0.0005	0.141	0.315	– 0.006	0.002
	(0.88)	(0.11)	(<0.0001)	(0.39)	(0.86)

^*p-Values are in parentheses.