Table 2.

Results of Linear Regression With FABP4 as the Dependent Variable in Multiple Imputation Models.

Variable	Crude Est.	Adj. Est.	2.5%	97.5%	Adj. P Value
Age	−0.35	0.169	–0.355	0.693	.521
BMI	1.64	1.610	0.851	2.370	.001***
Gender (male)	–19.34	–17.201	–26.052	–8.349	.001***
HKAA	0.26	–0.372	–1.411	0.666	.521
Lequesne index	1.25	0.858	–0.416	2.131	.425
No metabolic syndrome	–8.49	–3.871	–12.659	4.916	.521

The model was adjusted for the age, gender, BMI, HKAA, and metabolic syndrome. P values are adjusted. There is a significant positive association of FABP4 levels and BMI and female gender. Crude est. = crude estimate; Adj. est. = adjusted estimate; 2.5% and 97.5% = 2.5% and 97.5% confidence intervals; no metabolic syndrome = patient did not meet metS criteria as outlined in the text; FABP4 = fatty acid binding protein 4; BMI = body mass index; HKAA = hip-knee-ankle angle.