Table 3.

Logistic regression analysis showing baseline FGF19 concentrations independently associated with the subAS at year 3 in men.

	Simple		Multiple
	OR (95%CI)	P	OR (95%CI)	P
FGF19 (per 1-SD increase)	3.221 (1.500–6.918)	0.003	4.798 (1.680–13.706)	0.003
Age	1.049 (0.977–1.127)	0.183	1.072 (0.964–1.192)	0.200
BMI	0.768 (0.584–1.010)	0.059	0.814 (0.587–1.129)	0.218
Smoking	1.344 (0.260–6.962)	0.724	7.104 (0.432–113.944)	0.171
Alcohol consumption	1.167 (0.348–3.911)	0.803	0.250 (0.028–2.258)	0.217
HbA1c	1.071 (0.814–1.409)	0.626	1.123 (0.735–1.715)	0.592
Presence of hypertension	2.292 (0.633–8.299)	0.207	9.118 (1.212–68.611)	0.032
Presence of dyslipidemia	1.196 (0.229–6.254)	0.832	0.797 (0.112–5.658)	0.218

Variables included in the multiple logistic regression model are FGF19 (per 1-SD increase), age, BMI, HbA1c, smoking, alcohol consumption, presence of hypertension, and dyslipidemia.

BMI, body mass index; HbA1c, hemoglobin A1c; SBP, systolic blood pressure; DBP, diastolic blood pressure; FGF19, fibroblast growth factor 19; SD, standard deviation; subAS, subclinical atherosclerosis.