Table 6.

Predictors of DBP, multiple regression analyses in women with PCOS (n = 512).

	Model 1 (n = 472)	Model 2 (n = 374)	Model 3 (n = 299)	Model 4 (n = 343)	Model 5 (n = 130)
Age	0.32 (0.14; 0.50) P < 0.001	0.37 (0.17; 0.57) P = 0.004	0.26 (0.05; 0.46) P = 0.01	0.46 (0.25; 0.67) P < 0.001	0.46 (0.16; 0.77) P = 0.003
Waist	0.23 (0.12; 0.34) P < 0.001	0.25 (0.14; 0.38) P = 0.001	0.15 (0.03; 0.29) P = 0.01	0.23 (0.07; 0.38) P = 0.07	0.01 (−0.23; 0.26) P = 0.91
F-Glucose	X	−0.23 (−2.2; 1.8) P = 0.82	X	X	0.11 (−3.0; 3.3) P = 0.94
Cholesterol	X	X	1.9 (0.47; 3.3) (P < 0.001)	X	2.4 (−0.40; 5.2) P = 0.09
T-Testosterone	X	X	X	0.75 (−0.55; 2.0) P = 0.56	0.15 (−0.17; 2.0) P = 0.87
R2	0.15 (P < 0.001)	0.16 (P < 0.001)	0.21 (P < 0.001)	0.23 (P < 0.001)	0.39 (P < 0.001)

Data represent β-coefficients (95% CI) and adjusted R² values. All models were adjusted for country of origin (1: Denmark, 2: Finland, 3: Norway, 4: Sweden), age and, waist circumference. In model 3, 4, 5, additional independent variables included fasting blood glucose (BG), cholesterol, and total testosterone (T-testosterone), as shown in the respective models above. Bold indicates statistical significance.