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. 2021 Jan 12;13:235–245. doi: 10.2147/CMAR.S286269

Table 3.

Multivariate Analysis for Prediction Models Based on Age Group and Menopausal Status

Features P valuea OR1 (95% CI) P valueb OR2 (95% CI)
Quantity Single /
Multiple unilateral 0.002* 0.52 (0.34, 0.79) 0.026* 0.58 (0.36, 0.94)
Multiple bilateral <0.001* 0.28 (0.20, 0.40) <0.001* 0.25 (0.17, 0.37)
Distribution Grouped /
Segmental <0.001* 9.6 (6.8, 13.6) <0.001* 6.0 (3.4, 10.5)
Regional 0.002* 2.1 (1.3, 3.3) 0.158 1.6 (0.84, 3.0)
MD <0.001* 1.05 (1.04, 1.06) 0.017* 1.02 (1.00,1.03)
Age group <40 /
40–49 0.43 0.86 (0.60, 1.2) 0.316 0.8 (0.5, 1.2)
50–59 0.599 1.1 (0.74, 1.69) 0.759 1.1 (0.67,1.7)
≥60 0.013* 2.0 (1.2, 3.4) 0.036* 1.9 (1.05,3.6)
Menopausal status <0.001* 2.0 (1.5, 2.7) <0.001* 1.9 (1.4, 2.7)

Notes: aMultivariate analysis result for prediction model based on age group, bMultivariate analysis result for prediction model based on menopausal status; MD Maximum diameters of the group of calcifications. *P < 0.05 was considered statistically significant.