Table 2.
Final linear regression model for predicting the impact of clinical predictors on the percentage mammographic density (PMD).a Regression coefficients with 95% confidence intervals (CIs) and P values are shown
| Coefficient (95% CI) | P value | |
|---|---|---|
| Baseline | 132.68 (109.89, 155.47) | <0.001 |
| Calcium level adjusted to albumin | −11.37 (−21.23, −1.51) | 0.024 |
| Body mass index (kg/m2) | −1.63 (−1.82, −1.44) | <0.001 |
| Age (years) | −0.37 (−0.48, −0.26) | <0.001 |
| Menopausal status | ||
| (reference), premenopausal | – | – |
| Perimenopausal/postmenopausal | −6.55 (−9.80, −3.30) | <0.001 |
a
For example, for a 50‐year‐old perimenopausal women with a body mass index of 28 and calcium level of 2.5 mmol/L, the predicted percentage mammographic density is as follows: PMD = 132.68 + 2.5x(−11.37) + 50x(−0.37) + 28x(−1.63) + 1x(−6.55) = 33.57.