Table 2.
Predictor variables | Longitudinal strain, %
|
Circumferential strain, %
|
||
---|---|---|---|---|
Estimated β (SE) | P-value | Estimated β (SE) | P-value | |
Age, years | −0.42 (0.12) | 0.0006 | ||
Female gender | −1.92 (0.13) | <0.0001 | −2.87 (0.24) | <0.0001 |
Body mass index, kg/m2 | ||||
SBP, mmHg | ||||
DBP, mmHg | 0.20 (0.06) | 0.002 | ||
Antihypertensive therapy | −1.07 (0.25) | <0.0001 | ||
Diabetes | 0.70 (0.18) | 0.0001 | ||
Total/HDL cholesterol ratio | 0.34 (0.06) | <0.0001 | ||
Log triglycerides | ||||
Current smoker | ||||
Heart rate, b.p.m. | 0.76 (0.06) | <0.0001 | 1.25 (0.12) | <0.0001 |
Prevalent CVD | 1.69 (0.17) | <0.0001 | 2.75 (0.35) | <0.0001 |
Log C-reactive protein | ||||
Model R2 | 0.190 | 0.115 |
CVD, cardiovascular disease; DBP, diastolic blood pressure; SBP, systolic blood pressure.
In multivariable analyses, covariates included in model selection were determined using the Schwarz Bayesian criterion. Beta coefficients represent the estimated change in the dependent variable (strain measure) per 1 – SD change in the independent (continuous) variable or presence vs. absence of the independent (categorical) variable.