Table 3. The multivariable regression models of predictive factors of PCS score among post-MI patients

Variables PCS
Model 1 Model 2 Model 3 Model 4 Model 5
Gender (Female) -3.7 -4.7 -4.2 -3.2 -4.0
Age - - - - -
Occupational status - - - - -
Marital status - - -2.7 -2.5 -
Educational status 1.2 - - 1.1 1.3
Economic household - - - - -
BMI - - - - -0.3
Ef - - - - -
Time since AMI onset - - - - -
Hypertension - - - - -
Diabetes - - - - -
Treatment - - - - -
Sitting time (hours) - - - - -
MIPA (minutes) 0.002 0.002 0.002 0.002 0.002
Variables 3 2 3 4 4
R2 0.24 0.22 0.24 0.26 0.25
BIC -25.7 -25.5 -24.9 -24.6 -23.8
Posterior probability 11.7% 10.5% 8% 6.7% 4.5%
Intercept (α) 37.6 42.4 47.7 42.9 45.1
Cumulative posterior probability 0.41
BIC: Bayesian information criterion.
R2 coefficient of determination.
EF: Ejection fraction
BMI: Body mass index
AMI: Acute myocardial infarction.
MIPA: Moderate-intensity physical activity.
PCS: Physical component summary