Table 4. The multivariable regression models of predictive factors of MCS score among post-MI patients

Variables PCS
Model 1 Model 2 Model 3 Model 4 Model 5
Gender (Female) - - - - -
Age - - 0.07 0.07 -
Occupational status - - - - -
Marital status - - - - -
Educational status - - - - -
Economic household 9.8 10.1 9.7 10.0 9.7
BMI - - - -
Ef - 2.0 - 2.1 -
Time since AMI onset - - - - -
Hypertension - - - - -2.1
Diabetes - - - - -
Treatment - - - - -
Sitting time (hours) 1.4 1.5 1.4 1.5 1.5
MIPA (minutes) 0.004 0.004 0.003 0.003 0.003
Variables 3 4 3 5 4
R2 0.21 0.24 0.23 0.24 0.22
BIC -20.3 -19.7 -17.3 -17.1 -16.7
Posterior probability 25% 19% 5.6% 5.2% 4.2%
Intercept (α) 10.9 15.3 16.2 12.3 20
Cumulative posterior probability 0.59
BIC: Bayesian information criterion.
R2 coefficient of determination.
EF: Ejection fraction
BMI: Body mass index
AMI: Acute myocardial infarction.
MIPA: Moderate-intensity physical activity.
MCS: Mental component summary