Abstract:
Overweight/obesity is a complex multifactorial chronic disorder, and the American Heart
Association (AHA) has recently classified as a modifiable risk factor for coronary heart disease
(CAD). This study (1) evaluates the association between CAD in a patient population mostly
overweight (MOP) and conventional and novel coronary risk factors by using univariate and
multivariate logistic regression analysis and (2) seeks to find the best model by comparing
univariate and multivariate logistic regression analysis algorithms, which were systematically
applied to risk factors by using Hosmer-Lemeshow statistic test. In univariate analysis, there
were significant associations between CAD in MOP and conventional and novel risk factors.
However, the model’s sensitivity, specificity, and accuracy levels were weak. In multivariate
analysis, although some risk factors were not found as predictors of coronary artery disease,
the model showed good fit to data and had high sensitivity, specificity, and accuracy levels.
This was also confirmed by using the Hosmer-Lemeshow goodness of fit test, more specifically.
