Major dietary patterns and metabolic syndrome associated with severity of coronary artery disease: A structural equation modeling

Abstract

Background:

The association of dietary patterns and metabolic syndrome with the severity of coronary artery disease (CAD) is little known.

Aim:

This study aimed to explore the relationship between major dietary patterns and the severity of CAD among newly discovered patients by using structural equation modeling (SEM).

Methods:

In this cross-sectional study, we included 423 newly diagnosed patients with CAD, aged 35–65 years, who underwent coronary angiography. The severity of CAD was assessed by the Gensini score. All patients were tested by using a semi-quantitative food frequency questionnaire, international physical activity questionnaire, perceived stress scale, lipid profile, fasting blood glucose, and anthropometric and blood pressure measurements. Statistical analysis was performed using SPSS and AMOS version 24.

Results:

Two dietary patterns (DPs) were identified by principal components analysis and labeled as “unhealthy DP” and “healthy DP”. The results of SEM analysis showed that the unhealthy DP has a significant positive direct association with the severity of CAD (β=0.304, p<0.001), which is indirectly mediated by the presence of metabolic syndrome (β=0.021, p=0.021), adjusted for age and perceived stress scale. However, healthy DP has a significant negative direct association with the Gensini score (β=-0.213, p<0.001), and an indirect association through negative metabolic syndrome (β=-0.019, p=0.022), controlled for gender, physical activity, and perceived stress scale.

Conclusions:

The severity of CAD was directly associated with the unhealthy DP and indirectly mediated by the presence of the metabolic syndrome, while a healthy DP had a direct inverse association with CAD severity and indirectly mediated by the absence of metabolic syndrome.