Related Experiment Video
Updated: Jan 10, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
Dietary and lifestyle factors associated with cardiovascular disease risk: a structural equation modeling approach
Faramarz Amini1,2, Reza Pakzad2, Kourosh Sayehmiri3
1Faculty of Health, Research Committee, Ilam University of Medical Sciences, Ilam, Iran.
Background:
Cardiovascular diseases (CVDs), resulting from complex interactions among socioeconomic, behavioral, and dietary factors, remain a major global health challenge. This study utilized structural equation modeling (SEM) to assess the direct and indirect effects of these factors on CVD risk, with dietary indices-the Dietary Insulin Index (DII) and Dietary Glycemic Index (DGI)-acting as mediators, in a population from western Iran.
Methods:
A cross-sectional analysis was conducted on 3,452 adults aged 35-70 years from the Dehgolan Prospective Cohort Study (DehPCS). Data collected included anthropometric measurements, socioeconomic status, lifestyle behaviors, chronic diseases, and dietary indices (DII and DGI). SEM was employed to examine pathways linking latent variables (socioeconomic status, personal habits, and chronic diseases) and mediators (DII, DGI) to CVD risk. Model fit was evaluated using the Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA), and χ² statistics.
Results:
The model accounted for 11% of the variance in CVD risk (R² = 0.11). Higher socioeconomic status directly reduced CVD risk (β = -0.28, p < 0.001) and chronic disease burden (β = -0.21, p = 0.002). Favorable personal habits, including physical activity and adequate sleep, were associated with reduced CVD risk (β = -0.27, p < 0.001). Conversely, higher DII increased CVD risk (β = 0.15, p < 0.001), while higher DGI was associated with a modest reduction in risk (β = -0.03, p < 0.001). Indirectly, socioeconomic status (β = 0.086, p = 0.001), personal habits (β = 0.035, p = 0.001), and chronic diseases (β = 0.047, p = 0.001) influenced CVD risk through dietary patterns.
Conclusion:
Dietary quality mediates the relationship between lifestyle, chronic conditions, and CVD risk, with socioeconomic disparities and chronic diseases amplifying this risk. Public health interventions should focus on promoting healthy dietary habits and ensuring equitable access to nutritious foods to mitigate cardiovascular risk.
Related Concept Videos
Coronary Artery Disease I: Introduction
Lifestyle Factors and Health
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Atherosclerosis III: Management
Coronary Artery Disease IV: Preventive Measures
Psychoneuroimmunology: Cardiovascular Disease
A key area of focus in PNI is the relationship between stress and coronary...
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...

