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Updated: Jan 24, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
DIETARY PATTERNS AND THEIR ASSOCIATION WITH OBESITY: A CROSS-SECTIONAL STUDY
1"Iuliu Hatieganu" University of Medicine and Pharmacy - Diabetes, Nutrition, Metabolic diseases, Cluj-Napoca, Romania.
Context:
Scarce data on dietary habits in Eastern European countries is available and reports investigated individual food items and not dietary patterns in these populations.
Objective:
To identify dietary patterns and to explore their association with obesity in a sample from Romanian population.
Design:
Cross-sectional.
Subjects And Methods:
This was an analysis of data collected from 1398 adult participants in ORO study. Data on lifestyle, eating habits and food frequency consumption were collected.
Results:
By principal component analysis we identified 3 dietary patterns explaining 31.4% of the diet variation: High meat/High fat pattern, Western pattern and Prudent pattern. High meat/High fat pattern was associated with male gender, lower educational level, living in a rural, smoking and a higher probability for the presence of obesity (OR 1.2 [95%CI: 1.1-1.4]). Western pattern was associated with younger age, a higher level of physical activity and smoking. Prudent pattern was associated with older age, female gender, a higher level of physical activity, not smoking status and a lower probability for the presence of obesity (OR 0.8 [95%CI: 0.7-0.9]).
Conclusions:
This study provides for the first-time information on the association between dietary patterns in adults from an Eastern European country and the presence of obesity.
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