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. 2019 Jan-Mar;-5(1):86-95.
doi: 10.4183/aeb.2019.86.

DIETARY PATTERNS AND THEIR ASSOCIATION WITH OBESITY: A CROSS-SECTIONAL STUDY

G Roman  1 , A Rusu  1 , M Graur  2   3 , G Creteanu  4 , M Morosanu  5 , G Radulian  6   7 , P Amorin  8 , R Timar  9 , L Pircalaboiu  10 , C Bala  1
Affiliations

DIETARY PATTERNS AND THEIR ASSOCIATION WITH OBESITY: A CROSS-SECTIONAL STUDY

G Roman et al. Acta Endocrinol (Buchar). 2019 Jan-Mar.

Abstract

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.

Keywords: dietary pattern; general population; physical activity; principal component analysis.

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Conflict of interest statement

All authors declare that they received fees from the Coca-Cola Foundation through Research Consulting Association for the conduct of the study. All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study was approved by the National Bioethics Committee for Medicine and Medical Devices. All participants signed an informed consent before any study procedure.

Figures

Figure 1.
Figure 1.
STROBE diagram showing participants flow. N, number of participants.
Figure 2.
Figure 2.
Scree plot for identification of dietary patterns by principal component analysis.
See this image and copyright information in PMC

References

    1. Cespedes EM, Hu FB. Dietary patterns: from nutritional epidemiologic analysis to national guidelines. Am J Clin Nutr. 2015;101(5):899–900. - PMC - PubMed
    1. Schulze MB, Hoffmann K. Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke. Br J Nutr. 2006;95(5):860–869. - PubMed
    1. Moeller SM, Reedy J, Millen AE, Dixon LB, Newby PK, Tucker KL, Krebs-Smith SM, Guenther PM. Dietary patterns: challenges and opportunities in dietary patterns research an Experimental Biology workshop, April 1, 2006. J Am Diet Assoc. 2007;107(7):1233–1239. - PubMed
    1. Mertens E, Markey O, Geleijnse JM, Givens DI, Lovegrove JA. Dietary Patterns in Relation to Cardiovascular Disease Incidence and Risk Markers in a Middle-Aged British Male Population: Data from the Caerphilly Prospective Study. Nutrients. 2017;9(1) pii: E75. - PMC - PubMed
    1. Heidemann C, Schulze MB, Franco OH, van Dam RM, Mantzoros CS, Hu FB. Dietary patterns and risk of mortality from cardiovascular disease, cancer, and all causes in a prospective cohort of women. Circulation. 2008;118(3):230–237. - PMC - PubMed

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