Dietary survey in Hungary, 2003-2004

• Published in: Orvosi hetilap Vol. 146; no. 34; p. 1781
• Main Authors: Rodler, Imre, Bíró, Lajos, Greiner, Erika, Zajkás, Gábor, Szórád, Ildikó, Varga, Anna, Domonkos, Andrea, Agoston, Helga, Balázs, Anikó, Mozsáry, Erzsébet, Vitrai, József, Hermann, Dóra, Boros, Julianna, Németh, Renáta, Kéki, Zsuzsanna
• Format: Journal Article
• Language: Hungarian
• Published: Hungary 21.08.2005
• Subjects: Adult; Aged; Body Mass Index; Cholesterol, Dietary - administration & dosage; Cross-Sectional Studies; Diet Surveys; Dietary Carbohydrates - administration & dosage; Dietary Fats - administration & dosage; Dietary Fats, Unsaturated - administration & dosage; Dietary Sucrose - administration & dosage; Energy Intake; Female; Humans; Hungary; Male; Middle Aged; Overweight; Sex Distribution; Hungary
• ISSN: 0030-6002

The third Hungarian national dietary survey was conducted in 2003-2004. This publication describes the first part of the energy and nutrient intake findings in a sample consisting of a population of 1179 persons over 19 years of age (energy and macro nutrients). Energy and nutrient intake values were calculated based on 3 x 24- hour dietary records filled out by the subjects themselves. The authors evaluated the results in light of the two previous dietary surveys in Hungary and the Hungarian and international reference intake data. The total fat intake found in this survey lower than the previous data marks a favourable development, just as the higher unsaturated fatty acid and lower saturated fatty acid energy percent, and furthermore the lower cholesterol intake level. The favourable developments include further a polyunsaturated/saturated fatty acid ratio considerably higher than that obtained earlier (the values conforming to the international reference data), a higher carbohydrate energy percentage, as well as lower added sugar energy percentage, this latter being in the recommended range. The overweight ratio in men was 58.9%, while the female value was 49.5%, not much different from the previous survey data.