Cristina Julián-Almárcegui1,2, Silvia Bel-Serrat2, Mathilde Kersting3, German Vicente-Rodriguez1, Genevieve Nicolas2, Krishna Vyncke4, Carine Vereecken4, Willem De Keyzer4, Laurent Beghin5, Stefania Sette6, Lena Halström7, Eva Grammatikaki8, Marcela Gonzalez-Gross9, Sandra Crispim10, Nadia Slimani2, Luis Moreno1, Stefaan De Henauw1, Inge Huybrechts11,12. 1. Growth, Exercise, NUtrition and Development (GENUD) Research Group, University of Zaragoza, Saragossa, Spain. 2. Dietary Exposure Assessment Group, International Agency for Research on Cancer, World Health Organization, 150 Cours Albert Thomas, 69372, Lyon Cedex 08, France. 3. Research Institute of Child Nutrition, Rheinische Friedrich-Wilhelms-University Bonn, Dortmund, Germany. 4. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. 5. CIC-PT-9301-Inserm-CH&U of Lille, CHRU de Lille, 59037, Lille, France. 6. National Research Institute for Food and Nutrition (INRAN), Rome, Italy. 7. Department of Biosciences and Nutrition at NOVUM, Karolinska Institute, Huddinge, Sweden. 8. Department of Nutrition and Dietetics, Harokopio University, Athens, Greece. 9. Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences-INEF, Technical University of Madrid, Madrid, Spain. 10. Nutrition and Health Department, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil. 11. Dietary Exposure Assessment Group, International Agency for Research on Cancer, World Health Organization, 150 Cours Albert Thomas, 69372, Lyon Cedex 08, France. Inge.huybrechts@ugent.be. 12. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. Inge.huybrechts@ugent.be.
Abstract
PURPOSE: The European "Healthy Lifestyle in Europe by Nutrition in Adolescence" (HELENA) project evaluated two different approaches to harmonize the matching procedures between 24-h recall data and food composition databases. In the first approach, the 24-h recall data were linked to the local/national food composition databases using standardized procedures, while in the second approach, the 24-h recall data were linked to the German BLS database which includes a larger food list. The aim of this paper was to compare the intakes of energy and eight nutrient components calculated via both approaches. METHODS: Two non-consecutive 24-h recalls were performed in 1268 adolescents. Energy, carbohydrates, proteins, fat, fiber, water, alcohol, calcium and vitamin C were calculated via the two approaches at individual level. Paired samples t test and Pearson's correlations were used to compare the mean intakes of energy and the eight mentioned nutrients and to investigate the possible associations between the two approaches. RESULTS: Small but significant differences were found between the intakes of energy and the eight food components when comparing both approaches. Very strong and strong correlations (0.70-0.95) were found between both methods for all nutrients. CONCLUSION: The dietary intakes obtained via the two different linking procedures are highly correlated for energy and the eight nutrients under study.
PURPOSE: The European "Healthy Lifestyle in Europe by Nutrition in Adolescence" (HELENA) project evaluated two different approaches to harmonize the matching procedures between 24-h recall data and food composition databases. In the first approach, the 24-h recall data were linked to the local/national food composition databases using standardized procedures, while in the second approach, the 24-h recall data were linked to the German BLS database which includes a larger food list. The aim of this paper was to compare the intakes of energy and eight nutrient components calculated via both approaches. METHODS: Two non-consecutive 24-h recalls were performed in 1268 adolescents. Energy, carbohydrates, proteins, fat, fiber, water, alcohol, calcium and vitamin C were calculated via the two approaches at individual level. Paired samples t test and Pearson's correlations were used to compare the mean intakes of energy and the eight mentioned nutrients and to investigate the possible associations between the two approaches. RESULTS: Small but significant differences were found between the intakes of energy and the eight food components when comparing both approaches. Very strong and strong correlations (0.70-0.95) were found between both methods for all nutrients. CONCLUSION: The dietary intakes obtained via the two different linking procedures are highly correlated for energy and the eight nutrients under study.
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