Vanessa Jaeger1, Berthold Koletzko2, Veronica Luque3,4, Natàlia Ferré3, Dariusz Gruszfeld5, Kinga Gradowska5, Elvira Verduci6, Gian Vincenzo Zuccotti6, Annick Xhonneux7, Pascale Poncelet8, Veit Grote1. 1. Division of Metabolic and Nutritional Medicine, Department of Paediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, LMU - Ludwig-Maximilians-Universität Munich, Lindwurmstr. 4, 80337, Munich, Germany. 2. Division of Metabolic and Nutritional Medicine, Department of Paediatrics, Dr. von Hauner Children's Hospital, LMU University Hospitals, LMU - Ludwig-Maximilians-Universität Munich, Lindwurmstr. 4, 80337, Munich, Germany. berthold.koletzko@med.uni-muenchen.de. 3. Paediatrics Research Unit, Universitat Rovira I Virgili, IISPV, Reus, Spain. 4. Serra Hunter Fellow, Universitat Rovira I Virgili, IISPV, Reus, Spain. 5. Neonatal Department and Neonatal Intensive Care Unit, Children's Memorial Health Institute, Warsaw, Poland. 6. Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy. 7. Centre Hospitalier Chretien St. Vincent, Rocourt, Liège‑Rocourt, Belgium. 8. Department of Paediatrics, University Children's Hospital, Queen Fabiola, Université Libre de Bruxelles, Brussels, Belgium.
Abstract
PURPOSE: We aimed to characterize the distribution of energy and macronutrient intakes across eating occasions (EO) in European children from preschool to school age. METHODS: Data from 3-day weighed food records were collected from children at ages 3, 4, 5, 6 and 8 years from Belgium, Germany, Italy, Poland and Spain. Food intakes were assigned to EO based on country-specific daytimes for breakfast, lunch, supper and snacks (morning, afternoon). The average energy and nutrient intakes were expressed as percentage of total energy intake (%E). Nutrients were additionally expressed as percentage per EO (%EEO). Foods were assigned to food groups; variation in intake was calculated via coefficient of variation (CV). We analyzed age trends in diurnal intake using mixed-effects beta regression. RESULTS: The 740 healthy children included in the analysis consumed the largest proportion of daily energy at lunch (31%E ± 8, M ± SD) and supper (26%E ± 8), followed by breakfast (19%E ± 7) and snacks [afternoon (16%E ± 8); morning (8%E ± 7)], with the most variable intake at morning snack (CV = 0.9). The nutrient composition at lunch and supper was highest for fat (36 ± 9%ELunch; 39 ± 11%ESupper) and protein (18 ± 5%ELunch; 18 ± 6%ESupper) and at breakfast and snacks for carbohydrates (54 ± 12%EBreakfast; 62 ± 12%ESnacks). High-sugar content foods were consumed in relatively large proportions at breakfast and snacks. Food intakes varied significantly with age, with lower snack intakes at later ages (p < 0.001). CONCLUSION: Possibly unhealthy EOs with high-fat intakes and high-sugar-content foods were observed. Changes in nutrient composition of EOs may be beneficial for health. TRIAL REGISTRY: ClinicalTrials.gov: NCT00338689; 19/June/2006.
PURPOSE: We aimed to characterize the distribution of energy and macronutrient intakes across eating occasions (EO) in European children from preschool to school age. METHODS: Data from 3-day weighed food records were collected from children at ages 3, 4, 5, 6 and 8 years from Belgium, Germany, Italy, Poland and Spain. Food intakes were assigned to EO based on country-specific daytimes for breakfast, lunch, supper and snacks (morning, afternoon). The average energy and nutrient intakes were expressed as percentage of total energy intake (%E). Nutrients were additionally expressed as percentage per EO (%EEO). Foods were assigned to food groups; variation in intake was calculated via coefficient of variation (CV). We analyzed age trends in diurnal intake using mixed-effects beta regression. RESULTS: The 740 healthy children included in the analysis consumed the largest proportion of daily energy at lunch (31%E ± 8, M ± SD) and supper (26%E ± 8), followed by breakfast (19%E ± 7) and snacks [afternoon (16%E ± 8); morning (8%E ± 7)], with the most variable intake at morning snack (CV = 0.9). The nutrient composition at lunch and supper was highest for fat (36 ± 9%ELunch; 39 ± 11%ESupper) and protein (18 ± 5%ELunch; 18 ± 6%ESupper) and at breakfast and snacks for carbohydrates (54 ± 12%EBreakfast; 62 ± 12%ESnacks). High-sugar content foods were consumed in relatively large proportions at breakfast and snacks. Food intakes varied significantly with age, with lower snack intakes at later ages (p < 0.001). CONCLUSION: Possibly unhealthy EOs with high-fat intakes and high-sugar-content foods were observed. Changes in nutrient composition of EOs may be beneficial for health. TRIAL REGISTRY: ClinicalTrials.gov: NCT00338689; 19/June/2006.
Authors: Kylie J Smith; Monique C Breslin; Sarah A McNaughton; Seana L Gall; Leigh Blizzard; Alison J Venn Journal: Aust N Z J Public Health Date: 2017-09-12 Impact factor: 2.939