 Author information
1Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, 50009, Zaragoza, Spain. Electronic address: sondosnserat991@gmail.com.
2Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, 50009, Zaragoza, Spain; Instituto Agroalimentario de Aragón (IA2), 50013, Zaragoza, Spain. Electronic address: mlmiguel@unizar.es.
3International Agency for Research on Cancer (IARC), 69372, Lyon, France; Department of Public Health and Primary Care, Ghent University, 9000, Ghent, Belgium. Electronic address: huybrechtsi@iarc.fr.
4Department of Medical Physiology, School of Medicine, University of Granada, Granada, 18071, Spain. Electronic address: mcgarzon@ugr.es.
5ImFine Research Group, Departamento de Salud y Rendimiento Humano, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, 28040, Madrid, Spain; CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029, Madrid, Spain. Electronic address: marcela.gonzalez.gross@upm.es.
6Inmunonutrition Research Group, Department of Metabolism and Nutrition, Instituto del Frío, Institute of Food Science and Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), 28040, Madrid, Spain. Electronic address: amarcos@ictan.csic.es.
7Univ. Lille, CHU Lille, INSERM U1286 Infinite, F-59000, Lille, France. Electronic address: Frederic.GOTTRAND@chru-lille.fr.
8Council for Agricultural Research and Economics, Research Centre for Food and Nutrition, Via Ardeatina 546, 00178, Rome, Italy. Electronic address: cinzia.ledonne@crea.gov.it.
9Department of Gastroenterology and Hepatology, Medical University of Vienna, 1090, Vienna, Austria; Austrian Academic Institute for Clinical Nutrition, A-3100, Vienna, Austria. Electronic address: kurt.widhalm@meduniwien.ac.at.
10Department of Pediatrics, Medical School, University of Pécs, H-7624, Pécs, Hungary. Electronic address: molnar.denes@pte.hu.
11Department of Nutrition and Food Sciences, University of Bonn, D-53115, Bonn, Germany. Electronic address: p.stehle@uni-bonn.de.
12Faculty of Medicine, University of Crete, GR-71003, Crete, Greece. Electronic address: kafatos@med.uoc.gr.
13Department of Epidemiology and Public Health, Institut Pasteur de Lille, 59000, Lille, France. Electronic address: Jean.Dallongeville@pasteur-lille.fr.
14ImFine Research Group, Departamento de Salud y Rendimiento Humano, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, 28040, Madrid, Spain. Electronic address: eva.gesteiro@upm.es.
15Department of Public Health and Primary Care, Ghent University, 9000, Ghent, Belgium. Electronic address: Souheila.Abbeddou@ugent.be.
16Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, 50009, Zaragoza, Spain; Instituto Agroalimentario de Aragón (IA2), 50013, Zaragoza, Spain; CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029, Madrid, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009, Zaragoza, Spain. Electronic address: lmoreno@unizar.es.
17Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, 50009, Zaragoza, Spain; CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029, Madrid, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009, Zaragoza, Spain. Electronic address: esthergg@unizar.es.
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Abstract
BACKGROUND AND AIMS: This study aims to examine the associations of food portion size (PS) with markers of insulin resistance (IR) and clustered of metabolic risk score in European adolescents.
METHODS: A total of 495 adolescents (53.5% females) from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study were included. The association between PS from food groups and homeostasis model assessment of insulin resistance (HOMA-IR) index, VO2 max, and metabolic risk score was assessed by multilinear regression analysis adjusting for several confounders. Analysis of covariance (ANCOVA) was used to determine the mean differences of food PS from food groups by HOMA-IR cutoff categories by using maternal education as a covariable.
RESULTS: Larger PS from vegetables in both gender and milk, yoghurt, and milk beverages in males were associated with higher VO2 max, while larger PS from margarines and vegetable oils were associated with lower VO2 max (p < 0.05). Males who consumed larger PS from fish and fish products; meat substitutes, nuts, and pulses; cakes, pies, and biscuits; and sugar, honey, jams, and chocolate have a higher metabolic risk score (p < 0.05). Males with lower HOMA-IR cutoff values consumed larger PS from vegetables, milk, yoghurt, and milk beverages (p < 0.05). Females with lower HOMA-IR cutoff values consumed larger PS from breakfast cereals, while those with higher HOMA-IR cutoff values consumed larger PS from butter and animal fats (p = 0.018).
CONCLUSION: The results show that larger PS from dairy products, cereals, and high energy dense foods are a significant determinant of IR and VO2 max, and larger PS from food with higher content of sugar were associated with higher metabolic risk score.
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