Search

Your search keyword '"Castillo, Manuel J."' showing total 19 results
Start Over Author "Castillo, Manuel J." Publisher elsevier
19 results on '"Castillo, Manuel J."'

1. More physically active and leaner adolescents have higher energy intake

Author

Cuenca García, Magdalena, Ortega, Francisco B., Ruiz, Jonatan R., Labayen, Idoia, Moreno, Luis A., Patterson, Emma, Vicente Rodríguez, Germán, González Gross, Marcela, Marcos, Ascensión, Polito, Angela, Manios, Yannis, Beghin, Laurent, Huybrechts, Inge, Wästlund, Acki, Hurtig Wennlöf, Anita, Hagströmer, Maria, Molnár, Dénes, Widhalm, Kurt, Kafatos, Anthony, De Henauw, Stefaan, Castillo, Manuel J., Gutin, Bernard, Sjöström, Michael, Moreno LA, Gottrand F, De Henauw S, González Gross M, Gilbert C, Kafatos A, Libersa C, Sánchez Molero J, Kersting M, Sjöstrom M, Molnár D, Dallongeville J, Hall G, Maes L, Scalfi L, Meléndez P, Fleta J, Casajús JA, Rodríguez G, Tomás C, Mesana MI, Vicente Rodríguez G, Villarroya A, Gil CM, Ara I, Revenga J, Lachen C, Alvira JF, Bueno G, Bueno O, León JF, Garagorri JM, Bueno M, López JP, Iglesia I, Velasco P, Bel S, Marcos A, Wärnberg J, Nova E, Gómez S, Díaz EL, Romeo J, Veses A, Puertollano MA, Zapatera B, Pozo T, Martínez D, Beghin L, Iliescu C, Von Berlepsch J, Sichert Hellert W, Koeppen E, Molnar D, Erhardt E, Csernus K, Török K, Bokor S, Nagy E, Kovács O, Repásy J, Codrington C, Plada M, Papadaki A, Sarri K, Viskadourou A, Hatzis C, Kiriakakis M, Tsibinos G, Vardavas C, Sbokos M, Protoyeraki E, Fasoulaki M, Stehle P, Pietrzik K, Breidenassel C, Spinneker A, Al Tahan J, Segoviano M, Berchtold A, Bierschbach C, Blatzheim E, Schuch A, Pickert P, Castillo MJ, Gutiérrez Á, Ortega FB, Ruiz JR, Artero EG, España Romero V, Jiménez Pavón D, Chillón P, Cuenca García M, Arcella D, Azzini E, Barrison E, Bevilacqua N, Buonocore P, Catasta G, Censi L, Ciarapica D, D'Acapito P, Ferrari M, Galfo M, Donne CL, Leclercq C, Maiani G, Mauro B, Mistura L, Pasquali A, Piccinelli R, Polito A, Spada R, Sette S, Zaccaria M, II F, Montagnese C, De Bourdeaudhuij I, De Vriendt T, Matthys C, Vereecken C, de Maeyer M, Ottevaere C, Huybrechts I, Widhalm K, Phillipp K, Dietrich S, Manios Y, Grammatikaki E, Bouloubasi Z, Cook TL, Consta O, Moschonis G, Katsaroli I, Kraniou G, Papoutsou S, Keke D, Petraki I, Bellou E, Kallianoti K, Argyropoulou D, Kondaki K, Tsikrika S, Karaiskos C, Meirhaeghe A, Bergman P, Hagströmer M, Hallström L, Hallberg M, Poortvliet E, Rizzo N, Beckman L, Wennlöf AH, Patterson E, Kwak L, Cernerud L, Tillgren P, Sörensen S, Picó E, Navarro M, Viadel B, Carreres JE, Merino G, Sanjuán R, Lorente M, Sánchez MJ, Castelló S, Thomas S, Allchurch E, Burguess P, Astrom A, Sverkén A, Broberg A, Masson A, Lehoux C, Brabant P, Pate P, Fontaine L, Sebok A, Kuti T, Hegyi A, Maldonado C, Llorente A, García E, von Fircks H, Hallberg ML, Messerer M, Larsson M, Fredriksson H, Adamsson V, Börjesson I, Fernández L, Smillie L, Wills J, Valtueña J, Albers U, Pedrero R, Meléndez A, Benito PJ, Lorente JJ, Cañada D, Urzanqui A, Ortiz JC, Fuentes F, Torres RM, Navarro P., VITAGLIONE, PAOLA, Cuenca García, Magdalena, Ortega, Francisco B., Ruiz, Jonatan R., Labayen, Idoia, Moreno, Luis A., Patterson, Emma, Vicente Rodríguez, Germán, González Gross, Marcela, Marcos, Ascensión, Polito, Angela, Manios, Yanni, Beghin, Laurent, Huybrechts, Inge, Wästlund, Acki, Hurtig Wennlöf, Anita, Hagströmer, Maria, Molnár, Déne, Widhalm, Kurt, Kafatos, Anthony, De Henauw, Stefaan, Castillo, Manuel J., Gutin, Bernard, Sjöström, Michael, Moreno, La, Gottrand, F, De Henauw, S, González Gross, M, Gilbert, C, Kafatos, A, Libersa, C, Sánchez Molero, J, Kersting, M, Sjöstrom, M, Molnár, D, Dallongeville, J, Hall, G, Maes, L, Scalfi, L, Meléndez, P, Fleta, J, Casajús, Ja, Rodríguez, G, Tomás, C, Mesana, Mi, Vicente Rodríguez, G, Villarroya, A, Gil, Cm, Ara, I, Revenga, J, Lachen, C, Alvira, Jf, Bueno, G, Bueno, O, León, Jf, Garagorri, Jm, Bueno, M, López, Jp, Iglesia, I, Velasco, P, Bel, S, Marcos, A, Wärnberg, J, Nova, E, Gómez, S, Díaz, El, Romeo, J, Veses, A, Puertollano, Ma, Zapatera, B, Pozo, T, Martínez, D, Beghin, L, Iliescu, C, Von Berlepsch, J, Sichert Hellert, W, Koeppen, E, Molnar, D, Erhardt, E, Csernus, K, Török, K, Bokor, S, Nagy, E, Kovács, O, Repásy, J, Codrington, C, Plada, M, Papadaki, A, Sarri, K, Viskadourou, A, Hatzis, C, Kiriakakis, M, Tsibinos, G, Vardavas, C, Sbokos, M, Protoyeraki, E, Fasoulaki, M, Stehle, P, Pietrzik, K, Breidenassel, C, Spinneker, A, Al Tahan, J, Segoviano, M, Berchtold, A, Bierschbach, C, Blatzheim, E, Schuch, A, Pickert, P, Castillo, Mj, Gutiérrez, Á, Ortega, Fb, Ruiz, Jr, Artero, Eg, España Romero, V, Jiménez Pavón, D, Chillón, P, Cuenca García, M, Arcella, D, Azzini, E, Barrison, E, Bevilacqua, N, Buonocore, P, Catasta, G, Censi, L, Ciarapica, D, D'Acapito, P, Ferrari, M, Galfo, M, Donne, Cl, Leclercq, C, Maiani, G, Mauro, B, Mistura, L, Pasquali, A, Piccinelli, R, Polito, A, Spada, R, Sette, S, Zaccaria, M, Ii, F, Vitaglione, Paola, Montagnese, C, De Bourdeaudhuij, I, De Vriendt, T, Matthys, C, Vereecken, C, de Maeyer, M, Ottevaere, C, Huybrechts, I, Widhalm, K, Phillipp, K, Dietrich, S, Manios, Y, Grammatikaki, E, Bouloubasi, Z, Cook, Tl, Consta, O, Moschonis, G, Katsaroli, I, Kraniou, G, Papoutsou, S, Keke, D, Petraki, I, Bellou, E, Kallianoti, K, Argyropoulou, D, Kondaki, K, Tsikrika, S, Karaiskos, C, Meirhaeghe, A, Bergman, P, Hagströmer, M, Hallström, L, Hallberg, M, Poortvliet, E, Rizzo, N, Beckman, L, Wennlöf, Ah, Patterson, E, Kwak, L, Cernerud, L, Tillgren, P, Sörensen, S, Picó, E, Navarro, M, Viadel, B, Carreres, Je, Merino, G, Sanjuán, R, Lorente, M, Sánchez, Mj, Castelló, S, Thomas, S, Allchurch, E, Burguess, P, Astrom, A, Sverkén, A, Broberg, A, Masson, A, Lehoux, C, Brabant, P, Pate, P, Fontaine, L, Sebok, A, Kuti, T, Hegyi, A, Maldonado, C, Llorente, A, García, E, von Fircks, H, Hallberg, Ml, Messerer, M, Larsson, M, Fredriksson, H, Adamsson, V, Börjesson, I, Fernández, L, Smillie, L, Wills, J, Valtueña, J, Albers, U, Pedrero, R, Meléndez, A, Benito, Pj, Lorente, Jj, Cañada, D, Urzanqui, A, Ortiz, Jc, Fuentes, F, Torres, Rm, and Navarro, P.

Subjects
Male, Metabolic equivalent, Body Mass Index, Bioelectrical impedance, Medicine, Child, Adiposity, DXA, medicine.diagnostic_test, Dual-energy X-ray absorptiometry, food and beverages, Europe, Nutritional Statu, MET, Total energy expenditure, Female, EYHS, Bioelectrical impedance analysis, Human, medicine.medical_specialty, Adolescent, Physical activity, Nutritional Status, Healthy Lifestyle in Europe by Nutrition in Adolescence, Motor Activity, Basal metabolic rate, BMI, Internal medicine, BIA, HELENA, Humans, BMR, MSM, Life Style, Cross-Sectional Studie, business.industry, European Youth Heart Study, TEE, Endocrinology, Cross-Sectional Studies, DIAT, Dietary Intake Assessment Tool, Pediatrics, Perinatology and Child Health, Multiple Source Method, business, Energy Intake, Body mass index, Energy (signal processing)
Abstract

Objective To test whether youths who engage in vigorous physical activity are more likely to have lean bodies while ingesting relatively large amounts of energy. For this purpose, we studied the associations of both physical activity and adiposity with energy intake in adolescents. Study design The study subjects were adolescents who participated in 1 of 2 cross-sectional studies, the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study (n = 1450; mean age, 14.6 years) or the European Youth Heart Study (EYHS; n = 321; mean age, 15.6 years). Physical activity was measured by accelerometry, and energy intake was measured by 24-hour recall. In the HELENA study, body composition was assessed by 2 or more of the following methods: skinfold thickness, bioelectrical impedance analysis, plus dual-energy X-ray absorptiometry or air-displacement plethysmography in a subsample. In the EYHS, body composition was assessed by skinfold thickness. Results Fat mass was inversely associated with energy intake in both studies and using 4 different measurement methods (P ≤.006). Overall, fat-free mass was positively associated with energy intake in both studies, yet the results were not consistent across measurement methods in the HELENA study. Vigorous physical activity in the HELENA study (P

Published
2014

2. Sedentary patterns and media availability in European adolescents: The HELENA study

Author

Rey López, Juan P., Vicente Rodriguez, Germán, Ortega, Francisco B., Ruiz, Jonatan R., Martinez Gómez, David, De Henauw, Stefan, Manios, Yannis, Molnar, Denes, Polito, Angela, Verloigne, Maite, Castillo, Manuel J., Sjöström, Michael, De Bourdeaudhuij, Ilse, Moreno, Luis A., Moreno LA, Gottrand F, De Henauw S, González Gross M, Gilbert C, Kafatos A, Libersa C, Sánchez J, Kersting M, Sjöstrom M, Molnár D, Dallongeville J, Hall G, Maes L, Scalfi L, Meléndez P, Fleta J, Casajús JA, Rodríguez G, Tomás C, Mesana MI, Vicente Rodríguez G, Villarroya A, Gil CM, Ara I, Revenga J, Lachen C, Fernández Alvira J, Bueno G, Lázaro A, Bueno O, León JF, Garagorri JM, Bueno M, López JP, Iglesia I, Velasco P, Bel S, Marcos A, Wärnberg J, Nova E, Gómez S, Díaz EL, Romeo J, Veses A, Puertollano MA, Zapatera B, Pozo T, Beghin L, Iliescu C, Von Berlepsch J, Sichert Hellert W, Koeppen E, Molnar D, Erhardt E, Csernus K, Török K, Bokor S, Angster, Nagy E, Kovács O, Répasi J, Codrington C, Plada M, Papadaki A, Sarri K, Viskadourou A, Hatzis C, Kiriakakis M, Tsibinos G, Vardavas C, Sbokos M, Protoyeraki E, Fasoulaki M, Stehle P, Pietrzik K, Breidenassel C, Spinneker A, Al Tahan J, Segoviano M, Berchtold A, Bierschbach C, Blatzheim E, Schuch A, Pickert P, Garzón MJ, Sáinz AG, Porcel FB, Ruiz JR, Artero EG, Romero VE, Pavón DJ, Muñoz CS, Soto V, Chillón P, Heredia JM, Aparicio V, Baena P, Cardia CM, Carbonell A, Arcella D, Catasta G, Censi L, Ciarapica D, Ferrari M, Le Donne C, Leclerq C, Magrì L, Maiani G, Piccinelli R, Polito A, Spada R, Toti E, Montagnese C, De Bourdeaudhuij I, De Vriendt T, Matthys C, Vereecken C, de Maeyer M, Ottevaere C, Widhalm K, Phillipp K, Dietrich S, Boriss Riedl BK, Manios Y, Grammatikaki E, Bouloubasi Z, Cook TL, Eleutheriou S, Consta O, Moschonis G, Katsaroli I, Kraniou G, Papoutsou S, Keke D, Petraki I, Bellou E, Tanagra S, Kallianoti K, Argyropoulou D, Kondaki K, Tsikrika S, Karaiskos C, Pavón M, Meirhaeghe A, Bergman P, Hagströmer M, Hallström L, Hallberg M, Poortvliet E, Rizzo N, Beckman L, Wennlöf AH, Patterson E, Kwak L, Cernerud L, Tillgren P, Sörensen S, Sánchez Molero J, Picó E, Navarro M, Viadel B, Carreres JE, Merino G, Sanjuán R, Lorente M, Sánchez MJ, Castelló S, Thomas S, Allchurch E, Burguess P, Astrom A, Sverkén A, Broberg A, Masson A, Lehoux C, Brabant P, Pate P, Fontaine L, Sebok A, Kuti T, Hegyi A, Maldonado C, Llorente A, García E, von Fircks H, Hallberg ML, Messerer M, Larsson M, Fredriksson H, Adamsson V, Börjesson I, Fernández L, Smillie L, Wills J, Meléndez A, Benito PJ, Calderón J, Jiménez Pavón D, Valtueña J, Navarro P, Urzanqui A, Albers U, Pedrero R, Lorente J.J., VITAGLIONE, PAOLA, Rey López, Juan P., Vicente Rodriguez, Germán, Ortega, Francisco B., Ruiz, Jonatan R., Martinez Gómez, David, De Henauw, Stefan, Manios, Yanni, Molnar, Dene, Polito, Angela, Verloigne, Maite, Castillo, Manuel J., Sjöström, Michael, De Bourdeaudhuij, Ilse, Moreno, Luis A., Moreno, La, Gottrand, F, De Henauw, S, González Gross, M, Gilbert, C, Kafatos, A, Libersa, C, Sánchez, J, Kersting, M, Sjöstrom, M, Molnár, D, Dallongeville, J, Hall, G, Maes, L, Scalfi, L, Meléndez, P, Fleta, J, Casajús, Ja, Rodríguez, G, Tomás, C, Mesana, Mi, Vicente Rodríguez, G, Villarroya, A, Gil, Cm, Ara, I, Revenga, J, Lachen, C, Fernández Alvira, J, Bueno, G, Lázaro, A, Bueno, O, León, Jf, Garagorri, Jm, Bueno, M, López, Jp, Iglesia, I, Velasco, P, Bel, S, Marcos, A, Wärnberg, J, Nova, E, Gómez, S, Díaz, El, Romeo, J, Veses, A, Puertollano, Ma, Zapatera, B, Pozo, T, Beghin, L, Iliescu, C, Von Berlepsch, J, Sichert Hellert, W, Koeppen, E, Molnar, D, Erhardt, E, Csernus, K, Török, K, Bokor, S, Angster, Nagy, E, Kovács, O, Répasi, J, Codrington, C, Plada, M, Papadaki, A, Sarri, K, Viskadourou, A, Hatzis, C, Kiriakakis, M, Tsibinos, G, Vardavas, C, Sbokos, M, Protoyeraki, E, Fasoulaki, M, Stehle, P, Pietrzik, K, Breidenassel, C, Spinneker, A, Al Tahan, J, Segoviano, M, Berchtold, A, Bierschbach, C, Blatzheim, E, Schuch, A, Pickert, P, Garzón, Mj, Sáinz, Ag, Porcel, Fb, Ruiz, Jr, Artero, Eg, Romero, Ve, Pavón, Dj, Muñoz, C, Soto, V, Chillón, P, Heredia, Jm, Aparicio, V, Baena, P, Cardia, Cm, Carbonell, A, Arcella, D, Catasta, G, Censi, L, Ciarapica, D, Ferrari, M, Le Donne, C, Leclerq, C, Magrì, L, Maiani, G, Piccinelli, R, Polito, A, Spada, R, Toti, E, Vitaglione, Paola, Montagnese, C, De Bourdeaudhuij, I, De Vriendt, T, Matthys, C, Vereecken, C, de Maeyer, M, Ottevaere, C, Widhalm, K, Phillipp, K, Dietrich, S, Boriss Riedl, Bk, Manios, Y, Grammatikaki, E, Bouloubasi, Z, Cook, Tl, Eleutheriou, S, Consta, O, Moschonis, G, Katsaroli, I, Kraniou, G, Papoutsou, S, Keke, D, Petraki, I, Bellou, E, Tanagra, S, Kallianoti, K, Argyropoulou, D, Kondaki, K, Tsikrika, S, Karaiskos, C, Pavón, M, Meirhaeghe, A, Bergman, P, Hagströmer, M, Hallström, L, Hallberg, M, Poortvliet, E, Rizzo, N, Beckman, L, Wennlöf, Ah, Patterson, E, Kwak, L, Cernerud, L, Tillgren, P, Sörensen, S, Sánchez Molero, J, Picó, E, Navarro, M, Viadel, B, Carreres, Je, Merino, G, Sanjuán, R, Lorente, M, Sánchez, Mj, Castelló, S, Thomas, S, Allchurch, E, Burguess, P, Astrom, A, Sverkén, A, Broberg, A, Masson, A, Lehoux, C, Brabant, P, Pate, P, Fontaine, L, Sebok, A, Kuti, T, Hegyi, A, Maldonado, C, Llorente, A, García, E, von Fircks, H, Hallberg, Ml, Messerer, M, Larsson, M, Fredriksson, H, Adamsson, V, Börjesson, I, Fernández, L, Smillie, L, Wills, J, Meléndez, A, Benito, Pj, Calderón, J, Jiménez Pavón, D, Valtueña, J, Navarro, P, Urzanqui, A, Albers, U, Pedrero, R, and Lorente, J. J.

Subjects
Gerontology, Male, medicine.medical_specialty, Media, Youth, European community, Adolescent, Epidemiology, Child health, Video Game, medicine, Prevalence, Humans, Sex Distribution, Socioeconomics, Child, Socioeconomic status, Sedentarine, Preventive healthcare, Sedentary lifestyle, Working life, business.industry, Medicine (all), Public Health, Environmental and Occupational Health, Social research, Europe, Video Games, Adolescent Behavior, Sedentary Lifestyle, Christian ministry, Female, Television, Sedentary Behavior, business, Inactivity, Leisure-time, Human
Abstract

Objective: To describe sedentary behaviors in adolescents and to examine the influence of media availability on TV viewing. Method: The study assessed 3278 adolescents (1537 males and 1741 females, 12.5-17.5. years) involved in the HELENA study (2007). Adolescents reported hours of TV viewing, computer games, console, internet for study and non-study reasons, and study, as well as availability of TVs, computers and consoles. Results: Time spent in sedentary behaviors was higher during weekends (all . p2. h/day) based solely on TV viewing, whereas around 60% exceeded it at weekends. Having a TV or a console in the bedroom was associated with higher TV viewing (OR. =2.66; 95% CI 2.23-3.18; and OR. =1.92; 95% CI 1.61-2.28, respectively) whereas the presence of computer reduced it (OR. =0.57; 95% CI 0.48-0.68). Conclusion: Adolescents living in Europe are not meeting media recommendations, especially during weekend. The absence of a TV in the adolescents' bedroom might reduce TV viewing. Further studies are needed to confirm or contrast our findings. © 2010 Elsevier Inc., The HELENA Study was carried out with financial support of the European Community Sixth RTD Framework Programme (Contract FOOD-CT-2005-007034). This study was also supported by a grant from the Spanish Ministry of Health: Maternal, Child Health and Development Network (number RD08/0072) and the Spanish Ministry of Education (EX-2007-1124, EX-2008-0641, DEP2007- 29933-E, AP2006-02464), Swedish Council for Working Life and Social Research, the ALPHA study and the Swedish Heart Lung Foundation (20090635). JP Rey-López was supported by Fundación Cuenca Villoro (Spain).

Published
2010

4. Levels of physical activity that predict optimal bone mass in adolescents: The HELENA study

Author

Gracia-Marco, Luis, Moreno, Luis A., Ortega, F. B., Len, F., Sioen, I., Kafatos, Anthony, Martínez Gómez, D., Widhalm, Kurt, Castillo, Manuel J., and Vicente-Rodríguez, G.

Abstract

Background: Physical activity is necessary for bone mass development in adolescence. There are few studies quantifying the associations between physical activity and bone mass in adolescents. Purpose: To assess the relationship between moderate-to-vigorous physical activity (MVPA) and vigorous physical activity (VPA) and bone mass in adolescents. Methods: Bone mass was measured by dual-energy X-ray absorptiometry and physical activity by accelerometers in 380 healthy Spanish adolescents (189 boys, aged 12.517.5 years) from the HELENACSS (20062007). Subjects were classified according to the recommended amount of MVPA (

Published
2011

5. Do dietary patterns determine levels of vitamin B6, folate, and vitamin B12 intake and corresponding biomarkers in European adolescents? The Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study

Author

Iris Iglesia, Inge Huybrechts, Theodora Mouratidou, Javier Santabárbara, Juan M. Fernández-Alvira, Alba M. Santaliestra-Pasías, Yannis Manios, Alejandro De la O Puerta, Anthony Kafatos, Frédéric Gottrand, Ascensión Marcos, Stefania Sette, Maria Plada, Peter Stehle, Dénes Molnár, Kurt Widhalm, Mathilde Kersting, Stefaan De Henauw, Luis A. Moreno, Marcela González-Gross, Jesús Fleta, José A. Casajús, Gerardo Rodríguez, Concepción Tomás, María I. Mesana, Germán Vicente-Rodríguez, Adoración Villarroya, Carlos M. Gil, Ignacio Ara, Juan Fernández Alvira, Gloria Bueno, Aurora Lázaro, Olga Bueno, Juan F. León, Jesús M.a Garagorri, Manuel Bueno, Idoia Labayen, Silvia Bel, Luis A. Gracia Marco, Alba Santaliestra-Pasías, Esther González-Gil, Pilar De Miguel-Etayo, Cristina Julián Almárcegui, Mary Miguel-Berges, Isabel Iguacel, Julia Wärnberg, Esther Nova, Sonia Gómez, Ligia Esperanza Díaz, Javier Romeo, Ana Veses, Belén Zapatera, Tamara Pozo, David Martínez, Laurent Beghin, Christian Libersa, Catalina Iliescu, Juliana Von Berlepsch, Wolfgang Sichert-Hellert, Ellen Koeppen, Eva Erhardt, Katalin Csernus, Katalin Török, Szilvia Bokor, Mrs Angster, Enikö Nagy, Orsolya Kovács, Judit Répasi, Caroline Codrington, María Plada, Angeliki Papadaki, Katerina Sarri, Anna Viskadourou, Christos Hatzis, Michael Kiriakakis, George Tsibinos, Constantine Vardavas, Manolis Sbokos, Eva Protoyeraki, Maria Fasoulaki, Klaus Pietrzik, Christina Breidenassel, Andre Spinneker, Jasmin Al-Tahan, Miriam Segoviano, Anke Berchtold, Christine Bierschbach, Erika Blatzheim, Adelheid Schuch, Petra Pickert, Manuel J. Castillo, Ángel Gutiérrez, Francisco B. Ortega, Jonatan R. Ruiz, Enrique G. Artero, Vanesa España, David Jiménez-Pavón, Palma Chillón, Cristóbal Sánchez-Muñoz, Magdalena Cuenca, Davide Arcella, Elena Azzini, Emma Barison, Noemi Bevilacqua, Pasquale Buonocore, Giovina Catasta, Laura Censi, Donatella Ciarapica, Paola D'Acapito, Marika Ferrari, Myriam Galfo, Cinzia Le Donne, Catherine Leclercq, Giuseppe Maiani, Beatrice Mauro, Lorenza Mistura, Antonella Pasquali, Raffaela Piccinelli, Angela Polito, Romana Roccaldo, Raffaella Spada, Maria Zaccaria, Luca Scalfi, Paola Vitaglione, Concetta Montagnese, Ilse De Bourdeaudhuij, Tineke De Vriendt, Lea Maes, Christophe Matthys, Carine Vereecken, Mieke de Maeyer, Charlene Ottevaere, Katharina Phillipp, Sabine Dietrich, Eva Grammatikaki, Zoi Bouloubasi, Tina Louisa Cook, Sofia Eleutheriou, Orsalia Consta, George Moschonis, Ioanna Katsaroli, George Kraniou, Stalo Papoutsou, Despoina Keke, Ioanna Petraki, Elena Bellou, Sofia Tanagra, Kostalenia Kallianoti, Dionysia Argyropoulou, Stamatoula Tsikrika, Christos Karaiskos, Jean Dallongeville, Aline Meirhaeghe, Michael Sjöstrom, María Hagströmer, Anita Hurtig Wennlöf, Lena Hallström, Emma Patterson, Lydia Kwak, Nico Rizzo, Jackie Sánchez-Molero, Sara Castelló, Elena Picó, Maite Navarro, Blanca Viadel, José Enrique Carreres, Gema Merino, Rosa Sanjuán, María Lorente, María José Sánchez, Chantal Gilbert, Sarah Thomas, Elaine Allchurch, Peter Burgess, Gunnar Hall, Annika Astrom, Anna Sverkén, Agneta Broberg, Annick Masson, Claire Lehoux, Pascal Brabant, Philippe Pate, Laurence Fontaine, Andras Sebok, Tunde Kuti, Adrienn Hegyi, Cristina Maldonado, Ana Llorente, Emilio García, Holger von Fircks, Marianne Lilja Hallberg, Maria Messerer, Mats Larsson, Helena Fredriksson, Viola Adamsson, Ingmar Börjesson, Laura Fernández, Laura Smillie, Josephine Wills, Raquel Pedrero-Chamizo, Agustín Meléndez, Jara Valtueña, Ulrike Albers, Pedro J. Benito, Juan José Gómez Lorente, David Cañada, Alejandro Urzanqui, Rosa María Torres, Paloma Navarro, European Commission, Ministerio de Educación (España), Ministerio de Ciencia e Innovación (España), Instituto de Salud Carlos III, Iglesia, Iri, Huybrechts, Inge, Mouratidou, Theodora, Santabárbara, Javier, Fernández-Alvira, Juan M., Santaliestra-Pasías, Alba M., Manios, Yanni, De la O Puerta, Alejandro, Kafatos, Anthony, Gottrand, Frédéric, Marcos, Ascensión, Sette, Stefania, Plada, Maria, Stehle, Peter, Molnár, Déne, Widhalm, Kurt, Kersting, Mathilde, De Henauw, Stefaan, Moreno, Luis A., González-Gross, Marcela, Fleta, Jesú, Casajús, José A., Rodríguez, Gerardo, Tomás, Concepción, Mesana, María I., Vicente-Rodríguez, Germán, Villarroya, Adoración, Gil, Carlos M., Ara, Ignacio, Alvira, Juan Fernández, Bueno, Gloria, Lázaro, Aurora, Bueno, Olga, León, Juan F., Garagorri, Jesús M. a, Bueno, Manuel, Labayen, Idoia, Bel, Silvia, Marco, Luis A. Gracia, Santaliestra-Pasías, Alba, González-Gil, Esther, De Miguel-Etayo, Pilar, Almárcegui, Cristina Julián, Miguel-Berges, Mary, Iguacel, Isabel, Wärnberg, Julia, Nova, Esther, Gómez, Sonia, Díaz, Ligia Esperanza, Romeo, Javier, Veses, Ana, Zapatera, Belén, Pozo, Tamara, Martínez, David, Beghin, Laurent, Libersa, Christian, Iliescu, Catalina, Von Berlepsch, Juliana, Sichert-Hellert, Wolfgang, Koeppen, Ellen, Erhardt, Eva, Csernus, Katalin, Török, Katalin, Bokor, Szilvia, Angster, Mr, Nagy, Enikö, Kovács, Orsolya, Répasi, Judit, Codrington, Caroline, Plada, María, Papadaki, Angeliki, Sarri, Katerina, Viskadourou, Anna, Hatzis, Christo, Kiriakakis, Michael, Tsibinos, George, Vardavas, Constantine, Sbokos, Manoli, Protoyeraki, Eva, Fasoulaki, Maria, Pietrzik, Klau, Breidenassel, Christina, Spinneker, Andre, Al-Tahan, Jasmin, Segoviano, Miriam, Berchtold, Anke, Bierschbach, Christine, Blatzheim, Erika, Schuch, Adelheid, Pickert, Petra, Castillo, Manuel J., Gutiérrez, Ángel, Ortega, Francisco B., Ruiz, Jonatan R., Artero, Enrique G., España, Vanesa, Jiménez-Pavón, David, Chillón, Palma, Sánchez-Muñoz, Cristóbal, Cuenca, Magdalena, Arcella, Davide, Azzini, Elena, Barison, Emma, Bevilacqua, Noemi, Buonocore, Pasquale, Catasta, Giovina, Censi, Laura, Ciarapica, Donatella, D'Acapito, Paola, Ferrari, Marika, Galfo, Myriam, Donne, Cinzia Le, Leclercq, Catherine, Maiani, Giuseppe, Mauro, Beatrice, Mistura, Lorenza, Pasquali, Antonella, Piccinelli, Raffaela, Polito, Angela, Roccaldo, Romana, Spada, Raffaella, Zaccaria, Maria, Scalfi, Luca, Vitaglione, Paola, Montagnese, Concetta, De Bourdeaudhuij, Ilse, De Vriendt, Tineke, Maes, Lea, Matthys, Christophe, Vereecken, Carine, de Maeyer, Mieke, Ottevaere, Charlene, Phillipp, Katharina, Dietrich, Sabine, Grammatikaki, Eva, Bouloubasi, Zoi, Cook, Tina Louisa, Eleutheriou, Sofia, Consta, Orsalia, Moschonis, George, Katsaroli, Ioanna, Kraniou, George, Papoutsou, Stalo, Keke, Despoina, Petraki, Ioanna, Bellou, Elena, Tanagra, Sofia, Kallianoti, Kostalenia, Argyropoulou, Dionysia, Tsikrika, Stamatoula, Karaiskos, Christo, Dallongeville, Jean, Meirhaeghe, Aline, Sjöstrom, Michael, Hagströmer, María, Wennlöf, Anita Hurtig, Hallström, Lena, Patterson, Emma, Kwak, Lydia, Rizzo, Nico, Sánchez-Molero, Jackie, Castelló, Sara, Picó, Elena, Navarro, Maite, Viadel, Blanca, Carreres, José Enrique, Merino, Gema, Sanjuán, Rosa, Lorente, María, Sánchez, María José, Gilbert, Chantal, Thomas, Sarah, Allchurch, Elaine, Burgess, Peter, Hall, Gunnar, Astrom, Annika, Sverkén, Anna, Broberg, Agneta, Masson, Annick, Lehoux, Claire, Brabant, Pascal, Pate, Philippe, Fontaine, Laurence, Sebok, Andra, Kuti, Tunde, Hegyi, Adrienn, Maldonado, Cristina, Llorente, Ana, García, Emilio, von Fircks, Holger, Hallberg, Marianne Lilja, Messerer, Maria, Larsson, Mat, Fredriksson, Helena, Adamsson, Viola, Börjesson, Ingmar, Fernández, Laura, Smillie, Laura, Wills, Josephine, Pedrero-Chamizo, Raquel, Meléndez, Agustín, Valtueña, Jara, Albers, Ulrike, Benito, Pedro J., Lorente, Juan José Gómez, Cañada, David, Urzanqui, Alejandro, Torres, Rosa María, and Navarro, Paloma

Subjects
0301 basic medicine, Vitamin b, Food intake, 030109 nutrition & dietetics, Nutrition and Dietetics, Adolescent, business.industry, Endocrinology, Diabetes and Metabolism, Physiology, Dietary pattern, Reduced rank regression, Fish products, Whole milk, Europe, 03 medical and health sciences, Medicine, Biomarker (medicine), Vitamin B12, Vitamin b6, business, Vitamin B
Abstract

On behalf of the HELENA study group: et al., [Objectives]: To determine dietary patterns (DPs) and explain the highest variance of vitamin B6, folate, and B12 intake and related concentrations among European adolescents., [Methods]: A total of 2173 adolescents who participated in the Healthy Lifestyle in Europe by Nutrition in Adolescence study met the eligibility criteria for the vitamin B intake analysis (46% boys) and 586 adolescents for the biomarkers analysis (47% boys). Two non-consecutive, 24-h, dietary recalls were used to assess the mean intakes. Concentrations were measured by chromatography and immunoassay testing. A reduced rank regression was applied to elucidate the combined effect of food intake of vitamin B and related concentrations., [Results]: The identified DPs (one per vitamin B intake and biomarker and by sex) explained a variability between 34.2% and 23.7% of the vitamin B intake and between 17.2% and 7% of the biomarkers. In the reduced rank regression models, fish, eggs, cheese, whole milk and buttermilk intakes were loaded positively for vitamin B intake in both sexes; however, soft drinks and chocolate were loaded negatively. For the biomarkers, a higher variability was observed in the patterns in terms of food loads such as alcoholic drinks, sugars, and soft drinks. Some food items were loaded differently between intakes and biomarkers such as fish products, which was loaded positively for intakes but negatively for plasma folate in girls., [Conclusions]: The identified DPs explained up to 34.2% and 17.2% of the variability of the vitamin B intake and plasma concentrations, respectively, in European adolescents. Further studies are needed to elucidate the factors that determine such patterns., HELENA study received funding from the European Union’s Sixth RTD Framework Programme (Contract FOODCT-2005-007034). Additional support from the Spanish Ministry of Education (AGL2007-29784-E/ALI), Axis-Shield Diagnostics Ltd (Oslo, Norway), Abbot Científica S.A. (Spain). This analysis was also supported by the Spanish Ministry of Science and Innovation (JCI-2010-07055) with the contribution of the European Regional Development Fund (FEDER). The first author is supported by a grant from the Spanish Carlos III Health Institute: RD08/0072/0025 (Red SAMID: Maternal, Child Health and Development Research Network).

Published
2018

6. New indices in predicting cardiometabolic risk and its relation to endothelial dysfunction in adolescents: The HELENA study.

Author

Nogueira MDA, Braga RAM, Manios Y, Androutsos O, Molnár D, Polito A, Gómez-Martínez S, Béghin L, Widhalm K, Bueno G, Castillo MJ, De Henauw S, Moreno LA, and Maia CSC

Subjects
Female, Humans, Male, Adolescent, Cross-Sectional Studies, Triglycerides, Body Mass Index, Biomarkers, Insulin Resistance, Hypertension
Abstract

Background and Aims: Blood pressure (BP) changes and insulin resistance (IR) are important cardiometabolic risk (CMR) factors; their early identification can contribute to the reduction of cardiovascular events in adulthood. This necessitates the search for more accessible and easily applied indicators for their prediction. Therefore, this study aimed to evaluate the predictive power of the indices, TyG, TG/HDL-c, height-corrected lipid accumulation product (HLAP), and visceral adiposity index (VAI), in identifying the CMR obtained by high BP and IR and to verify their relationship with biomarkers of endothelial dysfunction (ED) in European adolescents., Methods and Results: The anthropometric data and blood biomarkers of 744 adolescents (343 boys and 401 girls) from the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study (HELENA-CSS), with a mean age of 14.67 (SD 1.15) years, were assessed. The adolescents were then classified according to the presence or absence of high BP and IR. The cut-off points of the indices evaluated for the identification of CMR were determined. The relationship between CMR diagnosed using these indices and ED biomarkers was tested. The HLAP and TG/HDL-c were fair predictors of CMR obtained by IR in male adolescents. These indices showed association with hsCRP in sVCAM-1 in boys, but it lost significance after adjusting for age and body mass index., Conclusion: TG/HDL-c and HLAP indices showed a fair performance in predicting CMR, obtained by IR, in male adolescents. ED showed no association with the CMR identified by the indices., Competing Interests: Conflict of interest The authors declare no conflicts of interest., (Copyright © 2023 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Published
2023
Full Text
View/download PDF

7. 1,25-dihydroxyvitamin D and cardiometabolic risk in healthy sedentary adults: The FIT-AGEING study.

Author

De-la-O A, Jurado-Fasoli L, Lavie CJ, Castillo MJ, Gutiérrez Á, and Amaro-Gahete FJ

Subjects
Adult, Blood Pressure, Body Mass Index, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Risk Factors, Vitamin D analogs & derivatives, Waist Circumference, Cardiovascular Diseases diagnosis, Cardiovascular Diseases epidemiology, Vitamin D Deficiency
Abstract

Background: A growing body of scientific works investigating the physio-pathological mechanisms behind cardiovascular disease has suggested that vitamin D deficiency could play a key role on its development. However, it remains unclear whether its active form (1,25-dihydroxyvitamin D [1,25(OH) 2 D] is associated with cardiometabolic risk factors in healthy individuals. The aim of the present study was to investigate the relationships of 1,25(OH) 2 D plasma levels with cardiometabolic risk factors in a sample of healthy sedentary adults., Methods: A total of 73 adults (~53% women; 54 ± 5 years old) were included in the current cross-sectional study. A sex-specific cardiometabolic risk score (MetScore) was calculated for each subject based on clinical parameters (i.e., waist circumference, systolic and diastolic blood pressure, plasma glucose, high-density lipoprotein cholesterol, and triglycerides) according to the International Diabetes Federation's clinical criteria. Plasma levels of 1,25(OH) 2 D were measured using a DiaSorin Liaison® immunochemiluminometric analyzer., Results: No significant association was detected between 1,25(OH) 2 D and MetScore (β = 0.037, R 2  = 0.001, p = 0.77), independently of age, sex and fat body mass index. A significant inverse association were observed between 1,25(OH) 2 D and waist circumference (β = -0,303, R 2  = 0.092, p = 0.01). These results were consistent after controlling by potential confounders., Conclusion: In summary, the present results suggest that 1,25(OH) 2 D plasma levels are not associated with either cardiometabolic risk factors or insulin resistance in healthy sedentary adults. However, an inverse association of 1,25(OH) 2 D plasma levels with central adiposity was observed in our study sample., (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)

Published
2021
Full Text
View/download PDF

8. Metabolic rate in sedentary adults, following different exercise training interventions: The FIT-AGEING randomized controlled trial.

Author

Amaro-Gahete FJ, De-la-O A, Jurado-Fasoli L, Sanchez-Delgado G, Ruiz JR, and Castillo MJ

Subjects
Adaptation, Physiological physiology, Adipose Tissue metabolism, Calorimetry, Indirect, Energy Metabolism, Female, High-Intensity Interval Training methods, Humans, Male, Middle Aged, Oxidation-Reduction, Oxygen Consumption, Basal Metabolism physiology, Electric Stimulation Therapy methods, Exercise physiology, Exercise Therapy methods, Sedentary Behavior
Abstract

Background & Aims: This study compares the influence of different exercise training programs on basal metabolic rate (BMR) and fat oxidation, in basal conditions (BFox) and during exercise (MFO), in sedentary, middle-aged adults., Methods: The study subjects of this 12 week-long, randomised controlled trial, were 71 middle-aged adults (age 53.5 ± 4.9 years; 52% women). Subjects were randomly assigned to one of the following groups: (1) no exercise, (2) concurrent training based on international physical activity recommendations (PAR group), (3) high intensity interval training (HIIT group), and (4) high intensity interval training plus whole-body electromyostimulation (HIIT + EMS group). Subject BMR, BFox and MFO were determined by indirect calorimetry before and after the intervention., Results: The HIIT + EMS subjects showed significant increases in BFox following the intervention compared with the control group (all P = 0.043); no such differences were seen in the PAR and HIIT compared with the control group (all P ≥ 0.1). A significant increase in post-intervention MFO was noted for the HIIT and HIIT + EMS group compared to the non-exercise control group (P < 0.05); no such difference was seen in the PAR group compared to the control group (all P ≥ 0.05)., Conclusions: Twelve weeks of high intensity interval training plus whole-body electromyostimulation may increase the BFox and MFO of middle-aged sedentary adults. These findings have important clinical implications; a well-designed high-intensity interval training program plus whole-body electromyostimulation might be followed to help combat the appearance of chronic metabolic diseases characterized by metabolic inflexibility in middle-aged sedentary adults, though it will be necessary to determine how long the effects last., Competing Interests: Conflict of Interest The authors declare no competing financial interests., (Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Published
2020
Full Text
View/download PDF

9. Alcohol consumption and S-Klotho plasma levels in sedentary healthy middle-aged adults: A cross sectional study.

Author

Jurado-Fasoli L, Amaro-Gahete FJ, De-la-O A, Gutiérrez Á, and Castillo MJ

Subjects
Adult, Aged, Alcohol Drinking epidemiology, Biomarkers blood, Cross-Sectional Studies, Female, Humans, Klotho Proteins, Male, Middle Aged, Aging blood, Alcohol Drinking blood, Alcoholic Beverages adverse effects, Glucuronidase blood, Sedentary Behavior
Abstract

Introduction: Alcohol consumption is related to several diseases and injuries that accelerate the ageing process and increase the mortality and morbidity risk. The soluble form of the α-Klotho gene (called S-Klotho) is widely considered as a powerful anti-ageing biomarker., Aim: The aim of the present study was to analyze the association between alcohol consumption and S-Klotho plasma levels in sedentary middle-aged adults., Methods: 74 (39 women) middle-aged sedentary adults (40-65 years old) participated in the present study. Alcohol consumption was assessed with a food frequency questionnaire previously validated and with three non-consecutive 24-hours recall. The S-Klotho plasma levels were measured by ELISA using a soluble α-Klotho ELISA assay kit., Results: Total alcoholic drinks consumption was negatively associated with S-Klotho plasma levels (β=-17.031; R 2  = 0.096, P = 0.013). Furthermore, we observed that higher consumption of total alcoholic drinks is associated with lower S-Klotho plasma levels in middle-aged sedentary adults controlling for BMI (β=-16.372; R 2  = 0.201, P = 0.011), LMI (β=-31.854; R 2  = 0.305, P = 0.010) and for FMI β=-13.337; R 2  = 0.075, P = 0.049)., Conclusion: In conclusion, our study shows that total alcoholic drinks consumption is negatively associated with the S-Klotho plasma levels in middle-aged sedentary adults., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Published
2019
Full Text
View/download PDF

10. Physical activity, sedentary time, TV viewing, physical fitness and cardiovascular disease risk in adolescents: The HELENA study.

Author

Barker AR, Gracia-Marco L, Ruiz JR, Castillo MJ, Aparicio-Ugarriza R, González-Gross M, Kafatos A, Androutsos O, Polito A, Molnar D, Widhalm K, and Moreno LA

Subjects
Adolescent, Cardiorespiratory Fitness physiology, Cardiovascular Diseases epidemiology, Cardiovascular Diseases physiopathology, Child, Cross-Sectional Studies, Europe epidemiology, Female, Humans, Male, Risk Factors, Time Factors, Waist Circumference physiology, Adolescent Behavior physiology, Cardiovascular Diseases prevention & control, Exercise physiology, Physical Fitness physiology, Sedentary Behavior, Television trends
Abstract

Background: To examine the independent associations between physical activity (PA) intensities, sedentary time (ST), TV viewing, cardiorespiratory fitness (CRF) and muscular fitness (MF) with cardiovascular disease (CVD) risk in youth., Methods: A cross-sectional study on 534 European adolescents (252 males, 282 females, 12.5-17.5years). Minutes per day of light (LPA), moderate (MPA) and vigorous (VPA) PA and total ST were measured using accelerometers. TV viewing time was measured using a questionnaire. CRF and MF were measured using the 20m shuttle run test and a hand dynamometer respectively. CVD outcomes included markers of body composition (body mass index (BMI), waist circumference (WC), WC/height (Ht) and sum of skinfolds (SumSF)), blood pressure, blood lipids and insulin resistance (HOMA-IR). Clustered CVD risk was calculated using SumSF, HOMA-IR, blood lipids and blood pressure., Results: LPA had a significant positive independent relationship with all body composition outcomes (P<0.001) and clustered CVD risk (P=0.046). VPA was negatively related to SumSF (P<0.001), BMI (P=0.018), WC/Ht (P=0.013) and clustered CVD risk (P=0.001), but was non-significant for all when other exposures were considered (P>0.10). MPA had a negative independent relationship with only WC (P=0.029) and ST was not significantly related to CVD risk (P>0.16). TV viewing had a significant positive independent relationship with HOMA-IR (P<0.001) and clustered CVD risk (P=0.019). CRF (all P<0.002) and MF (all P<0.009) had a negative independent relationship with body composition outcomes and clustered CVD risk., Conclusions: Public health guidelines should prioritize on increasing levels of CRF, MF and VPA, and reducing TV viewing time to lower CVD risk in youth., (Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.)

Published
2018
Full Text
View/download PDF

11. Fragmentation of daily rhythms associates with obesity and cardiorespiratory fitness in adolescents: The HELENA study.

Author

Garaulet M, Martinez-Nicolas A, Ruiz JR, Konstabel K, Labayen I, González-Gross M, Marcos A, Molnar D, Widhalm K, Casajús JA, De Henauw S, Kafatos A, Breidenassel C, Sjöström M, Castillo MJ, Moreno LA, Madrid JA, and Ortega FB

Subjects
Adiposity, Adolescent, Body Composition, Body Mass Index, Child, Cholesterol blood, Cross-Sectional Studies, Electric Impedance, Europe, Exercise, Female, Humans, Insulin blood, Male, Models, Theoretical, Risk Factors, Skinfold Thickness, Socioeconomic Factors, Triglycerides blood, Waist Circumference, Cardiorespiratory Fitness, Chronobiology Phenomena, Obesity metabolism
Abstract

Background & Aims: Chronobiology studies periodic changes in living organisms and it has been proposed as a promising approach to investigate obesity. We analyze the association of the characteristics of the rest-activity rhythms with obesity, cardiorespiratory fitness and metabolic risk in adolescents from nine European countries., Methods: 1044 adolescents (12.5-17.5 y) were studied. Circadian health was evaluated by actigraphy with accelerometers (Actigraph GT1M). Characteristics of the daytime activity such as fragmentation (intradaily variability), estimated acrophase, and 10 h mean daytime activity index were obtained. Body composition was assessed using Bioelectrical-Impedance-Analysis, skinfold thickness, air-displacement-plethysmography and Dual-energy-X-ray-Absorptiometry. Cardiorespiratory fitness (VO 2max ) and metabolic risk were studied., Results: Highly fragmented activity rhythms were associated with obesity and central adiposity (P < 0.05). Obese adolescents had ∼3 times higher odds of having a high fragmentation of daytime activity compared to normal weight adolescents OR (95% CI) = 2.8 (1.170, 6.443). A highly fragmented rhythm was also related to lower cardiorespiratory fitness and higher metabolic risk (P < 0.05) so those adolescents classified as low fitness showed a significantly higher fragmentation of daytime activity than those included in the high fitness group (P < 0.0001). Other characteristics of the rhythms such as smaller 10 h daytime mean activity index and delayed estimated acrophase were also related to obesity and metabolic risk (P < 0.05)., Conclusions: Our results indicate that the daily organization of the rest-activity cycle is more fragmented in obese and less fit adolescents and correlates with higher metabolic risk. This fact reinforces our hypothesis that disturbances in daily rhythms can be considered as sensitive markers of poorer adolescent's health., (Copyright © 2016 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Published
2017
Full Text
View/download PDF

12. Prevalence of ideal cardiovascular health in European adolescents: The HELENA study.

Author

Henriksson P, Henriksson H, Gracia-Marco L, Labayen I, Ortega FB, Huybrechts I, España-Romero V, Manios Y, Widhalm K, Dallongeville J, González-Gross M, Marcos A, Moreno LA, Castillo MJ, and Ruiz JR

Subjects
Adolescent, Cardiovascular Diseases blood, Cross-Sectional Studies, Europe epidemiology, Female, Humans, Male, Prevalence, Random Allocation, Cardiovascular Diseases epidemiology, Cardiovascular Diseases prevention & control, Exercise physiology, Health Behavior physiology, Healthy Lifestyle physiology, Nutritional Status physiology
Abstract

Background: The ideal cardiovascular health (iCVH) construct consists of 4 health behaviours and 3 health factors and is strongly related to later cardiovascular disease. However, the prevalence of iCVH in European adolescents is currently unknown., Methods: The Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study is a cross-sectional, multicentre study conducted in 9 European countries during 2006-2007 and included 3528 adolescents (1683 boys and 1845 girls) between 12.5 and 17.5years of age. Status (ideal vs. non-ideal) for the health behaviours (smoking status, body mass index, physical activity and diet) and health factors (total cholesterol, blood pressure and fasting glucose) were determined., Results: Overall, the prevalence of ideal health behaviours was low; non-smoking (60.9% ideal), body mass index (76.8%), physical activity (62.1%), and diet (1.7%). The prevalence of ideal health factors was; total cholesterol (65.8%), blood pressure (62.0%) and plasma glucose (88.8%)., Conclusions: The low prevalence of iCVH behaviours, especially diet and physical activity, identified in European adolescents is likely to influence later cardiovascular health which strongly motivates efforts to increase ideal health behaviours in this population., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Published
2017
Full Text
View/download PDF

13. Prevalence of Metabolically Healthy but Overweight/Obese Phenotype and Its Association With Sedentary Time, Physical Activity, and Fitness.

Author

Cadenas-Sanchez C, Ruiz JR, Labayen I, Huybrechts I, Manios Y, González-Gross M, Breidenassel C, Kafatos A, De Henauw S, Vanhelst J, Widhalm K, Molnar D, Bueno G, Censi L, Plada M, Sjöström M, Moreno LA, Castillo MJ, and Ortega FB

Subjects
Adolescent, Europe epidemiology, Female, Humans, Male, Overweight blood, Overweight epidemiology, Overweight physiopathology, Pediatric Obesity blood, Phenotype, Prevalence, Sedentary Behavior, Exercise, Pediatric Obesity epidemiology, Pediatric Obesity physiopathology, Physical Fitness
Abstract

Purpose: Childhood obesity is one of the major concerns in the last years due to the association with future health problems and all-cause mortality. However, there is a subset of adolescents with overweight/obesity who present a metabolic healthy profile. Therefore, the aim of this study was to examine the prevalence of metabolically healthy but overweight/obese adolescents and whether sedentary time, physical activity, and fitness differ between metabolically healthy and nonmetabolically healthy phenotypes., Methods: A subsample of 237 European adolescents from the HEalthy Lifestyle in Europe by Nutrition in Adolescence study (n = 3,528, participation rate: 61.3%) with overweight/obesity were included. The study sample was not fully representative for the European adolescent population. Based on sex- and age-specific metabolic syndrome cutoff points for triglycerides, glucose, blood pressure, and high-density cholesterol participants were classified as metabolically healthy or nonmetabolically healthy. Sedentary time, physical activity, and fitness were assessed by accelerometry and the Alpha battery, respectively., Results: The prevalence of metabolically healthy status in adolescents with overweight and obesity was higher in girls (87%) than in boys (74%, p = .019), being similar when only obesity was considered. Sedentary time was lower in metabolically healthy overweight/obese than in nonmetabolically healthy participants (mean difference = 48.0 minutes, p = .012). Moderate and moderate-to-vigorous physical activity were higher (p's < .05) in metabolically healthy than in nonmetabolically healthy adolescents with overweight/obesity (mean difference = 7.9 min/day and 10.9 min/day, respectively). No significant differences were found in fitness. Overall, these results persisted when only adolescents with obesity were included in the analyses., Conclusions: Metabolically healthy adolescents with overweight/obesity are less sedentary and more active than their nonmetabolically healthy peers with overweight/obesity, yet consistent differences in fitness were not observed., (Copyright © 2017 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.)

Published
2017
Full Text
View/download PDF

14. Clustering of multiple lifestyle behaviors and health-related fitness in European adolescents.

Author

Cuenca-García M, Huybrechts I, Ruiz JR, Ortega FB, Ottevaere C, González-Gross M, Moreno LA, Vicente-Rodríguez G, Molnár D, Polito A, Manios Y, Plada M, Vanhelst J, Widhalm K, Sjöström M, Kersting M, and Castillo MJ

Subjects
Adolescent, Analysis of Variance, Cluster Analysis, Europe epidemiology, Feeding Behavior, Female, Humans, Male, Surveys and Questionnaires, Activities of Daily Living classification, Motor Activity, Sedentary Behavior, Students statistics & numerical data
Abstract

Objective: To explore the clustering of different lifestyle behaviors and whether this clustering differs by gender, age, and health-related fitness., Design: Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study., Setting: Ten European cities., Participants: A total of 2,084 adolescents (12.5-17.5 years)., Main Outcome Measures: Four lifestyle behaviors were assessed by self-administered questionnaires: moderate to vigorous physical activity, homework time, screen time, and diet. Health-related fitness components (aerobic capacity, strength, speed-agility, and body composition) were assessed., Analysis: Hierarchical method and κ-means cluster analysis. Analysis of variance tests., Results: Five clusters were identified: Healthy diet and Active, Healthy diet and Academic, Healthy diet and Inactive, Unhealthy diet and Screen user, and Unhealthy diet and Active. Younger adolescents were more active and followed a healthier diet than older adolescents. Older boys devoted more time to screen use, whereas older girls devoted more time to homework. Boys in the Healthy diet and Active cluster presented higher aerobic capacity and speed-agility, whereas girls presented higher aerobic capacity, strength, and speed-agility., Conclusions and Implications: Clustering of different lifestyle behaviors is observed. Different healthy lifestyles do not always come together and clusters are associated with gender, age, and health-related fitness, but not with body composition. These differences need to be considered when developing intervention strategies for the prevention of unhealthy habits., (Copyright © 2013 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)

Published
2013
Full Text
View/download PDF

15. Longer breastfeeding is associated with increased lower body explosive strength during adolescence.

Author

Artero EG, Ortega FB, España-Romero V, Labayen I, Huybrechts I, Papadaki A, Rodriguez G, Mauro B, Widhalm K, Kersting M, Manios Y, Molnar D, Moreno LA, Sjöström M, Gottrand F, Castillo MJ, and De Henauw S

Subjects
Adolescent, Anthropometry, Athletic Performance statistics & numerical data, Child, Cross-Sectional Studies, Europe epidemiology, Female, Humans, Infant, Infant Nutritional Physiological Phenomena, Lower Extremity, Male, Nutrition Surveys, Physical Fitness, Statistics as Topic, Surveys and Questionnaires, Aging, Breast Feeding statistics & numerical data, Muscle Strength
Abstract

Our aim in this study was to examine the association between breastfeeding duration and cardiorespiratory fitness, isometric strength, and explosive strength during adolescence. A total of 2567 adolescents (1426 girls) from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study aged 12.5-17.5 y were included. Information about duration of any and exclusive breastfeeding was obtained retrospectively by means of a parental questionnaire. The 20-m shuttle run, handgrip strength, and standing long jump tests were used to assess physical fitness. Significant differences among the categories of breastfeeding duration were tested using ANCOVA after adjusting for a set of potential confounders: gestational and current age, birth weight, sexual maturation, fat mass, fat-free mass, maternal education, parental weight status, country, smoking behavior, and days of vigorous physical activity. Longer breastfeeding (either any or exclusive) was associated with a higher performance in the standing long jump test in both boys and girls (P < 0.001), regardless of fat mass, fat-free mass, and the rest of potential confounders. In adolescents who were breastfed for 3-5 mo or ≥6 mo, the risk of having a standing long jump performance below the 5th percentile was reduced by half compared with those who were never breastfed [odds ratio (OR) = 0.54, 95% CI = 0.30-0.96, P < 0.05; and OR = 0.40, 95% CI = 0.22-0.74, P < 0.01, respectively). These findings suggest a role of breastfeeding in determining lower body explosive strength during adolescence.

Published
2010
Full Text
View/download PDF

16. Hand span influences optimal grip span in boys and girls aged 6 to 12 years.

Author

España-Romero V, Artero EG, Santaliestra-Pasias AM, Gutierrez A, Castillo MJ, and Ruiz JR

Subjects
Analysis of Variance, Child, Female, Humans, Male, Models, Biological, Muscle Strength Dynamometer, Hand anatomy & histology, Hand Strength physiology, Sex Characteristics
Abstract

Purpose: The first aim was to determine whether there is an optimal grip span for determining the maximum hand grip strength in boys and girls aged 6 to 12 years and whether the optimal grip span was related to hand span. If so, the second aim was to derive a mathematical equation relating hand span and optimal grip span., Methods: A total of 123 boys (9 y +/- 2) and 70 girls (8 y +/- 2) were evaluated. Each hand was randomly tested on 10 occasions using 5 different grip spans, allowing a 1-minute rest between attempts. The hand span was measured from the tip of the thumb to the tip of the little finger with the hand opened widely., Results: An optimal grip span to determine maximum hand grip strength was identified for both genders. Hand span and optimal grip span showed a significant linear association in the studied children. The equation relating grip span as a function of hand span in boys is formulated as y = x/4 + 0.44 and in girls as y = 0.3x - 0.52, where x is the hand span (maximal width between first and fifth fingers) and y is the optimal grip span., Conclusions: The results suggest that there is an optimal grip span to which the dynamometer should be adjusted when measuring hand grip strength in children. The optimal grip span was influenced by hand span in both genders.

Published
2008
Full Text
View/download PDF

17. Hand span influences optimal grip span in male and female teenagers.

Author

Ruiz JR, España-Romero V, Ortega FB, Sjöström M, Castillo MJ, and Gutierrez A

Subjects
Adolescent, Algorithms, Female, Humans, Male, Models, Biological, Muscle Strength Dynamometer, Sex Characteristics, Hand anatomy & histology, Hand Strength physiology
Abstract

Purpose: To determine if there is an optimal grip span for determining the maximum handgrip strength in male and female teenagers, and if the optimal grip span was related to hand span. If they are related then the second aim was to derive a mathematic equation relating hand span and optimal grip span., Methods: One hundred healthy teenage boys (15.1 +/- 1.1 y) and 106 girls (15.4 +/- 1.3 y) were evaluated (age range, 13-18 y). Each hand was randomly tested on 10 occasions using 5 different grip spans, allowing a 1-minute rest between attempts. The hand span was measured from the tip of the thumb to the tip of the small finger with the hand opened as wide as possible., Results: The results showed that an optimal grip span to determine the maximum handgrip strength was identified for both genders, and the optimal grip span and hand span correlated in both genders., Conclusions: The results suggest that there is an optimal grip span to which the dynamometer should be adjusted when measuring handgrip strength in teenagers. The optimal grip span was influenced by hand span in both genders. For males the optimal grip span can be derived from the equation y = x/7.2 + 3.1 cm, and for females from the equation y = x/4 + 1.1 cm. where y is the optimal grip span and x is the hand-span. These equations may improve the reliability and accuracy of the results and may guide clinicians and researchers in selecting the optimal grip span on the hand dynamometer when measuring handgrip strength in teenagers.

Published
2006
Full Text
View/download PDF

18. Aerobic physical fitness in relation to blood lipids and fasting glycaemia in adolescents: influence of weight status.

Author

Mesa JL, Ruiz JR, Ortega FB, Wärnberg J, González-Lamuño D, Moreno LA, Gutiérrez A, and Castillo MJ

Subjects
Adolescent, Apolipoprotein A-I blood, Apolipoprotein B-100, Apolipoproteins B blood, Cholesterol, HDL blood, Cholesterol, LDL blood, Fasting blood, Female, Humans, Lipid Metabolism physiology, Male, Obesity metabolism, Sex Factors, Triglycerides blood, Blood Glucose metabolism, Body Weight physiology, Lipids blood, Obesity blood, Physical Fitness physiology
Abstract

Background and Aims: We explored the associations between aerobic physical fitness with blood lipids and a composite index of blood lipids and fasting glycaemia in adolescents, analysing possible interactions with weight status., Methods and Results: Body mass index and aerobic physical fitness was measured in 2090 adolescents (1034 males and 1056 females) 13-18.5 years by using the 20-m shuttle run test. Plasma glucose, total, high density lipoprotein (HDL) and low density lipoprotein (LDL) cholesterol, triglycerides, apolipoprotein (apo) A-I, apo B-100 and lipoprotein(a) [Lp(a)] were measured in 460 of the 2090 subjects. After adjustment for confounding factors, a continuously distributed summary score for blood lipids and fasting glycaemia was significantly related to aerobic fitness in males (P=0.018) and females (P=0.045, from the 2nd to the 4th quartile of aerobic fitness). After adjustment for gender, age, sexual maturation and economic status, aerobic fitness was related to the composite index of blood lipids and glycaemia in both overweight and non-overweight adolescents (P< 0.05). However, for the same level of aerobic fitness, the composite index of blood lipids and glycaemia was significantly higher in overweight adolescents (P=0.001). After setting the minimal aerobic fitness standards to present a healthy lipid profile, about 50% of males did not reach such values., Conclusion: Our data suggest that both aerobic fitness and weight management are associated with a composite index of blood lipids and glycaemia in adolescents. Our study also provides the minimal levels of aerobic physical fitness associated with a favourable lipid profile in male adolescents, a new tool which should be adopted by schools as "aerobic fitness standards".

Published
2006
Full Text
View/download PDF

19. Hand size influences optimal grip span in women but not in men.

Author

Ruiz-Ruiz J, Mesa JL, Gutiérrez A, and Castillo MJ

Subjects
Adult, Aged, Aged, 80 and over, Algorithms, Analysis of Variance, Female, Humans, Male, Middle Aged, Reference Values, Sex Factors, Statistics as Topic methods, Hand anatomy & histology, Hand physiology, Hand Strength physiology
Abstract

This study investigates which position (grip span) on the standard grip dynamometer results in maximum grip strength. Our null hypotheses included (1) no optimal grip span exists for measuring grip strength and (2) optimal grip span is unrelated to hand size. We also intended to derive a simple mathematical algorithm to adapt grip span to hand size. Seventy healthy subjects (40 women/30 men; mean age, 40 years; range; 20-80 years) free of upper-limb lesions were evaluated. Each hand was randomly tested on 10 occasions using 5 different grip spans. Our findings showed that (1) optimal grip span was identified for both genders and (2) hand size and optimal grip span correlated in women but not in men. When measuring handgrip strength in women, hand size must be taken into consideration. We provide a mathematical equation (y = x/5 + 1.5 cm) to adapt optimal grip span (y) to hand size (x) in women. In adult men, optimal grip span can be set at a fixed value (5.5 cm).

Published
2002
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results