Author: "Molnar D." / Language: english - Searchworks@Jio Institute Digital Library Search Results

517 results on '"Molnar D."'

1. Dietary sources of free sugars in the diet of European children: the IDEFICS Study

Author: Graffe, María Isabel Mesana, Pala, V., De Henauw, S., Eiben, G., Hadjigeorgiou, C., Iacoviello, L., Intemann, T., Jilani, H., Molnar, D., Russo, P., Veidebaum, T., and Moreno, L. A.
Published: 2020
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2. Blurring Sport Boundaries in Postsecondary: Examining Experiences of Dancers as Student-athletes.

Author: Tacuri, Natalie, Zinga, D., and Molnar, D. S.
Subjects: CHOREOGRAPHY, DANCE companies, PERFORMANCE, COLLEGE athletes, DANCERS
Abstract: Our research examined the student-athlete experience for university dancers transitioning from studio-based competitive dancing to the competitive university context. This experience was explored in a photovoice project with 12 dancers on a competitive university team in Southern Ontario. Collectively, the researchers and dancers established three themes to explore: (1) university athletics; (2) culture and identity changes; (3) motives to continue dancing. Throughout the competitive season, dancers selected pictures to reflect on the themes and provided an accompanying narrative for each photograph. Overall, dancers' responses identified distinct similarities and differences, benefits and challenges, and shifts in culture when transitioning from a competitive studio context to a competitive university context. Additionally, dancers described the profound impact of dance on their identities and how this impact shifted as a student-athlete in university. Finally, dancers expressed their appreciation and frustrations with how they perceived dance as being valued and resourced in postsecondary institutions. [ABSTRACT FROM AUTHOR]
Published: 2024
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3. Dietary sources of sugars in adolescents’ diet: the HELENA study

Author: Mesana, M. I., Hilbig, A., Androutsos, O., Cuenca-García, M., Dallongeville, J., Huybrechts, I., De Henauw, S., Widhalm, K., Kafatos, A., Nova, E., Marcos, A., González-Gross, M., Molnar, D., Gottrand, F., and Moreno, L. A.
Published: 2018
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4. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants

Author: Zhou, B, Lu, Y, Hajifathalian, K, Bentham, J, Di Cesare, M, Danaei, G, Bixby, H, Cowan, MJ, Ali, MK, Taddei, C, Lo, WC, Reis-Santos, B, Stevens, GA, Riley, LM, Miranda, JJ, Bjerregaard, P, Rivera, JA, Fouad, HM, Ma, G, Mbanya, JC, McGarvey, ST, Mohan, V, Onat, A, Pilav, A, Ramachandran, A, Romdhane, HB, Paciorek, CJ, Bennett, JE, Ezzati, M, Abdeen, ZA, Abdul Kadir, K, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Agyemang, C, Ahmadvand, A, Al-Othman, AR, Alkerwi, A, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Azizi, F, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Benet, M, Bernabe-Ortiz, A, Bharadwaj, S, Bhargava, SK, Bi, Y, Bjertness, E, Bjertness, MB, Björkelund, C, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Bovet, P, Brajkovich, I, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Dzerve, V, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Feskens, EJ, Finn, JD, Föger, B, Foo, LH, Forslund, AS, Francis, DK, Franco Mdo, C, Franco, OH, Frontera, G, Furusawa, T, Gaciong, Z, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Ghimire, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Gross, MG, González Rivas, JP, Gorbea, MB, Gottrand, F, Grafnetter, D, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hambleton, IR, Hardy, R, Hari Kumar, R, Hata, J, He, J, Heidemann, C, Herrala, S, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MM, Hu, Y, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jamil, KM, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Khalili, D, Khang, YH, Kiechl, S, Kim, J, Kolsteren, P, Korrovits, P, Kratzer, W, Kromhout, D, Kujala, UM, Kula, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Luksiene, D, Lundqvist, A, Lytsy, P, Machado-Coelho, GL, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Mallikharjuna Rao, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Mathiesen, EB, Matsha, TE, McFarlane, SR, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohd Yusoff, MF, Møller, NC, Molnár, D, Mondo, CK, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Motta, J, Mu, TT, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, NangThetia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nenko, I, Nervi, F, Nguyen, ND, Nguyen, QN, Nieto-Martínez, RE, Ning, G, Ninomiya, T, Noale, M, Noto, D, Nsour, MA, Ochoa-Avilés, AM, Oh, K, Ordunez, P, Osmond, C, Otero, JA, Owusu-Dabo, E, Pahomova, E, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pelletier, C, Peltonen, M, Peters, A, Peykari, N, Pham, ST, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Radisauskas, R, Rahman, M, Raitakari, O, Rao, SR, Ramke, J, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez-Artalejo, F, Rodriguez-Perez Mdel, C, Rodríguez-Villamizar, LA, Rojas-Martinez, R, Ronkainen, K, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Russo Horimoto, RV, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, D, dos Santos, RN, Santos, R, Saramies, JL, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Sein, AA, Sharma, SK, Shaw, JE, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, So, HK, Sobngwi, E, Söderberg, S, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Stathopoulou, MG, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Stronks, K, Strufaldi, MW, Sun, CA, Sundström, J, Sung, YT, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tamosiunas, A, Tang, L, Tarawneh, M, Tarqui-Mamani, CB, Taylor, A, Theobald, H, Thijs, L, Thuesen, BH, Tolonen, HK, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FA, Ulmer, H, Uusitalo, HM, Valdivia, G, Valvi, D, van Rossem, L, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WM, Verstraeten, R, Viet, L, Vioque, J, Virtanen, JK, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Wan Mohamud, WN, Wang, F, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wijga, AH, Wilks, RJ, Willeit, J, Wilsgaard, T, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, SL, Xu, H, Yan, W, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, Zheng, Y, and Zuñiga Cisneros, J
Published: 2016
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5. Championing the use of people-first language in childhood overweight and obesity to address weight bias and stigma : A joint statement from the European-Childhood-Obesity-Group (ECOG), the European-Coalition-for-People-Living-with-Obesity (ECPO), the International-Paediatric-Association (IPA), Obesity-Canada, the European-Association-for-the-Study-of-Obesity Childhood-Obesity-Task-Force (EASO-COTF), Obesity Action Coalition (OAC), The Obesity Society (TOS) and the World-Obesity-Federation (WOF)

Author: Weghuber, D., Khandpur, N., Boyland, E., Mazur, A., Frelut, M.L., Forslund, A., Vlachopapadopoulou, E., Erhardt, Vania, A., Molnar, D., Ring-Dimitriou, S., Caroli, M., Mooney, V., Forhan, M., Ramos-Salas, X., Pulungan, A., Holms, J.C., O'Malley, G., Baker, J.L., Jastreboff, A.M., Baur, L., and Thivel, D.
Subjects: Nutrition and Disease, Voeding en Ziekte, Life Science
Published: 2023

6. Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants

Author: Danaei, G, Fahimi, S, Lu, Y, Zhou, B, Hajifathalian, K, Di Cesare, M, Lo, WC, Reis-Santos, B, Cowan, MJ, Shaw, JE, Bentham, J, Lin, JK, Bixby, H, Magliano, D, Bovet, P, Miranda, JJ, Khang, YH, Stevens, GA, Riley, LM, Ali, MK, Ezzati, M, Abdeen, ZA, Kadir, KA, Abu-Rmeileh, M, Acosta-Cazares, B, Aekplakorn, W, Aguilar-Salinas, CA, Ahmadvand, A, Al Nsour, M, Alkerwi, A, Amouyel, P, Andersen, LB, Anderssen, SA, Andrade, DS, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Ben Romdhane, H, Bernabe-Ortiz, A, Bhargava, SK, Bi, Y, Bjerregaard, P, Björkelund, C, Blake, M, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Brajkovich, I, Breckenkamp, J, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carvalho, MJ, Casanueva, FF, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Finn, JD, Föger, B, Foo, LH, Fouad, HM, Francis, DK, Franco Mdo, C, Frontera, G, Furusawa, T, Gaciong, Z, Galbarczyk, A, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemain, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Gonzalez Gross, M, González Rivas, JP, Gorbea, MB, Gottrand, F, Grant, JF, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hardy, R, Hari Kumar, R, Heidemann, C, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Horimoto, AR, Hormiga, CM, Horta, BL, Houti, L, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Kiechl, S, Kim, J, Kiyohara, Y, Kolsteren, P, Korrovits, P, Koskinen, S, Kratzer, W, Kromhout, D, Kula, K, Kurjata, P, Kyobutungi, C, Lachat, C, Laid, Y, Lam, TH, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Lundqvist, A, Lytsy, P, Ma, G, Machado-Coelho, GL, Machi, S, Maggi, S, Makdisse, M, Mallikharjuna v, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Matsha, TE, Mbanya, JC, McFarlane, SR, McGarvey, ST, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohan, V, Mohd Yusoff, MF, Møller, NC, Molnar, D, Mondo, CK, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, Nangia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nervi, F, Nguyen, ND, Nieto-Martínez, RE, Alvarado, L, Ning, G, Ninomiya, T, Noale, M, Noto, D, Ochoa-Avilés, M, Oh, K, Onat, A, Osmond, C, Otero, JA, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pereira, AC, Peters, A, Peykari, N, Pilav, A, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Raitakari, O, Ramachandra Rao, S, Ramachandran, A, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez, LA, Rodríguez-Artalejo, F, del Cristo Rodriguez-Perez, M, Rojas-Martinez, R, Romaguera, D, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, RN, Santos, R, Sardinha, LB, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Strufaldi, MW, Sun, CA, Sundström, J, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tarawneh, M, Tarqui-Mamani, CB, Thijs, L, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FM, Ulmer, H, Valdivia, G, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, M, Vioque, J, Virtanen, J, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Wade, AN, Wagner, A, Walton, J, Mohamud, WN, Wang, MD, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wilks, RJ, Willeit, J, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, AG, Wu, FC, Wu, SL, Xu, H, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, and Zheng, Y
Published: 2015
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7. Results of paleoecological studies in the loess region of Szeged-Öthalom (SE Hungary)

Author: Sümegi, P., Náfrádi, K., Molnár, D., and Sávai, Sz.
Published: 2015
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8. Fruit and vegetables consumption is associated with higher vitamin intake and blood vitamin status among European adolescents

Author: Mielgo-Ayuso, J, Valtueña, J, Huybrechts, I, Breidenassel, C, Cuenca-García, M, De Henauw, S, Stehle, P, Kafatos, A, Kersting, M, Widhalm, K, Manios, Y, Azzini, E, Molnar, D, Moreno, L A, and González-Gross, M
Published: 2017
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9. Sleep time and cardiovascular risk factors in adolescents: The HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study

Author: Rey-López, J.P., de Carvalho, H.B., de Moraes, A.C.F., Ruiz, J.R., Sjöström, M., Marcos, A., Polito, A., Gottrand, F., Manios, Y., Kafatos, A., Molnar, D., Widhalm, K., De Henauw, S., and Moreno, L.A.
Published: 2014
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10. Whole-blood fatty acids and inflammation in European children: the IDEFICS Study

Author: Gonzalez-Gil, E.M., Santabarbara, J., Siani, A., Ahrens, W., Sioen, I., Eiben, G., Gunther, K., Iacoviello, L., Molnar, D., Rise, P., Russo, P., Tornaritis, M., Veidebaum, T., Galli, C., and Moreno, L.A.
Subjects: Inflammation -- Physiological aspects, Fatty acids -- Health aspects, Children -- Health aspects, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: Fatty acids are hypothesized to influence cardiovascular disease risk because of their effect on inflammation. The aim of this study is to assess the relationship between whole-blood fatty acids (WBFAs) and high- sensitivity C-reactive protein (hs-CRP) in European children. SUBJECTS/METHODS: A total of 1401 subjects (697 boys and 704 girls) aged between 2 and 9 years from the IDEFICS (/dentification and prevention of Dietary- and lifestyle-induced health Effects in Children and infantS) study were measured in this cross-sectional analysis. The sample was divided into three categories of hs-CRP. Associations between WBFA and hs-CRP were assessed by logistic regression models adjusting for body mass index (BMI), country, age, breastfeeding, mother's education and hours of physical activity. RESULTS: Linoleic acid (LA) (P = 0.013, 95% confidence interval (CI): 0.822-0.977) and sum of n-6 WBFA (P=0.029,95% CI: 0.866-0.992) concentrations were associated with lower concentrations of hs-CRP in boys. In girls, a high ratio of eicosapentaenoic acid (EPA)/arachidonic acid (AA) was associated (P=0.018, 95% CI: 0.892-0.989) with lower hs-CRP concentrations. In contrast, sum of blood n-6 highly unsaturated fatty acids (P = 0.012, 95% CI: 1.031-1.284), AA (P=0.007, 95% CI: 1.053-1.395) and AA/LA ratio (P = 0.005, 95% CI: 1.102-1.703) were associated (P < 0.05) with higher concentrations of hs-CRP in girls. CONCLUSIONS: The n-6 WBFAs (sum of n-6 FA and LA) were associated with lower hs-CRP in boys and with higher hs-CRP in girls (AA, sum of n-6 highly unsaturated and AA/LA ratio). More studies are needed to identify the optimal levels of WBFAs to avoid low-grade inflammation in children considering the differences by sex and BMI. European Journal of Clinical Nutrition (2016) 70, 819-823; doi: 10.1038/ejcn.2015.219; published online 13 January 2016, INTRODUCTION Low-grade chronic inflammation is related with obesity (1-3) and with the onset and development of atherosclerosis. (1,4) Athero-sclerosis development is characterized by an interaction between vascular endothelial cells and [...]
Published: 2016
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11. Influence of physical fitness on cardio-metabolic risk factors in European children. The IDEFICS study

Author: Zaqout, M, Michels, N, Bammann, K, Ahrens, W, Sprengeler, O, Molnar, D, Hadjigeorgiou, C, Eiben, G, Konstabel, K, Russo, P, Jiménez-Pavón, D, Moreno, L A, and De Henauw, S
Published: 2016
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12. Electro-thermal FEM simulations of the 13 kA LHC joints

Author: Molnar, D., Verweij, A.P., and Bielert, E.R.
Published: 2013
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13. Clustering of lifestyle behaviours and relation to body composition in European children. The IDEFICS study

Author: Santaliestra-Pasias, A.M., Mouratidou, T., Reisch, L., Pigeot, I., Ahrens, W., Marild, S., Molnar, D., Siani, A., Sieri, S., Tornatiris, M., Veidebaum, T., Verbestel, V., De Bourdeaudhuij, I., and Moreno, L.A.
Subjects: Body composition -- Social aspects -- Health aspects, Life style -- Health aspects, Children -- Behavior, Food/cooking/nutrition, Health
Abstract: BACKGROUND: Dietary patterns, physical activity (PA) and sedentary behaviours are some of the main behavioural determinants of obesity; their combined influence in children has been addressed in a limited number of studies. SUBJECTS/METHODS: Children (16 228) aged 2-9 years old from eight European countries participated in the baseline survey of the IDEFICS study. A subsample of 11 674 children (50.8% males) were included in the present study. Children's food and beverage consumption (fruit and vegetables (F&V) and sugar-sweetened beverages (SSBs)), PA and sedentary behaviours were assessed via parental questionnaires. Sex-specific cluster analysis was applied to identify behavioural clusters. Analysis of covariance and logistic regression were applied to examine the association between behavioural clusters and body composition indicators (BCIs). RESULTS: Six behavioural clusters were identified (C1-C6) both in boys and girls. In both sexes, clusters characterised by high level of PA (C1 and C3) included a large proportion of older children, whereas clusters characterised by low SSB consumption (C5 and C6) included a large proportion of younger children. Significant associations between derived clusters and BCI were observed only in boys; those boys in the cluster with the highest time spent in sedentary activities and low PA had increased odds of having a body mass index z-score (odds ratio (OR) = 1.33;95% confidence interval (CI) = (1.01, 1.74)) and a waist circumference z- score (OR = 1.41; 95%CI = (1.06, 1.86)) greater than one. CONCLUSION: Clusters characterised by high sedentary behaviour, low F&V and SSB consumption and low PA turned out to be the most obesogenic factors in this sample of European children. European Journal of Clinical Nutrition (2015) 69, 811-816; doi:10.1038/ejcn.2015.76; published online 3 June 2015, INTRODUCTION Changes in multiple lifestyle behaviours contributing to energy imbalance are required in successful multi-factorial approaches of obesity prevention. (1) Dietary patterns, physical activity (PA) and sedentary behaviours are some [...]
Published: 2015
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14. Inflammation profile in overweight/obese adolescents in Europe: an analysis in relation to iron status

Author: Ferrari, M., Cuenca-Garcia, M., Valtuena, J., Moreno, L.A., Censi, L., Gonzalez-Gross, M., Androutsos, O., Gilbert, C.C., Huybrechts, I., Dallongeville, J., Sjostrom, M., Molnar, D., De Henauw, S., Gomez-Martinez, S., de Moraes, A.C.F., Kafatos, A., Widhalm, K., and Leclercq, C.
Subjects: Obesity -- Physiological aspects, Inflammation -- Physiological aspects, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: The objectives of this study were to investigate the relationship between inflammatory parameters (CRP, c-reactive protein; AGP, [alpha]1-acid glycoprotein), iron status indicators (SF, serum ferritin; sTfR, soluble transferrin receptor) and body mass index (BMI) z-score, fat-free mass (FFM) and fat mass (FM) in European adolescents. Differences in intake for some nutrients (total iron, haem and non-haem iron, vitamin C, calcium, proteins) were assessed according to BMI categories, and the association of nutrient intakes with BMI z-score, FM and FFM was evaluated. METHODS: A total of 876 adolescents participating in the Healthy Lifestyle in Europe by Nutrition in Adolescence-Cross Sectional Study were included in the study sample. RESULTS: Mean CRP values (standard error; s.e.) were significantly higher in overweight/obese adolescents (1.7 [+ or - ] 0.3 and 1.4 [+ or -] 0.3 mg/l in boys and girls, respectively) than in thin/normal-weight adolescents (1.1 [+ or -] 0.2 and 1.0 [+ or -]0.1 mg/l in boys and girls, respectively) (P < 0.05). For boys, mean SF values (s.e.) were significantly higher in overweight/obese adolescents (46.9 [+ or -] 2.7 [micro]g/l) than in thin/normal-weight adolescents (35.7 [+ or -] 1.7 [micro]g/l) (P < 0.001), whereas median sTfR values did not differ among BMI categories for both boys and girls. Multilevel regression analyses showed that BMI z-score and FM were significantly related to CRP and AGP (P < 0.05). Dietary variables did not differ significantly among BMI categories, except for the intake of vegetable proteins, which, for boys, was higher in thin/normal-weight adolescents than in overweight/obese adolescents (P < 0.05). CONCLUSIONS: The adiposity of the European adolescents was sufficient to cause chronic inflammation but not sufficient to impair iron status and cause iron deficiency. European Journal of Clinical Nutrition (2015) 69, 247-255; doi:10.1038/ejcn.2014.154; published online 10 September 2014, INTRODUCTION There is growing evidence that obesity is characterised by a chronic, low-grade, systemic inflammation (1, 2) that may have a causal role in the development of several diseases such [...]
Published: 2015
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15. Sensitivity tuning of A 3-axial piezoresistive force sensor

Author: Molnár, D., Pongrácz, A., Ádám, M., Hajnal, Z., Timárné, V., and Battistig, G.
Published: 2012
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16. Common genetic variation in obesity, lipid transfer genes and risk of Metabolic Syndrome: Results from IDEFICS/I.Family study and meta-analysis

Author: Nagrani R., Foraita R., Gianfagna F., Iacoviello L., Marild S., Michels N., Molnar D., Moreno L., Russo P., Veidebaum T., Ahrens W., and Marron M.
Subjects: Adult, Male, FTO RS9939609 POLYMORPHISM, obesity, Pediatric Obesity, SUSCEPTIBILITY LOCI, Metabolic disorders, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, lcsh:Medicine, Polymorphism, Single Nucleotide, Article, QUALITY-CONTROL, Medicine and Health Sciences, Humans, Family, GENOME-WIDE ASSOCIATION, Child, lcsh:Science, Genetic association study, Metabolic Syndrome, Multidisciplinary, COMPONENTS, lcsh:R, Diagnostic markers, Risk factors, Cholesterol Ester Transfer Proteins, WEIGHT-GAIN, meta-analysis, BODY-MASS INDEX, PHYSICAL-ACTIVITY, Child, Preschool, Female, lcsh:Q, genetic, FAT-MASS, Chromosomes, Human, Pair 16, VARIANT RS9939609
Abstract: As the prevalence of metabolic syndrome (MetS) in children and young adults is increasing, a better understanding of genetics that underlie MetS will provide critical insights into the origin of the disease. We examined associations of common genetic variants and repeated MetS score from early childhood to adolescence in a pan-European, prospective IDEFICS/I.Family cohort study with baseline survey and follow-up examinations after two and six years. We tested associations in 3067 children using a linear mixed model and confirmed the results with meta-analysis of identified SNPs. With a stringent Bonferroni adjustment for multiple comparisons we obtained significant associations(p 0.85) in the 16q12.2 non-coding intronic chromosomal region of FTO gene with strongest association observed for rs8050136 (effect size(β) = 0.31, pWald = 1.52 × 10−5). We also observed a strong association of rs708272 in CETP with increased HDL (p = 5.63 × 10−40) and decreased TRG (p = 9.60 × 10−5) levels. These findings along with meta-analysis advance etiologic understanding of childhood MetS, highlighting that genetic predisposition to MetS is largely driven by genes of obesity and lipid metabolism. Inclusion of the associated genetic variants in polygenic scores for MetS may prove to be fundamental for identifying children and subsequently adults of the high-risk group to allow earlier targeted interventions.
Published: 2020

17. Functional glucokinase regulator gene variants have inverse effects on triglyceride and glucose levels, and decrease the risk of obesity in children

Author: Horvatovich, K., Bokor, S., Polgar, N., Kisfali, P., Hadarits, F., Jaromi, L., Csongei, V., Repasy, J., Molnar, D., and Melegh, B.
Published: 2011
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18. No breakfast at home: association with cardiovascular disease risk factors in childhood

Author: Papoutsou, S., Briassoulis, G., Wolters, M., Peplies, J., Iacoviello, L., Eiben, G., Veidebaum, T., Molnar, D., Russo, P., Michels, N., Moreno, L.A., and Tornaritis, M.
Subjects: Breakfasts -- Health aspects -- Demographic aspects, Cardiovascular research, Children -- Health aspects, Cardiovascular diseases -- Risk factors -- Demographic aspects, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: Limited data exist regarding breakfast consumption and its association with cardiovascular disease (CVD) risk factors. This study investigates the relationship between breakfast routine and CVD risk factors in a multinational sample. SUBJECTS/METHODS: Cross-sectional data from eight European countries participating in the IDEFICS (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) survey (2007-2008) were used. The sample included children 2 to RESULTS: Male school-aged NBrH consumers, compared with DBrH consumers, were more likely to be overweight/obese (odds ratio (OR): 1.37, 95% confidence interval (CI) = 1.05-1.79), to have higher risk for high-density lipoprotein (HDL) cholesterol levels lower than 40 mg/dl (OR: 1.69, 95% CI = 1.24-2.30), triglycerides (TG) above 75 mg/dl (OR: 1.65, 95% CI = 1.24-2.19) and sum of skinfolds greater than the 90th percentile (OR: 1.32, 95% CI = 1.0-1.76). Female school-aged NBrH consumers compared with DBrH consumers had a higher risk for waist circumference greater than the 90th percentile (OR: 1.70, 95% CI = 1.14-2.51), HDL cholesterol levels lower than 40 mg/dl (OR: 1.65, 95% CI = 1.23-2.21), TG above 75 mg/dl (OR: 1.65, 95% CI = 1.26-2.17) and total cholesterol/ HDL cholesterol ratio >3.5 (OR: 1.39, 95% CI = 1.09-1.77). Results remained significant after adjusting for daily physical activity in moderate-to-vigorous physical activity (MVPA) periods (in min/day). Male DBrH consumers, 6 to < 10 years of age, had longer daily periods of MVPA compared with NBrH consumers (32.0 [+ or -] 21.4 vs 27.5 [+ or -] 18.8, P CONCLUSIONS: Daily breakfast consumption contributes to controlling school-aged children's weight and lipid profile and promotes higher PA. 10.1038/ejcn.2014.88; published online 21 May 2014, INTRODUCTION Risk factors that accelerate the development of atherosclerotic cardiovascular disease (CVD) begin in childhood. Among others, obesity, lipid levels, blood pressure levels, physical avtivity (PA), age and gender are [...]
Published: 2014
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19. European children's sugar intake on weekdays versus weekends: the IDEFICS study

Author: Svensson, A., Larsson, C., Eiben, G., Lanfer, A., Pala, V., Hebestreit, A., Huybrechts, I., Fernandez-Alvira, J.M., Russo, P., Koni, A.C., De Henauw, S., Veidebaum, T., Molnar, D., and Lissner, L.
Subjects: Medical research, Medicine, Experimental, Children -- Health aspects, Sugar -- Health aspects -- Demographic aspects, Food/cooking/nutrition, Health
Abstract: OBJECTIVES: To compare the intake of total sugars, foods and drinks rich in added sugar, and energy in children on weekdays (Monday-Thursday), Fridays and weekends. METHODS: Dietary intake (g, kJ, energy %) was assessed using a computerized 24-h recall method in a sample of 2- to 9-year-old children from Belgium, Cyprus, Estonia, Germany, Hungary, Italy, Spain and Sweden who were participating in the IDEFICS baseline study (2007-2008). Analyses were performed in 9497 children by selecting one 24-h recall per child (for comparison of weekdays vs weekends, and Fridays vs weekdays and weekends). Selected stratified analyses were performed by country and age group. RESULTS: Intake of total sugars exceeded 20 energy % in all countries but one. In the non-stratified analyses, the intakes of total sugars and foods and drinks rich in added sugar were found to be higher on weekends compared with weekdays (both P < 0.001), and intakes on Fridays were a mix between intakes on weekdays and weekends. Energy intake did not differ between weekdays and weekends. Results were somewhat heterogeneous, both across countries and age groups. CONCLUSIONS: High intake of sugar remains an important nutritional problem in children of many European countries. Interventions aiming to prevent this diet pattern may optimize their impact by targeting dietary habits on Fridays and weekends. Furthermore, when conducting dietary assessment in children, data from weekends and Fridays in combination with a selection of Mondays to Thursdays are needed to capture habitual sugar intake. Age and dietary cultures should also be considered in dietary intervention and assessment as effect modifications were seen for both age and country. doi:10.1038/ejcn.2014.87; published online 14 May 2014, INTRODUCTION There is currently no common European recommendation for sugar intake. (1) However, reducing the amount of sugar consumed is one of the most important dietary interventions to improve childhood [...]
Published: 2014
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20. The role of dietary fat on the association between dietary amino acids and serum lipid profile in European adolescents participating in the HELENA Study

Author: Bel-Serrat, S., Mouratidou, T., Huybrechts, I., Cuenca-Garcia, M., Manios, Y., Gomez-Martinez, S., Molnar, D., Kafatos, A., Gottrand, F., Widhalm, K., Sjostrom, M., Wastlund, A., Stehle, P., Azzini, E., Vyncke, K., Gonzalez-Gross, M., and Moreno, L.A.
Subjects: Dietary fat -- Measurement, Amino acids -- Measurement, Teenagers -- Food and nutrition, Youth -- Food and nutrition, Blood lipids -- Measurement, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: The objective of this study was to examine the relationship between amino acid (AA) intake and serum lipid profile in European adolescents from eight European cities participating in the cross-sectional (2006-2007) HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study, and to assess whether this association was independent of total fat intake. SUBJECTS/METHODS: Diet, skinfold thickness, triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), TC/HDL-c ratio, low-density lipoprotein cholesterol (LDL-c), apolipoprotein B (Apo B), apolipoprotein A1 (Apo A1) and Apo B/Apo A1 ratio were measured in 454 12.5- to 17.5-year-old adolescents (44% boys). Intake was assessed via two non-consecutive 24-h dietary recalls. Data on maternal education and sedentary behaviors were obtained via questionnaires. Physical activity was objectively measured by accelerometry. RESULTS: Alanine, arginine, asparaginic acid, glycine, histidine, lysine and serine intakes were inversely associated with serum TG concentrations in both boys and girls. Intake of other AA like alanine and/or arginine was also inversely associated with serum TC, LDL-c and Apo B/Apo A1 ratio only in girls. An inverse association was observed between intakes of alanine, isoleucine, leucine, methionine, serine, tryptophan, tyrosine and valine and TC/HDL-c ratio among female adolescents. Similar results were found in males for serine and tryptophan intakes. It is noteworthy, however, that associations were no longer significant in both genders when total fat intake was considered as a confounding factor. CONCLUSIONS: In this sample of adolescents, the association between AA intakes and serum lipid profile did not persist when dietary fat was considered. Therefore, dietary interventions and health promotion activities should focus on fat intake to improve lipid profile and potentially prevent cardiovascular disease. European Journal of Clinical Nutrition (2014) 68, 464-473; doi: 10.1038/ejcn.2013.284; published online 5 February 2014 Keywords: amino acids; lipoproteins; dietary fat; adolescence, INTRODUCTION Cardiovascular diseases (CVD) are the number one cause of death worldwide, equally affecting men and women, not only in high-income countries, but also across those of low and middle [...]
Published: 2014
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21. Increased sedentary behaviour is associated with unhealthy dietary patterns in European adolescents participating in the HELENA study

Author: Santaliestra-Pasias, A.M., Mouratidou, T., Huybrechts, I., Beghin, L., Cuenca-Garcia, M., Castillo, M.J., Galfo, M., Hallstrom, L., Kafatos, A., Manios, Y., Marcos, A., Molnar, D., Plada, M., Pedrero-Chamizo, R., Widhalm, K., De Bourdeaudhuij, I., and Moreno, L.A.
Subjects: Sedentary behavior -- Health aspects, Psychological research, Food habits -- Health aspects, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: To assess dietary patterns (DPs) in European adolescents and to examine their relationship with several indicators of sedentary behaviour. SUBJECTS/METHODS: A multinational cross-sectional study was carried out in 2202 adolescents (45.4% boys) aged 12.5-17.5 years. A self-reported questionnaire with information on sedentary behaviours, separately for weekdays and weekend days, and two non-consecutive 24 h-recalls were used. Principal component analysis was used to obtain DPs, and linear regression examined the association between DPs scores and sedentary behaviour. RESULTS: Four DPs for boys ('plant based', 'snacking', 'breakfast' and 'health conscious') and five DPs for girls ('confectionary and snacking', 'plant based', 'breakfast', 'animal protein' and 'health conscious') were obtained. Boys who spent >4h/day watching television (TV) had lower adherence to the 'plant based', 'breakfast' and 'health conscious' DPs, and higher adherence to the 'snacking' DP. Higher computer use and internet use for recreational reason were associated with higher adherence to the 'snacking' DP. In girls, TV viewing and using internet for recreational reasons for >4h/day was associated with higher adherence to the 'confectionary and snacking' and lower adherence with 'health conscious' DP. Also, studying between 2 and 4h during weekend days was associated with lower adherence to the 'snacking' and with higher adherence to the 'plant based' and 'breakfast' DPs. CONCLUSION: Adolescents' DPs are related with the time spent in several sedentary behaviours. Such findings may help to generate interventions focusing on decreasing unhealthy dietary habits and specific sedentary behaviours. European Journal of Clinical Nutrition (2014) 68, 300-308;doi:10.1038/ejcn.2013.170; published online 18 September 2013 Keywords: sedentary behaviours; dietary patterns; television; adolescents, INTRODUCTION Dietary pattern (DP) analysis has emerged as an alternative and complementary approach to addressing diet-diseases associations. (1) Traditional analysis in nutritional epidemiology typically reflects diet in relation to a [...]
Published: 2014
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22. Young children's screen activities, sweet drink consumption and anthropometry: results from a prospective European study

Author: Olafsdottir, S., Berg, C., Eiben, G., Lanfer, A., Reisch, L., Ahrens, W., Kourides, Y., Molnar, D., Moreno, L.A., Siani, A., Veidebaum, T., and Lissner, L.
Subjects: Obesity in children -- Research -- Risk factors, Television and children -- Research -- Health aspects, Carbonated beverages -- Health aspects, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: This longitudinal study describes the relationship between young children's screen time, dietary habits and anthropometric measures. The hypothesis was that television viewing and other screen activities at baseline result in increased consumption of sugar-sweetened beverages (SSB) and increased BMI, BMI z-score and waist to height ratio (WHtR) two years later. A second hypothesis was that SSB consumption mediates the association between the screen activities and changes in the anthropometric measures. SUBJECTS/METHODS: The study is a part of the prospective cohort study IDEFICS ('Identification and prevention of dietary and lifestyle-induced health effects in children and infants'), investigating diet, lifestyle and social determinants of obesity in 2 to 9-year-olds in eight European countries (baseline n = 16 225, two-year follow- up; n = 11 038). Anthropometry was objectively measured, and behaviours were parent-reported. RESULTS: The main hypothesis was supported, but the second hypothesis was not confirmed. The odds ratio of being in the highest quintile of % change in WHtR was 1.26 (95% CI: 1.17-1.36) and in BMI 1.22 (95% CI: 1.13-1.31), for each hour per day watching television. The odds ratio of having increased SSB consumption was 1.19 (95% CI: 1.09-1.29) for each hour per day watching TV. The associations for total screen time were slightly weaker. CONCLUSIONS: The results indicate substantial effects of TV viewing and other screen activities for young children, both on their consumption of sugary drinks and on an increase in BMI and central obesity. Our findings suggest that television viewing seems to have a stronger effect on food habits and anthropometry than other screen activities in this age group. European Journal of Clinical Nutrition (2014) 68, 223-228; doi: 10.1038/ejcn.2013.234; published online 20 November 2013 Keywords: Children; screen time; television; soft drinks; overweight, INTRODUCTION Childhood obesity has a complex etiology and, according to a recent review, has long-term effects into adulthood, including premature mortality and morbidity. (1) Systematic reviews (2,3) and pooled analysis [...]
Published: 2014
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23. Dietary patterns and longitudinal change in body mass in European children: a follow-up study on the IDEFICS multicenter cohort

Author: Pala, V., Lissner, L., Hebestreit, A., Lanfer, A., Sieri, S., Siani, A., Huybrechts, I., Kambek, L., Molnar, D., Tornaritis, M., Moreno, L., Ahrens, W., and Krogh, V.
Subjects: Obesity in children -- Prevention, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: Longitudinal studies investigating dietary patterns (DPs) and their association with childhood overweight/obesity are lacking in Europe. We identified DPs and investigated their association with overweight/obesity and changes in body mass index (BMI) in a cohort of European children. SUBJECTS/METHODS: Children aged 2-10 from eight European countries were recruited in 2007-2008. Food frequency questionnaires were collected from 14989 children. BMI and BMI z-scores were derived from height and weight and were used to identify overweight/obese children. After 2 years (mean), anthropometric measurements were repeated in 9427 children. Principal component analysis was used to identify DPs. Simplified DPs (SDPs) were derived from DPs. Adjusted odds ratios (ORs) for overweight/obesity with increasing DP intake were estimated using multilevel logistic regression. Associations of BMI change with DP and SDP were assessed by multilevel mixed regression. Models were adjusted for baseline BMI, age, sex, physical activity and family income. RESULTS: Four DPs were identified that explained 25% of food intake variance: snacking, sweet and fat, vegetables and wholemeal, and protein and water. After 2 years, 849(9%) children became overweight/obese. Children in the highest vegetables and wholemeal tertile had lower risk of becoming overweight/obese (OR: 0.69, 95% confidence intervals (CIs): 0.54-0.88). Children in the highest SDP tertile of vegetables and wholemeal had similarly lower risk of becoming overweight/obese (OR: 0.64, 95% CIs: 0.51-0.82), and their BMI increased by 0.7 kg/[m.sup.2] over the study period-- significantly less than the increase in the lowest tertile (0.84 kg/[m.sup.2]). CONCLUSIONS: Our findings suggest that promoting a diet rich in vegetables and wholemeal cereals may counteract overweight/obesity in children. European Journal of Clinical Nutrition (2013) 67, 1042-1049; doi: 10.1038/ejcn.2013.145; published online 14 August 2013 Keywords: dietary patterns; simplified dietary patterns; children; body mass index; overweight; cohort study, INTRODUCTION Childhood overweight and obesity increased at an alarming rate in Europe and elsewhere up to about 2000, but now it appears to have levelled off. (1) However, childhood overweight [...]
Published: 2013
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24. Liver enzymes and clustering cardiometabolic risk factors in European adolescents: the HELENA study

Author: Labayen, I., Ruiz, J. R., Ortega, F. B., Davis, C. L., Rodríguez, G., González-Gross, M., Breidenassel, C., Dallongeville, J., Marcos, A., Widhalm, K., Kafatos, A., Molnar, D., DeHenauw, S., Gottrand, F., and Moreno, L. A.
Published: 2015
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25. Erratum: Percentile reference values for anthropometric body composition indices in European children from the IDEFICS study

Author: Nagy, P, Intemann, T, Buck, C, Pigeot, I, Ahrens, W, and Molnar, D
Published: 2016
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26. The temporal relationship between parental concern of overeating and childhood obesity considering genetic susceptibility : longitudinal results from the IDEFICS/I.Family study

Author: Masip, G, Foraita, R, Silventoinen, K, Adan, RAH, Ahrens, W, De Henauw, Stefaan, Hebestreit, A, Keski-Rahkonen, A, Lissner, L, Mehlig, K, Molnar, D, Moreno, LA, Pigeot, I, Russo, P, Veidebaum, T, Bogl, LH, and Kaprio, J
Subjects: OVERWEIGHT, EATING BEHAVIOR, Mediation, TWIN, PATHWAYS, BODY-MASS INDEX, POOLED ANALYSIS, ENERGY-INTAKE, Overeating, Polygenic risk score, Temporal associations, Medicine and Health Sciences, Genetics, Obesity, WEIGHT, Body mass index, EXPENDITURE, ASSOCIATIONS
Abstract: Background: Many genes and molecular pathways are associated with obesity, but the mechanisms from genes to obesity are less well known. Eating behaviors represent a plausible pathway, but because the relationships of eating behaviors and obesity may be bi-directional, it remains challenging to resolve the underlying pathways. A longitudinal approach is needed to assess the contribution of genetic risk during the development of obesity in childhood. In this study we aim to examine the relationships between the polygenic risk score for body mass index (PRS-BMI), parental concern of overeating and obesity indices during childhood. Methods: The IDEFICS/I.Family study is a school-based multicenter pan-European cohort of children observed for 6 years (mean +/- SD follow-up 5.8 +/- 0.4). Children examined in 2007/2008 (wave 1) (mean +/- SD age: 4.4 +/- 1.1, range: 2-9 years), in 2009/2010 (wave 2) and in 2013/2014 (wave 3) were included. A total of 5112 children (49% girls) participated at waves 1, 2 and 3. For 2656 children with genome-wide data we constructed a PRS based on 2.1 million single nucleotide polymorphisms. Z-score BMI and z-score waist circumference (WC) were assessed and eating behaviors and relevant confounders were reported by parents via questionnaires. Parental concern of overeating was derived from principal component analyses from an eating behavior questionnaire. Results: In cross-lagged models, the prospective associations between z-score obesity indices and parental concern of overeating were bi-directional. In mediation models, the association between the PRS-BMI and parental concern of overeating at wave 3 was mediated by baseline z-BMI (beta = 0.16, 95% CI: 0.10, 0.21) and baseline z-WC (beta = 0.17, 95% CI: 0.11, 0.23). To a lesser extent, baseline parental concern of overeating also mediated the association between the PRS-BMI and z-BMI at wave 3 (beta = 0.10, 95% CI: 0.07, 0.13) and z-WC at wave 3 (beta = 0.09, 95% CI: 0.07, 0.12). Conclusions: The findings suggest that the prospective associations between obesity indices and parental concern of overeating are likely bi-directional, but obesity indices have a stronger association with future parental concern of overeating than vice versa. The findings suggest parental concern of overeating as a possible mediator in the genetic susceptibility to obesity and further highlight that other pathways are also involved. A better understanding of the genetic pathways that lead to childhood obesity can help to prevent weight gain.
Published: 2021

27. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Author: Zhou, B, Carrillo-Larco, Rm, Danaei, G, Riley, Lm, Paciorek, Cj, Stevens, Ga, Gregg, Ew, Bennett, Je, Solomon, B, Singleton, Rk, Sophiea, Mk, Iurilli, Mlc, Lhoste, Vpf, Cowan, Mj, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, Ap, Khang, Yh, Kim, Hc, Laxmaiah, A, Lin, Hh, Maira, Pm, Miranda, Jj, Neuhauser, H, Sundstrom, J, Varghese, C, Widyahening, Is, Zdrojewski, T, Ezzati, M, Abarca-Gomez, L, Abdeen, Za, Rahim, Hfa, Abu-Rmeileh, Nm, Acosta-Cazares, B, Adams, Rj, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, Ia, Aghazadeh-Attari, J, Aguilar-Salinas, Ca, Agyemang, C, Ahmad, Na, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, Sh, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, Albuhairan, F, Aldhukair, S, Ali, Mm, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, Dn, Amougou, N, Amouyel, P, Andersen, Lb, Anderssen, Sa, Anjana, Rm, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araujo, J, Ariansen, I, Aris, T, Arku, Re, Arlappa, N, Aryal, Kk, Aspelund, T, Assah, Fk, Assuncao, Mcf, Auvinen, J, Avdicova, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, Bv, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinovic, M, Bandosz, P, Banegas, Jr, Baran, J, Barbagallo, Cm, Barcelo, A, Barkat, A, Barreto, M, Barros, Ajd, Barros, Mvg, Bartosiewicz, A, Basit, A, Bastos, Jld, Bata, I, Batieha, Am, Batyrbek, A, Baur, La, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, Ls, Berkinbayev, S, Bernabe-Ortiz, A, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, Sk, Bia, D, Biasch, K, Lele, Ecb, Bikbov, Mm, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, Mb, Bjorkelund, C, Bloch, Kv, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, Jg, Boissonnet, Cp, Bojesen, Se, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, Cb, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, Lm, Briceno, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, 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Deepa, M, Deev, Ad, Degennaro, V, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, Af, Dias-da-Costa, Js, Diaz, A, Dickerson, Tt, Dika, Z, Djalalinia, S, Htp, Do, Dobson, Aj, Donfrancesco, C, Donoso, Sp, Doring, A, Dorobantu, M, Dorr, M, Doua, K, Dragano, N, Drygas, W, Duante, Ca, Duboz, P, Duda, Rb, Dulskiene, V, Dushpanova, A, Dzakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, Rt, Erbel, R, Erem, C, Eriksen, L, Eriksson, Jg, Escobedo-de la Pena, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, Aa, Fall, Ch, Faramarzi, E, Farjam, M, Fattahi, Mr, Fawwad, A, Felix-Redondo, Fj, Felix, Sb, Ferguson, Ts, Fernandes, Ra, Fernandez-Berges, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, Mm, Ferreccio, C, Ferreira, Hs, Ferrer, E, Ferrieres, J, Figueiro, Th, Fink, G, Fischer, K, Foo, Lh, Forsner, M, Fouad, Hm, Francis, Dk, Grego, Franco, Frikke-Schmidt, R, Frontera, G, Fuchs, Fd, Fuchs, Sc, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, Jl, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, Sp, Gaspoz, Jm, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, Jm, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, Of, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, Tk, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, Ra, Gomez, Lf, Gomula, A, da Silva, Bgc, Goncalves, H, Goncalves, M, Gonzalez-Chica, Da, Gonzalez-Gross, M, Gonzalez-Rivas, Jp, Gonzalez-Villalpando, C, Gonzalez-Villalpando, Me, Gonzalez, Ar, Gorbea, Mb, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, Mg, Gregor, Rd, Grodzicki, T, Grosso, G, Gruden, G, Df, Gu, Guan, Op, Gudmundsson, Ef, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, Al, Gulliford, Mc, Gunnlaugsdottir, J, 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Kazakbaeva, Ulrich Keil, Lital Keinan Boker, Sirkka Keinänen-Kiukaanniemi, Roya Kelishadi, Han Cg Kemper, Maryam Keramati, Alina Kerimkulova, Mathilde Kersting, Timothy Key, Yousef Saleh Khader, Davood Khalili, Kay-Tee Khaw, Bahareh Kheiri, Motahareh Kheradmand, Alireza Khosravi, Ursula Kiechl-Kohlendorfer, Stefan Kiechl, Japhet Killewo, Dong Wook Kim, Jeongseon Kim, Heidi Klakk, Magdalena Klimek, Jurate Klumbiene, Michael Knoflach, Elin Kolle, Patrick Kolsteren, Jukka P Kontto, Raija Korpelainen, Paul Korrovits, Jelena Kos, Seppo Koskinen, Katsuyasu Kouda, Sudhir Kowlessur, Slawomir Koziel, Jana Kratenova, Vilma Kriaucioniene, Peter Lund Kristensen, Steiner Krokstad, Daan Kromhout, Herculina S Kruger, Ruzena Kubinova, Renata Kuciene, Urho M Kujala, Zbigniew Kulaga, R Krishna Kumar, Pawel Kurjata, Yadlapalli S Kusuma, Vladimir Kutsenko, Kari Kuulasmaa, Catherine Kyobutungi, Tiina Laatikainen, Carl Lachat, Youcef Laid, Tai Hing Lam, Orlando Landrove, Vera Lanska, Georg Lappas, Bagher Larijani, Tint Swe Latt, Gwenaëlle Le Coroller, Khanh Le Nguyen Bao, Tuyen D Le, Jeannette Lee, Jeonghee Lee, Nils Lehmann, Terho Lehtimäki, Daniel Lemogoum, Naomi S Levitt, Yanping Li, Christa L Lilly, Wei-Yen Lim, M Fernanda Lima-Costa, Xu Lin, Yi-Ting Lin, Lars Lind, Vijaya Lingam, Allan Linneberg, Lauren Lissner, Mieczyslaw Litwin, Wei-Cheng Lo, Helle-Mai Loit, Esther Lopez-Garcia, Tania Lopez, Paulo A Lotufo, José Eugenio Lozano, Iva Lukačević Lovrenčić, Janice L Lukrafka, Dalia Luksiene, Annamari Lundqvist, Robert Lundqvist, Nuno Lunet, Michala Lustigová, Edyta Luszczki, Guansheng Ma, Jun Ma, George Ll Machado-Coelho, Aristides M Machado-Rodrigues, Enguerran Macia, Luisa M Macieira, Ahmed A Madar, Stefania Maggi, Dianna J Magliano, Emmanuella Magriplis, Gowri Mahasampath, Bernard Maire, Marjeta Majer, Marcia Makdisse, Fatemeh Malekzadeh, Reza Malekzadeh, Rahul Malhotra, Kodavanti Mallikharjuna Rao, Sofia K Malyutina, Lynell V Maniego, Yannis Manios, Jim I Mann, Fariborz 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M., Hantunen, Sari, Hao, Jie, Hardman, Carla Meneses, Kumar, Rachakulla Hari, Hashemi-Shahri, Seyed Mohammad, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J., He, Yuna, Heier, Margit, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Heshmat, Ramin, Hill, Allan G., Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Holdsworth, Michelle, Homayounfar, Reza, Dinc, Gonul Horasan, Horimoto, Andrea R. V. R., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, Jose Maria, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huisman, Martijn, Husseini, Abdullatif S., Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Wong, Norazizah Ibrahim, Ikram, M. Arfan, Iotova, Violeta, Irazola, Vilma E., Ishida, Takafumi, Isiguzo, Godsent C., Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jaddou, Hashem Y., Jafar, Tazeen, James, Kenneth, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O., Joeckel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J., Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jozwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kajantie, Eero O., Kalmatayeva, Zhanna, Kalpourtzi, Natasa, Kalter-Leibovici, Ofra, Kampmann, Freja B., Kannan, Srinivasan, Karaglani, Eva, Karhus, Line L., Karki, Khem B., Katibeh, Marzieh, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M., Keil, Ulrich, Boker, Lital Keinan, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C. G., Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Jeongseon, Klakk, Heidi, Klimek, Magdalena, Klumbiene, Jurate, Knoflach, Michael, Kolle, Elin, Kolsteren, Patrick, Kontto, Jukka P., Korpelainen, Raija, Korrovits, Paul, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kriaucioniene, Vilma, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S., Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M., Kulaga, Zbigniew, Kumar, R. Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S., Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Le Coroller, Gwenaelle, Khanh Le Nguyen Bao, Le, Tuyen D., Lee, Jeannette, Lee, Jeonghee, Lehmann, Nils, Lehtimaki, Terho, Lemogoum, Daniel, Levitt, Naomi S., Li, Yanping, Lilly, Christa L., Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A., Lozano, Jose Eugenio, Lovrencic, Iva Lukacevic, Lukrafka, Janice L., Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lustigova, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L. L., Machado-Rodrigues, Aristides M., Macia, Enguerran, Macieira, Luisa M., Madar, Ahmed A., Maggi, Stefania, Magliano, Dianna J., Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna, Kodavanti, Malyutina, Sofia K., Maniego, Lynell V., Manios, Yannis, Mann, Jim I., Mansour-Ghanaei, Fariborz, Manzato, Enzo, Marcil, Anie, Margozzini, Paula, Marild, Staffan B., Glavic, Mihalea Marinovic, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Mascarenhas, Luis P., Matasin, Marija, Mathiesen, Ellisiv B., Mathur, Prashant, Matijasevich, Alicia, Matlosz, Piotr, Matsha, Tandi E., Mavrogianni, Christina, Mbanya, Jean Claude N., Mc Donald Posso, Anselmo J., McFarlane, Shelly R., McGarvey, Stephen T., McLachlan, Stela, McLean, Rachael M., McLean, Scott B., McNulty, Breige A., Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisinger, Christa, Mendoza Montano, Carlos, Menezes, Ana Maria B., Menon, Geetha R., Mereke, Alibek, Meshram, Indrapal I., Metspalu, Andres, Meyer, Haakon E., Mi, Jie, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C., Minderico, Claudia S., Mini, G. K., Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Misigoj-Durakovic, Marjeta, Modesti, Pietro A., Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K., Mohamed, Shukri F., Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Mollehave, Line T., Molnar, Denes, Momenan, Amirabbas, Mondo, Charles K., Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Andre Moura-dos-Santos, Marcos, Mridha, Malay K., Msyamboza, Kelias P., Mu, Thet Thet, Muhihi, Alfa J., Muiesan, Maria L., Muller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M., Najafi, Farid, Nakamura, Harunobu, Namesna, Jana, Nang, Ei Ei K., Nangia, Vinay B., Narake, Sameer, Ndiaye, Ndeye Coumba, Neal, William A., Nejatizadeh, Azim, Nenko, Ilona, Neovius, Martin, Neuhauser, Hannelore K., Nguyen, Chung T., Nguyen, Nguyen D., Nguyen, Quang V., Quang Ngoc Nguyen, Nieto-Martinez, Ramfis E., Niiranen, Teemu J., Nikitin, Yury P., Ninomiya, Toshiharu, Nishtar, Sania, Njelekela, Marina A., Noale, Marianna, Noboa, Oscar A., Noorbala, Ahmad Ali, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Borge G., Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nunes, Baltazar, O'Neill, Terence W., O'Reilly, Dermot, Ochimana, Caleb, Oda, Eiji, Odili, Augustine N., Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olie, Valerie, Olinto, Maria Teresa A., Oliveira, Isabel O., Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M., Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J., Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, de Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Panza, Francesco, Paoli, Mariela, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R., Parsaeian, Mahboubeh, Pasquet, Patrick, Patel, Nikhil D., Pavlyshyn, Halyna, Pecin, Ivan, Pednekar, Mangesh S., Pedro, Joao M., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Peres, Karen G. D. A., Peres, Marco A., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Son Thai Pham, Pichardo, Rafael N., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubio, Pedro, Polasek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Providencia, Rui, Puhakka, Soile E., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Queiroz, Daniel, Tran Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M., Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A., Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, de Wit, Tobias F. Rinke, Ritti-Dias, Raphael M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, Maria, Rodriguez-Villamizar, Laura A., Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L., Rosengren, Annika, Roy, Joel G. R., Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Sandra Ruiz-Betancourt, Blanca, Ruiz-Castell, Maria, Rusakova, Iuliia A., Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmeron, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sans, Susana, Santos, Diana A., Santos, Ina S., Santos, Lelita C., Santos, Maria Paula, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O., Schnohr, Peter, Schoettker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E., Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Servais, Jennifer, Shalnova, Svetlana A., Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., de Moura Silva, Caroline Ramos, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugene, Soderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. A., Sorgjerd, Elin P., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A., Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stoeckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G., Syddall, Holly E., Sylva, Rene Charles, Szklo, Moyses, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B., Taylor, Anne, Taylor, Julie, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. R., Theobald, Holger, Theodoridis, Xenophon, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H., Timmermans, Erik J., Tjandrarini, Dwi H., Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topor-Madry, Roman, Jose Tormo, Maria, Tornaritis, Michael J., Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T. H., Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M., Tulloch-Reid, Marshall K., Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu M. T., Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M., van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T., Van Herck, Koen, Hoang Van Minh, Van Schoor, Natasja M., van Valkengoed, Irene G. M., van Zutphen, Elisabeth M., Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Verstraeten, Roosmarijn, Victora, Cesar G., Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N., Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, Wanderley Junior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Emmanuel A., Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A., Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C., Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K., Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O., Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Elisa Zapata, Maria, Zaw, Ko Ko, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuniga Cisneros, Julio., School of Medicine, ACS - Diabetes & metabolism, APH - Global Health, Pulmonology, Medical Informatics, Adult Psychiatry, Global Health, APH - Quality of Care, APH - Methodology, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Anesthesiology, Graduate School, and ACS - Heart failure & arrhythmias
Subjects: Male, Latin Americans, Nutrition and Disease, Epidemiology, [SDV]Life Sciences [q-bio], Medizin, BLOOD-PRESSURE, 030204 cardiovascular system & hematology, Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants, Hypertension, Prevalence, Control, Tretament, GUIDELINES, Global Health, Worldwide trends, 0302 clinical medicine, Hypertension prevalence, Voeding en Ziekte, Medicine and Health Sciences, kohonnut verenpaine, Medicine, 030212 general & internal medicine, Prevention and Control, 11 Medical and Health Sciences, ComputingMilieux_MISCELLANEOUS, education.field_of_study, food and beverages, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Noncommunicable diseases, Period prevalence, Middle Aged, kansainvälinen vertailu, 3142 Public health care science, environmental and occupational health, 3. Good health, MIDDLE-INCOME, Pooled analysis, SYSTEMATIC ANALYSIS, INCOME COUNTRIES, ADULTS, PREVENTION, MANAGEMENT, ADHERENCE, DIAGNOSIS, Western europe, [SDE]Environmental Sciences, Hypertension/diagnosis, NCD Risk Factor Collaboration (NCD-RisC), Female, B990 Subjects Allied to Medicine not elsewhere classified, Life Sciences & Biomedicine, Adult, health-care, esiintyvyys, Central asia, Population, Nursing, 3121 Internal medicine, 03 medical and health sciences, Medicine, General & Internal, Drug Therapy, General & Internal Medicine, Life Science, Humans, ddc:610, education, Antihypertensive Agents, VLAG, Aged, Science & Technology, Antihypertensive Agents/therapeutic use, business.industry, Omvårdnad, fungi, General and internal medicine, Estados de Saúde e de Doença, Taking medication, Treatment, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Blood pressure, Faculdade de Ciências Sociais, 3121 General medicine, internal medicine and other clinical medicine, lääkehoito, 1182 Biochemistry, cell and molecular biology, business, Demography
Abstract: Background: hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods: we used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings: the number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings., British Heart Foundation Centre of Research Excellence Grant; World Health Organization (WHO); Abdul Latif Jameel Institute for Disease and Emergency Analytics Fellowship
Published: 2021

28. The temporal relationship between parental concern of overeating and childhood obesity considering genetic susceptibility: longitudinal results from the IDEFICS/I.Family study

Author: Masip G, Foraita R, Silventoinen K, Adan RAH, Ahrens W, De Henauw S, Hebestreit A, Keski-Rahkonen A, Lissner L, Mehlig K, Molnar D, Moreno LA, Pigeot I, Russo P, Veidebaum T, Bogl LH, Kaprio J and IDEFICS/I.Family Consortia
Subjects: obesity, Overeating, Polygenic risk score, Temporal associations, body mass index
Abstract: Background: Many genes and molecular pathways are associated with obesity, but the mechanisms from genes to obesity are less well known. Eating behaviors represent a plausible pathway, but because the relationships of eating behaviors and obesity may be bi-directional, it remains challenging to resolve the underlying pathways. A longitudinal approach is needed to assess the contribution of genetic risk during the development of obesity in childhood. In this study we aim to examine the relationships between the polygenic risk score for body mass index (PRS-BMI), parental concern of overeating and obesity indices during childhood. Methods: The IDEFICS/I.Family study is a school-based multicenter pan-European cohort of children observed for 6 years (mean ± SD follow-up 5.8 ± 0.4). Children examined in 2007/2008 (wave 1) (mean ± SD age: 4.4 ± 1.1, range: 2-9 years), in 2009/2010 (wave 2) and in 2013/2014 (wave 3) were included. A total of 5112 children (49% girls) participated at waves 1, 2 and 3. For 2656 children with genome-wide data we constructed a PRS based on 2.1 million single nucleotide polymorphisms. Z-score BMI and z-score waist circumference (WC) were assessed and eating behaviors and relevant confounders were reported by parents via questionnaires. Parental concern of overeating was derived from principal component analyses from an eating behavior questionnaire. Results: In cross-lagged models, the prospective associations between z-score obesity indices and parental concern of overeating were bi-directional. In mediation models, the association between the PRS-BMI and parental concern of overeating at wave 3 was mediated by baseline z-BMI (? = 0.16, 95% CI: 0.10, 0.21) and baseline z-WC (? = 0.17, 95% CI: 0.11, 0.23). To a lesser extent, baseline parental concern of overeating also mediated the association between the PRS-BMI and z-BMI at wave 3 (? = 0.10, 95% CI: 0.07, 0.13) and z-WC at wave 3 (? = 0.09, 95% CI: 0.07, 0.12). Conclusions: The findings suggest that the prospective associations between obesity indices and parental concern of overeating are likely bi-directional, but obesity indices have a stronger association with future parental concern of overeating than vice versa. The findings suggest parental concern of overeating as a possible mediator in the genetic susceptibility to obesity and further highlight that other pathways are also involved. A better understanding of the genetic pathways that lead to childhood obesity can help to prevent weight gain.
Published: 2021
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29. Clustering of multiple lifestyle behaviours and its association to cardiovascular risk factors in children: the IDEFICS study

Author: Bel-Serrat, S., Mouratidou, T., Santaliestra-Pasias, A.M., Iacoviell, L., Kourides, Y.A., Marild, S., Molnar, D., Reisch, L., Siani, A., Stomfai, S., Vanaelst, B., Veidebaum, T., Pigeot, I., Ahrens, W., Krogh, V., and Moreno, L.A.
Subjects: Life style -- Research, Children -- Health aspects, Cardiovascular diseases -- Physiological aspects -- Risk factors, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: Individual lifestyle behaviours have independently been associated with cardiovascular diseases (CVD) risk factors in children. This study aimed to identify clustered lifestyle behaviours (dietary, physical activity (PA) and sedentary indicators) and to examine their association with CVD risk factors in children aged 2-9 years. SUBJECTS/METHODS: Participants included 4619 children (51.6% boys) from eight European countries participating in the IDEFICS cross-sectional baseline survey (2007-2008). Insulin resistance, total cholesterol/high-density lipoprotein cholesterol ratio, triglycerides, sum of two skinfolds and systolic blood pressure (SBP) z-scores were summed to compute a CVD risk score. Cluster analyses stratified by sex and age groups (2 to < 6 years; 6-9 years) were performed using parental-reported data on fruit, vegetables and sugar-sweetened beverages (SSB) consumption, PA performance and television video/DVD viewing. RESULTS: Five clusters were identified. Associations between CVD risk factors and score, and clusters were obtained by multiple linear regression using cluster 5 ('low beverages consumption and low sedentary') as the reference cluster. SBP was positively associated with clusters 1 ('physically active'; β = 1.34;95% confidence interval (CI): 0.02, 2.67), 2 ('sedentary'; β = 1.84; 95% CI: 0.57, 3.11), 3 ('physically active and sedentary'; β = 1.45;95% CI: 0.15, 2.75) and 4 ('healthy diet'; β = 1.83;95% CI: 0.50, 3.17) in older boys. A positive association was observed between CVD risk score and clusters 2 (b = 0.60;95% CI: 0.20, 1.01), 3 (b = 0.55;95% CI: 0.14, 0.97) and 4 (β = 0.60, 95% CI: 0.18, 1.02) in older boys. CONCLUSIONS: Low television/video/DVD viewing levels and low SSB consumption may result in a healthier CVD profile rather than having a diet rich in fruits and vegetables or being physically active in (pre-)school children. European Journal of Clinical Nutrition (2013) 67, 848-854; doi:10.1038/ejcn.2013.84; published online 1 May 2013 Keywords: cardiovascular diseases; lifestyle; diet; exercise; sedentary lifestyle; child, INTRODUCTION Increased risk of CVD is characterized by a cluster of metabolic abnormalities, such as abdominal obesity, atherogenic dyslipemia, hypertension, insulin resistance and glucose intolerance. (1) CVD remains the leading [...]
Published: 2013
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30. Muscular fitness, fatness and inflammatory biomarkers in adolescents

Author: Artero, E. G., España-Romero, V., Jiménez-Pavón, D., Martinez-Gómez, D., Warnberg, J., Gómez-Martínez, S., González-Gross, M., Vanhelst, J., Kafatos, A., Molnar, D., De Henauw, S., Moreno, L. A., Marcos, A., and Castillo, M. J.
Published: 2014
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31. Intake and dietary sources of haem and non-haem iron among European adolescents and their association with iron status and different lifestyle and socio-economic factors

Author: Vandevijvere, S, Michels, N, Verstraete, S, Ferrari, M, Leclercq, C, Cuenca-García, M, Grammatikaki, E, Manios, Y, Gottrand, F, Santamaría, J V, Kersting, M, Gonzalez-Gross, M, Moreno, L, Mouratidou, T, Stevens, K, Meirhaeghe, A, Dallongeville, J, Sjöström, M, Hallstrom, L, Kafatos, A, Widhalm, K, Molnar, D, De Henauw, S, and Huybrechts, I
Published: 2013
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32. Lipid, lipoprotein and apolipoprotein profiles in European adolescents and its associations with gender, biological maturity and body fat—The HELENA Study

Author: Spinneker, A, Egert, S, González-Gross, M, Breidenassel, C, Albers, U, Stoffel-Wagner, B, Huybrechts, I, Manios, Y, Venneria, E, Molnar, D, Widhalm, K, Moreno, L, and Stehle, P
Published: 2012
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33. Predictive associations between lifestyle behaviours and dairy consumption: The IDEFICS study

Author: Santaliestra-Pasías, A.M., González-Gil, E.M., Pala, V., Intemann, T., Hebestreit, A., Russo, P., Van Aart, C., Rise, P., Veidebaum, T., Molnar, D., Tornaritis, M., Eiben, G., Moreno, L.A., and the IDEFICS, Consortium
Abstract: Background and aim: Physical activity (PA) and sedentary behaviours (SB) are related to obesity and cardiometabolic risk; however, the literature is controversial regarding the effect of dairy consumption on the development of cardiovascular disease (CVD) risk factors. The aim of this study was to assess longitudinally the relationship between specific lifestyle behaviours (PA and SB) and dairy consumption in a sample of European children and adolescents. Methods and results: Children from the IDEFICS study were included in the analyses. Two measurements, with 2 years'' interval, were conducted. A total of 1688 (50.8% boys) children provided information regarding diet, measured by a 24-h dietary recall, PA measured by accelerometers and parent-reported sedentary screen time (SST) at both time points. Different combinations of these behaviours, at each survey and over time, were derived applying specific recommendations. Multilevel ordinal logistic regression and analysis of covariance were used to assess their association with dairy consumption, adjusted for potential confounders. Differences by gender were found regarding dairy product consumption and also adherence to SB and PA recommendations at T0 and T1. Children meeting both lifestyle recommendations, at the two measurement points, had higher probability to consume more milk and yogurt and less cheese than the rest of combinations. Conclusions: These results suggest that European children with a healthy lifestyle, especially regarding PA and SB over time, consumed more milk and yogurt. This study suggests that the protective effect of specific dairy products found in literature could be partially due to the association of their consumption with specific healthy lifestyles.
Published: 2020

34. Effect of fitness and physical activity on bone mass in adolescents: the HELENA Study

Author: Gracia-Marco, L., Vicente-Rodríguez, G., Casajús, J. A., Molnar, D., Castillo, M. J., and Moreno, L. A.
Published: 2011
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35. Evaluation of iron status in European adolescents through biochemical iron indicators: the HELENA Study

Author: Ferrari, M., Mistura, L., Patterson, E., Sjostrom, M., Diaz, L.E., Stehle, P., Gonzalez-Gross, M., Kersting, M., Widhalm, K., Molnar, D., Gottrand, F., De Henauw, S., Manios, Y., Kafatos, A., Moreno, L.A., and Leclercq, C.
Subjects: Health surveys -- Analysis, Teenagers -- Demographic aspects -- Health aspects, Youth -- Demographic aspects -- Health aspects, Transferrin -- Physiological aspects, Iron deficiency anemia -- Development and progression -- Risk factors -- Prevention -- Care and treatment, Food/cooking/nutrition, Health
Abstract: Background/Objectives: To assess the iron status among European adolescents through selected biochemical parameters in a cross-sectional study performed in 10 European cities. Subjects/Methods: Iron status was defined utilising biochemical indicators. Iron depletion was defined as low serum ferritin (SF < 15 [micro]g/l). Iron deficiency (ID) was defined as high-soluble transferrin receptor (sTfR> 8.5 mg/l) plus iron depletion. Iron deficiency anaemia (IDA) was defined as ID with haemoglobin (Hb) below the WHO cutoff for age and sex: 12.0 g/dl for girls and for boys aged 12.5-14.99 years and 13.0g/dl for boys aged [greater than or equal to] 15 years. Enzyme linked immunosorbent assay was used as analytical method for SF, sTfR and C-reactive protein (CRP). Subjects with indication of inflammation (CRP > 5 mg/l) were excluded from the analyses. A total of 940 adolescents aged 12.5-17.49 years (438 boys and 502 girls) were involved. Results: The percentage of iron depletion was 17.6%, significantly higher in girls (21.0%) compared with boys (13.8%). The overall percentage of ID and IDA was 4.7 and 1.3%, respectively, with no significant differences between boys and girls. A correlation was observed between log (SF) and Hb (r = 0.36, P Conclusions: To ensure adequate iron stores, specific attention should be given to girls at European level to ensure that their dietary intake of iron is adequate. European Journal of Clinical Nutrition (2011) 65, 340-349; doi:10.1038/ejcn.2010.279; published online 19 January 2011 Keywords: anaemia; iron deficiency; adolescent; Europe, Introduction Iron Deficiency (ID) continues to be one of the most prevalent nutritional deficiencies in the world, particularly in developing countries (World Health Organization (WHO), 2003). WHO estimated that ID [...]
Published: 2011

36. Mechanistic interpretation of Alpine glacierized environments: Part 2. Hydrologic interpretation and model parameters identification on case study

Author: Perona, P., Pasquale, N., and Molnar, D.
Published: 2008
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37. Blood lipids among young children in Europe: results from the European IDEFICS study

Author: De Henauw, S, Michels, N, Vyncke, K, Hebestreit, A, Russo, P, Intemann, T, Peplies, J, Fraterman, A, Eiben, G, de Lorgeril, M, Tornaritis, M, Molnar, D, Veidebaum, T, Ahrens, W, and Moreno, L A
Published: 2014
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38. C-reactive protein reference percentiles among pre-adolescent children in Europe based on the IDEFICS study population

Author: Schlenz, H, Intemann, T, Wolters, M, González-Gil, E M, Nappo, A, Fraterman, A, Veidebaum, T, Molnar, D, Tornaritis, M, Sioen, I, Mårild, S, Iacoviello, L, and Ahrens, W
Published: 2014
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39. Polymorphisms of matrix metalloproteinase gene and adiposity indices in European children: results of the IDEFICS study

Author: Cugino, D, Gianfagna, F, Ahrens, W, De Henauw, S, Koni, A C, Marild, S, Molnar, D, Moreno, L A, Pitsiladis, Y, Russo, P, Siani, A, Tornaritis, M, Veidebaum, T, and lacoviello, L
Published: 2013
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40. Nutritional status and lifestyles of adolescents from a public health perspective. The HELENA Project—Healthy Lifestyle in Europe by Nutrition in Adolescence

Author: De Henauw, S., Gottrand, F., De Bourdeaudhuij, I., Gonzalez-Gross, M., Leclercq, C., Kafatos, A., Molnar, D., Marcos, A., Castillo, M., Dallongeville, J., Gilbert, C. C., Bergman, P., Widhalm, K., Manios, Y., Breidenassel, C., Kersting, M., and Moreno, L. A.
Published: 2007
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41. Heavy quarks at RHIC from parton transport theory

Author: Molnar, D.
Published: 2007
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42. PCR63 A Time Trade-Off Study to Estimate Respiratory Syncytial Virus (RSV) Related Utility Values for Older Adults (OA) in the United States (US)

Author: Rendas-Baum, R., Molnar, D., Curran, D., and Bjorner, J.B.
Published: 2023
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43. EPH45 Assessing the Public Health Impact of the Adjuvanted Respiratory Syncytial Virus Prefusion F Protein Vaccine Among Older Adults in the United States (US)

Author: Molnar, D., La, E.M., Verelst, F., Curran, D., Poston, S., Van Bellinghen, L.A., and Graham, J.
Published: 2023
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44. EE356 Health Care Resource Use and Medical Costs Attributable to Respiratory Syncytial Virus (RSV) Among Adults ≥60 Years of Age in the United States: A Retrospective Claims Database Analysis

Author: Aris, E., Brabant, Y., La, E.M., Candrilli, S., and Molnar, D.
Published: 2023
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45. EE331 Leveraging Time-Use Data to Estimate Market and Non-Market Productivity Losses Due to Respiratory Syncytial Virus (RSV) Disease Among Adults Aged ≥60 Years in the United States (US)

Author: Verelst, F., La, E.M., Graham, J., and Molnar, D.
Published: 2023
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46. STUDY TIME IS ASSOCIATED WITH DIETARY PATTERNS IN EUROPEAN ADOLESCENTS PARTICIPATING IN THE HELENA STUDY: O151

Author: Santaliestra-Pasías, A M., Mouratidou, T., Huybrechts, I., Beghin, L., Cuenca-García, M., Castillo, M J., Galfo, M., Hallstrom, L., Kafatos, A., Manios, Y., Marcos, A., Molnar, D., Plada, M., Pedrero-Chamizo, R., Widhalm, K., De Bourdeaudhuij, I., and Moreno, L A.
Published: 2013

47. Polymorphisms of matrix metalloproteinase gene and adiposity indices in European children: results of the IDEFICS study: PA 3.06–6

Author: Iacoviello, L, Cugino, D, Gianfagna, F, Ahrens, W, De Henauw, S, Marild, S, Molnar, D, Moreno, L, Pitsiladis, Y, Siani, A, Tornaritis, M, and Veidebaum, T
Published: 2013

48. Gestational weight gain and adiposity, fat distribution, metabolic profile, and blood pressure in offspring: the IDEFICS project

Author: Russo, Dello M, Ahrens, W, De Vriendt, T, Marild, S, Molnar, D, Moreno, L A, Reeske, A, Veidebaum, T, Kourides, Y A, Barba, G, and Siani, A
Published: 2013
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49. Impact of REV-ERB alpha gene polymorphisms on obesity phenotypes in adult and adolescent samples

Author: Goumidi, L, Grechez, A, Dumont, J, Cottel, D, Kafatos, A, Moreno, L A, Molnar, D, Moschonis, G, Gottrand, F, Huybrechts, I, Dallongeville, J, Amouyel, P, Delaunay, F, and Meirhaeghe, A
Published: 2013
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50. Uncoupling protein-2 gene polymorphisms are associated with obesity in Hungarian children

Author: Csernus, K, Pauler, G, Erhardt, E, Lanyi, E, and Molnar, D
Published: 2013
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