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3. Experience and acceptability of diets of varying protein content and glycemic index in an obese cohort: results from the diogenes trial

Author

McConnon, A., Horgan, G.W., Lawton, C., Stubbs, J., Shepherd, R., Astrup, A., Handjieva-Darlenska, T., Kunesova, M., Larsen, T.M., Lindroos, A.K., Martinez, J.A., Papadaki, A., Pfeiffer, A.F.H., van Baak, M.A., and Raats, M.M.

Subjects
Obesity -- Physiological aspects, Protein-protein interactions -- Research, Glycemic index -- Research, Diet -- Health aspects, Food/cooking/nutrition, Health
Abstract

BACKGROUND/OBJECTIVES: To investigate acceptability and tolerability of diets of different protein and glycemic index (GI) content aimed at weight maintenance following a phase of rapid weight loss, as part of a large pan-European dietary intervention trial. SUBJECTS/METHODS: The Diogenes study (www.diogenes-eu.org) consisted of an initial 8-week rapid weight-loss phase (800- 1000 kcal/day), followed by a 6-month weight maintenance intervention with five different diets varying in protein and GI content. Measurement of a range of outcomes relating to experience of the Diogenes diets in terms of acceptability, experience and mood were recorded via end of day questionnaires throughout the study. RESULTS: Weight change during the initial weight loss phase weakly, but positively correlated with acceptability of the programme (r range = -0.08 to 0.2, P ≤ 0.05, n = 685 on four of five dimensions). Success at weight maintenance positively correlated with acceptance of the programme (r range = -0.21 to -0.34, P < 0.001, n = 540 for all five dimensions). The diets with higher protein content were more acceptable than the low protein (LP) diets, however, no differences between the high vs low GI diets were found concerning acceptability and tolerability. CONCLUSIONS: Results suggest that moderately high protein diets, compared with LP diets, are more acceptable diets for weight control in overweight individuals. European Journal of Clinical Nutrition (2013) 67, 990-995; doi: 10.1038/ejcn.2013.99; published online 19 June 2013 Keywords: diet acceptability; diet tolerability; obesity; protein; glycemic index, diets, are more acceptable diets for weight control in overweight individuals. AA European Journal of Clinical Nutrition (2013) 67, 990-995; doi: 10.1038/ejcn.2013.99; published online 19 June 2013 AA Keywords: diet [...]

Published
2013
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19. WHO European childhood obesity surveillance initiative

Author

Breda, J, Wijnhoven, TM A, van Raaij, JM A, Spinelli, A, Rutter, H, Wauters, M, Petrova, S, Markidou, E, Kunesova, M, OʼDwyer, U, Pudule, I, Petrauskiene, A, SantʼAngelo, F V, Hovengen, R, Meisfjord, J R, Rito, A, Starc, G, Sjöberg, A, Yngve, A, Kovacs, V A, Chassapidou, M, Perez, N, and Kendrovski, V

Published
2011

26. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults

Author

Ezzati, M, Bentham, J, Di Cesare, M, Bilano, V, Bixby, H, Zhou, B, Stevens, GA, Riley, LM, Taddei, C, Hajifathalian, K, Lu, Y, Savin, S, Cowan, MJ, Paciore, CJ, Chiritaemandi, A, Hayes, AJ, Katz, J, Kelishadi, R, Kengne, AP, Khang, Y-H, Laxmaiah, A, Li, Y, Ma, J, Miranda, JJ, Mostafa, A, Neovius, M, Padez, C, Rampal, L, Zhu, A, Bennet, JE, Danaei, G, Bhutta, ZA, Abarca-Gomez, L, Abdeen, ZA, Hamid, ZA, Abu-Rmeileh, NM, Acosta-Cazares, B, Acuin, C, Adams, RJ, Aekplakorn, W, Afsana, K, Aguilar-Salinas, CA, Agyemng, C, Ahmadvand, A, Ahrens, W, Ajlouni, K, Akhtaeva, N, Al-Hazzaa, HM, Al-Othman, AR, Al-Raddadi, R, AlBuhairan, F, AlDhukai, S, Ali, MM, Ali, O, Alkerwi, A, Alvarez-Pedrerol, M, Aly, E, Amarapurkar, DN, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Andrade, DS, Angquist, LH, Anjana, RM, Aounallah-Skhiri, H, Araujo, J, Arianse, I, Aris, T, Arlappa, N, Arveiler, D, Aryal, KK, Aspelund, T, Assah, FK, Assuncao, MCF, Aung, MS, Avdicova, M, Azevedo, A, Azizi, F, Babu, BV, Bahijri, S, Baker, JL, Balakrishna, N, Bamoshmoosh, M, Banach, M, Bandosz, P, Banegas, JR, Barbagallo, CM, Barcelo, A, Barkat, A, Barros, AJD, Barros, MVG, Bata, I, Batieha, AM, Batista, RL, Batyrbek, A, Baur, LA, Beaglehole, R, Ben Romdhane, H, Benedics, J, Benet, M, Bernabe, A, Bernotiene, G, Bettiol, H, Bhagyalaxmi, A, Bharadwaj, S, Bhargava, SK, Bhatti, Z, Bi, H, Bi, Y, Biehl, A, Bikbov, M, Bista, B, Bjelica, DJ, Bjerregaard, P, Bjertnes, E, Bjness, MB, Bjorkelund, C, Blokstra, A, Bo, S, Bobak, M, Boddy, LM, Boehm, BO, Boeing, H, Boggia, JG, Boissonnet, CP, Bonaccio, M, Bongard, V, Bovet, P, Braeckevelt, L, Braeckman, L, Bragt, MCE, Brajkovich, I, Branca, F, Breckenkamp, J, Breda, J, Brenner, H, Brewster, LM, Brian, GR, Brinduse, L, Bruno, G, Bueno-de-Mesquita, HB, Bugge, A, Buoncristiano, M, Burazeri, G, Burns, C, Cabrera de Leon, A, Cacciottolo, J, Cai, H, Cama, T, Cameron, C, Camola, J, Can, G, Candido, APCC, Capanzana, M, Capuano, V, Cardoso, VC, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chen, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Chetrit, A, Chikova-Iscener, E, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Chirlaque, M-D, Cho, B, Cho, Y, Christensen, K, Christofaro, DG, Chudek, J, Cifkova, R, Cinteza, E, Claessens, F, Clays, E, Concin, H, Confortin, SC, Cooper, C, Cooper, R, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crujeiras, AB, Cucu, A, D'Arrigo, G, d'Orsi, E, Dallongeville, J, Damasceno, A, Damsgaard, CT, Danae, G, Dankner, R, Dantoft, TM, Dastgiri, S, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, PD, De Ridder, K, De Smedt, D, Deepa, M, Deev, AD, Dehghan, A, Delisle, H, Delpeuch, F, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Dias-da-Costa, JS, Diaz, A, Dika, Z, Djalalinia, S, Do, HTP, Dobson, AJ, Donati, MB, Donfrancesco, C, Donoso, SP, Doering, A, Dorobantu, M, Dorosty, AR, Doua, K, Drygas, W, Duan, JL, Duante, C, Duleva, V, Dulskiene, V, Dzerve, V, Dziankowska-Zaborszczyk, E, Egbagbe, EE, Eggertsen, R, Eiben, G, Ekelund, U, El Ati, J, Elliott, P, Engle-Stone, R, Erasmus, RT, Erem, C, Eriksen, L, Eriksson, JG, Escobedo, J, Evans, A, Faeh, D, Fall, CH, Sant'Angelo, VF, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernandes, RA, Fernandez-Berges, D, Ferrante, D, Ferrari, M, Ferreccio, C, Ferrieres, J, Finn, JD, Fischer, K, Monterubio Flores, E, Foeger, B, Foo, LH, Forslund, A-S, Forsner, M, Fouad, HM, Francis, DK, Franco, MDC, Franco, OH, Frontera, G, Fuchs, FD, Fuch, SC, Fujita, Y, Furusawa, T, Gaciong, Z, Gafencu, M, Galeone, D, Galvano, F, Garcia-de-la-Hera, M, Gareta, D, Garnett, SP, Gaspoz, J-M, Gasull, M, Gates, L, Geiger, H, Geleijnse, JM, Ghasemian, A, Giampaoli, S, Gianfagna, F, Gill, TK, Giovannelli, J, Giwerman, A, Godos, J, Gogen, S, Goldsmith, RA, Goltzman, D, Goncalves, H, Gonzalez-Leon, M, Gonzalez-Rivas, JP, Gonzalez-Gross, M, Gottrand, F, Graca, AP, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grontved, A, Grosso, G, Gruden, G, Grujic, V, Gu, D, Gualdi-Russo, E, Guallar-Castillon, P, Guan, OP, Gudmundsson, EF, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Gunter, M, Guo, X, Guo, Y, Gupta, PC, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Hadaegh, F, Hadjigeorgiou, CA, Si-Ramlee, K, Halkjaer, J, Hambleton, IR, Hardy, R, Kumar, RH, Hassapidou, M, Hata, J, He, J, Heidinger-Felso, R, Heinen, M, Hendriks, ME, Henriques, A, Cadena, LH, Herrala, S, Herrera, VM, Herter-Aeberli, I, Heshmat, R, Hihtaniemi, IT, Ho, SY, Ho, SC, Hobbs, M, Hofman, A, Hopman, WM, Horimoto, ARVR, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MMT, Hu, Y, Huerta, JM, Petrescu, CH, Huisman, M, Husseini, A, Huu, CN, Huybrechts, I, Hwalla, N, Hyska, J, Iacoviello, L, Iannone, AG, Ibarluzea, JM, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Ismail, AA-S, Ivkovic, V, Iwasaki, M, Jackson, RT, Jacobs, JM, Jaddou, H, Jafar, T, Jamil, KM, Jamrozik, K, Janszky, I, Jarani, J, Jasienska, G, Jelakovic, A, Jelakovic, B, Jennings, G, Jeong, S-L, Jiang, CQ, Magaly Jimenez-Acosta, S, Joffres, M, Johansson, M, Jonas, JB, Jorgensen, T, Joshi, P, Jovic, DP, Jozwiak, J, Juolevi, A, Jurak, G, Juresa, V, Kaaks, R, Kafatos, A, Kajantie, EO, Kalter-Leibovici, O, Kamaruddin, NA, Kapantais, E, Karki, KB, Kasaeian, A, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, G, Keil, U, Boker, LK, Keinanen-Kiukaanniemi, S, Kelleher, C, Kemper, HCG, Kerimkulova, A, Kersting, M, Key, T, Khader, OS, Khalili, D, Khateeb, M, Khaw, K-T, Khouw, IMSL, Kiechl-Kohlendorfer, U, Kiech, S, Killewo, J, Kim, J, Kim, Y-Y, Klimont, J, Klumbiene, J, Knoflach, M, Koirala, B, Kolle, E, Kolsteren, P, Korrovits, P, Kos, J, Koskinen, S, Kouda, K, Kovacs, VA, Kowlessur, S, Koziel, S, Kratzer, W, Kriemler, S, Kristensen, PL, Krokstad, S, Kromhout, D, Kruger, HS, Kubinova, R, Kuciene, R, Kuh, D, Kujala, UM, Kulaga, Z, Kumar, RK, Kunesova, M, Kurjata, P, Kusuma, YS, Kuulasmaa, K, Kyobutungi, C, La, QN, Laamiri, FZ, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Larijani, B, Laugsand, LE, Lauria, L, Bao, KLN, Le, TD, Lebanan, MAO, Leclercq, C, Lee, J, Lehtimaki, T, Leon-Munoz, LM, Levitt, NS, Lilly, CL, Lim, W-Y, Fernanda Lima-Costa, M, Lin, H-H, Lin, X, Lind, L, Linneberg, A, Lissner, L, Litwin, M, Liu, J, Loit, H-M, Lopes, L, Lorbeer, R, Lotufo, PA, Eugenio Lozano, J, Luksiene, D, Lundqvist, A, Lunet, N, Lytsy, P, Ma, G, Machado-Coelho, GLL, Machado-Rodrigues, AM, Machi, S, Maggi, S, Magliano, DJ, Magriplis, E, Mahaletchumy, A, Maire, B, Majer, M, Makdisse, M, Malekzadeh, R, Malhotra, R, Rao, KM, Malyutina, S, Manios, Y, Mann, JI, Manzato, E, Margozzini, P, Markaki, A, Markey, O, Marques, LP, Marques-Vidal, P, Marrugat, J, Martin-Prevel, Y, Martin, R, Martorell, R, Martos, E, Marventano, S, Masoodi, SR, Mathiesen, EB, Matijasevich, A, Matsha, TE, Mazur, A, Mbanya, JCN, McFarlane, SR, McGarvey, ST, McKee, M, McLac, S, McLean, RM, McLean, SB, McNulty, BA, Yusof, SM, Mediene-Benchekor, S, Medzioniene, J, Meirhaeghe, A, Meisfjord, J, Meisinger, C, Menezes, AMB, Menon, GR, Mensink, GBM, Meshram, II, Metspalu, A, Meyer, HE, Mi, J, Michaelsen, KF, Michels, N, Mikkel, K, Miller, JC, Minderico, CS, Miquel, JF, Mirkopoulou, D, Mirrakhimov, E, Misigoj-Durakovic, M, Mistretta, A, Mocanu, V, Modesti, PA, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohan, V, Mohanna, S, Yusoff, MFM, Molbo, D, Mollehave, LT, Moller, NC, Molnar, D, Momenan, A, Mondo, CK, Monterrubio, EA, Monyeki, KDK, Moon, JS, Moreira, LB, Morejo, A, Moreno, LA, Morgan, K, Mortensen, EL, Moschonis, G, Mossakowska, M, Mota, J, Mota-Pinto, A, Motlag, ME, Motta, J, Mu, TT, Muc, M, Muiesan, ML, Mueller-Nurasyid, M, Murphy, N, Mursu, J, Murtagh, EM, Musil, V, Nabipour, I, Nagel, G, Naidu, BM, Nakamura, H, Namesna, J, Nang, EEK, 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Author Publ Hlth, Suraj Eye Inst, Helen Keller Int, Natl Inst Hyg & Epidemiol, Univ Pharm & Med Ho Chi Minh City, Hanoi Med Univ, Miami Vet Affairs Healthcare Syst, Heartfile, Eastern Mediterranean Publ Hlth Network, State Univ Med & Pharm, Tachikawa Gen Hosp, Acad Hosp Paramaribo, Univ Vale Rio dos Sinos, Natl Food & Nutr Inst, Univ Madeira, Univ Puerto Rico, MRC Lifecourse Epidemiol Unit, Aarhus Univ, Kwame Nkrumah Univ Sci & Technol, Inst Social & Prevent, Canc Prevent & Res Inst, Univ Wisconsin Madison, IRCCS Casa Sollievo Sofferenz, Zayed Univ, Catholic Univ Daegu, Tg Mures Univ Med & Pharm, Jivandeep Hosp, Univ Med Ctr Utrecht, Spanish Agcy Consumer Affairs Social Serv & Nutr, Minist Hlth & Med Educ, Vietnam Natl Heart Inst, Univ Sarajevo, Cardiovasc Prevent Ctr Udine, Univ Hosp Pisa, Minist Hlth & Med Serv, Publ Hlth Agcy Catalonia, Inst Hosp Mar Invest Med, Agcy Prevent and Social Med, Digest Oncol Res Ctr, Digest Dis Res Inst, CHU Vaudois, Ctr Dis & Prevent Control, Alborz 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Beijing, West Kazakhstan State Med Univ, Inner Mongolia Med Univ, Gorgas Mem Inst Publ Hlth, Internal Medicine, Epidemiology, Erasmus MC other, Pediatrics, Public Health, and Clinical Genetics

Subjects
SDG 3 - Good Health and Well-being, Medicine (all)
Abstract

Made available in DSpace on 2018-11-26T20:04:45Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-12-16 Wellcome Trust AstraZeneca Background Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128.9 million participants aged 5 years and older, including 31.5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). Findings Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0.01 kg/m (2) per decade; 95% credible interval -0.42 to 0.39, posterior probability [PP] of the observed decrease being a true decrease= 0.5098) in eastern Europe to an increase of 1.00 kg/m(2) per decade (0.69-1.35, PP> 0.9999) in central Latin America and an increase of 0.95 kg/m (2) per decade (0.64-1.25, PP> 0.9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0.09 kg/m(2) per decade (-0.33 to 0.49, PP= 0.6926) in eastern Europe to an increase of 0.77 kg/m (2) per decade (0.50-1.06, PP> 0.9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0.7% (0.4-1.2) in 1975 to 5.6% (4.8-6.5) in 2016 in girls, and from 0.9% (0.5-1.3) in 1975 to 7.8% (6.7-9.1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9.2% (6.0-12.9) in 1975 to 8.4% (6.8-10.1) in 2016 in girls and from 14.8% (10.4-19.5) in 1975 to 12.4% (10.3-14.5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22.7% (16.7-29.6) among girls and 30.7% (23.5-38.0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. Interpretation The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. 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Rech Dev, Montpellier, France French Publ Hlth Agcy, St Maurice, France Univ Vale Rio Sino, Sao Leopoldo, Brazil Natl Council Sci & Tech Res, Buenos Aires, DF, Argentina Univ Zagreb, Zagreb, Croatia Univ Tehran Med Sci, Tehran, Iran Natl Inst Nutr, Hanoi, Vietnam Univ Queensland, Brisbane, Qld, Australia Ist Super Sanita, Rome, Italy Helmholtz Zentrum Munchen, Munich, Germany Minist Sante & Lutte Contre Sida, Abidjan, Cote Ivoire Cardinal Wyszynski Inst Cardiol, Warsaw, Poland Beijing Ctr Dis Prevent & Control, Beijing, Peoples R China Univ Latvia, Riga, Latvia Univ Benin, Benin, Nigeria Univ Skovde, Skovde, Sweden Natl Inst Nutr & Food Technol, Tunis, Tunisia Univ Calif Davis, Davis, CA 95616 USA Univ Stellenbosch, Stellenbosch, South Africa Karadeniz Tech Univ, Trabzon, Turkey Univ Southern Copenhagen, Copenhagen, Denmark Natl Inst Hlth & Welfare, Helsinki, Finland Queens Univ Belfast, Belfast, Antrim, North Ireland Univ Zurich, Zurich, Switzerland Primary Health Care, Floriana, Malta Ctr Salud Villanueva Norte, Villanueva De La Serena, Spain Univ West Indies, Mona, Jamaica Hosp Don Benito Villanueva de la Serena, Villanueva De La Serena, Spain Minist Hlth, Buenos Aires, DF, Argentina Council Agr Res & Econ, Rome, Italy Pontificia Univ Catolica Chile, Santiago, Chile Univ Toulouse, Sch Med, Toulouse, France Univ Manchester, Manchester, Lancs, England Univ Tartu, Tartu, Estonia Inst Nacl Salud Publ, Cuernavaca, Morelos, Mexico Univ Sains Malaysia, George Town, Malaysia Umea Univ, Umea, Sweden Dalarna University, Falun, Sweden Univ West Indies, Kingston, Jamaica Univ Fed Sao Paulo, Sao Paulo, Brazil Hosp Univ Son Espases, Palma De Mallorca, Spain Hosp Clin Porto Alegre, Porto Alegre, RS, Brazil Univ Fed Rio Grande do Sul, Rio Grande, Brazil Kindai Univ, Higashiosaka, Osaka, Japan Kyoto Univ, Kyoto, Japan Med Univ Warsaw, Warsaw, Poland Minist Hlth, Rome, Italy Univ Catania, Catania, Italy CIBER Epidemiol & Salud Publ, Barcelona, Spain Univ KwaZulu Natal, Durban, 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Fortitude Valley, Australia Natl Hlth Insurance Serv, Seoul, South Korea Guangzhou 12th Hosp, Guangzhou, Guangdong, Peoples R China Natl Inst Hyg Epidemiol & Microbiol, Havana, Cuba Simon Fraser Univ, Burnaby, BC, Canada Heidelberg Univ, Heidelberg, Germany World Hlth Org Country Off, Agra, Uttar Pradesh, India Inst Publ Hlth Serbia, Belgrade, Serbia Czestochowa Tech Univ, Czestochowa, Poland Univ Ljubljana, Ljubljana, Slovenia Univ Crete, Rethimnon, Greece Univ Kebangsaan Malaysia, Bangi, Malaysia Hellen Med Assoc Obes, Athens, Greece Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD USA Univ Eastern Finland, Joensuu, Finland Natl Inst Epidemiol, Madras, Tamil Nadu, India Ufa Eye Res Inst, Ufa, Russia Univ Munster, Munster, Germany Israel Ctr for Dis Control, Ramat Gan, Israel Oulu Univ Hosp, Oulu, Finland Isfahan Univ Med Sci, Isfahan, Israel Kyrgyz State Med Acad, Bishkek, Kyrgyzstan Res Inst Child Nutr, Dortmund, Germany Natl Ctr Diabetes & Endocrinol, Amman, Jordan Univ Cambridge, Cambridge, England Med Univ Innsbruck, Innsbruck, Austria Muhimbili Univ Hlth & Allied Sci, Dar Es Salaam, Tanzania Natl Canc Ctr, Goyang Si, South Korea Natl Hlh Insurance Serv, Seoul, South Korea Stat Austria, Vienna, Austria BP Koirala Inst Hlth Sci, Dharan, Nepal Inst Trop Med, Antwerp, Belgium Tartu Univ Clin, Tartu, Estonia Natl Inst Pharm & Nutr, Budapest, Hungary Minis Hlth & Qual Life, Port Louis, Mauritius Polish Acad Sci, Anthropol Unit Wroclaw, Wroclaw, Poland Univ Hosp Ulm, Ulm, Germany Univ Groningen, Groningen, Netherlands North West Univ, Potchefstroom, South Africa Natl Inst Publ Hlth, Prague, Czech Republic Univ Jyvaskyla, Jyvaskyla, Finland Amrita Inst Med Sci, Thiruvananthapuram, Kerala, India Inst Endocrinol, Prague, Czech Republic All India Inst Med Sci, New Delhi, India African Populat & Hlth Res Ctr, Nairobi, Kenya Hanoi Univ Publ Hlth, Hanoi, Vietnam Higher Inst Nursing Profess & Tech Hlth Morocco, Rabat, Morocco Natl Inst Publ Hlth Algeria, Algiers, 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Prevent & Res Inst, Florence, Italy Univ Wisconsin Madison, Madison, WI USA IRCCS Casa Sollievo Sofferenz, San Giovanni Rotondo, Italy Zayed Univ, Dubai, U Arab Emirates Catholic Univ Daegu, Gyongsan, South Korea Tg Mures Univ Med & Pharm, Targu Mures, Romania Jivandeep Hosp, Surat, India South African Med Res Council, Tygerberg, South Africa Univ Med Ctr Utrecht, Utrecht, Netherlands Fundacao Oswaldo Cruz, Rene Rachou Res Inst, Rio De Janeiro, Brazil Spanish Agcy Consumer Affairs Social Serv & Nutr, Madrid, Spain Univ Puerto Rico, Med Sci Campus, San Juan, PR USA Minist Hlth & Med Educ, Tehran, Iran Vietnam Natl Heart Inst, Hanoi, Vietnam Leibniz Inst Prevent Res & Epidemiol BIPS, Bremen, Germany Univ Sarajevo, Sarajevo, Bosnia & Herceg Cardiovasc Prevent Ctr Udine, Udine, Italy Univ Hosp Pisa, Pisa, Italy Minist Hlth & Med Serv, Honiara, Solomon Islands Publ Hlth Agcy Catalonia, Barcelona, Spain Univ Kebangsaan Malaysia, Kuala Lumpur, Malaysia Univ Montenegro, Podgorica, Montenegro Inst Hosp Mar Invest Med, Barcelona, Spain Agcy Prevent and Social Med, Innsbruck, Austria Digest Oncol Res Ctr, Tehran, Iran Digest Dis Res Inst, Tehran, Iran CHU Vaudois, Lausanne, Switzerland Ctr Dis & Prevent Control, Riga, Latvia Al Quds Univ, Jerusalem, Israel Alborz Univ Med Sci, Karaj, Iran Minist Hlth, Hanoi, Vietnam BRAC, Dhaka, Bangladesh Inst Epidemiol Dis Control & Res, Dhaka, Bangladesh Univ Turku, Turku, Finland India Diabet Res Fdn, Madras, Tamil Nadu, India Univ New South Wales, Sydney, NSW, Australia Inst Univ Invest Atencio Primaria Jordi Gol, Barcelona, Spain Univ Malaya, Kuala Lumpur, Malaysia Univ Valencia, Valencia, Spain Univ Philippines, Quezon City, Philippines Nutr Res Fdn, Barcelona, Spain Minas Gerais State Secretariat Hlth, Belo Horizonte, MG, Brazil Hlth Ctr San Agustin, San AgustIn, Spain PharmAccess Fdn, Amsterdam, Netherlands Natl Inst Hlth Doutor Ricardo Jorge, Lisbon, Portugal Publ Hlth Agcy Canada, Ottawa, ON, Canada Canarian Hlth Serv, Barcelona, Spain Univ Ind Santander, Bucaramanga, Colombia Inst Nacl Salud Publ, Mexico City, DF, Mexico CIBEROBN, Madrid, Spain Gothenburg Univ, Gothenburg, Sweden Fiji Natl Univ, Suva, Fiji CNR, Inst Food Sci, Rome, Italy Sitaram Bhartia Inst Sci & Res, New Delhi, India Univ Tunis El Mana, Tunis, Tunisia Natl Inst Publ Hlth, Mexico City, DF, Mexico Univ Helsinki, Helsinki, Finland Natl Inst Hlth Peru, Lima, Peru Minist Hlth, South Jakarta, Indonesia Catalan Dept Hlth, Barcelona, Spain Publ Hlth Subdelegate Off, Barcelona, Spain Univ Lisbon, Lisbon, Portugal Prevent Med & Publ Hlth, Lisbon, Portugal Univ Sao Paulo, Clin Hosp, Sao Paulo, Brazil South Karelia Social & Hlth Care Dist, Lappeenranta, Finland Isfahan Cardiovasc Res Ctr, Esfahan, Iran Hosp Italiano Buenos Aires, Buenos Aires, DF, Argentina Rigshosp, Copenhagen, Denmark Minist Hlth, Naypyidaw, Myanmar Lagos State Univ, Coll Med, Lagos, Nigeria Univ Las Palmas Gran Canaria, Las Palmas Gran Canaria, Spain Baker Heart and Diabet Inst, Melbourne, Vic, Australia Univ Tokyo, Tokyo, Japan Samsung Med Ctr, Seoul, South Korea Finnish Inst Occupat Hlth, Helsinki, Finland St Vincents Hosp, Melbourne, Vic, Australia Acad Med Ctr Amsterdam, Amsterdam, Netherlands Hlth Polytech Jakarta II Inst, Jakarta, Indonesia Univ Bari, Bari, Italy Inst Reg Sante Publ, Cotonou, Benin Univ Bordeaux, Bordeaux, France Inst Publ Hlth Republ Macedonia, Skopje, Macedonia Univ Leuven, Leuven, Belgium Lamprecht & Stamm Sozialforsch & Beratung AG, Zurich, Switzerland INSERM, Paris, France Univ Bonn, Bonn, Germany Sotiria Hosp, Athens, Greece Natl Inst Publ Hlth, Natl Inst Hyg, Warsaw, Poland Swansea Univ, Swansea, W Glam, Wales Fu Jen Catholic Univ, New Taipei, Taiwan Minist Hlth, Amman, Jordan Natl Inst Hlth, Lima, Peru UNICEF, Yaounde, Cameroon Danish Canc Soc Res Ctr, Copenhagen, Denmark Hlth Serv Murcia, Murcia, Spain Res & Educ Inst, Nicosia, Cyprus IB SALUT Area Salut Menorca, Palma de Mallorca, Spain Univ Bologna, Bologna, Italy Hellen Hlth Fdn, Athens, Greece Univ Pharm & Med Ho Chi Min City, Ho Chi Minh, Vietnam Governm Med Coll, Secunderabad, India Sefako Makgatho Hlth Sci Univ, Kangnung, South Korea Addis Ababa Univ, Addis Ababa, Ethiopia Dasman Diabet Inst, Kuwait, Kuwait Minist Hlth, Thorndon, New Zealand Hellen Med Associat Obes, Athens, Greece Univ Ctr Occidental Lisandro Alvarado, Barquisimeto, Venezuela Meharry Med Coll, Nashville, TN USA Dokuz Eylul Univ, Izmir, Turkey Univ Tampere, Tays Eye Ctr, Tampere, Finland Polytech Inst Porto, Oporto, Portugal Univ Utrecht, Utrecht, Netherlands Amsterdam Publ Hlth Res Inst, Amsterdam, Netherlands Univ Fed Minas Gerais, Belo Horizonte, MG, Brazil Natl Inst Publ Hlth & Environm, Bilthoven, Netherlands Fed Univ Pelota, Pelotas, Brazil Italian Natl Res Council, Rome, Italy Univ Miguel Hernandez, Elche, Spain Minist Hlth, Victoria, Seychelles North Karelian Ctr Publ Hlth, Joensuu, Finland ISGlobal Ctr Res Environm Epidemiol, Barcelona, Spain Univ Witwatersrand, Johannesburg, South Africa Med Univ Vienna, Vienna, Austria Univ Coll Cork, Cork, Ireland Inst Med Res, Kuala Lumpur, Malaysia Xinjiang Med Univ, Urumqi, Peoples R China St Georges Univ London, London, England Univ Indonesia, Depok, Indonesia Natl Inst Hyg, Warsaw, Poland Caja Costarricense Seguro Social, Atenas, Costa Rica Univ Kebangsaan Malaysia, Bangi Selangor, Malaysia Univ New South Wales, Kensington, NSW, Australia Univ Mancheste, Manchester, Lancs, England Shandong Univ Tradit Chinese Med, Jinan, Shandong, Peoples R China Kailuan Gen Hosp, Tangshan, Peoples R China Minist Agr, Inst Food & Dev, Beijing, Peoples R China Fudan Univ, Childrens Hosp, Shanghai, Peoples R China Chinese Ctr Dis Control & Prevent, Beijing, Peoples R China Univ Cyprus, Nicosia, Cyprus Univ Teknol MARA, Shah Alam, Malaysia Capital Med Univ Beijing, An Zhen Hosp, Beijing, Peoples R China West Kazakhstan State Med Univ, Aktobe, Kazakhstan Inner Mongolia Med Univ, Hohhot, Peoples R China Gorgas Mem Inst Publ Hlth, Panama City, Panama Univ Estadual Paulista, Sao Paulo, Brazil

Published
2017

29. System Model Network for Adipose Tissue Signatures Related to Weight Changes in Response to Calorie Restriction and Subsequent Weight Maintenance

Author

Montastier, E., Villa-Vialaneix, N., Caspar-Bauguil, S., Hlavaty, P., Tvrzicka, E., Gonzalez, I., Saris, W., Langin, D., Kunesova, M., Viguerie, N., Laboratoire de recherche sur les obésités (Equipe 4), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Departments of Clinical Biochemistry and Nutrition [Toulouse], CHU Toulouse [Toulouse], Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM), Université Paris 1 Panthéon-Sorbonne (UP1), Obesity Management Centre [Prague, République tchèque], Institute of Endocrinology [Prague, République tchèque], Fourth Department of Internal Medicine [Prague, République tchèque], First Medical School [Prague, République tchèque], Charles University [Prague] (CU)-Charles University [Prague] (CU), Department of Human Biology [Maastricht, Pays-Bas], NUTRIM School for Nutrition, Toxicology and Metabolism [Maastricht, Pays-Bas], Maastricht University Medical Centre [Maastricht, Pays-Bas] (MUMC)-Maastricht University Medical Centre [Maastricht, Pays-Bas] (MUMC), The study was supported by funding from the European Communities (DiOGenes, FP6-513946, MolPAGE, LSHG-CT-2004-512066 and ADAPT, HEALTH-F2-2008-2011 00), Fondation pour la Recherche Médicale, Agence Nationale de la Recherche (LIPOB and OBELIP), Région Midi-Pyrénées (to DL), IGA MZCR NT12342-5/2011, NT13735-4 and MZ00023761 Czech Republic Ministry of Health (to MK)., ANR-09-GENO-0018,LIPOB,Lipolyse et inflammation du tissu adipeux dans l'obésité(2009), ANR-12-BSV1-0025,ObeLip,Une nouvelle stratégie thérapeutique pour combattre les complications métaboliques de l'obésité : l'inhibition de la lipolyse adipocytaire(2012), European Project: 28823,MOLPAGE, Bodescot, Myriam, Physiopathologie moléculaire: des maladies rares aux maladies communes - Lipolyse et inflammation du tissu adipeux dans l'obésité - - LIPOB2009 - ANR-09-GENO-0018 - GENO - VALID, BLANC - Une nouvelle stratégie thérapeutique pour combattre les complications métaboliques de l'obésité : l'inhibition de la lipolyse adipocytaire - - ObeLip2012 - ANR-12-BSV1-0025 - BLANC - VALID, Molecular Phenotyping to Accelerate Genomic Epidemiology - MOLPAGE - 28823 - OLD, Service Endocrinologie, maladies métaboliques et nutrition [CHU Toulouse], Pôle Cardiovasculaire et Métabolique [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université Panthéon-Sorbonne (UP1), Charles University [Prague]-Charles University [Prague], Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), RS: NUTRIM - HB/BW section A, RS: NUTRIM - R1 - Metabolic Syndrome, and Humane Biologie

Subjects
Adult, QH301-705.5, Biotechnologies, METABOLISM, Young Adult, INFLAMMATION, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Weight Loss, Humans, Gene Regulatory Networks, Obesity, Biology (General), DE-NOVO LIPOGENESIS, GENE-EXPRESSION, Caloric Restriction, INSULIN-RESISTANCE, Gene Expression Profiling, Middle Aged, ADIPOCYTES, Santé publique et épidémiologie, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Adipose Tissue, ACID, Applications, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Female, SENSITIVITY, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, OBESE SUBJECTS, TRIGLYCERIDES, Research Article
Abstract

Nutrigenomics investigates relationships between nutrients and all genome-encoded molecular entities. This holistic approach requires systems biology to scrutinize the effects of diet on tissue biology. To decipher the adipose tissue (AT) response to diet induced weight changes we focused on key molecular (lipids and transcripts) AT species during a longitudinal dietary intervention. To obtain a systems model, a network approach was used to combine all sets of variables (bio-clinical, fatty acids and mRNA levels) and get an overview of their interactions. AT fatty acids and mRNA levels were quantified in 135 obese women at baseline, after an 8-week low calorie diet (LCD) and after 6 months of ad libitum weight maintenance diet (WMD). After LCD, individuals were stratified a posteriori according to weight change during WMD. A 3 steps approach was used to infer a global model involving the 3 sets of variables. It consisted in inferring intra-omic networks with sparse partial correlations and inter-omic networks with regularized canonical correlation analysis and finally combining the obtained omic-specific network in a single global model. The resulting networks were analyzed using node clustering, systematic important node extraction and cluster comparisons. Overall, AT showed both constant and phase-specific biological signatures in response to dietary intervention. AT from women regaining weight displayed growth factors, angiogenesis and proliferation signaling signatures, suggesting unfavorable tissue hyperplasia. By contrast, after LCD a strong positive relationship between AT myristoleic acid (a fatty acid with low AT level) content and de novo lipogenesis mRNAs was found. This relationship was also observed, after WMD, in the group of women that continued to lose weight. This original system biology approach provides novel insight in the AT response to weight control by highlighting the central role of myristoleic acid that may account for the beneficial effects of weight loss., Author Summary Obesity is an excess fat mass leading to metabolic diseases. Dietary management is a conventional strategy to promote weight loss. As energy buffering, in the form of esterified fatty acids, and secretory organ, the adipose tissue has a pivotal role in obesity and its related complications. A comprehensive insight of adipose tissue response during and after calorie restriction might improve obesity management. Modern nutrition research study the impact of diet on health by combining multiple datasets to provide an holistic view of tissue physiopathology. To identify significant clusters of fatty acids, transcripts or bio-clinical parameters related to weight change along calorie restriction and subsequent weight follow-up in obese individuals, the issue of different datasets integration must be resolved. Here, we implemented an innovative multistep approach to infer multi-data networks and compare clusters of network components. This original strategy highlighted an unexpected central role of a minor adipose tissue fatty acid, myristoleic acid, which is not provided by food. Its link to transcripts encoding enzymes from a pathway converting glucose into fat that mediates favorable metabolic effects makes myristoleic acid a key factor of the positive impact of fat mass reduction.

Published
2015
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30. Socioeconomic inequalities in childhood overweight : heterogeneity across five countries in the WHO European Childhood Obesity Surveillance Initiative (COSI-2008)

Author

Lissner, L., Wijnhoven, T. M. A., Mehlig, K., Sjöberg, A., Kunesova, M., Yngve, Agneta, Petrauskiene, A., Duleva, V., Rito, A. I., Breda, J., Lissner, L., Wijnhoven, T. M. A., Mehlig, K., Sjöberg, A., Kunesova, M., Yngve, Agneta, Petrauskiene, A., Duleva, V., Rito, A. I., and Breda, J.

Abstract

BACKGROUND: Excess risk of childhood overweight and obesity occurring in socioeconomically disadvantaged families has been demonstrated in numerous studies from high-income regions, including Europe. It is well known that socioeconomic characteristics such as parental education, income and occupation are etiologically relevant to childhood obesity. However, in the pan-European setting, there is reason to believe that inequalities in childhood weight status may vary among countries as a function of differing degrees of socioeconomic development and equity. SUBJECTS AND METHODS: In this cross-sectional study, we have examined socioeconomic differences in childhood obesity in different parts of the European region using nationally representative data from Bulgaria, the Czech Republic, Lithuania, Portugal and Sweden that were collected in 2008 during the first round of the World Health Organization ( WHO) European Childhood Obesity Surveillance Initiative. RESULTS: Heterogeneity in the association between parental socioeconomic indicators and childhood overweight or obesity was clearly observed across the five countries studied. Positive as well as negative associations were observed between parental socioeconomic indicators and childhood overweight, with statistically significant interactions between country and parental indicators. CONCLUSIONS: These findings have public health implications for the WHO European Region and underscore the necessity to continue documenting socioeconomic inequalities in obesity in all countries through international surveillance efforts in countries with diverse geographic, social and economic environments. This is a prerequisite for universal as well as targeted preventive actions., Funding Agencies:Ministry of HealthNational Center of Public Health and AnalysesRegional Health InspectoratesInternal Grant Agency of the Ministry of Health IGA NS/9832-4Lithuanian State Science and Studies FoundationLithuanian University of Health SciencesResearch Council of Lithuania SIN-17/2012Ministry of Health and Regional Health DirectoratesSwedish Research Council for Health, Working Life and Welfare (FORTE)Directorate-General for Health of PortugalNational Health Institute Doutor Ricardo Jorge in Lisbon, PortugalNational Institute of Health in Rome, ItalyNorwegian Institute of Public Health in Oslo, NorwayHellenic Medical Association for Obesity in Athens, GreeceDirectorate-General for Health of FranceKarolinska Institute in Huddinge, Sweden

Published
2016
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31. WHO European Childhood Obesity Surveillance Initiative: impact of type of clothing worn during anthropometric measurements and timing of the survey on weight and body mass index outcome measures in 6–9-year-old children

Author

Wijnhoven, T.M.A., van Raaij, J.M.A., Spinelli, A., Yngve, Agneta, Lissner, L., Spiroski, I., Farrugia Sant Angelo, V., Pérez-Farinós, Napoleon, Martos, E., Heinen, M., Kunesova, M., Rito, A.I., Hovengen, R., Starc, G., Duleva, Vesselka, Pudule, I., Petrauskiene, Ausra, Braeckevelt, L., Hassapidou, M., Breda, João, van 't Veer, P., Wijnhoven, T.M.A., van Raaij, J.M.A., Spinelli, A., Yngve, Agneta, Lissner, L., Spiroski, I., Farrugia Sant Angelo, V., Pérez-Farinós, Napoleon, Martos, E., Heinen, M., Kunesova, M., Rito, A.I., Hovengen, R., Starc, G., Duleva, Vesselka, Pudule, I., Petrauskiene, Ausra, Braeckevelt, L., Hassapidou, M., Breda, João, and van 't Veer, P.

Abstract

The World Health Organization European Childhood Obesity Surveillance Initiative (COSI) conducted examinations in 6–9-year-old children from 16 countries in the first two rounds of data collection. Allowing participating countries to adhere to their local legal requirements or adapt to other circumstances required developing a flexible protocol for anthropometricprocedures.Objectives. (1) Review intercountry variation in types of clothing worn by children during weight and height measurements, clothes weight adjustments applied, timing of the survey, and duration of data collection; (2) assess the impact of the observed variation in these practices on the children’s weight or body mass index (BMI) outcome measures.Results.The relative difference between countries’ unadjusted and clothes-adjusted prevalence estimates for overweight was 0.3–11.5%; this figure was 1.4–33.3% for BMI-for-age Z -score values. Monthly fluctuations in mean BMI-for-ageZ -score values did not show a systematic seasonal effect. The majority of the monthly BMI-for-age Z-score values did not differ statistically within a country;only 1–3 monthly values were statistically different within some countries.Conclusions. The findings of the present study suggest that the built-in flexibility in the COSI protocol concerning the data collection practices addressed in the paper can be kept and thus do not necessitate a revision of the COSI protocol.

Published
2016

32. WHO European Childhood Obesity Surveillance Initiative 2008: weight, height and body mass index in 6–9-year-old children

Author

Wijnhoven, T.M.A., van Raaij, J.M.A., Spinelli, A, Rito, A.I., Hovengen, R., Kunesova, M., Starc, G., Rutter, H, Sjoberg, A, Petrauskiene, A., O'Dwyer, U., Petrova, S., Farrugia Sant'Angelo, V., Wauters, M, Yngve, A., Rubana, I.M., and Breda, J

Subjects
Schoolchildren, Obesity, COSI, Overweight, Estilos de Vida e Impacto na Saúde
Abstract

Background: Nutritional surveillance in school-age children, using measured weight and height, is not common in the European Region of the World Health Organization (WHO). The WHO Regional Office for Europe has therefore initiated the WHO European Childhood Obesity Surveillance Initiative. Objective: To present the anthropometric results of data collected in 2007/2008 and to investigate whether there exist differences across countries and between the sexes. Methods: Weight and height were measured in 6–9-year-old children in 12 countries. Prevalence of overweight, obesity, stunting, thinness and underweight as well as mean Z-scores of anthropometric indices of height, weight and body mass index were calculated. Results: A total of 168 832 children were included in the analyses and a school participation rate of more than 95% was obtained in 8 out of 12 countries. Stunting, underweight and thinness were rarely prevalent. However, 19.3-49.0% of boys and 18.4-42.5% of girls were overweight (including obesity and based on the 2007 WHO growth reference).The prevalence of obesity ranged from 6.0 to 26.6% among boys and from 4.6 to 17.3% among girls. Multi-country comparisons suggest the presence of a north–south gradient with the highest level of overweight found in southern European countries. Conclusions: Overweight among 6–9-year-old children is a serious public health concern and its variation across the European Region highly depends on the country. Comparable monitoring of child growth is possible across Europe and should be emphasized in national policies and implemented as part of action plans.

Published
2012

34. Weight loss maintenance in overweight subjects on ad libitum diets with high or low protein content and glycemic index:the DIOGENES trial 12-months results

Author

Aller, E E J G, Larsen, Thomas Meinert, Holst, Claus, Karin Lindroos, A, Kafatos, A, Pfeiffer, A, Martinez, J A, Handjieva-Darlenska, T, Kunesova, M, Stender, Steen, Saris, W H M, Astrup, Arne, van Baak, M A, Aller, E E J G, Larsen, Thomas Meinert, Holst, Claus, Karin Lindroos, A, Kafatos, A, Pfeiffer, A, Martinez, J A, Handjieva-Darlenska, T, Kunesova, M, Stender, Steen, Saris, W H M, Astrup, Arne, and van Baak, M A

Abstract

Background:A high dietary protein (P) content and low glycemic index (GI) have been suggested to be beneficial for weight management, but long-term studies are scarce.Objective:The DIOGENES randomized clinical trial investigated the effect of P and GI on weight loss maintenance in overweight or obese adults in 8 centers across Europe. This study reports the 1-year results in 2 of the centers that extended the intervention to 1 year.Method:After an 8-week low calorie diet (LCD), 256 adults (BMI>27 kg/m(2)) were randomized to 5 ad libitum diets for 12 months: high P/low GI (HP/LGI), high P/high GI (HP/HGI), low P/low GI (LP/LGI), low P/high GI (LP/HGI) and a control diet. During the first 6 months foods were provided for free through a shop system, during the whole 12-month period subjects received guidance by a dietician. Primary outcome variable was the change in body weight over the 12-month intervention period.Results:During the LCD period subjects lost 11.2 (10.8, 12.0) kg (mean (95% CI)). Average weight regain over the 12-month intervention period was 3.9 (95% CI 3.0 to 4.8) kg. Subjects on the HP diets regained less weight than subjects on the LP diets. The difference in weight regain after 1 year was 2.0 (0.4, 3.6) kg (P=0.017) (completers analysis, N=139) or 2.8 (1.4, 4.1) kg (P

Published
2014

35. WHO European Childhood Obesity Surveillance Initiative: School Nutrition Environment and Body Mass Index in Primary Schools

Author

Wijnhoven, T.M.A., van Raaij, J.M.A., Sjöberg, A., Eldin, N., Yngve, A., Kunesova, M., Stare, G., Rito, A.I., Duleva, V., Hassapidou, M., Martos, E., Pudule, I., Petrauskiene, A., Farrugia Sant Angelo, V., Hovengen, R., Breda, J., Wijnhoven, T.M.A., van Raaij, J.M.A., Sjöberg, A., Eldin, N., Yngve, A., Kunesova, M., Stare, G., Rito, A.I., Duleva, V., Hassapidou, M., Martos, E., Pudule, I., Petrauskiene, A., Farrugia Sant Angelo, V., Hovengen, R., and Breda, J.

Abstract

Background: Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention. Objective: To assess differences in school nutrition environment and body mass index (BMI) in primary schools between and within 12 European countries. Methods: Data from the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) were used (1831 and 2045 schools in 2007/2008 and 2009/2010, respectively). School personnel provided information on 18 school environmental characteristics on nutrition and physical activity. A school nutrition environment score was calculated using five nutrition-related characteristics whereby higher scores correspond to higher support for a healthy school nutrition environment. Trained field workers measured children’s weight and height; BMI-for-age (BMI/A) Z-scores were computed using the 2007 WHO growth reference and, for each school, the mean of the children’s BMI/A Z-scores was calculated. Results: Large between-country differences were found in the availability of food items on the premises (e.g., fresh fruit could be obtained in 12%-95% of schools) and school nutrition environment scores (range: 0.30-0.93). Low-score countries (Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania) graded less than three characteristics as supportive. High-score (=0.70) countries were Ireland, Malta, Norway, Portugal, Slovenia and Sweden. The combined absence of cold drinks containing sugar, sweet snacks and salted snacks were more observed in high-score countries than in low-score countries. Largest within-country school nutrition environment scores were found in Bulgaria, Czech Republic, Greece, Hungary, Latvia and Lithuania. All country-level BMI/A Z-scores were positive (range: 0.20-1.02), indicating higher BMI values than the 2007 WHO growth reference. With the exception of Norway and Sweden, a country-specific association between the school nutrition envir

Published
2014

36. WHO European Childhood Obesity Surveillance Initiative: body mass index and level of overweight among 6-9-year-old children from school year 2007/2008 to school year 2009/2010

Author

Wijnhoven, T.M.A., van Raaij, J.M.A., Spinelli, A., Starc, G., Hassapidou, M., Spiroski, I., Rutter, H., Martos, E., Rito, A.I., Hovengen, R., Perez-Farinos, N., Petrauskiene, A., Eldin, N., Braeckevelt, L., Pudule, I., Kunesova, M., Breda, J., Wijnhoven, T.M.A., van Raaij, J.M.A., Spinelli, A., Starc, G., Hassapidou, M., Spiroski, I., Rutter, H., Martos, E., Rito, A.I., Hovengen, R., Perez-Farinos, N., Petrauskiene, A., Eldin, N., Braeckevelt, L., Pudule, I., Kunesova, M., and Breda, J.

Abstract

Background: The World Health Organization (WHO) Regional Office for Europe has established the Childhood Obesity Surveillance Initiative (COSI) to monitor changes in overweight in primary-school children. The aims of this paper are to present the anthropometric results of COSI Round 2 (2009/2010) and to explore changes in body mass index (BMI) and overweight among children within and across nine countries from school years 2007/2008 to 2009/2010. Methods: Using cross-sectional nationally representative samples of 6-9-year-olds, BMI, anthropometric Z-scores and overweight prevalence were derived from measured weight and height. Significant changes between rounds were assessed using variance and t-tests analyses. Results: At Round 2, the prevalence of overweight (including obesity; WHO definitions) ranged from 18% to 57% among boys and from 18% to 50% among girls; 6 - 31% of boys and 5 - 21% of girls were obese. Southern European countries had the highest overweight prevalence. Between rounds, the absolute change in mean BMI (range: from -0.4 to +0.3) and BMI-for-age Z-scores (range: from -0.21 to +0.14) varied statistically significantly across countries. The highest significant decrease in BMI-for-age Z-scores was found in countries with higher absolute BMI values and the highest significant increase in countries with lower BMI values. The highest significant decrease in overweight prevalence was observed in Italy, Portugal and Slovenia and the highest significant increase in Latvia and Norway. Conclusions: Changes in BMI and prevalence of overweight over a two-year period varied significantly among European countries. It may be that countries with higher prevalence of overweight in COSI Round 1 have implemented interventions to try to remedy this situation.

Published
2014

40. Short-term very low calorie diet reduces oxidative stress in obese type 2 diabetic patients

Author

Skrha, J., Kunesova, M., Hilgertova, J., Weiserova, H., Krizova, J., and Eva Kotrlikova

Subjects
Adult, Male, Physiology, Superoxide Dismutase, alpha-Tocopherol, Pilot Projects, General Medicine, Ascorbic Acid, Middle Aged, Oxidative Stress, Diabetes Mellitus, Type 2, Malondialdehyde, Humans, Female, Obesity, Biomarkers, Aged, Caloric Restriction
Abstract

Oxidative stress is higher in obese diabetic than in non-diabetic subjects. This pilot study evaluates oxidative stress during short-term administration of a very low calorie diet in obese persons. Nine obese Type 2 diabetic patients (age 55+/-5 years, BMI 35.9+/-1.9 kg/m2) and nine obese non-diabetic control subjects (age 52+/-6 years, BMI 37.3+/-2.1 kg/m2) were treated by a very low calorie diet (600 kcal daily) during 8 days stay in the hospital. Serum cholesterol, triglycerides, non-esterified fatty acids (NEFA), beta-hydroxybutyrate (B-HB), ascorbic acid (AA), alpha-tocopherol (AT), plasma malondialdehyde (MDA) and superoxide dismutase (SOD) activity in erythrocytes were measured before and on day 3 and 8 of very low calorie diet administration. A decrease of serum cholesterol and triglyceride concentrations on day 8 was associated with a significant increase of NEFA (0.30+/-0.13 vs. 0.47+/-0.11 micromol/l, p

Published
2005

41. WHO European Childhood Obesity Surveillance Initiative 2008 : weight, height and body mass index in 6-9-year-old children

Author

Wijnhoven, T M A, van Raaij, J M A, Spinelli, A, Rito, A I, Hovengen, R, Kunesova, M, Starc, G, Rutter, H, Sjöberg, A, Petrauskiene, A, O'Dwyer, U, Petrova, S, Farrugia Sant'angelo, V, Wauters, M, Yngve, Agneta, Rubana, I-M, Breda, J, Wijnhoven, T M A, van Raaij, J M A, Spinelli, A, Rito, A I, Hovengen, R, Kunesova, M, Starc, G, Rutter, H, Sjöberg, A, Petrauskiene, A, O'Dwyer, U, Petrova, S, Farrugia Sant'angelo, V, Wauters, M, Yngve, Agneta, Rubana, I-M, and Breda, J

Abstract

UNLABELLED: What is already known about this subject Overweight and obesity prevalence estimates among children based on International Obesity Task Force definitions are substantially lower than estimates based on World Health Organization definitions. Presence of a north-south gradient with the highest level of overweight found in southern European countries. Intercountry comparisons of overweight and obesity in primary-school children in Europe based on measured data lack a similar data collection protocol. What this study adds Unique dataset on overweight and obesity based on measured weights and heights in 6-9-year-old children from 12 European countries using a harmonized surveillance methodology. Because of the use of a consistent data collection protocol, it is possible to perform valid multiple comparisons between countries. It demonstrates wide variations in overweight and obesity prevalence estimates among primary-school children between European countries and regions. BACKGROUND: Nutritional surveillance in school-age children, using measured weight and height, is not common in the European Region of the World Health Organization (WHO). The WHO Regional Office for Europe has therefore initiated the WHO European Childhood Obesity Surveillance Initiative. OBJECTIVE: To present the anthropometric results of data collected in 2007/2008 and to investigate whether there exist differences across countries and between the sexes. METHODS: Weight and height were measured in 6-9-year-old children in 12 countries. Prevalence of overweight, obesity, stunting, thinness and underweight as well as mean Z-scores of anthropometric indices of height, weight and body mass index were calculated. RESULTS: A total of 168 832 children were included in the analyses and a school participation rate of more than 95% was obtained in 8 out of 12 countries. Stunting, underweight and thinness were rarely prevalent. However, 19.3-49.0% of boys and 18.4-42.5% of girls were overweight (inc, Funding Agencies:Flemish Agency for Care and Health and Ministry of EducationMinistry of Health, National Centre of Public Health Protection and Regional Inspectorates for Protection and Control of Public HealthWHO Regional Office for Europe and Producer ZepterDepartment of Health and ChildrenMinistry of HealthWHO Regional Office for EuropeLithuanian State Science and Studies FoundationScience Foundation of Kaunas University of MedicinePrimary Health Care DepartmentNorwegian Institute of Public HealthDirectorate of Health and Social AffairsRegional Health DirectoratesMinistry of Education and SportDirectorate-General for Health of FranceGeneral Health Directorate of PortugalNational Institute of Health in Lisbon, PortugalNational Institute of Health in Rome, ItalyKarolinska Institutet in Huddinge, Sweden

Published
2013
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42. Effect of dietary protein and glycemic index on metabolic syndrome status:the DIOGENES randomized controlled trial

Author

Papadaki, A, Linardakis, M, Plada, M, Larsen, Thomas Meinert, Damsgaard, Camilla Trab, van Baak, M, Jebb, S, Pfeiffer, A, Martinez, J, Handjieva-Darlenska, T, Kunesova, M, Holst, Claus, Saris, W, Astrup, Arne, Kafatos, A, Papadaki, A, Linardakis, M, Plada, M, Larsen, Thomas Meinert, Damsgaard, Camilla Trab, van Baak, M, Jebb, S, Pfeiffer, A, Martinez, J, Handjieva-Darlenska, T, Kunesova, M, Holst, Claus, Saris, W, Astrup, Arne, and Kafatos, A

Published
2013

44. Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index

Author

Wang, P., Wang, P., Holst, C., Andersen, M.R., Astrup, A., Bouwman, F.G., van Otterdijk, S., Wodzig, K.W.H., van Baak, M.A., Larsen, T.M., Jebb, S.A., Kafatos, A., Pfeiffer, A.F., Martinez, J.A., Handjieva Darlenska, T., Kunesova, M., Saris, W.H., Mariman, E.C., Wang, P., Wang, P., Holst, C., Andersen, M.R., Astrup, A., Bouwman, F.G., van Otterdijk, S., Wodzig, K.W.H., van Baak, M.A., Larsen, T.M., Jebb, S.A., Kafatos, A., Pfeiffer, A.F., Martinez, J.A., Handjieva Darlenska, T., Kunesova, M., Saris, W.H., and Mariman, E.C.

Abstract

BACKGROUND: Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance. OBJECTIVE: To identify blood predictors for weight change after weight loss following the dietary intervention within the Diogenes study. DESIGN: Blood samples were collected at baseline and after 8-week low caloric diet-induced weight loss from 48 women who continued to lose weight and 48 women who regained weight during subsequent 6-month dietary intervention period with 4 diets varying in protein and GI levels. Thirty-one proteins and 3 steroid hormones were measured. RESULTS: Angiotensin I converting enzyme (ACE) was the most important predictor. Its greater reduction during the 8-week weight loss was related to continued weight loss during the subsequent 6 months, identified by both Logistic Regression and Random Forests analyses. The prediction power of ACE was influenced by immunoproteins, particularly fibrinogen. Leptin, luteinizing hormone and some immunoproteins showed interactions with dietary protein level, while interleukin 8 showed interaction with GI level on the prediction of weight maintenance. A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24+/-1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%. CONCLUSIONS: A selected panel of blood proteins/steroids can predict the weight change after weight loss. ACE may play an important role in weight maintenance. The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss. REGISTRATION: ClinicalTrials.gov NCT00390637.

Published
2011

45. Liraglutide in obese adults is effective and has acceptable tolerability over 2 years

Author

Astrup, Arne, Carraro, R, Finer, N, Hartvig, H, Kunesova, M, Lean, M E J, Lindegaard, M L, Niskanen, L, Rissanen, A, Rossner, S, Savolainen, M J, van Gaal, L, Astrup, Arne, Carraro, R, Finer, N, Hartvig, H, Kunesova, M, Lean, M E J, Lindegaard, M L, Niskanen, L, Rissanen, A, Rossner, S, Savolainen, M J, and van Gaal, L

Published
2011

46. Predictors of weight loss maintenance and attrition during a 6 months dietary intervention period:results from the diogenes study

Author

Handjieva-Darlenska, T, Handjiev, S, Larsen, Thomas Meinert, van Baak, M, Jebb, S, Papadaki, A, Pfeiffer, A F H, Martinez, J A, Kunesova, M, Holst, C, Saris, W H M, Astrup, Arne, Handjieva-Darlenska, T, Handjiev, S, Larsen, Thomas Meinert, van Baak, M, Jebb, S, Papadaki, A, Pfeiffer, A F H, Martinez, J A, Kunesova, M, Holst, C, Saris, W H M, and Astrup, Arne

Published
2011

48. Predictors of weight loss maintenance and attrition during a 6-month dietary intervention period:results from the DiOGenes study

Author

Theodora, Handijeva-Darlinska, Handjiev, Sv., Larsen, Thomas Meinert, Baak, M.A. van, Lindroos, A., Papadaki, A., Pfeiffer, A.F.H., Martinez, J.A., Kunesova, M., Holst, Claus, Saris, W.H.M., Astrup, Arne, Theodora, Handijeva-Darlinska, Handjiev, Sv., Larsen, Thomas Meinert, Baak, M.A. van, Lindroos, A., Papadaki, A., Pfeiffer, A.F.H., Martinez, J.A., Kunesova, M., Holst, Claus, Saris, W.H.M., and Astrup, Arne

Published
2011

49. Initial weight loss on an 800-kcal diet as a predictor of weight loss success after 8 weeks:the Diogenes study

Author

Handjieva-Darlenska, T., Handjiev, S., Larsen, Thomas Meinert, van Baak, M.A., Jebb, S., Papadaki, A., Pfeiffer, A.F.H., Martinez, J.A., Kunesova, M., Holst, C., Saris, W.H.M., Astrup, Arne, Handjieva-Darlenska, T., Handjiev, S., Larsen, Thomas Meinert, van Baak, M.A., Jebb, S., Papadaki, A., Pfeiffer, A.F.H., Martinez, J.A., Kunesova, M., Holst, C., Saris, W.H.M., and Astrup, Arne

Published
2010

50. Weight loss with liraglutide in obese adults is primarily due to a reduction in fat tissue:a subgroup analysis of a 20-week randomised placebo-controlled trial

Author

Rissanen, A., Astrup, Arne, Al Hakim, M., Kunesova, M., Lindegaard, M., Rasmussen, M.F., Ridderstråle, M., Rössner, S., Sádaba, B., Van Gaal, L., the NN8022-1807 Study Group, Rissanen, A., Astrup, Arne, Al Hakim, M., Kunesova, M., Lindegaard, M., Rasmussen, M.F., Ridderstråle, M., Rössner, S., Sádaba, B., Van Gaal, L., and the NN8022-1807 Study Group

Published
2010

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