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2. Measuring the food and built environments in urban centres: Reliability and validity of the EURO-PREVOB Community Questionnaire

Author

Pomerleau, J., Knai, C., Foster, C., Rutter, H., Darmon, N., Derflerova Brazdova, Z., Hadziomeragic, A.F., Pekcan, G., Pudule, I., Robertson, A., Brunner, E., Suhrcke, M., Gabrijelcic Blenkus, M., Lhotska, L., Maiani, G., Mistura, L., Lobstein, T., Martin, B.W., Elinder, L.S., Logstrup, S., Racioppi, F., and McKee, M.

Published
2013
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5. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

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Iurilli, M.L.C. Zhou, B. Bennett, J.E. Carrillo-Larco, R.M. Sophiea, M.K. Rodriguez-Martinez, A. Bixby, H. Solomon, B.D. Taddei, C. Danaei, G. Di Cesare, M. Stevens, G.A. Riley, L.M. Savin, S. Cowan, M.J. Bovet, P. Damasceno, A. Chirita-Emandi, A. Hayes, A.J. Ikeda, N. Jackson, R.T. Khang, Y.-H. Laxmaiah, A. Liu, J. Miranda, J.J. Saidi, O. Sebert, S. Sorić, M. Starc, G. Gregg, E.W. Abarca-Gómez, L. Abdeen, Z.A. Abdrakhmanova, S. Ghaffar, S.A. Rahim, H.F.A. Abu-Rmeileh, N.M. Garba, J.A. Acosta-Cazares, B. Adams, R.J. Aekplakorn, W. Afsana, K. Afzal, S. Agdeppa, I.A. Aghazadeh-Attari, J. Aguilar-Salinas, C.A. Agyemang, C. Ahmad, M.H. Ahmad, N.A. Ahmadi, A. Ahmadi, N. Ahmed, S.H. Ahrens, W. Aitmurzaeva, G. Ajlouni, K. Al-Hazzaa, H.M. Al-Lahou, B. Al-Raddadi, R. Alarouj, M. AlBuhairan, F. AlDhukair, S. Ali, M.M. Alkandari, A. Alkerwi, A. Allin, K. Alvarez-Pedrerol, M. Aly, E. Amarapurkar, D.N. Amiri, P. Amougou, N. Amouyel, P. Andersen, L.B. Anderssen, S.A. Ängquist, L. Anjana, R.M. Ansari-Moghaddam, A. Aounallah-Skhiri, H. Araújo, J. Ariansen, I. Aris, T. Arku, R.E. Arlappa, N. Aryal, K.K. Aspelund, T. Assah, F.K. Assunção, M.C.F. Aung, M.S. Auvinen, J. Mária Avdicová Avi, S. Azevedo, A. Azimi-Nezhad, M. Azizi, F. Azmin, M. Babu, B.V. Bæksgaard Jørgensen, M. Baharudin, A. Bahijri, S. Baker, J.L. Balakrishna, N. Bamoshmoosh, M. Banach, M. Bandosz, P. Banegas, J.R. Baran, J. Barbagallo, C.M. Barceló, A. Barkat, A. Barros, A.J.D. Barros, M.V.G. Basit, A. Bastos, J.L.D. Bata, I. Batieha, A.M. Batista, R.L. Battakova, Z. Batyrbek, A. Baur, L.A. Beaglehole, R. Bel-Serrat, S. Belavendra, A. Romdhane, H.B. Benedics, J. Benet, M. Bergh, I.H. Berkinbayev, S. Bernabe-Ortiz, A. Bernotiene, G. Bettiol, H. Bezerra, J. Bhagyalaxmi, A. Bharadwaj, S. Bhargava, S.K. Bhutta, Z.A. Bi, H. Bi, Y. Bia, D. Lele, E.C.B. Bikbov, M.M. Bista, B. Bjelica, D.J. Bjerregaard, P. Bjertness, E. Bjertness, M.B. Björkelund, C. Bloch, K.V. Blokstra, A. Bo, S. Bobak, M. Boddy, L.M. Boehm, B.O. Boeing, H. Boggia, J.G. Bogova, E. Boissonnet, C.P. Bojesen, S.E. Bonaccio, M. Bongard, V. Bonilla-Vargas, A. Bopp, M. Borghs, H. Braeckevelt, L. Braeckman, L. Bragt, M.C.E. Brajkovich, I. Branca, F. Breckenkamp, J. Breda, J. Brenner, H. Brewster, L.M. Brian, G.R. Brinduse, L. Brophy, S. Bruno, G. Bueno-de-Mesquita, H.B. Bugge, A. Buoncristiano, M. Burazeri, G. Burns, C. de León, A.C. Cacciottolo, J. Cai, H. Cama, T. Cameron, C. Camolas, J. Can, G. Candido, A.P.C. Cañete, F. Capanzana, M.V. Capková, N. Capuano, E. Capuano, V. Cardol, M. Cardoso, V.C. Carlsson, A.C. Carmuega, E. Carvalho, J. Casajús, J.A. Casanueva, F.F. Celikcan, E. Censi, L. Cervantes-Loaiza, M. Cesar, J.A. Chamukuttan, S. Chan, A.W. Chan, Q. Chaturvedi, H.K. Chaturvedi, N. Rahim, N.C.A. Chee, M.L. Chen, C.-J. Chen, F. Chen, H. Chen, S. Chen, Z. Cheng, C.-Y. Cheraghian, B. Chetrit, A. Chikova-Iscener, E. Chiolero, A. Chiou, S.-T. Chirlaque, M.-D. Cho, B. Christensen, K. Christofaro, D.G. Chudek, J. Cifkova, R. Cilia, M. Cinteza, E. Claessens, F. Clarke, J. Clays, E. Cohen, E. Concin, H. Confortin, S.C. Cooper, C. Coppinger, T.C. Corpeleijn, E. Costanzo, S. Cottel, D. Cowell, C. Craig, C.L. Crampin, A.C. Crujeiras, A.B. Csilla, S. Cucu, A.M. Cui, L. Cureau, F.V. Czenczek-Lewandowska, E. D’Arrigo, G. d’Orsi, E. Dacica, L. Dal Re Saavedra, M.A. Dallongeville, J. Damsgaard, C.T. Dankner, R. Dantoft, T.M. Dasgupta, P. Dastgiri, S. Dauchet, L. Davletov, K. De Backer, G. De Bacquer, D. de Gaetano, G. De Henauw, S. de Oliveira, P.D. De Ridder, D. De Ridder, K. de Rooij, S.R. De Smedt, D. Deepa, M. Deev, A.D. DeGennaro, V., Jr Dehghan, A. Delisle, H. Delpeuch, F. Demarest, S. Dennison, E. Dereń, K. Deschamps, V. Dhimal, M. Di Castelnuovo, A.F. Dias-da-Costa, J.S. Díaz-Sánchez, M.E. Diaz, A. Dika, Z. Djalalinia, S. Djordjic, V. Do, H.T.P. Dobson, A.J. Donati, M.B. Donfrancesco, C. Donoso, S.P. Döring, A. Dorobantu, M. Dorosty, A.R. Doua, K. Dragano, N. Drygas, W. Duan, J.L. Duante, C.A. Duboz, P. Duda, R.B. Duleva, V. Dulskiene, V. Dumith, S.C. Dushpanova, A. Dzerve, V. Dziankowska-Zaborszczyk, E. Eddie, R. Eftekhar, E. Egbagbe, E.E. Eggertsen, R. Eghtesad, S. Eiben, G. Ekelund, U. El-Khateeb, M. Ati, J.E. Eldemire-Shearer, D. Eliasen, M. Elliott, P. Engle-Stone, R. Enguerran, M. Erasmus, R.T. Erbel, R. Erem, C. Eriksen, L. Eriksson, J.G. Escobedo-de la Peña, J. Eslami, S. Esmaeili, A. Evans, A. Faeh, D. Fakhretdinova, A.A. Fall, C.H. Faramarzi, E. Farjam, M. Sant’Angelo, V.F. Farzadfar, F. Fattahi, M.R. Fawwad, A. Felix-Redondo, F.J. Ferguson, T.S. Fernandes, R.A. Fernández-Bergés, D. Ferrante, D. Ferrao, T. Ferrari, M. Ferrario, M.M. Ferreccio, C. Ferrer, E. Ferrieres, J. Figueiró, T.H. Fijalkowska, A. Fink, G. Fischer, K. Foo, L.H. Forsner, M. Fouad, H.M. Francis, D.K. Maria do Carmo Franco Frikke-Schmidt, R. Frontera, G. Fuchs, F.D. Fuchs, S.C. Fujiati, I.I. Fujita, Y. Fumihiko, M. Furusawa, T. Gaciong, Z. Gafencu, M. Galbarczyk, A. Galenkamp, H. Galeone, D. Galfo, M. Galvano, F. Gao, J. Garcia-de-la-Hera, M. García-Solano, M. Gareta, D. Garnett, S.P. Gaspoz, J.-M. Gasull, M. Gaya, A.C.A. Gaya, A.R. Gazzinelli, A. Gehring, U. Geiger, H. Geleijnse, J.M. Ghanbari, A. Ghasemi, E. Gheorghe-Fronea, O.-F. Giampaoli, S. Gianfagna, F. Gill, T.K. Giovannelli, J. Gironella, G. Giwercman, A. Gkiouras, K. Godos, J. Gogen, S. Goldberg, M. Goldsmith, R.A. Goltzman, D. Gómez, S.F. Gomula, A. da Silva, B.G.C. Gonçalves, H. Gonzalez-Chica, D.A. Gonzalez-Gross, M. González-Leon, M. González-Rivas, J.P. González-Villalpando, C. González-Villalpando, M.-E. Gonzalez, A.R. Gottrand, F. Graça, A.P. Graff-Iversen, S. Grafnetter, D. Grajda, A. Grammatikopoulou, M.G. Gregor, R.D. Grodzicki, T. Grøholt, E.K. Grøntved, A. Grosso, G. Gruden, G. Gu, D. Gualdi-Russo, E. Guallar-Castillón, P. Gualtieri, A. Gudmundsson, E.F. Gudnason, V. Guerrero, R. Guessous, I. Guimaraes, A.L. Gulliford, M.C. Gunnlaugsdottir, J. Gunter, M.J. Guo, X.-H. Guo, Y. Gupta, P.C. Gupta, R. Gureje, O. Gurzkowska, B. Gutiérrez-González, E. Gutierrez, L. Gutzwiller, F. Ha, S. Hadaegh, F. Hadjigeorgiou, C.A. Haghshenas, R. Hakimi, H. Halkjær, J. Hambleton, I.R. Hamzeh, B. Hange, D. Hanif, A.A.M. Hantunen, S. Hao, J. Kumar, R.H. Hashemi-Shahri, S.M. Hassapidou, M. Hata, J. Haugsgjerd, T. He, J. He, Y. He, Y. Heidinger-Felso, R. Heinen, M. Hejgaard, T. Hendriks, M.E. dos Santos Henrique, R. Henriques, A. Cadena, L.H. Herrala, S. Herrera, V.M. Herter-Aeberli, I. Heshmat, R. Hill, A.G. Ho, S.Y. Ho, S.C. Hobbs, M. Holdsworth, M. Homayounfar, R. Homs, C. Hopman, W.M. Horimoto, A.R.V.R. Hormiga, C.M. Horta, B.L. Houti, L. Howitt, C. Htay, T.T. Htet, A.S. Htike, M.M.T. Hu, Y. Huerta, J.M. Huhtaniemi, I.T. Huiart, L. Petrescu, C.H. Huisman, M. Husseini, A. Huu, C.N. Huybrechts, I. Hwalla, N. Hyska, J. Iacoviello, L. Ibarluzea, J.M. Ibrahim, M.M. Wong, N.I. Ikram, M.A. Iotova, V. Irazola, V.E. Ishida, T. Islam, M. Islam, S.M.S. Iwasaki, M. Jacobs, J.M. Jaddou, H.Y. Jafar, T. James, K. Jamil, K.M. Jamrozik, K. Janszky, I. Janus, E. Jarani, J. Jarvelin, M.-R. Jasienska, G. Jelakovic, A. Jelakovic, B. Jennings, G. Jha, A.K. Jiang, C.Q. Jimenez, R.O. Jöckel, K.-H. Joffres, M. Johansson, M. Jokelainen, J.J. Jonas, J.B. Jonnagaddala, J. Jørgensen, T. Joshi, P. Joukar, F. Jovic, D.P. Jóźwiak, J.J. Juolevi, A. Jurak, G. Simina, I.J. Juresa, V. Kaaks, R. Kaducu, F.O. Kafatos, A. Kajantie, E.O. Kalmatayeva, Z. Kalter-Leibovici, O. Kameli, Y. Kampmann, F.B. Kanala, K.R. Kannan, S. Kapantais, E. Karakosta, A. Kårhus, L.L. Karki, K.B. Katibeh, M. Katz, J. Katzmarzyk, P.T. Kauhanen, J. Kaur, P. Kavousi, M. Kazakbaeva, G.M. Keil, U. Boker, L.K. Keinänen-Kiukaanniemi, S. Kelishadi, R. Kelleher, C. Kemper, H.C.G. Kengne, A.P. Keramati, M. Kerimkulova, A. Kersting, M. Key, T. Khader, Y.S. Khalili, D. Khaw, K.-T. Kheiri, B. Kheradmand, M. Khosravi, A. Khouw, I.M.S.L. Kiechl-Kohlendorfer, U. Kiechl, S. Killewo, J. Kim, D.W. Kim, H.C. Kim, J. Kindblom, J.M. Klakk, H. Klimek, M. Klimont, J. Klumbiene, J. Knoflach, M. Koirala, B. Kolle, E. Kolsteren, P. König, J. Korpelainen, R. Korrovits, P. Korzycka, M. Kos, J. Koskinen, S. Kouda, K. Kovacs, V.A. Kowlessur, S. Koziel, S. Kratenova, J. Kratzer, W. Kriemler, S. Kristensen, P.L. Krokstad, S. Kromhout, D. Kruger, H.S. Kubinova, R. Kuciene, R. Kujala, U.M. Kujundzic, E. Kulaga, Z. Kumar, R.K. Kunešová, M. Kurjata, P. Kusuma, Y.S. Kuulasmaa, K. Kyobutungi, C. La, Q.N. Laamiri, F.Z. Laatikainen, T. Lachat, C. Laid, Y. Lam, T.H. Lambrinou, C.-P. Landais, E. Lanska, V. Lappas, G. Larijani, B. Latt, T.S. Lauria, L. Lazo-Porras, M. Le Coroller, G. Bao, K.L.N. Le Port, A. Le, T.D. Lee, J. Lee, J. Lee, P.H. Lehmann, N. Lehtimäki, T. Lemogoum, D. Levitt, N.S. Li, Y. Liivak, M. Lilly, C.L. Lim, W.-Y. Lima-Costa, M.F. Lin, H.-H. Lin, X. Lin, Y.-T. Lind, L. Linneberg, A. Lissner, L. Litwin, M. Liu, L. Lo, W.-C. Loit, H.-M. Long, K.Q. Lopes, L. Lopes, O. Lopez-Garcia, E. Lopez, T. Lotufo, P.A. Lozano, J.E. Lukrafka, J.L. Luksiene, D. Lundqvist, A. Lundqvist, R. Lunet, N. Lunogelo, C. Lustigová, M. Łuszczki, E. Ma, G. Ma, J. Ma, X. Machado-Coelho, G.L.L. Machado-Rodrigues, A.M. Macieira, L.M. Madar, A.A. Maggi, S. Magliano, D.J. Magnacca, S. Magriplis, E. Mahasampath, G. Maire, B. Majer, M. Makdisse, M. Mäki, P. Malekzadeh, F. Malekzadeh, R. Malhotra, R. Rao, K.M. Malyutina, S.K. Maniego, L.V. Manios, Y. Mann, J.I. Mansour-Ghanaei, F. Manzato, E. Margozzini, P. Markaki, A. Markey, O. Ioannidou, E.M. Marques-Vidal, P. Marques, L.P. Marrugat, J. Martin-Prevel, Y. Martin, R. Martorell, R. Martos, E. Maruszczak, K. Marventano, S. Mascarenhas, L.P. Masoodi, S.R. Mathiesen, E.B. Mathur, P. Matijasevich, A. Matsha, T.E. Mavrogianni, C. Mazur, A. Mbanya, J.C.N. McFarlane, S.R. McGarvey, S.T. McKee, M. McLachlan, S. McLean, R.M. McLean, S.B. McNulty, B.A. Benchekor, S.M. Medzioniene, J. Mehdipour, P. Mehlig, K. Mehrparvar, A.H. Meirhaeghe, A. Meisfjord, J. Meisinger, C. Menezes, A.M.B. Menon, G.R. Mensink, G.B.M. Menzano, M.T. Mereke, A. Meshram, I.I. Metspalu, A. Meyer, H.E. Mi, J. Michaelsen, K.F. Michels, N. Mikkel, K. Milkowska, K. Miller, J.C. Minderico, C.S. Mini, G.K. Miquel, J.F. Mirjalili, M.R. Mirkopoulou, D. Mirrakhimov, E. Mišigoj-Durakovic, M. Mistretta, A. Mocanu, V. Modesti, P.A. Moghaddam, S.S. Mohajer, B. Mohamed, M.K. Mohamed, S.F. Mohammad, K. Mohammadi, Z. Mohammadifard, N. Mohammadpourhodki, R. Mohan, V. Mohanna, S. Yusoff, M.F.M. Mohebbi, I. Mohebi, F. Moitry, M. Molbo, D. Møllehave, L.T. Møller, N.C. Molnár, D. Momenan, A. Mondo, C.K. Monroy-Valle, M. Monterrubio-Flores, E. Monyeki, K.D.K. Moon, J.S. Moosazadeh, M. Moreira, L.B. Morejon, A. Moreno, L.A. Morgan, K. Morin, S.N. Mortensen, E.L. Moschonis, G. Mossakowska, M. Mostafa, A. Mota-Pinto, A. Mota, J. Motlagh, M.E. Motta, J. Moura-dos-Santos, M.A. Mridha, M.K. Msyamboza, K.P. Mu, T.T. Muc, M. Mugoša, B. Muiesan, M.L. Mukhtorova, P. Müller-Nurasyid, M. Murphy, N. Mursu, J. Murtagh, E.M. Musa, K.I. Milanovic, S.M. Musil, V. Mustafa, N. Nabipour, I. Naderimagham, S. Nagel, G. Naidu, B.M. Najafi, F. Nakamura, H. Námešná, J. Nang, E.E.K. Nangia, V.B. Nankap, M. Narake, S. Nardone, P. Nauck, M. Neal, W.A. Nejatizadeh, A. Nekkantti, C. Nelis, K. Nelis, L. Nenko, I. Neovius, M. Nervi, F. Nguyen, C.T. Nguyen, N.D. Nguyen, Q.N. Nieto-Martínez, R.E. Nikitin, Y.P. Ning, G. Ninomiya, T. Nishtar, S. Noale, M. Noboa, O.A. Nogueira, H. Norat, T. Nordendahl, M. Nordestgaard, B.G. Noto, D. Nowak-Szczepanska, N. Al Nsour, M. Nuhoglu, I. Nurk, E. O’Neill, T.W. O’Reilly, D. Obreja, G. Ochimana, C. Ochoa-Avilés, A.M. Oda, E. Oh, K. Ohara, K. Ohlsson, C. Ohtsuka, R. Olafsson, O. Olinto, M.T.A. Oliveira, I.O. Omar, M.A. Onat, A. Ong, S.K. Ono, L.M. Ordunez, P. Ornelas, R. Ortiz, A.P. Ortiz, P.J. Osler, M. Osmond, C. Ostojic, S.M. Ostovar, A. Otero, J.A. Overvad, K. Owusu-Dabo, E. Paccaud, F.M. Padez, C. Pagkalos, I. Pahomova, E. de Paiva, K.M. Pajak, A. Palli, D. Palloni, A. Palmieri, L. Pan, W.-H. Panda-Jonas, S. Pandey, A. Panza, F. Papandreou, D. Park, S.-W. Park, S. Parnell, W.R. Parsaeian, M. Pascanu, I.M. Pasquet, P. Patel, N.D. Pecin, I. Pednekar, M.S. Peer, N. Pei, G. Peixoto, S.V. Peltonen, M. Pereira, A.C. Peres, M.A. Pérez-Farinós, N. Pérez, C.M. Peterkova, V. Peters, A. Petersmann, A. Petkeviciene, J. Petrauskiene, A. Pettenuzzo, E. Peykari, N. Pham, S.T. Pichardo, R.N. Pierannunzio, D. Pigeot, I. Pikhart, H. Pilav, A. Pilotto, L. Pistelli, F. Pitakaka, F. Piwonska, A. Pizarro, A.N. Plans-Rubió, P. Poh, B.K. Pohlabeln, H. Pop, R.M. Popovic, S.R. Porta, M. Posch, G. Poudyal, A. Poulimeneas, D. Pouraram, H. Pourfarzi, F. Pourshams, A. Poustchi, H. Pradeepa, R. Price, A.J. Price, J.F. Providencia, R. Puder, J.J. Pudule, I. Puhakka, S.E. Puiu, M. Punab, M. Qasrawi, R.F. Qorbani, M. Bao, T.Q. Radic, I. Radisauskas, R. Rahimikazerooni, S. Rahman, M. Rahman, M. Raitakari, O. Raj, M. Rakhimova, E. Rakhmatulloev, S. Rakovac, I. Rao, S.R. Ramachandran, A. Ramke, J. Ramos, E. Ramos, R. Rampal, L. Rampal, S. Rarra, V. Rascon-Pacheco, R.A. Rasmussen, M. Rech, C.R. Redon, J. Reganit, P.F.M. Regecová, V. Revilla, L. Rezaianzadeh, A. Ribas-Barba, L. Ribeiro, R. Riboli, E. Richter, A. Rigo, F. Rinaldo, N. de Wit, T.F.R. Rito, A. Ritti-Dias, R.M. Rivera, J.A. Robitaille, C. Roccaldo, R. Rodrigues, D. Rodríguez-Artalejo, F. del Cristo Rodriguez-Perez, M. Rodríguez-Villamizar, L.A. Roggenbuck, U. Rojas-Martinez, R. Rojroongwasinkul, N. Romaguera, D. Romeo, E.L. Rosario, R.V. Rosengren, A. Rouse, I. Roy, J.G.R. Rubinstein, A. Rühli, F.J. Ruidavets, J.-B. Ruiz-Betancourt, B.S. Ruiz-Castell, M. Moreno, E.R. Rusakova, I.A. Jonsson, K.R. Russo, P. Rust, P. Rutkowski, M. Sabanayagam, C. Sacchini, E. Sachdev, H.S. Sadjadi, A. Safarpour, A.R. Safiri, S. Saki, N. Salanave, B. Martinez, E.S. Salmerón, D. Salomaa, V. Salonen, J.T. Salvetti, M. Samoutian, M. Sánchez-Abanto, J. Sans, S. Marina, L.S. Santos, D.A. Santos, I.S. Santos, L.C. Santos, M.P. Santos, O. Santos, R. Sanz, S.S. Saramies, J.L. Sardinha, L.B. Sarrafzadegan, N. Sathish, T. Saum, K.-U. Savva, S. Savy, M. Sawada, N. Sbaraini, M. Scazufca, M. Schaan, B.D. Rosario, A.S. Schargrodsky, H. Schienkiewitz, A. Schipf, S. Schmidt, C.O. Schmidt, I.M. Schnohr, P. Schöttker, B. Schramm, S. Schramm, S. Schröder, H. Schultsz, C. Schutte, A.E. Sein, A.A. Selamat, R. Sember, V. Sen, A. Senbanjo, I.O. Sepanlou, S.G. Sequera, V. Serra-Majem, L. Servais, J. Ševcíková, L. Shalnova, S.A. Shamah-Levy, T. Shamshirgaran, M. Shanthirani, C.S. Sharafkhah, M. Sharma, S.K. Shaw, J.E. Shayanrad, A. Shayesteh, A.A. Shengelia, L. Shi, Z. Shibuya, K. Shimizu-Furusawa, H. Shin, D.W. Shirani, M. Shiri, R. Shrestha, N. Si-Ramlee, K. Siani, A. Siantar, R. Sibai, A.M. Silva, A.M. Silva, D.A.S. Simon, M. Simons, J. Simons, L.A. Sjöberg, A. Sjöström, M. Skodje, G. Slowikowska-Hilczer, J. Slusarczyk, P. Smeeth, L. So, H.-K. Soares, F.C. Sobek, G. Sobngwi, E. Sodemann, M. Söderberg, S. Soekatri, M.Y.E. Soemantri, A. Sofat, R. 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Zargar, A.H. Zaw, K.K. Zdrojewski, T. Zejglicova, K. Vrkic, T.Z. Zeng, Y. Zhang, L. Zhang, Z.-Y. Zhao, D. Zhao, M.-H. Zhao, W. Zhen, S. Zheng, W. Zheng, Y. Zholdin, B. Zhou, M. Zhu, D. Zins, M. Zitt, E. Zocalo, Y. Cisneros, J.Z. Zuziak, M. Ezzati, M. Filippi, S. NCD Risk Factor Collaboration (NCD-RisC)

Subjects
nutritional and metabolic diseases, sense organs, skin and connective tissue diseases
Abstract

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright.

Published
2021

9. 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

14. 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

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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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Univ Gdansk, Gdansk, Poland Univ Autonoma Madrid, Madrid, Spain Univ Palermo, Palermo, Italy Pan Amer Hlth Org, Washington, DC USA Mohammed V Univ Rabat, Rabat, Morocco Univ Pernambuco, Recife, PE, Brazil Dalhousie Univ, Calgary, AB, Canada Jordan Univ Technol, Amman, Jordan Univ Fed Maranhao, Sao Luis, Brazil Univ Auckland, Auckland, New Zealand Univ Tunis El Manar, El Manar, Tunisia Fed Minist Hlth & Womens Affairs, Vienna, Austria CAFAM Univ Fdn, Bogota, Colombia Imperial Coll London, London, England Lithuanian Univ Hlth Sci, Kaunas, Lithuania Univ Sao Paulo, Sao Paulo, Brazil BJ Med Coll, Pune, Maharashtra, India Chirayu Med Coll, Bhopal, India Sunder Lal Jain Hosp, Delhi, India Shandong Univ Tradit Chinese Med, Shanghai, Peoples R China Shanghai Jiao Tong Univ, Sch Med, Shanghai, Peoples R China Norwegian Inst Publ, Oslo, Norway Ufa Eye Res Inst, Moscow, Russia Univ Montenegro, Montenegro, Mexico Univ Southern Denmark, Lyngby, Denmark Univ Oslo, Oslo, Norway Univ Gothenburg, Gothenburg, Sweden Natl Inst Publ Hlth & Environm, Amsterdam, Netherlands Univ Turin, Turin, Italy UCL, London, England Liverpool John Moores Univ, Liverpool, Merseyside, England Nanyang Technol Univ, Singapore, Singapore German Inst Human Nutr, Hamburg, Germany Univ Republica, Montevideo, Uruguay CEMIC, La Plata, Buenos Aires, Argentina IRCCS Ist Neurol Mediterraneo Neuromed, Naples, Italy Toulouse Univ, Sch Med, Toulouse, France Univ Lausanne, Minist Hlth, Lausanne, Switzerland Flemish Agcy Care & Hlth, Brussels, Belgium Univ Ghent, Ghent, Belgium FrieslandCampina, Amersfoort, Netherlands Univ Cent Venezuela, Caracas, Venezuela Bielefeld Univ, Bielefeld, Germany WHO, Reg Off Europe, Copenhagen, Denmark German Canc Res Ctr, Heidelberg, Germany Fred Hollows Fdn New Zealand, Auckland, New Zealand Carol Davila Univ Med & Pharm, Bucharest, Romania Natl Inst Publ Hlth & Environm, Amersroot, Netherlands Univ Southern Denmark, Copenhagen, Denmark Inst Publ Hlth, Tirana, Albania Cork Inst Technol, Cork, Ireland Univ La Laguna, San Cristobal la Laguna, Spain Univ Malta, Msida, Malta Vanderbilt Univ, 221 Kirkland Hall, Nashville, TN 37235 USA Minist Hlth, Pangai, Tonga Canadian Fitness & Lifestyle Res Inst, Ottawa, ON, Canada Hosp Santa Maria, Lisbon, Portugal Istanbul Univ, Istanbul, Turkey Univ Fed Juiz de Fora, Juiz De Fora, Portugal Food & Nutr Res Inst, Manila, Philippines Santiago de Compostela Univ, Santiago De Compostela, Spain Assoc Calabrese Epatol, Perugia, Italy India Diabet Res Fdn, Delhi, India Duke NUS Med Sch, Singapore, Singapore Natl Inst Med Stat, New Delhi, India Acad Sinica, Taipei, Taiwan Capital Inst Pediat, Beijing, Peoples R China Duke Univ, Durham, NC 27706 USA Kailuan General Hospital, Tangshan, Peoples R China Univ Oxford, Oxford, England Duke NUS MEd Sch, Singapore, Singapore Gertner Inst Epidemiol & Hlth Policy Res, Tel Aviv, Israel Natl Ctr Publ Hlth & Anal, Sofia, Bulgaria Univ Bern, Bern, Switzerland Minist Hlth & Welfare, Taipei, Taiwan Murcia Reg Hlth Council, Murcia, Spain Seoul Natl Univ, Coll Med, Seoul, South Korea Korea Ctr Dis Control & Prevent, Seoul, South Korea Univ Estadual Paulista, Sao Paulo, Brazil Med Univ Silesia, Katowice, Poland Charles Univ Prague, Prague, Czech Republic Katholieke Univ Leuven, Leuven, Belgium Agcy Prevent & Social Med, Vienna, Austria Univ Fed Santa Catarina, Sao Carlos, SP, Brazil Univ Southampton, Southampton, Hants, England Inst Pasteur, Lille, France CIBEROBN, Barcelona, Spain Natl Inst Publ Hlth, Bucharest, Romania Natl Council Res, Rome, Italy Univ Fed Santa Catarin, Sao Carlos, SP, Brazil Eduardo Mondlane Univ, Maputo, Mozambique Univ Copenhagen, Copenhagen, Denmark Res Ctr Prevent & Hlth, Glostrup, Denmark Tabriz Hlth Serv Managemnet Ctr, Tabriz, Iran Lille Univ Hosp, Lille, France Sci Inst Publ Hlth, Brussels, Belgium Madaras Diabet Res Fdn, Chennai, India Natl Res Ctr Prevent Med, Moscow, Russia Erasmus MC, Rotterdam, Netherlands Univ Montreal, Montreal, PQ, Canada Inst 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, South Africa Geneva Univ Hosp, Geneva, Switzerland Australian Bur Stat, Canberra, ACT, Australia Agcy Prevent & Social Med, Innsbruck, Austria Wageningen Univ, Wageningen, Netherlands Noncommunicable Dis Res Ctr, Shiraz, Iran Univ Insubria, Varese, Italy Lund Univ, Lund, Sweden Minist Hlth, Ankara, Turkey Minist Hlth, Jerusalem, Israel McGill Univ, Montreal, PQ, Canada Andes Clin Cardiometab Studies, Timotes, Venezuela Univ Politecn Madrid, Madrid, Spain Univ Lille 2, Lille, France Minist Hlth, Lisbon, Portugal Inst Clin & Expt Med, Prague, Czech Republic Childrens Mem Hlth Inst, Warsaw, Poland Alexander Technol Educ Inst, Sindos, Greece Dalhousie Univ, Halifax, NS, Canada Jagiellonian Univ, Med Coll, Krakow, Poland Univ Southern Denmark, Odense, Denmark Azienda Osped Univ Policlin Vittorio Emanuele, Catania, Italy Univ Novi Sad, Novi Sad, Serbia Natl Ctr Cardiovasc Dis, Beijing, Peoples R China Univ Ferrara, Ferrara, Italy Singapore Eye Res Inst, Singapore, Singapore Iceland Heart Assoc, Kopavogur, Iceland Univ Icesi, Cali, Colombia Univ Estadual Montes Claros, Montes Claros, Brazil Kings Coll London, London, England Int Agcy Res Canc, Lyon, France Capital Med Univ, Beijing, Peoples R China Healis Sekhsaria Inst Publ Hlth, Navi Mumbai, India Eternal Heart Care Ctr Res Inst, Jaipur, Rajasthan, India Univ Ibadan, Ibadan, Nigeria Childrens Memorial Hlth Inst, Warsaw, Poland Inst Clin Effectiveness & Hlth Policy, Buenos Aires, DF, Argentina Res & Educ Inst Child Hlth, Nicosia, Cyprus Minist Hlth, Seri Begawan, Brunei Danish Canc Soc, Res Ctr, Copenhagen, Denmark Univ West Indies, Bridgetown, Barbados Alexander Technol Educ Inst Thessaloniki, Sindos, Greece Kyushu Univ, Fukuoka, Japan Tulane Univ, New Orleans, LA 70118 USA Univ Pecs, Pecs, Hungary Univ Coll Dublin, Dublin, Ireland Univ Amsterdam, Acad Med Ctr, Amsterdam, Netherlands Natl Inst Publ Hlth, Cuernavaca, Morelos, Mexico Oulu Univ Hosp, SF-90100 Oulu, Finland Univ Autonoma Bucaramanga, Bucaramanga, Colombia Swiss Fed Inst Technol, Zurich, Switzerland Chron Diseases Res Ctr, Tehran, Iran Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China Univ Western Australia, Perth, WA, Australia Kingston Gen Hosp, Kingston, ON, Canada Heart Inst, Sao Paulo, Brazil Fdn Oftalmol Santander, Floridablanca, Colombia Univ Oran 1, Oran, Algeria Minist Hlth, Naypyitaw, Myanmar Vrije Univ Amsterdam, Med Ctr, Amsterdam, Netherlands Vrije Univ Amsterdam, Amsterdam, Netherlands Amer Univ Beirut, Beirut, Lebanon IRCCS Ist Neurol Mediterraneo Neuromed, Pozzilli, Italy Cardiol Mercato S Severino, Mercato San Severino, Italy Cairo Univ, Giza, Egypt Natl Inst Hlth & Nutr, Tokyo, Japan UHC Zagreb, Zagreb, Croatia Niigata Univ, Niigata, Japan Hadassah Univ, Med Ctr, Jerusalem, Israel Jordan Univ Sci & Technol, Irbid, Jordan Norwegian Univ Sci & Technol, Trondheim, Norway Sports Univ Tirana, Tirana, Albania Univ Zagreb, Sch Med, Zagreb, Croatia Heart Fdn, 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, Algeria Minist Salud Publ, Havana, Cuba Sahlgrens Acad, Gothenburg, Sweden Endocrinol & Met Res Ctr, Arak, Iran Indicium Res, Manila, Philippines Food & Agr Org, Rome, Italy Natl Univ Singapore, Singapore, Singapore Tampere Univ Hosp, Tampere, Finland Univ Cape Town, Cape Town, South Africa West Virginia Univ, Morgantown, WV USA Fundacao Oswaldo Cruz, Rene Rachou Res Inst, Belo Horizonte, MG, Brazil Natl Taiwan Univ, Taipei, Taiwan Univ Chinese Acad Sci, Beijing, Peoples R China Uppsala Univ, Uppsala, Sweden Capital Med Univ, Beijing An Zhen Hosp, Beijing, Peoples R China Natl Inst Hlth Dev, Tallinn, Estonia Univ Med Greifswald, Greifswald, Germany Consejeria Sanidad Junta Castilla & Leon, Valladolid, Spain Univ Fed Ouro Pret, Ouro Preto, Brazil Jikei Univ, Sch Med, Tokyo, Japan CNR, Rome, Italy Baker Heart & Diabet Inst, Melbourne, Vic, Australia Agr Univ Athens, Athens, Greece Univ Putra Malaysia, Seri Kembangan, Malaysia Inst Rech Dev, Marseille, France Hosp Israelita Albert Einstein, Sao Paulo, Brazil Shiraz Univ Med Sci, Shiraz, Iran Inst Internal & Prevent Med, Novosibirsk, Russia Harokopio Univ, Kallithea, Greece Univ Otago, Dunedin, New Zealand Univ Padua, Padua, Italy Technol Educ Inst Crete, Iraklion, Greece Loughborough Univ Technol, Loughborough, Leics, England Univ Fed Santa Catarina, Florianopolis, SC, Brazil Lausanne Univ Hosp, Lausanne, Switzerland Inst Hosp Mard Invest Med, Barcelona, Spain Mary Immaculate Coll, Limerick, Ireland Emory Univ, Atlanta, GA 30322 USA Hungarian Soc Sports Med, Budapest, Hungary Sherikashmir Inst Med Sci, Srinagar, Jammu & Kashmir, India UiT Arctic Univ Norway, Tromso, Norway Cape Peninsula Univ Technol, Cape Town, South Africa Univ Rzeszow, Rzeszow, Poland Univ Yaounde I, Yaounde, Cameroon Brown Univ, Providence, RI 02912 USA Univ Edinburgh, Edinburgh, Midlothian, Scotland Stat Canada, Ottawa, ON, Canada Int Med Univ, Kuala Lumpur, Malaysia INSERM, Villejuif, France Helmholtz Zentrum Munchen, Oberschleissheim, Germany Robert Koch Inst, Berlin, Germany Lusofona Univ, Lisbon, Portugal Democritus Univ Greece, Komotini, Greece Grigore T Popa Univ Med & Pharm, Iasi, Romania Univ Firenze, Florence, Italy Hypertens Res Ctr, Esfahan, Iran Mulago Hosp, Kampala, Uganda Univ Limpopo, Polokwane, South Africa Seoul Natl Univ, Childrens Hosp, Seoul, South Korea Univ Fed Rio Grande do Sul, Porto Alegre, RS, Brazil Univ Med Sci, Havana, Cuba Univ Zaragoza, Zaragoza, Spain R CSI Dublin, Dublin, Ireland Int Inst Mol & Cell Biol, Warsaw, Poland Ain Shams University, Cairo, Egypt Ahvaz Jundishapur Univ Med Sci, Ahwaz, Iran Gorgas Memorial Inst Publ Hlth, Panama City, Panama Dept Publ Hlth, Nay Pyi Taw, Myanmar Univ Brescia, Brescia, Italy Helmholtz Zentrum Munchen, Neuherberg, Germany Univ Eastern Finland, Kuopio, Finland Mary Immaculate Coll, Tours, France Bushehr Univ Med Sci, Bushehr, Iran Ulm Univ, Ulm, Germany Inst Publ Hlth, Kuala Lumpur, Malaysia Kobe Univ, Kobe, Hyogo, Japan Banska Bystrica Reg Author Publ Hlth, Banska Bystrica, Slovakia Suraj Eye Inst, Nagpur, Maharashtra, India Helen Keller Int, Yaounde, Cameroon Karolinska Inst, Solna, Sweden Natl Inst Hyg & Epidemiol, Hanoi, Vietnam Univ Pharm & Med Ho Chi Minh City, Ho Chi Minh City, Vietnam Hanoi Med Univ, Hanoi, Vietnam Miami Vet Affairs Healthcare Syst, Miami, FL USA Heartfile, Islamabad, Pakistan Natl Canc Ctr, Tokyo, Japan Eastern Mediterranean Publ Hlth Network, Amman, Jordan State Univ Med & Pharm, Kishinev, Moldova Tachikawa Gen Hosp, Tachikawa, Tokyo, Japan Acad Hosp Paramaribo, Paramaribo, Surinam Univ Vale Rio dos Sinos, Sao Leopoldo, Brazil Natl Food & Nutr Inst, Warsaw, Poland Minist Hlth, Bandar Seri Begawan, Brunei Univ Fed Santa Catarin, Florianopolis, SC, Brazil Univ Madeira, Funchal, Portugal Univ Puerto Rico, San Juan, PR USA MRC Lifecourse Epidemiol Unit, Southampton, Hants, England Aarhus Univ, Aarhus, Denmark Kwame Nkrumah Univ Sci & Technol, Kumasi, Ghana Inst Social & Prevent, Lausanne, Switzerland Canc 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

16. Dietary beliefs in the Baltic republics.

Author

Pomerleau J, McKee M, Robertson A, Kadziauskiene K, Abaravicius A, Bartkeviciute R, Vaask S, Pudule I, Grinberga D, Pomerleau, J, McKee, M, Robertson, A, Kadziauskiene, K, Abaravicius, A, Bartkeviciute, R, Vaask, S, Pudule, I, and Grinberga, D

Published
2001
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17. Patterns of body weight in the Baltic Republics.

Author

Pomerleau J, Pudule I, Grinberga D, Kadziauskiene K, Abaravicius A, Bartkeviciute R, Vaask S, Robertson A, McKee M, Pomerleau, J, Pudule, I, Grinberga, D, Kadziauskiene, K, Abaravicius, A, Bartkeviciute, R, Vaask, S, Robertson, A, and McKee, M

Published
2000
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20. Educational variations in the consumption of foods containing fat in Finland and the Baltic countries.

Author

Petkeviciene J, Klumbiene J, Prättälä R, Paalanen L, Pudule I, Kasmel A, Petkeviciene, Janina, Klumbiene, Jurate, Prättälä, Ritva, Paalanen, Laura, Pudule, Iveta, and Kasmel, Anu

Abstract

Objective: To examine educational differences among people who consume foods containing fat in Finland and the Baltic countries.Design: Data were collected from cross-sectional postal Finbalt Health Monitor surveys that were carried out in 1998, 2000 and 2002.Setting: Estonia, Finland, Latvia and Lithuania.Subjects: For each survey, nationally representative random samples of adults aged 20-64 years were drawn from population registers (Estonia, n = 3656; Finland, n = 9354, Latvia, n = 6015; Lithuania, n = 5944).Results: Differences were revealed between the countries in the consumption of foods that contain fat. Finnish people consumed butter on bread, high-fat milk, meat and meat products, and vegetable oil for cooking less frequently than people in the Baltic countries. Cheese was most popular in Finland. Educational differences in fat-related food habits were examined by applying logistic regression analysis. A positive association was found between level of education and consumption of vegetable oil used in food preparation. Drinking high-fat milk was associated with low education in all countries. People with higher education tended to consume cheese more often. Educational patterns in the consumption of butter on bread and in the consumption of meat and meat products differed between countries.Conclusions: The consumption of foods containing fat was related to educational levels in all four countries. The diet of better-educated people was closer to recommendations for the consumption of saturated and unsaturated fats than the diet of people with lower level of education. The educational gradient was more consistent in Finland than in the Baltic countries. These existing educational differences in sources of fat consumed should be taken into account in the development of national cardiovascular disease prevention programmes. [ABSTRACT FROM AUTHOR]

Published
2007
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21. Determinants of daily smoking in Estonia, Latvia, Lithuania, and Finland in 1994-2002.

Author

Helasoja VV, Lahelma E, Prättälä RS, Patja KM, Klumbiene J, Pudule I, and Kasmel A

Abstract

AIMS: To investigate time trends in the smoking prevalence and the sociodemographic and psychosocial background of smoking in the Baltic countries in comparison with Finland during 1994-2002. METHODS: Differences in daily smoking according to age, education, urbanization, and psychological distress in the Baltic countries and Finland were studied using postal surveys in 1994, 1996, 1998, 2000, and 2002 among adults (20-64 years old) in Estonia (n = 6,271), Latvia (n = 6,106), Lithuania (n = 9,824), and Finland (n = 15,764). RESULTS: In 1994, 1996, 1998, 2000, and 2002 the prevalence of smoking in Estonia, Latvia, Lithuania, and Finland was 47%, 54%, 46%, and 29% among men, and 21%, 19%, 11%, and 19% among women, respectively. Smoking increased among Lithuanian women from 6% in 1994 to 13% in 2002, but decreased among Estonian men and women. Smoking was generally more common among younger individuals, the less educated, and people with distress in all four countries. The odds ratios for smoking for those with low education compared with those with high education were 2.18 (1.69-2.81), 3.32 (2.55-4.31), 2.20 (1.79-2.70) and 2.80 (2.40-3.27) in men, and 1.90 (1.42-2.52). 3.09 (2.28-4.18), 0.86 (0.59-1.26), and 3.00 (2.53-3.55) in women, in Estonia, Latvia, Lithuania, and Finland, respectively. There were indications of increasing educational differences in Latvian men. Smoking was less common among rural women in all countries except Estonia. CONCLUSIONS: Estonia, Latvia, and Finland show characteristics of the 'mature' phase of a smoking epidemic, and smoking may not increase in these countries. In Lithuanian women smoking may increase. Smoking may be increasingly unequally distributed in the future in all the studied countries. [ABSTRACT FROM AUTHOR]

Published
2006
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22. Food security in the Baltic Republics.

Author

Pomerleau J, McKee M, Robertson A, Vaask S, Pudule I, Grinberga D, Abaravicius A, Bartkeviciute R, Pomerleau, Joceline, McKee, Martin, Robertson, Aileen, Vaask, Sirje, Pudule, Iveta, Grinberga, Daiga, Abaravicius, Algis, and Bartkeviciute, Roma

Published
2002
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23. Alcohol consumption in the Baltic Republics.

Author

McKee, M, Pomerleau, J, Robertson, A, Pudule, I, Grinberga, D, Kadziauskiene, K, Abaravicius, A, and Vaask, S

Abstract

Premature mortality associated with alcohol intake is of particular concern in several countries of the former Soviet Union. This study explored self reported alcohol consumption (beer, wine, spirits) and its determinants in the Baltic Republics. Cross sectional surveys conducted in 1997. Estonia, Latvia and Lithuania. Representative samples of adults age 19-64 (Estonia n=2010; Latvia n=2258; Lithuania n=2139). Between country differences in the frequency of alcohol intake were estimated. The odds of consuming alcohol weekly according to socioeconomic characteristics (age, ethnicity, rural/urban area, education, income) were calculated using multiple logistic regression analyses, adjusting for all variables simultaneously. The proportion of respondents consuming alcohol weekly varied by country (p<0.001) (men: Estonia=61% Latvia=41% Lithuania=55%; women: Estonia=26% Latvia=8% Lithuania=14%). Within each country, this proportion decreased with age in both sexes (p<0. 001), and increased with income in women (p<0.01). In Estonia, the odds of drinking alcohol weekly was significantly lower in respondents of Russian than of Estonian ethnicity (odds ratios (OR) and 95% confidence intervals (95%CI): men=0.51 (0.36, 0.71); women=0. 57 (0.39, 0.81)). In Lithuania, the odds was higher in highly educated men than in those with a low education level (OR=1.48 (1.01, 2.17)). Daily alcohol intake was higher in Estonia than in the other countries, as was the percentage of respondents drinking heavily (equivalent to 80 g/day). Approximately half the men and one in six women in the Baltic States reported consuming alcohol at least weekly. Age and income were the strongest and most consistent correlates of the likelihood of consuming alcohol weekly. Ethnic differences were observed only in Estonia. [ABSTRACT FROM AUTHOR]

Published
2000
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24. Breakfast consumption and its socio-demographic and lifestyle correlates in schoolchildren in 41 counties participating in the HBSC study

Author

Vereecken, C., Dupuy, M., Rasmussen, M., Kelly, C., Nansel, T. R., Al Sabbah, H., Baldassari, D., Jordan, M. D., Maes, L., Ahluwalia, N., Mager, U., Smet, P., Alexandrova, A., Janssen, I., Krch, F., Maser, M., Ojala, K., Niclassen, B., Németh, Á., Giacchi, MARIANO VINCENZO, Dalmasso, P., Rossi, Stefania, Lazzeri, Giacomo, Pudule, I., Kololo, H., Craciun, C., Szentagotai, A., Baskova, M., Delgrande, M., Ercan, O., and Wang, J.

Subjects
Male, trends, medicine.medical_specialty, Pediatrics, Canada, Health (social science), Adolescent, Adolescents, Breakfast, School children, behaviors, Socio demographics, Social class, Article, Feeding behavior, children, Environmental health, medicine, Humans, adolescents, Israel, Child, habits, Life Style, Demography, Consumption (economics), business.industry, Life style, Public health, digestive, oral, and skin physiology, Public Health, Environmental and Occupational Health, food and beverages, breakfast, schoolchildren, weight, health, Feeding Behavior, Health Surveys, sample, United States, Europe, Lifestyle factors, Logistic Models, Social Class, Female, business
Abstract

Objective: To investigate associations of daily breakfast consumption (DBC) with demographic and lifestyle factors in 41 countries. Methods: Design: Survey including nationally representative samples of 11-15 year olds (n = 204,534) (HBSC 2005-2006). Statistics: Multilevel logistic regression analyses Results: DBC varied from 33% (Greek girls) to 75% (Portuguese boys). In most countries, lower DBC was noticed in girls, older adolescents, those with lower family affluence and those living in single-parent families. DBC was positively associated with healthy lifestyle behaviours; and negatively with unhealthy lifestyle behaviours. Conclusion: Breakfast skipping deserves attention in preventive programs. It is common among adolescents, especially girls, older adolescents and those from disadvantaged families. The results indicate that DBC can serve as an indicator to identify children at risk for unhealthy lifestyle behaviours.

25. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Author

Rodriguez-Martinez, Andrea, Zhou, Bin, Sophiea, Marisa K, Bentham, James, Paciorek, Christopher J, Iurilli, Maria LC, Carrillo-Larco, Rodrigo M, Bennett, James E, Di Cesare, Mariachiara, Taddei, Cristina, Bixby, Honor, Stevens, Gretchen A, Riley, Leanne M, Cowan, Melanie J, Savin, Stefan, Danaei, Goodarz, Chirita-Emandi, Adela, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Malekzadeh, Reza, Miranda, J Jaime, Moon, Jin Soo, Popovic, Stevo R, Sorensen, Thorkild IA, Soric, Maroje, Starc, Gregor, Zainuddin, Ahmad A, Gregg, Edward W, Bhutta, Zulfiqar A, Black, Robert, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiri, Parisa, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Angquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assuncao, Maria Cecilia F, Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Jorgensen, Maja Baeksgaard, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R, Baran, Joanna, Barbagallo, 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Mansour-Ghanaei F., Manzato E., Margozzini P., Markaki A., Markey O., Markidou Ioannidou E., Marques-Vidal P., Marques L.P., Marrugat J., Martin-Prevel Y., Martin R., Martorell R., Martos E., Marventano S., Mascarenhas L.P., Masoodi S.R., Mathiesen E.B., Mathur P., Matijasevich A., Matsha T.E., Mavrogianni C., Mazur A., Mbanya J.C.N., McFarlane S.R., McGarvey S.T., McKee M., McLachlan S., McLean R.M., McLean S.B., McNulty B.A., Mediene-Benchekor S., Medzioniene J., Mehdipour P., Mehlig K., Mehrparvar A.H., Meirhaeghe A., Meisfjord J., Meisinger C., Menezes A.M.B., Menon G.R., Mensink G.B., Menzano M.T., Mereke A., Meshram I.I., Metspalu A., Mi J., Michaelsen K.F., Michels N., Mikkel K., Milkowska K., Miller J.C., Minderico C.S., Mini G.K., Miquel J.F., Mirjalili M.R., Mirkopoulou D., Mirrakhimov E., Misigoj-Durakovic M., Mistretta A., Mocanu V., Modesti P.A., Moghaddam S.S., Mohajer B., Mohamed M.K., Mohamed S.F., Mohammad K., Mohammadi Z., Mohammadifard N., Mohammadpourhodki R., Mohan 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Nordestgaard B.G., Noto D., Nowak-Szczepanska N., Nsour M.A., Nuhoglu I., Nurk E., O'Neill T.W., O'Reilly D., Obreja G., Ochimana C., Ochoa-Aviles A.M., Oda E., Oh K., Ohara K., Ohlsson C., Ohtsuka R., Olafsson O., Olinto M.T.A., Oliveira I.O., Omar M.A., Onat A., Ong S.K., Ono L.M., Ordunez P., Ornelas R., Ortiz A.P., Ortiz P.J., Osler M., Osmond C., Ostojic S.M., Ostovar A., Otero J.A., Overvad K., Owusu-Dabo E., Paccaud F.M., Padez C., Pagkalos I., Pahomova E., Paiva K.M.D., Pajak A., Palli D., Palloni A., Palmieri L., Pan W.-H., Panda-Jonas S., Pandey A., Panza F., Papandreou D., Park S.-W., Park S., Parnell W.R., Parsaeian M., Pascanu I.M., Pasquet P., Patel N.D., Pednekar M.S., Peer N., Peixoto S.V., Peltonen M., Pereira A.C., Peres M.A., Perez-Farinos N., Perez C.M., Peterkova V., Peters A., Petersmann A., Petkeviciene J., Petrauskiene A., Pettenuzzo E., Peykari N., Pham S.T., Pichardo R.N., Pierannunzio D., Pigeot I., Pikhart H., Pilav A., Pilotto L., Pistelli F., Pitakaka F., Piwonska A., Pizarro A.N., Plans-Rubio P., Poh B.K., Pohlabeln H., Pop R.M., Porta M., Posch G., Poudyal A., Poulimeneas D., Pouraram H., Pourfarzi F., Pourshams A., Poustchi H., Pradeepa R., Price A.J., Price J.F., Providencia R., Puder J.J., Pudule I., Puhakka S.E., Puiu M., Punab M., Qasrawi R.F., Qorbani M., Quoc Bao T., Radic I., Radisauskas R., Rahimikazerooni S., Rahman M., Raitakari O., Raj M., Rakhimova E., Rakhmatulloev S., Rakovac I., Ramachandra Rao S., Ramachandran A., Ramke J., Ramos E., Ramos R., Rampal L., Rampal S., Rarra V., Rascon-Pacheco R.A., Rasmussen M., Rech C.R., Redon J., Reganit P.F.M., Regecova V., Revilla L., Rezaianzadeh A., Ribas-Barba L., Ribeiro R., Riboli E., Richter A., Rigo F., Rinaldo N., Rinke de Wit T.F., Rito A., Ritti-Dias R.M., Rivera J.A., Robitaille C., Roccaldo R., Rodrigues D., Rodriguez-Artalejo F., Rodriguez-Perez M.D.C., Rodriguez-Villamizar L.A., Roggenbuck U., Rojas-Martinez R., Rojroongwasinkul N., Romaguera D., Romeo E.L., Rosario 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Subjects
Male, body-mass index, ADULTHOOD, Adolescents, pituuskasvu, Pediatrics, Body Mass Index, 0302 clinical medicine, Child Development, nuoret, Public health surveillance, Medicine, Health Status Indicators, 10. No inequality, Child, 11 Medical and Health Sciences, Body mass index, ComputingMilieux_MISCELLANEOUS, education.field_of_study, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, General Medicine, Body mass indexes, kansainvälinen vertailu, 3. Good health, Geography, Health, 030220 oncology & carcinogenesis, Child, Preschool, Medical and Health sciences, purl.org/becyt/ford/3 [https], medicine.medical_specialty, School-aged adolescents, Socio-culturale, lapset (ikäryhmät), Nursing, territories, ravinto, purl.org/becyt/ford/3.3 [https], 03 medical and health sciences, School Children, SDG 3 - Good Health and Well-being, SYSTEMATIC ANALYSIS, Humans, school-aged children and adolescents, Montenegro, education, Science & Technology, Omvårdnad, Health sciences, Medical and Health sciences, Ciências médicas e da saúde, Bayes Theorem, Anthropometry, Adolescent Development, medicine.disease, TRENDS, Height and Body-mass Index, Faculdade de Ciências Sociais, UNDERNUTRITION, Height index trajectories, Height, body mass index, children , epidemiology, risk factors, growth, Stature, Demography, Settore MED/09 - Medicina Interna, Internationality, [SDV]Life Sciences [q-bio], 030204 cardiovascular system & hematology, Body-mass index trajectories, Epidemiology, Medicine and Health Sciences, risk factors, countries, EPIDEMIOLOGY, height, children, adolescents, BMI, 030212 general & internal medicine, painoindeksi, Child development, 2. Zero hunger, Medicine(all), School age child, obestity children cardiovascular, Population Health, 1. No poverty, Pediatrik, Public Health, Global Health, Social Medicine and Epidemiology, 3142 Public health care science, environmental and occupational health, Pooled analysis, NUTRITION, Female, medicine.symptom, pooled analysis, Life Sciences & Biomedicine, terveys, height, BMI, nutrition, health, children, adolescents, Adolescent, growth, Population, body-mass, Population based, Body-mass index, Young Adult, Medicine, General & Internal, Meta-Analysis as Topic, General & Internal Medicine, parasitic diseases, Weight gain, School-aged childrens, Age trajectories, business.industry, Height, Weight, Body Height, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, ONSET, Ciências da Saúde, Ciências médicas e da saúde, School-aged children, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, business, terveysriskit, Estilos de Vida e Impacto na Saúde
Abstract

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents., METHODS: For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence., FINDINGS: We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls., INTERPRETATION: The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks., Wellcome Trust, AstraZeneca Young Health Programme, EU., peer-reviewed

Published
2020

26. Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Author

Bixby, Honor, Bentham, James, Zhou, Bin, Di Cesare, Mariachiara, Paciorek, Christopher J., Bennett, James E., Taddei, Cristina, Stevens, Gretchen A., Rodriguez-Martinez, Andrea, Carrillo-Larco, Rodrigo M., Khang, Young-Ho, Soric, Maroje, Gregg, Edward W., Miranda, J. Jaime, Bhutta, Zulfiqar A., Savin, Stefan, Sophiea, Marisa K., Iurilli, Maria L. C., Solomon, Bethlehem D., Cowan, Melanie J., Riley, Leanne M., Danaei, Goodarz, Bovet, Pascal, Chirita-Emandi, Adela, Hambleton, Ian R., Hayes, Alison J., Ikeda, Nayu, Kengne, Andre P., Laxmaiah, Avula, Li, Yanping, McGarvey, Stephen T., Mostafa, Aya, Neovius, Martin, Starc, Gregor, Zainuddin, Ahmad A., Abarca-Gomez, Leandra, Abdeen, Ziad A., Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Hamid, Zargar Abdul, Garba, Jamila Abubakar, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Agdeppa, Imelda A., Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Naser, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, AlBuhairan, Fadia, AlDhukair, Shahla, Al-Hazzaa, Hazzaa M., Ali, Mohamed M., Ali, Osman, Alkerwi, Ala'a, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N., Amouyel, Philippe, Amuzu, Antoinette, Bo, Lars, Anderssen, Sigmund A., Angquist, Lars H., Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E., Arlappa, Nimmathota, Aryal, Krishna K., Aspelund, Thor, Assah, Felix K., Assuncao, Maria Cecilia F., Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V., Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L., Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Aluisio J. D., Barros, Mauro V. G., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A., Beaglehole, Robert, Bel-Serrat, Silvia, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bi, Hongsheng, Bi, Yufang, Biehl, Anna, Lele, Elysee Claude Bika, Bikbov, Mukharram, Bista, Bihungum, Bjelica, Dusko J., Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boggia, Jose G., Boissonnet, Carlos P., Bonaccio, Marialaura, Bongard, Vanina, Bopp, Matthias, Borchini, Rossana, Borghs, Herman, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, Joao, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Brinduse, Lacramioara, Bruno, Graziella, Bueno-de-Mesquita, H. Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de Leon, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gamze, Can, Gunay, Candido, Ana Paula C., Canete, Felicia, Capanzana, Mario V., Capuano, Eduardo, Capuano, Vincenzo, Cardoso, Viviane C., Carlsson, Axel C., Carmuega, Esteban, Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Celikcan, Ertugrul, Censi, Laura, Cesar, Juraci A., Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Rahim, Norsyamlina Che Abdul, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J., Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, Maria-Dolores, Cho, Belong, Cho, Yumi, Christensen, Kaare, Christofaro, Diego G., Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Concin, Hans, Confortin, Susana C., Cooper, Cyrus, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crampin, Amelia C., Crujeiras, Ana B., Cruz, Juan J., Cucu, Alexandra, Cui, Liufu, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dantoft, Thomas M., D'Arrigo, Graziella, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, Karin, de Rooij, Susanne R., De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Dennison, Elaine, Deschamps, Valerie, Dhana, Klodian, Dhimal, Meghnath, Di Castelnuovo, Augusto F., Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Do, Ha T. 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H, Zapata ME, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Zuñiga Cisneros J, Ezzati M, Yiallouros, Panayiotis K. [0000-0002-8339-9285], APH - Societal Participation & Health, APH - Aging & Later Life, Epidemiology and Data Science, Public and occupational health, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine

Subjects
Male, Rural Population, obesity, Obesity, body mass index, Settore MED/09 - Medicina Interna, Letter, Urban Population, Epidemiology, [SDV]Life Sciences [q-bio], humanos, body-mass index, adolescente, Geographic Mapping, Sex Factor, países desarrollados, Rural Health, purl.org/pe-repo/ocde/ford#3.03.09 [https], systematic analysis, Body Mass Index, países en desarrollo, 80 and over, risk factors, Age Factor, physical-activity, mediana edad, mapeo geográfico, Aged, 80 and over, anciano, purl.org/pe-repo/ocde/ford#3.02.18 [https], dieta, Age Factors, health, adulto, Middle Aged, Multidisciplinary Sciences, adulto joven, [SDV] Life Sciences [q-bio], estado nutricional, nutrition, Science & Technology - Other Topics, NUTRITION, Female, HEALTH, pooled analysis, Diet, Healthy, worldwide trends, Human, Developed Countrie, Adult, Adolescent, purl.org/pe-repo/ocde/ford#3.03.04 [https], FOOD SYSTEM, Socio-culturale, Nutritional Status, URBAN, Aged, Developed Countries, Developing Countries, Humans, Obesity, Sex Factors, Urban Health, Young Adult, POOLED ANALYSIS, Developing Countrie, MIDDLE-INCOME COUNTRIES, SYSTEMATIC ANALYSIS, Urban rural Obesity Body-Mass-Index, obesidad, Middle-income countries, food system, urban, weight, Healthy, Science & Technology, índice de masa corporal, Diet, PHYSICAL-ACTIVITY, WORLDWIDE TRENDS, Risk factors, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, WEIGHT
Abstract

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories., This study was funded by the Wellcome Trust. H.B. was supported by a Medical Research Council Doctoral Training Partnership Studentship, J.B. by a Royal Society Research Grant, and M.D.C. by an Academy of Medical Sciences Springboard Award. We thank L. Jaacks, B. Popkin, S. Sundberg and W. Willett for recommendations of relevant citations. The authors are responsible for the views expressed in this Letter and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.

Published
2019

27. 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

NCD Risk Factor Collaboration (NCD-RisC), Abarca-Gómez, L., Abdeen, Z.A., Hamid, Z.A., Abu-Rmeileh, N.M., Acosta-Cazares, B., Acuin, C., Adams, R.J., Aekplakorn, W., Afsana, K., Aguilar-Salinas, C.A., Agyemang, C., Ahmadvand, A., Ahrens, W., Ajlouni, K., Akhtaeva, N., Al-Hazzaa, H.M., Al-Othman, A.R., Al-Raddadi, R., Al Buhairan, F., Al Dhukair, S., Ali, M.M., Ali, O., Alkerwi, A., Alvarez-Pedrerol, M., Aly, E., Amarapurkar, D.N., Amouyel, P., Amuzu, A., Andersen, L.B., Anderssen, S.A., Andrade, D.S., Ängquist, L.H., Anjana, R.M., Aounallah-Skhiri, H., Araújo, J., Ariansen, I., Aris, T., Arlappa, N., Arveiler, D., Aryal, K.K., Aspelund, T., Assah, F.K., Assunção, MCF, Aung, M.S., Avdicová, M., Azevedo, A., Azizi, F., Babu, B.V., Bahijri, S., Baker, J.L., Balakrishna, N., Bamoshmoosh, M., Banach, M., Bandosz, P., Banegas, J.R., Barbagallo, C.M., Barceló, A., Barkat, A., Barros, A.J., Barros, M.V., Bata, I., Batieha, A.M., Batista, R.L., Batyrbek, A., Baur, L.A., Beaglehole, R., Romdhane, H.B., Benedics, J., Benet, M., Bennett, J.E., Bernabe-Ortiz, A., Bernotiene, G., Bettiol, H., Bhagyalaxmi, A., Bharadwaj, S., Bhargava, S.K., Bhatti, Z., Bhutta, Z.A., Bi, H., Bi, Y., Biehl, A., Bikbov, M., Bista, B., Bjelica, D.J., Bjerregaard, P., Bjertness, E., Bjertness, M.B., Björkelund, C., Blokstra, A., Bo, S., Bobak, M., Boddy, L.M., Boehm, B.O., Boeing, H., Boggia, J.G., Boissonnet, C.P., Bonaccio, M., Bongard, V., Bovet, P., Braeckevelt, L., Braeckman, L., Bragt, M.C., Brajkovich, I., Branca, F., Breckenkamp, J., Breda, J., Brenner, H., Brewster, L.M., Brian, G.R., Brinduse, L., Bruno, G., Bueno-de-Mesquita, HBA, Bugge, A., Buoncristiano, M., Burazeri, G., Burns, C., de León, A.C., Cacciottolo, J., Cai, H., Cama, T., Cameron, C., Camolas, J., Can, G., Cândido, APC, Capanzana, M., Capuano, V., Cardoso, V.C., Carlsson, A.C., Carvalho, M.J., Casanueva, F.F., Casas, J.P., Caserta, C.A., Chamukuttan, S., Chan, A.W., Chan, Q., Chaturvedi, H.K., 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, D.G., Chudek, J., Cifkova, R., Cinteza, E., Claessens, F., Clays, E., Concin, H., Confortin, S.C., Cooper, C., Cooper, R., Coppinger, T.C., Costanzo, S., Cottel, D., Cowell, C., Craig, C.L., Crujeiras, A.B., Cucu, A., D'Arrigo, G., d'Orsi, E., Dallongeville, J., Damasceno, A., Damsgaard, C.T., Danaei, G., Dankner, R., Dantoft, T.M., Dastgiri, S., Dauchet, L., Davletov, K., De Backer, G., De Bacquer, D., De Curtis, A., de Gaetano, G., De Henauw, S., de Oliveira, P.D., De Ridder, K., De Smedt, D., Deepa, M., Deev, A.D., Dehghan, A., Delisle, H., Delpeuch, F., Deschamps, V., Dhana, K., Di Castelnuovo, A.F., Dias-da-Costa, J.S., Diaz, A., Dika, Z., Djalalinia, S., Do, H.T., Dobson, A.J., Donati, M.B., Donfrancesco, C., Donoso, S.P., Döring, A., Dorobantu, M., Dorosty, A.R., Doua, K., Drygas, 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Abstract

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. 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). Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 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/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 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/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 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. 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. Wellcome Trust, AstraZeneca Young Health Programme.

Published
2017

28. Self-reported suicidal behaviours and associated factors in the general population of Latvia (2010-2018).

Author

Mieze K, Kivite-Urtane A, Grinberga D, Velika B, Pudule I, and Rancans E

Subjects
Adult, Humans, Latvia epidemiology, Self Report, Surveys and Questionnaires, Risk Factors, Suicidal Ideation, Suicide, Attempted
Abstract

Background: Latvia has the second highest suicide rate in the European Union - with a total population age-standardized suicide rate of 16.1 per 100,000 inhabitants., Aims: We aimed to assess the prevalence of different types of self-reported suicidal behaviours in Latvia and determine the associated sociodemographic and health-related factors., Methods: This study was based on secondary data obtained from the Health Behaviour Among Latvian Adult Population survey. A representative sample of the general population was used, aged 15 to 64 years in 2010, 2012, 2014; and 15 to 74 years in 2016 and 2018 ( n  = 16,084). Respondents were asked to report the occurrence of life weariness, death wishes, suicidal ideation, suicidal plans and suicide attempts during the previous year. We assessed socio-demographics and health-related factors associated with suicidality. We performed univariate analysis and constructed stepwise multivariate logistic regression models., Results: In 2010 to 2018, 15.6% of responders reported some type of suicidal behaviour (95% CI [15.1, 16.2]). Sociodemographic factors - including non-cohabitation status and Latvian nationality - were associated with mild (life-weariness and death wishes) and serious (suicidal ideation, plans to commit suicide, suicide attempts) types of behaviour. Older age was associated with mild suicidal behaviours, whereas lower educational levels were associated with serious suicidal behaviours. Diagnosed depression, self-reported depression, self-reported anxiety, stress, low mood, alcohol intake habits with heavy drinking episodes (less than monthly, monthly and weekly), perceived health as average or below average, disuse of primary health services were associated with mild and serious types of suicidal behaviour. Current smoking status and absenteeism were associated with mild suicidal behaviour types. Self-reported insomnia, having at least two somatic diagnoses, occasional smoking status, absenteeism with 11 or more days in the last year, receiving disability pension were associated with serious suicidal behaviour types. Musculoskeletal diseases exhibited preventive effects., Conclusions: Our findings indicate that certain groups of individuals might exhibit greater vulnerability to suicidality., Competing Interests: Conflict of interestThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Published
2023
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29. Encouraging greater empowerment for adolescents in consent procedures in social science research and policy projects.

Author

Samdal O, Budin-Ljøsne I, Haug E, Helland T, Kjostarova-Unkovska L, Bouillon C, Bröer C, Corell M, Cosma A, Currie D, Eriksson C, Felder-Puig R, Gaspar T, Hagquist C, Harbron J, Jåstad A, Kelly C, Knai C, Kleszczewska D, Kysnes BB, Lien N, Luszczynska A, Moerman G, Moreno-Maldonado C, NicGabhainn S, Pudule I, Rakic JG, Rito A, Rønnestad AM, Ulstein M, Rutter H, and Klepp KI

Subjects
Child, Adolescent, Humans, Policy, Parental Consent, Parents
Abstract

The United Nations Convention on the Rights of the Child emphasizes the importance of allowing children and adolescents to influence decisions that are important to them following their age and maturity. This paper explores the principles, practices, and implications around using parental versus child/adolescent consent when participating in social science research and policy development. Experiences from two studies are presented: The Confronting Obesity: Co-creating policy with youth (CO-CREATE) and the Health Behaviour in School-aged Children (HBSC) study, a World Health Organization (WHO) Collaborative Cross-National study. Although parental consent may be an important gatekeeper for protecting children and adolescents from potentially harmful research participation, it may also be considered an obstacle to the empowerment of children and adolescents in case they want to share their views and experiences directly. This paper argues that evaluation of possible harm should be left to ethics committees and that, if no harm related to the research participation processes is identified and the project has a clear perspective on collaborating with the target group, adolescents from the age of 12 years should be granted the legal capacity to give consent to participate in the research project. Collaboration with adolescents in the development of the research project is encouraged., (© 2023 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.)

Published
2023
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30. Trends in Adolescent Substance Use: Analysis of HBSC Data for Four Eastern European Countries, 1994-2018.

Author

Vaičiūnas T, Žemaitaitytė M, Lange S, Štelemėkas M, Oja L, Petkevičienė J, Kowalewska A, Pudule I, Piksööt J, and Šmigelskas K

Subjects
Child, Adolescent, Humans, Cross-Sectional Studies, Eastern European People, Alcohol Drinking epidemiology, Prevalence, Electronic Nicotine Delivery Systems, Substance-Related Disorders epidemiology, Adolescent Behavior
Abstract

The aim of the study was to analyze the trends of adolescent substance use in four eastern European countries over the time period from 1994 to 2018. The four countries in focus were selected based on their shared historical backgrounds and major economic and social transformations experienced., Methods: Two decades (1993/1994-2017/2018) of repeated cross-sectional data from the Estonian, Latvian, Lithuanian, and Polish Health Behaviour in School-aged Children survey were used. Data comprised 42,169 school children 15 years of age (9th grade). The following categories of substance use were included: regular alcohol consumption and drunkenness, tobacco smoking, electronic cigarette smoking, and cannabis use. Trends in substance use over time were tested using Jonckheere's trend test., Results: Prevalence of substance use among adolescents over time revealed that the Baltic states and Poland have faced relatively different temporal trends. In the Baltic states, there was a general increase during the period of 1994-2002, which was followed by a period of peaking or stability between 2002-2010, and then decreasing trends of these risky behaviors from 2010 onwards. In Poland, the same period had less consistent patterns, with decreasing trends starting much earlier on. The prevalence of cannabis use, which had been measured since 2006, had its own unique pattern with many fluctuations within and between countries., Conclusions: The findings on the prevalence of substance use among adolescents from 1994 to 2018 revealed that the Baltic states and Poland have faced relatively different temporal trends. These countries might be facing new public health challenges in a near future, e.g., use of electronic cigarettes and cannabis use among adolescents.

Published
2022
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31. Iron Status in Pregnant Women in Latvia: An Epidemiological, Cross-Sectional, Multicenter Study According to WHO and UK Criteria.

Author

Rezgale R, Pudule I, Cauce V, Klaramunta Antila K, Bule V, Lazdane G, Rezeberga D, and Meija L

Subjects
Cross-Sectional Studies, Female, Humans, Iron, Latvia epidemiology, Pregnancy, Pregnant Women, United Kingdom, World Health Organization, Anemia, Anemia, Iron-Deficiency epidemiology, Iron Deficiencies, Pregnancy Complications, Hematologic epidemiology
Abstract

Background and Objectives: During pregnancy, iron deficiency anaemia is a common problem associated with health risks for both the mother and her foetus/infant. This study aimed to investigate the prevalence of iron deficiency, iron deficiency anaemia, and related dietary patterns in pregnant women in Latvia. Materials and Methods: This cross-sectional, multicentre study included pregnancy data from 974 women. The sample selection was based on the stratification principle (population of women of childbearing age in regions of Latvia). Maternal demographic details, anthropometric measurements, iron status, dietary patterns, and supplementation information were obtained from maternal files and during interviews held in eight outpatient departments of medical institutions and maternity departments. The prevalence was assessed. Chi-square tests and logistic regression were used to identify associations between iron deficiency and sociodemographic characteristics, dietary patterns, and iron supplement intake during pregnancy. The criterion used for the diagnosis of iron deficiency anaemia is a Hb level <110 g/L in the 1st and 3rd trimesters and <105 g/L during the 2nd trimester as recommended by the WHO. However, the UK guideline was used for borderline iron deficiency, which is an SF level <30 μg/L in all trimesters. Results: The observed prevalence of anaemia was 2.8% in the first trimester, 7.9% in the second trimester, and 27.0% in the third trimester. The prevalence of iron deficiency was 46.7% in the first trimester, 78.1% in the second trimester, and 91.7% in the third trimester. No associations with dietary patterns were found. Single women had 1.85 times the odds (95% CI 1.07 to 3.18) of being anaemic than married women. Conclusions: Iron deficiency affects a large proportion of pregnant women in Latvia in all trimesters, with iron deficiency anaemia affecting pregnant women in the third trimester. Monitoring and intervention should be performed in a timely and more targeted manner.

Published
2022
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32. Assessment of Iodine and Selenium Nutritional Status in Women of Reproductive Age in Latvia.

Author

Veisa V, Kalere I, Zake T, Strele I, Makrecka-Kuka M, Upmale-Engela S, Skesters A, Rezeberga D, Lejnieks A, Pudule I, Grinberga D, Velika B, Dambrova M, and Konrade I

Subjects
Diet, Female, Humans, Latvia, Nutritional Status, Pregnancy, Sodium Chloride, Dietary, Iodine, Selenium
Abstract

Background and Objectives: Adequate dietary intake of iodine and selenium is essential during pregnancy. While iodine is vital for maternal thyroid function and fetal development, selenium contributes to the regulation of thyroid function and thyroid autoimmunity. This study aimed to assess the consumption of iodine- and selenium-containing products by women of reproductive age and the iodine and selenium nutritional status of pregnant women in Latvia. Materials and Methods: Population health survey (2010-2018) data were used to characterize dietary habits in women of reproductive age. Additionally, 129 pregnant women in the first trimester were recruited; they completed a questionnaire and were tested for thyroid function, urinary iodine concentration (UIC), and serum selenium and selenoprotein P levels. Results: The use of some dietary sources of iodine (e.g., milk and dairy products) and selenium (e.g., bread) has decreased in recent years. Less than 10% of respondents reported the use of iodized salt. The use of supplements has become more common (reported by almost 50% of respondents in 2018). Dietary habits were similar in pregnant women, but the use of supplements was even higher (almost 70%). Nevertheless, most supplements used in pregnancy had insufficient contents of iodine and selenium. Thyroid function was euthyreotic in all women, but 13.9% of participants had a thyroid peroxidase antibodies (TPO-ab) level above 60 IU/mL. The median UIC (IQR) was 147.2 (90.0-248.1) μg/gCr, and 52.8% of pregnant women had a UIC below 150 μg/gCr. The mean selenium (SD) level was 101.5 (35.6) μg/L; 30.1% of women had a selenium level below 80 μg/L. The median selenoprotein P level was 6.9 (3.1-9.0) mg/L. Conclusions: Iodine nutrition in Latvian population of pregnant women was near the lower limit of adequate and a third of the population had a selenium deficiency. Supplements were frequently used, but most did not contain the recommended amounts of iodine and selenium.

Published
2021
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33. Methodology and implementation of the WHO European Childhood Obesity Surveillance Initiative (COSI).

Author

Breda J, McColl K, Buoncristiano M, Williams J, Abdrakhmanova S, Abdurrahmonova Z, Ahrens W, Akhmedova D, Bakacs M, Boer JMA, Boymatova K, Brinduse LA, Cucu A, Duleva V, Endevelt R, Sant'Angelo VF, Fijałkowska A, Hadžiomeragić AF, García-Solano M, Grøholt EK, Gualtieri A, Hassapidou M, Hejgaard T, Hyska J, Kelleher CC, Kujundžić E, Mäki P, Markidou Ioannidou E, Melkumova M, Moyersoen I, Milanović SM, Nurk E, Ostojic SM, Peterkova V, Petrauskienė A, Pudule I, Rito AI, Russell Jonsson K, Rutter H, Salanave B, Seyidov N, Shengelia L, Silitrari N, Spinelli A, Spiroski I, Starc G, Stojisavljević D, Tanrygulyyeva M, Tichá Ľ, Usupova Z, Weghuber D, Yardim N, Zamrazilová H, Zbanatskyi V, Branca F, Weber M, and Rakovac I

Subjects
Child, Exercise, Humans, Overweight, Prevalence, Schools, World Health Organization, Pediatric Obesity epidemiology
Abstract

Establishment of the WHO European Childhood Obesity Surveillance Initiative (COSI) has resulted in a surveillance system which provides regular, reliable, timely, and accurate data on children's weight status-through standardized measurement of bodyweight and height-in the WHO European Region. Additional data on dietary intake, physical activity, sedentary behavior, family background, and school environments are collected in several countries. In total, 45 countries in the European Region have participated in COSI. The first five data collection rounds, between 2007 and 2021, yielded measured anthropometric data on over 1.3 million children. In COSI, data are collected according to a common protocol, using standardized instruments and procedures. The systematic collection and analysis of these data enables intercountry comparisons and reveals differences in the prevalence of childhood thinness, overweight, normal weight, and obesity between and within populations. Furthermore, it facilitates investigation of the relationship between overweight, obesity, and potential risk or protective factors and improves the understanding of the development of overweight and obesity in European primary-school children in order to support appropriate and effective policy responses., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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34. Socioeconomic differences in food habits among 6- to 9-year-old children from 23 countries-WHO European Childhood Obesity Surveillance Initiative (COSI 2015/2017).

Author

Fismen AS, Buoncristiano M, Williams J, Helleve A, Abdrakhmanova S, Bakacs M, Bergh IH, Boymatova K, Duleva V, Fijałkowska A, García-Solano M, Gualtieri A, Gutiérrez-González E, Hejgaard T, Huidumac-Petrescu C, Hyska J, Kelleher CC, Kierkegaard L, Kujundžić E, Kunešová M, Milanović SM, Nardone P, Nurk E, Ostojic SM, Ozcebe LH, Peterkova V, Petrauskiene A, Pudule I, Rakhmatulleoeva S, Rakovac I, Rito AI, Rutter H, Sacchini E, Stojisavljević D, Farrugia Sant'Angelo V, Shengelia L, Spinelli A, Spiroski I, Tanrygulyyeva M, Usupova Z, Weghuber D, and Breda J

Subjects
Child, Cross-Sectional Studies, Diet, Feeding Behavior, Humans, Parents, Socioeconomic Factors, Surveys and Questionnaires, World Health Organization, Pediatric Obesity epidemiology
Abstract

Background: Socioeconomic differences in children's food habits are a key public health concern. In order to inform policy makers, cross-country surveillance studies of dietary patterns across socioeconomic groups are required. The purpose of this study was to examine associations between socioeconomic status (SES) and children's food habits., Methods: The study was based on nationally representative data from children aged 6-9 years (n = 129,164) in 23 countries in the World Health Organization (WHO) European Region. Multivariate multilevel analyses were used to explore associations between children's food habits (consumption of fruit, vegetables, and sugar-containing soft drinks) and parental education, perceived family wealth and parental employment status., Results: Overall, the present study suggests that unhealthy food habits are associated with lower SES, particularly as assessed by parental education and family perceived wealth, but not parental employment status. We found cross-national and regional variation in associations between SES and food habits and differences in the extent to which the respective indicators of SES were related to children's diet., Conclusion: Socioeconomic differences in children's food habits exist in the majority of European and Asian countries examined in this study. The results are of relevance when addressing strategies, policy actions, and interventions targeting social inequalities in children's diets., (© 2021 The World Health Organization. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.)

Published
2021
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35. Waist circumference and waist-to-height ratio in 7-year-old children-WHO Childhood Obesity Surveillance Initiative.

Author

Taxová Braunerová R, Kunešová M, Heinen MM, Rutter H, Hassapidou M, Duleva V, Pudule I, Petrauskienė A, Sjöberg A, Lissner L, Spiroski I, Gutiérrez-González E, Kelleher CC, Bergh IH, Metelcová T, Vignerová J, Brabec M, Buoncristiano M, Williams J, Simmonds P, Zamrazilová H, Hainer V, Yngve A, Rakovac I, and Breda J

Subjects
Body Height, Body Mass Index, Child, Female, Humans, Male, Obesity, Abdominal epidemiology, Waist Circumference, Waist-Height Ratio, World Health Organization, Pediatric Obesity epidemiology
Abstract

Childhood obesity is a serious global health problem. Waist circumference (WC) and waist-to-height ratio (WHtR) reflect body fat distribution in children. The objectives of this study were to assess WC and WHtR in 7-year-old children and to determine body mass index (BMI), WC, and WHtR differences in children from 10 selected countries across Europe (Bulgaria, Czechia, Greece, Ireland, Latvia, Lithuania, North Macedonia, Norway, Spain, and Sweden) participating in the World Health Organization (WHO) Europe Childhood Obesity Surveillance Initiative (COSI). The 50th and 90th percentile of WC (according to COSI and "Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS" (IDEFICS) cutoff values) and WHtR above 0.5 were used as measures of abdominal obesity in a unique sample of 38,975 children aged 7.00-7.99 years. Southern European countries, including Greece and Spain, showed significantly higher BMI, WC, and WHtRin both genders (p < 0.0001) than Eastern and Northern Europe. The highest values for WC were observed in Greece (60.8 ± 7.36 cm boys; 60.3 ± 7.48 cm girls), North Macedonia (60.4 ± 7.91 cm boys; 59.0 ± 8.01 cm girls), and Spain (59.7 ± 6.96 cm boys; 58.9 ± 6.77 cm girls). WC and WHtRin may add an information about the occurrence of central obesity in children., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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36. Socioeconomic inequalities in overweight and obesity among 6- to 9-year-old children in 24 countries from the World Health Organization European region.

Author

Buoncristiano M, Williams J, Simmonds P, Nurk E, Ahrens W, Nardone P, Rito AI, Rutter H, Bergh IH, Starc G, Jonsson KR, Spinelli A, Vandevijvere S, Mäki P, Milanović SM, Salanave B, Yardim MS, Hejgaard T, Fijałkowska A, Abdrakhmanova S, Abdurrahmonova Z, Duleva V, Farrugia Sant'Angelo V, García-Solano M, Gualtieri A, Gutiérrez-González E, Huidumac-Petrescu C, Hyska J, Kelleher CC, Kujundžić E, Peterkova V, Petrauskiene A, Pudule I, Sacchini E, Shengelia L, Tanrygulyyeva M, Taxová Braunerová R, Usupova Z, Maruszczak K, Ostojic SM, Spiroski I, Stojisavljević D, Wickramasinghe K, and Breda J

Subjects
Child, Cross-Sectional Studies, Humans, Prevalence, Social Class, Socioeconomic Factors, World Health Organization, Overweight epidemiology, Pediatric Obesity epidemiology
Abstract

Childhood overweight and obesity have significant short- and long-term negative impacts on children's health and well-being. These challenges are unequally distributed according to socioeconomic status (SES); however, previous studies have often lacked standardized and objectively measured data across national contexts to assess these differences. This study provides a cross-sectional picture of the association between SES and childhood overweight and obesity, based on data from 123,487 children aged 6-9 years in 24 countries in the World Health Organization (WHO) European region. Overall, associations were found between overweight/obesity and the three SES indicators used (parental education, parental employment status, and family-perceived wealth). Our results showed an inverse relationship between the prevalence of childhood overweight/obesity and parental education in high-income countries, whereas the opposite relationship was observed in most of the middle-income countries. The same applied to family-perceived wealth, although parental employment status appeared to be less associated with overweight and obesity or not associated at all. This paper highlights the need for close attention to context when designing interventions, as the association between SES and childhood overweight and obesity varies by country economic development. Population-based interventions have an important role to play, but policies that target specific SES groups are also needed to address inequalities., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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37. Mobilizing governments and society to combat obesity: Reflections on how data from the WHO European Childhood Obesity Surveillance Initiative are helping to drive policy progress.

Author

Breda J, Farrugia Sant'Angelo V, Duleva V, Galeone D, Heinen MM, Kelleher CC, Menzano MT, Musić Milanović S, Mitchell L, Pudule I, Rito AI, Shengelia L, Spinelli A, Spiroski I, Yardim N, Buoncristiano M, Williams J, Rakovac I, and McColl K

Subjects
Child, Government, Humans, Overweight, Policy, World Health Organization, Pediatric Obesity epidemiology, Pediatric Obesity prevention & control
Abstract

To meet the need for regular and reliable data on the prevalence of overweight and obesity among children in Europe, the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was established in 2007. The resulting robust surveillance system has improved understanding of the public health challenge of childhood overweight and obesity in the WHO European Region. For the past decade, data from COSI have helped to inform and drive policy action on nutrition and physical activity in the region. This paper describes illustrative examples of how COSI data have fed into national and international policy, but the real scope of COSI's impact is likely to be much broader. In some countries, there are signs that policy responses to COSI data have helped halt the rise in childhood obesity. As the countries of the WHO European Region commit to pursuing United Action for Better Health in Europe in WHO's new European Programme of Work, COSI provides an excellent example of such united action in practice. Further collaborative action will be key to tackling this major public health challenge which affects children throughout the region., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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38. Urban and rural differences in frequency of fruit, vegetable, and soft drink consumption among 6-9-year-old children from 19 countries from the WHO European region.

Author

Heinen MM, Bel-Serrat S, Kelleher CC, Buoncristiano M, Spinelli A, Nardone P, Milanović SM, Rito AI, Bosi ATB, Gutiérrrez-González E, Pudule I, Abdrakhmanova S, Abdurrahmonova Z, Brinduse LA, Cucu A, Duleva V, Fijałkowska A, Gualtieri A, Hejgaard T, Hyska J, Kujundžić E, Petrauskiene A, Sacchini E, Shengelia L, Tanrygulyyeva M, Usupova Z, Bergh IH, Weghuber D, Taxová Braunerová R, Kunešová M, Sant'Angelo VF, Nurk E, Ostojic SM, Spiroski I, Tichá Ľ, Rutter H, Williams J, Boymatova K, Rakovac I, Weber MW, and Breda J

Subjects
Carbonated Beverages, Child, Cross-Sectional Studies, Diet, Feeding Behavior, Fruit, Humans, Internationality, Surveys and Questionnaires, Vegetables, World Health Organization, Access to Healthy Foods, Pediatric Obesity epidemiology, Pediatric Obesity prevention & control
Abstract

In order to address the paucity of evidence on the association between childhood eating habits and urbanization, this cross-sectional study describes urban-rural differences in frequency of fruit, vegetable, and soft drink consumption in 123,100 children aged 6-9 years from 19 countries participating in the fourth round (2015-2017) of the WHO European Childhood Obesity Surveillance Initiative (COSI). Children's parents/caregivers completed food-frequency questionnaires. A multivariate multilevel logistic regression analysis was performed and revealed wide variability among countries and within macroregions for all indicators. The percentage of children attending rural schools ranged from 3% in Turkey to 70% in Turkmenistan. The prevalence of less healthy eating habits was high, with between 30-80% and 30-90% children not eating fruit or vegetables daily, respectively, and up to 45% consuming soft drinks on >3 days a week. For less than one third of the countries, children attending rural schools had higher odds (OR-range: 1.1-2.1) for not eating fruit or vegetables daily or consuming soft drinks >3 days a week compared to children attending urban schools. For the remainder of the countries no significant associations were observed. Both population-based interventions and policy strategies are necessary to improve access to healthy foods and increase healthy eating behaviors among children., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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39. Socioeconomic disparities in physical activity, sedentary behavior and sleep patterns among 6- to 9-year-old children from 24 countries in the WHO European region.

Author

Musić Milanović S, Buoncristiano M, Križan H, Rathmes G, Williams J, Hyska J, Duleva V, Zamrazilová H, Hejgaard T, Jørgensen MB, Salanave B, Shengelia L, Kelleher CC, Spinelli A, Nardone P, Abdrakhmanova S, Usupova Z, Pudule I, Petrauskiene A, Farrugia Sant'Angelo V, Kujundžić E, Fijałkowska A, Rito AI, Cucu A, Brinduse LA, Peterkova V, Gualtieri A, García-Solano M, Gutiérrez-González E, Boymatova K, Yardim MS, Tanrygulyyeva M, Melkumova M, Weghuber D, Nurk E, Mäki P, Bergh IH, Ostojic SM, Russell Jonsson K, Spiroski I, Rutter H, Ahrens W, Rakovac I, Whiting S, and Breda J

Subjects
Child, Child Behavior, Cross-Sectional Studies, Exercise, Humans, Sleep, Social Class, Socioeconomic Factors, World Health Organization, Pediatric Obesity epidemiology, Sedentary Behavior
Abstract

Physical activity, sedentary behavior, and sleep are important predictors of children's health. This paper aimed to investigate socioeconomic disparities in physical activity, sedentary behavior, and sleep across the WHO European region. This cross-sectional study used data on 124,700 children aged 6 to 9 years from 24 countries participating in the WHO European Childhood Obesity Surveillance Initiative between 2015 and 2017. Socioeconomic status (SES) was measured through parental education, parental employment status, and family perceived wealth. Overall, results showed different patterns in socioeconomic disparities in children's movement behaviors across countries. In general, high SES children were more likely to use motorized transportation. Low SES children were less likely to participate in sports clubs and more likely to have more than 2 h/day of screen time. Children with low parental education had a 2.24 [95% CI 1.94-2.58] times higher risk of practising sports for less than 2 h/week. In the pooled analysis, SES was not significantly related to active play. The relationship between SES and sleep varied by the SES indicator used. Importantly, results showed that low SES is not always associated with a higher prevalence of "less healthy" behaviors. There is a great diversity in SES patterns across countries which supports the need for country-specific, targeted public health interventions., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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40. Thinness, overweight, and obesity in 6- to 9-year-old children from 36 countries: The World Health Organization European Childhood Obesity Surveillance Initiative-COSI 2015-2017.

Author

Spinelli A, Buoncristiano M, Nardone P, Starc G, Hejgaard T, Júlíusson PB, Fismen AS, Weghuber D, Musić Milanović S, García-Solano M, Rutter H, Rakovac I, Cucu A, Brinduse LA, Rito AI, Kovacs VA, Heinen MM, Nurk E, Mäki P, Abdrakhmanova S, Rakhmatulleoeva S, Duleva V, Farrugia Sant'Angelo V, Fijałkowska A, Gualtieri A, Sacchini E, Hassapidou M, Hyska J, Kelleher CC, Kujundžić E, Kunešová M, Markidou Ioannidou E, Ostojic SM, Peterkova V, Petrauskienė A, Popović S, Pudule I, Russell Jonsson K, Dal-Re Saavedra MÁ, Salanave B, Shengelia L, Spiroski I, Tanrygulyyeva M, Tichá Ľ, Usupova Z, Ozcebe LH, Abildina A, Schindler K, Weber MW, Filipović Hadžiomeragić A, Melkumova M, Stojisavljević D, Boymatova K, Williams J, and Breda J

Subjects
Body Mass Index, Child, Female, Humans, Male, Overweight epidemiology, Prevalence, World Health Organization, Pediatric Obesity epidemiology, Thinness epidemiology
Abstract

In 2015-2017, the fourth round of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was conducted in 36 countries. National representative samples of children aged 6-9 (203,323) were measured by trained staff, with similar equipment and using a standardized protocol. This paper assesses the children's body weight status and compares the burden of childhood overweight, obesity, and thinness in Northern, Eastern, and Southern Europe and Central Asia. The results show great geographic variability in height, weight, and body mass index. On average, the children of Northern Europe were the tallest, those of Southern Europe the heaviest, and the children living in Central Asia the lightest and the shortest. Overall, 28.7% of boys and 26.5% of girls were overweight (including obesity) and 2.5% and 1.9%, respectively, were thin according to the WHO definitions. The prevalence of obesity varied from 1.8% of boys and 1.1% of girls in Tajikistan to 21.5% and 19.2%, respectively, in Cyprus, and tended to be higher for boys than for girls. Levels of thinness, stunting, and underweight were relatively low, except in Eastern Europe (for thinness) and in Central Asia. Despite the efforts to halt it, unhealthy weight status is still an important problem in the WHO European Region., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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41. Childhood overweight and obesity in Europe: Changes from 2007 to 2017.

Author

Buoncristiano M, Spinelli A, Williams J, Nardone P, Rito AI, García-Solano M, Grøholt EK, Gutiérrez-González E, Klepp KI, Starc G, Petrauskienė A, Kunešová M, Hassapidou M, Pérez-Farinós N, Pudule I, Kelleher CC, Duleva V, Rakovac I, Chatterjee S, and Breda J

Subjects
Body Mass Index, Child, Europe epidemiology, Female, Humans, Male, Overweight epidemiology, Prevalence, Schools, Pediatric Obesity epidemiology
Abstract

The Childhood Obesity Surveillance Initiative (COSI) routinely measures height and weight of primary school children aged 6-9 years and calculates overweight and obesity prevalence within the World Health Organization (WHO) European Region using a standard methodology. This study examines the trends in the prevalence of overweight and obesity from the first round of COSI carried out in 2007/2008 to the latest of 2015/2017 in 11 European countries in which data were collected for at least three rounds. In total 303,155 children were measured. In general, the prevalence of overweight and obesity among boys and girls decreased in countries with high prevalence (Southern Europe) and remained stable or slightly increased in Northern European and Eastern European countries included in the analysis. Among boys, the highest decrease in overweight (including obesity) was observed in Portugal (from 40.5% in 2007/2008 to 28.4 in 2015/2017) and in Greece for obesity (from 30.5% in 2009/2010 to 21.7% in 2015/2017). Lithuania recorded the strongest increase in the proportion of boys with overweight (from 24.8% to 28.5%) and obesity (from 9.4% to 12.2%). The trends were similar for boys and girls in most countries. Several countries in Europe have successfully implemented policies and interventions to counteract the increase of overweight and obesity, but there is still much to be done., (© 2021 World Obesity Federation. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)

Published
2021
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42. Parental Perceptions of Children's Weight Status in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative: COSI 2015/2017.

Author

Ramos Salas X, Buoncristiano M, Williams J, Kebbe M, Spinelli A, Nardone P, Rito A, Duleva V, Musić Milanović S, Kunesova M, Braunerová RT, Hejgaard T, Rasmussen M, Shengelia L, Abdrakhmanova S, Abildina A, Usuopva Z, Hyska J, Burazeri G, Petrauskiene A, Pudule I, Sant'Angelo VF, Kujundzic E, Fijałkowska A, Cucu A, Brinduse LA, Peterkova V, Bogova E, Gualtieri A, Solano MG, Gutiérrez-González E, Rakhmatullaeva S, Tanrygulyyeva M, Yardim N, Weghuber D, Mäki P, Russell Jonsson K, Starc G, Juliusson PB, Heinen MM, Kelleher C, Ostojic S, Popovic S, Kovacs VA, Akhmedova D, Farpour-Lambert NJ, Rutter H, Li B, Boymatova K, Rakovac I, Wickramasinghe K, and Breda J

Subjects
Body Mass Index, Body Weight, Child, Health Knowledge, Attitudes, Practice, Humans, Male, Overweight epidemiology, Parents, Surveys and Questionnaires, World Health Organization, Pediatric Obesity diagnosis, Pediatric Obesity epidemiology
Abstract

Introduction: Parents can act as important agents of change and support for healthy childhood growth and development. Studies have found that parents may not be able to accurately perceive their child's weight status. The purpose of this study was to measure parental perceptions of their child's weight status and to identify predictors of potential parental misperceptions., Methods: We used data from the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative and 22 countries. Parents were asked to identify their perceptions of their children's weight status as "underweight," "normal weight," "a little overweight," or "extremely overweight." We categorized children's (6-9 years; n = 124,296) body mass index (BMI) as BMI-for-age Z-scores based on the 2007 WHO-recommended growth references. For each country included in the analysis and pooled estimates (country level), we calculated the distribution of children according to the WHO weight status classification, distribution by parental perception of child's weight status, percentages of accurate, overestimating, or underestimating perceptions, misclassification levels, and predictors of parental misperceptions using a multilevel logistic regression analysis that included only children with overweight (including obesity). Statistical analyses were performed using Stata version 15 1., Results: Overall, 64.1% of parents categorized their child's weight status accurately relative to the WHO growth charts. However, parents were more likely to underestimate their child's weight if the child had overweight (82.3%) or obesity (93.8%). Parents were more likely to underestimate their child's weight if the child was male (adjusted OR [adjOR]: 1.41; 95% confidence intervals [CI]: 1.28-1.55); the parent had a lower educational level (adjOR: 1.41; 95% CI: 1.26-1.57); the father was asked rather than the mother (adjOR: 1.14; 95% CI: 0.98-1.33); and the family lived in a rural area (adjOR: 1.10; 95% CI: 0.99-1.24). Overall, parents' BMI was not strongly associated with the underestimation of children's weight status, but there was a stronger association in some countries., Discussion/conclusion: Our study supplements the current literature on factors that influence parental perceptions of their child's weight status. Public health interventions aimed at promoting healthy childhood growth and development should consider parents' knowledge and perceptions, as well as the sociocultural contexts in which children and families live., (© 2021 The Author(s). Published by S. Karger AG, Basel.)

Published
2021
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43. Physical Activity, Screen Time, and Sleep Duration of Children Aged 6-9 Years in 25 Countries: An Analysis within the WHO European Childhood Obesity Surveillance Initiative (COSI) 2015-2017.

Author

Whiting S, Buoncristiano M, Gelius P, Abu-Omar K, Pattison M, Hyska J, Duleva V, Musić Milanović S, Zamrazilová H, Hejgaard T, Rasmussen M, Nurk E, Shengelia L, Kelleher CC, Heinen MM, Spinelli A, Nardone P, Abildina A, Abdrakhmanova S, Aitmurzaeva G, Usuopva Z, Pudule I, Petrauskiene A, Sant'Angelo VF, Kujundzic E, Popovic S, Fismen AS, Bergh IH, Fijalkowska A, Rito AI, Cucu A, Brinduse LA, Peterkova V, Gualtieri A, García-Solano M, Gutiérrez-González E, Abdurrahmonova Z, Boymatova K, Yardim N, Tanrygulyyeva M, Weghuber D, Schindler K, Stojisavljević D, Filipović Hadžiomeragić A, Markidou Ionnaidu E, Ahrens W, Hassapidou M, Kovacs VA, Ostojic SM, Ticha L, Starc G, Russell Jonsson K, Spiroski I, Rutter H, Mendes R, Williams J, Rakovac I, and Breda J

Subjects
Child, Europe, Female, Humans, Leisure Activities, Male, Motor Activity, Parents, Schools, Screen Time, Sports, World Health Organization, Exercise, Pediatric Obesity epidemiology, Sleep
Abstract

Background: Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing., Objectives: This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6-9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI)., Method: The fourth COSI data collection round was conducted in 2015-2017, using a standardized protocol that included a family form completed by parents with specific questions about their children's PA, screen time, and sleep duration., Results: Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for >1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for <2 h/day, and 84.9% slept for 9-11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7-98.3% actively playing for >1 h/day, 8.2-85.6% were not members of a sport or dancing club, 17.7-94.0% walked or cycled to school each day, 32.3-80.0% engaged in screen time for <2 h/day, and 50.0-95.8% slept for 9-11 h/night., Conclusions: The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children., (© 2020 The Author(s) Published by S. Karger AG, Basel.)

Published
2021
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44. Insufficient sleep duration in association with self-reported pain and corresponding medicine use among adolescents: a cross-sectional population-based study in Latvia.

Author

Klavina-Makrecka S, Gobina I, Pulmanis T, Pudule I, and Villerusa A

Subjects
Adolescent, Child, Cross-Sectional Studies, Female, Humans, Latvia, Logistic Models, Male, Self Report, Surveys and Questionnaires, Abdominal Pain drug therapy, Adolescent Behavior psychology, Analgesics therapeutic use, Back Pain drug therapy, Headache drug therapy, Sleep Deprivation drug therapy, Sleep Deprivation physiopathology
Abstract

Objectives: Pain among adolescents is prevalent that may negatively affect adolescents' general well-being of which sleep is an important domain. This study aims to explore the associations between weekly pain and medicine use for relevant pain and insufficient sleep duration among 11-, 13- and 15-year-old adolescents in Latvia by assessing the moderation effect of gender and age., Methods: Data from the Health Behaviour in School-aged Children Study on 2017/2018 of Latvia (n = 4412; 49.6% boys) were used. Logistic regression was applied to analyse the odds of insufficient sleep (< 7 h) on schooldays and weekends in association with weekly headache, stomach ache or backache and corresponding medicine use when testing the interaction effect of adolescents' gender and age., Results: The experience of weekly pain with or without medicine use significantly increased the odds of insufficient sleep compared to adolescents with pain less than weekly, while controlling for gender and age. The interaction effect of gender and age on the studied associations was not significant., Conclusions: Weekly pain among adolescents is a significant risk factor for insufficient sleep duration, regardless of adolescents' gender and age.

Published
2020
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45. A Snapshot of European Children's Eating Habits: Results from the Fourth Round of the WHO European Childhood Obesity Surveillance Initiative (COSI).

Author

Williams J, Buoncristiano M, Nardone P, Rito AI, Spinelli A, Hejgaard T, Kierkegaard L, Nurk E, Kunešová M, Musić Milanović S, García-Solano M, Gutiérrez-González E, Brinduse LA, Cucu A, Fijałkowska A, Farrugia Sant'Angelo V, Abdrakhmanova S, Pudule I, Duleva V, Yardim N, Gualtieri A, Heinen M, Bel-Serrat S, Usupova Z, Peterkova V, Shengelia L, Hyska J, Tanrygulyyeva M, Petrauskiene A, Rakhmatullaeva S, Kujundzic E, Ostojic SM, Weghuber D, Melkumova M, Spiroski I, Starc G, Rutter H, Rathmes G, Bunge AC, Rakovac I, Boymatova K, Weber M, and Breda J

Subjects
Breakfast, Carbonated Beverages, Child, Cross-Sectional Studies, Europe epidemiology, Female, Fruit, Humans, Male, Snacks, Surveys and Questionnaires, Vegetables, Child Nutritional Physiological Phenomena physiology, Diet, Healthy, Eating physiology, Feeding Behavior physiology, Health Promotion, Malnutrition prevention & control, Noncommunicable Diseases prevention & control, Nutrition Surveys, Parents, Pediatric Obesity epidemiology, Pediatric Obesity prevention & control, World Health Organization
Abstract

Consuming a healthy diet in childhood helps to protect against malnutrition and noncommunicable diseases (NCDs). This cross-sectional study described the diets of 132,489 children aged six to nine years from 23 countries participating in round four (2015-2017) of the WHO European Childhood Obesity Surveillance Initiative (COSI). Children's parents or caregivers were asked to complete a questionnaire that contained indicators of energy-balance-related behaviors (including diet). For each country, we calculated the percentage of children who consumed breakfast, fruit, vegetables, sweet snacks or soft drinks "every day", "most days (four to six days per week)", "some days (one to three days per week)", or "never or less than once a week". We reported these results stratified by country, sex, and region. On a daily basis, most children (78.5%) consumed breakfast, fewer than half (42.5%) consumed fruit, fewer than a quarter (22.6%) consumed fresh vegetables, and around one in ten consumed sweet snacks or soft drinks (10.3% and 9.4%, respectively); however, there were large between-country differences. This paper highlights an urgent need to create healthier food and drink environments, reinforce health systems to promote healthy diets, and continue to support child nutrition and obesity surveillance.

Published
2020
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46. Preventable premature deaths (PYLL) in Northern Dimension partnership countries 2003-13.

Author

Vienonen MA, Jousilahti PJ, Mackiewicz K, Oganov RG, Pisaryk VM, Denissov GR, Nurm UK, Pudule I, Gurevicius RJ, Zabłocki BM, Friberg MI, Krasilnikov IA, Koistinen VO, and Vohlonen IJ

Subjects
Adult, Age Factors, Aged, Aged, 80 and over, Estonia epidemiology, Female, Finland epidemiology, Forecasting, Germany epidemiology, Humans, Latvia epidemiology, Lithuania epidemiology, Male, Middle Aged, Poland epidemiology, Republic of Belarus epidemiology, Sex Factors, Sweden epidemiology, Cause of Death trends, Life Expectancy trends, Mortality, Premature trends, Preventive Medicine statistics & numerical data
Abstract

Background: Objective was to measure preventable premature loss of life in countries from same geographical area but with considerable differences in social and economic development. By comparing inter-country differences and similarities in premature mortality, acceleration of health-in-all-policies is enhanced., Methods: Preventable premature deaths were described by Potential Years of Life Lost (PYLL). Data consisted of death registers for 2003, 2009 and 2013. PYLL-rates were age-standardized by using standard OECD population from 1980 and expressed as sum of lost life years per 100 000 citizens., Results: In Northern Dimension area, PYLL-rates had declined from 2003 to 2013. In 2013, worst PYLL-rate was in Belarus 9851 and best in Sweden 2511. PYLL-rates among men were twice as high as among women. Most premature losses (1023) were due to external causes. Malignant neoplasms came second (921) and vascular diseases third (816). Alcohol was also an important cause (270) and country differences were over 10-fold., Conclusions: In ND-area, the overall development of public health has been good during 2003-13. Nevertheless, for all countries foci for public health improvement and learning from each other could be identified. Examining the health of populations in countries from relatively similar geographical area with different social history and cultures can provide them with evidence-based tools for health-in-all-policies to advocate health promotion and disease prevention. Gender differences due to preventable premature deaths are striking. The higher the national PYLL-rate, the bigger the PYLL-rate difference between men and women and the loss of human capital., (© The Author(s) 2019. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

Published
2019
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47. Prevalence of Severe Obesity among Primary School Children in 21 European Countries.

Author

Spinelli A, Buoncristiano M, Kovacs VA, Yngve A, Spiroski I, Obreja G, Starc G, Pérez N, Rito AI, Kunešová M, Sant'Angelo VF, Meisfjord J, Bergh IH, Kelleher C, Yardim N, Pudule I, Petrauskiene A, Duleva V, Sjöberg A, Gualtieri A, Hassapidou M, Hyska J, Burazeri G, Petrescu CH, Heinen M, Takacs H, Zamrazilová H, Bosi TB, Sacchini E, Pagkalos I, Cucu A, Nardone P, Gately P, Williams J, and Breda J

Subjects
Adolescent, Child, Cross-Sectional Studies, Europe epidemiology, Female, Humans, Male, Overweight epidemiology, Prevalence, Students statistics & numerical data, World Health Organization, Obesity, Morbid epidemiology, Pediatric Obesity epidemiology, Schools statistics & numerical data
Abstract

Background: The World Health Organization (WHO) European Childhood Obesity Surveillance Initiative (COSI) was established more than 10 years ago to estimate prevalence and monitor changes in overweight and obesity in children aged 6-9 years. Since then, there have been five rounds of data collection in more than 40 countries involving more than half a million children. To date, no comparative studies with data on severe childhood obesity from European countries have been published., Objectives: The aim of this work was to present the prevalence of severe obesity in school-aged children from 21 countries participating in COSI., Method: The data are from cross-sectional studies in 21 European WHO member states that took part in the first three COSI rounds of data collection (2007/2008, 2009/2010, 2012/2013). School-aged children were measured using standardized instruments and methodology. Children were classified as severely obese using the definitions provided by WHO and the International Obesity Task Force (IOTF). Analyses overtime, by child's age and mother's educational level, were performed in a select group of countries., Results: A total of 636,933 children were included in the analysis (323,648 boys and 313,285 girls). The prevalence of severe obesity varied greatly among countries, with higher values in Southern Europe. According to the WHO definition, severe obesity ranged from 1.0% in Swedish and Moldovan children (95% CI 0.7-1.3 and 0.7-1.5, respectively) to 5.5% (95% CI 4.9-6.1) in Maltese children. The prevalence was generally higher among boys compared to girls. The IOTF cut-offs lead to lower estimates, but confirm the differences among countries, and were more similar for both boys and girls. In many countries 1 in 4 obese children were severely obese. Applying the estimates of prevalence based on the WHO definition to the whole population of children aged 6-9 years in each country, around 398,000 children would be expected to be severely obese in the 21 European countries. The trend between 2007 and 2013 and the analysis by child's age did not show a clear pattern. Severe obesity was more common among children whose mother's educational level was lower., Conclusions: Severe obesity is a serious public health issue which affects a large number of children in Europe. Because of the impact on educational, health, social care, and economic systems, obesity needs to be addressed via a range of approaches from early prevention of overweight and obesity to treatment of those who need it., (© 2019 The Author(s) Published by S. Karger AG, Basel.)

Published
2019
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48. Association between Characteristics at Birth, Breastfeeding and Obesity in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative - COSI 2015/2017.

Author

Rito AI, Buoncristiano M, Spinelli A, Salanave B, Kunešová M, Hejgaard T, García Solano M, Fijałkowska A, Sturua L, Hyska J, Kelleher C, Duleva V, Musić Milanović S, Farrugia Sant'Angelo V, Abdrakhmanova S, Kujundzic E, Peterkova V, Gualtieri A, Pudule I, Petrauskienė A, Tanrygulyyeva M, Sherali R, Huidumac-Petrescu C, Williams J, Ahrens W, and Breda J

Subjects
Child, Child, Preschool, Cross-Sectional Studies, Europe epidemiology, Female, Humans, Infant, Infant, Newborn, Male, Overweight epidemiology, Pediatric Obesity etiology, Population Surveillance, Prevalence, World Health Organization, Birth Weight physiology, Breast Feeding statistics & numerical data, Parturition physiology, Pediatric Obesity epidemiology
Abstract

Background: In Europe, although the prevalence of childhood obesity seems to be plateauing in some countries, progress on tackling this important public health issue remains slow and inconsistent. Breastfeeding has been described as a protective factor, and the more exclusively and the longer children are breastfed, the greater their protection from obesity. Birth weight has been shown to have a positive association with later risk for obesity., Objectives: It was the aim of this paper to investigate the association of early-life factors, namely breastfeeding, exclusive breastfeeding and birth weight, with obesity among children., Method: Data from 22 participating countries in the WHO European COSI study (round 4: 2015/2017) were collected using cross-sectional, nationally representative samples of 6- to 9-year-olds (n = 100,583). The children's standardized weight and height measurements followed a common WHO protocol. Information on the children's birth weight and breastfeeding practice and duration was collected through a family record form. A multivariate multilevel logistic regression analysis regarding breastfeeding practice (both general and exclusive) and characteristics at birth was performed., Results: The highest prevalence rates of obesity were observed in Spain (17.7%), Malta (17.2%) and Italy (16.8%). A wide between-country disparity in breastfeeding prevalence was found. Tajikistan had the highest percentage of children that were breastfed for ≥6 months (94.4%) and exclusively breastfed for ≥6 months (73.3%). In France, Ireland and Malta, only around 1 in 4 children was breastfed for ≥6 months. Italy and Malta showed the highest prevalence of obesity among children who have never been breastfed (21.2%), followed by Spain (21.0%). The pooled analysis showed that, compared to children who were breastfed for at least 6 months, the odds of being obese were higher among children never breastfed or breastfed for a shorter period, both in case of general (adjusted odds ratio [adjOR] [95% CI] 1.22 [1.16-1.28] and 1.12 [1.07-1.16], respectively) and exclusive breastfeeding (adjOR [95% CI] 1.25 [1.17-1.36] and 1.05 [0.99-1.12], respectively). Higher birth weight was associated with a higher risk of being overweight, which was reported in 11 out of the 22 countries. Bulgaria, Croatia, France, Italy, Poland and Romania showed that children who were preterm at birth had higher odds of being obese, compared to children who were full-term babies., Conclusion: The present work confirms the beneficial effect of breastfeeding against obesity, which was highly increased if children had never been breastfed or had been breastfed for a shorter period. Nevertheless, adoption of exclusive breastfeeding is below global recommendations and far from the target endorsed by the WHO Member States at the World Health Assembly Global Targets for Nutrition of increasing the prevalence of exclusive breastfeeding in the first 6 months up to at least 50% by 2025., (© 2019 The Author(s) Published by S. Karger AG, Basel.)

Published
2019
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49. The 12-month prevalence of depression and health care utilization in the general population of Latvia.

Author

Vrublevska J, Trapencieris M, Snikere S, Grinberga D, Velika B, Pudule I, and Rancans E

Subjects
Adolescent, Adult, Age Factors, Cross-Sectional Studies, Depression epidemiology, Disabled Persons, Female, Health Status, Humans, Latvia epidemiology, Logistic Models, Male, Middle Aged, Odds Ratio, Patient Acceptance of Health Care, Prevalence, Sampling Studies, Self Report, Sex Factors, Young Adult, Depressive Disorder epidemiology, Health Services statistics & numerical data
Abstract

Background: This cross-sectional study aims to assess the 12-month prevalence of major and minor depression in the Latvian population, and to evaluate associated health care utilization., Methods: Trained interviewers conducted face-to-face interviews with a multistage stratified probability sample of the Latvian general population, ages 15-64 (n=3003). Participants were interviewed using the depression module of the Mini International Neuropsychiatric Interview. Self-reported health care utilization and somatic illness were also assessed. Multinomial logistic regressions were applied., Results: The 12-month prevalence of major depression was 7.9% (95%CI 7.0-8.9), while for minor depression it was 7.7% (95%CI 6.8-8.7). We did not find a substantial difference in the relative risk ratio (RRR 1.7 for female) for having major depression by gender. RRR of having major depression was higher for those who had used healthcare services six or more times (RRR 2.0), those who had three or more somatic disorders during the past 12 months (RRR 2.3), those who perceived their health status as being below average (RRR 8.3), and those who were occasional smokers (RRR 3.0). RRR of having minor depression was increased for those who had at least three somatic disorders (RRR 2.3), those who received disability pension (RRR 1.9), and those who perceived their health status to be below average (RRR 3.0)., Limitations: The study was cross-sectional. Other psychiatric comorbidity was not assessed., Conclusions: This is the first population based study reporting the 12-month prevalence of depression in Latvia. Certain factors associated with depression have been found., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Published
2017
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50. Self-reported suicide attempts and exposure to different types of violence and neglect during childhood: Findings from a young adult population survey in Latvia.

Author

Springe L, Pulmanis T, Velika B, Pudule I, Grīnberga D, and Villeruša A

Subjects
Adolescent, Adult, Adult Survivors of Child Abuse statistics & numerical data, Cross-Sectional Studies, Female, Humans, Latvia epidemiology, Male, Prevalence, Risk Factors, Self Report, Surveys and Questionnaires, Young Adult, Adult Survivors of Child Abuse psychology, Exposure to Violence statistics & numerical data, Suicide, Attempted statistics & numerical data
Abstract

Aims: Suicide rates in Latvia are among the highest in the EU. Among 18-25 year-old young adults, it is the second leading cause of death. This study investigates the prevalence of self-reported suicide attempts in young adults and examines its association with neglect or violence of a physical, emotional or sexual nature., Methods: A questionnaire was administered to 1259 young adults 18-25 years of age, selected by targeted quota sampling from secondary and vocational schools., Results: The prevalence of self-reported suicide attempts was 6.1%. Physical and emotional adverse experiences showed clear associations with attempted suicide. Although prevalence of reported physical neglect was higher than for physical violence (27.0% versus 16.3%, respectively) the latter posed a higher risk for attempted suicide (OR = 4.0; 95% CI, 2.4-6.6). Conversely, emotional violence had a higher prevalence than emotional neglect (31.5% vs. 23.6%, respectively), but neglect showed a stronger association with attempted suicide (OR = 4.4; 95% CI, 2.6-7.3). CONCLUSIONS THE HIGH OR FOR ATTEMPTED SUICIDE ASSOCIATED WITH EMOTIONAL NEGLECT, TOGETHER WITH FINDINGS THAT EMOTIONAL VIOLENCE HAD THE HIGHEST PREVALENCE, AND THAT EMOTIONAL NEGLECT AND EMOTIONAL VIOLENCE SHOWED THE HIGHEST POPULATION ATTRIBUTABLE RISK FRACTION POPAR% OF 468 AND 404, RESPECTIVELY, SUGGESTED THAT EMOTIONAL FACTORS MERIT SPECIAL ATTENTION IN FURTHER INVESTIGATIONS OF ATTEMPTED SUICIDE AMONG YOUNG ADULTS IN LATVIA THE TARGETED QUOTA SAMPLING METHOD FROM FIVE CITIES REPRESENTING ALL REGIONS OF LATVIA AND 438% OF ITS POPULATION, ENSURE NATIONAL RELEVANCE OF OUR FINDINGS FOR POLICY AND PROGRAM DEVELOPMENT BY LEGISLATIVE, EDUCATIONAL AND PUBLIC HEALTH INSTITUTIONS., (© 2016 the Nordic Societies of Public Health.)

Published
2016
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