34 results on '"Kriaucioniene V"'
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2. The prevalence and trends of overweight and obesity among Lithuanian adults, 1994–2012
- Author
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Kriaucioniene, V., Petkeviciene, J., Klumbiene, J., Sakyte, E., and Raskiliene, A.
- Published
- 2014
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3. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants
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Zhou, B, Carrillo-Larco, Rm, Danaei, G, Riley, Lm, Paciorek, Cj, Stevens, Ga, Gregg, Ew, Bennett, Je, Solomon, B, Singleton, Rk, Sophiea, Mk, Iurilli, Mlc, Lhoste, Vpf, Cowan, Mj, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, Ap, Khang, Yh, Kim, Hc, Laxmaiah, A, Lin, Hh, Maira, Pm, Miranda, Jj, Neuhauser, H, Sundstrom, J, Varghese, C, Widyahening, Is, Zdrojewski, T, Ezzati, M, Abarca-Gomez, L, Abdeen, Za, Rahim, Hfa, Abu-Rmeileh, Nm, Acosta-Cazares, B, Adams, Rj, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, Ia, Aghazadeh-Attari, J, Aguilar-Salinas, Ca, Agyemang, C, Ahmad, Na, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, Sh, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, Albuhairan, F, Aldhukair, S, Ali, Mm, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, Dn, Amougou, N, Amouyel, P, Andersen, Lb, Anderssen, Sa, Anjana, Rm, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araujo, J, Ariansen, I, Aris, T, Arku, Re, Arlappa, N, Aryal, Kk, Aspelund, T, Assah, Fk, Assuncao, Mcf, Auvinen, J, Avdicova, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, Bv, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinovic, M, Bandosz, P, Banegas, Jr, Baran, J, Barbagallo, Cm, Barcelo, A, Barkat, A, Barreto, M, Barros, Ajd, Barros, Mvg, Bartosiewicz, A, Basit, A, Bastos, Jld, Bata, I, Batieha, Am, Batyrbek, A, Baur, La, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, Ls, Berkinbayev, S, Bernabe-Ortiz, A, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, Sk, Bia, D, Biasch, K, Lele, Ecb, Bikbov, Mm, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, Mb, Bjorkelund, C, Bloch, Kv, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, Jg, Boissonnet, Cp, Bojesen, Se, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, Cb, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, Lm, Briceno, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, Hb, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, de Leon, Ac, Cacciottolo, J, Cameron, C, Can, G, Candido, Apc, Capanzana, Mv, Capkova, N, Capuano, E, Capuano, V, Cardoso, Vc, Carlsson, Ac, Carvalho, J, Casanueva, Ff, Censi, L, Cervantes-Loaiza, M, Chadjigeorgiou, Ca, Chamukuttan, S, Chan, Aw, Chan, Q, Chaturvedi, Hk, Chaturvedi, N, Chee, Ml, Chen, Cj, Chen, Ff, Chen, Hs, Chen, Sh, Chen, Zm, Cheng, Cy, Cheraghian, B, Dekkaki, Ic, Chetrit, A, Chien, Kl, Chiolero, A, Chiou, St, Chirita-Emandi, A, Chirlaque, Md, Cho, B, Christensen, K, Christofaro, Dg, Chudek, J, Cinteza, E, Claessens, F, Clarke, J, Clays, E, Cohen, E, Concin, H, Cooper, C, Coppinger, Tc, Costanzo, S, Cottel, D, Cowell, C, Craig, Cl, Crampin, Ac, Crujeiras, Ab, Cruz, Jj, Csilla, S, Cui, Lf, Cureau, Fv, Cuschieri, S, D'Arrigo, G, D'Orsi, E, Dallongeville, J, Dankner, R, Dantoft, Tm, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, Pd, De Ridder, D, De Smedt, D, Deepa, 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Francis, Dk, Grego, Franco, Frikke-Schmidt, R, Frontera, G, Fuchs, Fd, Fuchs, Sc, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, Jl, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, Sp, Gaspoz, Jm, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, Jm, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, Of, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, Tk, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, Ra, Gomez, Lf, Gomula, A, da Silva, Bgc, Goncalves, H, Goncalves, M, Gonzalez-Chica, Da, Gonzalez-Gross, M, Gonzalez-Rivas, Jp, Gonzalez-Villalpando, C, Gonzalez-Villalpando, Me, Gonzalez, Ar, Gorbea, Mb, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, Mg, Gregor, Rd, Grodzicki, T, Grosso, G, Gruden, G, Df, Gu, Guan, Op, Gudmundsson, Ef, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, Al, Gulliford, Mc, Gunnlaugsdottir, J, Gunter, Mj, 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Joffres, M, Johansson, M, Jokelainen, Jj, Jonas, Jb, Jorgensen, T, Joshi, P, Joukar, F, Jozwiak, J, Juolevi, A, Jurak, G, Juresa, V, Kaaks, R, Kafatos, A, Kajantie, Eo, Kalmatayeva, Z, Kalpourtzi, N, Kalter-Leibovici, O, Kampmann, Fb, Kannan, S, Karaglani, E, Karhus, Ll, Karki, Kb, Katibeh, M, Katz, J, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, Gm, Keil, U, Boker, Lk, Keinanen-Kiukaanniemi, S, Kelishadi, R, Kemper, Hcg, Keramati, M, Kerimkulova, A, Kersting, M, Key, T, Khader, Ys, Khalili, D, Khaw, Kt, Kheiri, B, Kheradmand, M, Khosravi, A, Kiechl-Kohlendorfer, U, Kiechl, S, Killewo, J, Kim, Dw, Kim, J, Klakk, H, Klimek, M, Klumbiene, J, Knoflach, M, Kolle, E, Kolsteren, P, Kontto, Jp, Korpelainen, R, Korrovits, P, Kos, J, Koskinen, S, Kouda, K, Kowlessur, S, Koziel, S, Kratenova, J, Kriaucioniene, V, Kristensen, Pl, Krokstad, S, Kromhout, D, Kruger, Hs, Kubinova, R, Kuciene, R, Kujala, Um, Kulaga, Z, Kumar, Rk, Kurjata, P, Kusuma, Ys, Kutsenko, V, Kuulasmaa, K, Kyobutungi, C, 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Life, APH - Societal Participation & Health, Public and occupational health, APH - Health Behaviors & Chronic Diseases, VU University medical center, APH - Personalized Medicine, Psychiatry, APH - Mental Health, Bin Zhou, Rodrigo M Carrillo-Larco, Goodarz Danaei, Leanne M Riley, Christopher J Paciorek, Gretchen A Stevens, Edward W Gregg, James E Bennett, Bethlehem Solomon, Rosie K Singleton, Marisa K Sophiea, Maria Lc Iurilli, Victor Pf Lhoste, Melanie J Cowan, Stefan Savin, Mark Woodward, Yulia Balanova, Renata Cifkova, Albertino Damasceno, Paul Elliott, Farshad Farzadfar, Jiang He, Nayu Ikeda, Andre P Kengne, Young-Ho Khang, Hyeon Chang Kim, Avula Laxmaiah, Hsien-Ho Lin, Paula Margozzini Maira, J Jaime Miranda, Hannelore Neuhauser, Johan Sundström, Cherian Varghese, Indah S Widyahening, Tomasz Zdrojewski, Leandra Abarca-Gómez, Ziad A Abdeen, Hanan F Abdul Rahim, Niveen M Abu-Rmeileh, Benjamin Acosta-Cazares, Robert J Adams, Wichai Aekplakorn, Kaosar Afsana, Shoaib Afzal, Imelda A 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Huybrechts, Nahla Hwalla, Licia Iacoviello, Anna G Iannone, Mohsen M Ibrahim, Norazizah Ibrahim Wong, M Arfan Ikram, Violeta Iotova, Vilma E Irazola, Takafumi Ishida, Godsent C Isiguzo, Muhammad Islam, Sheikh Mohammed Shariful Islam, Masanori Iwasaki, Rod T Jackson, Jeremy M Jacobs, Hashem Y Jaddou, Tazeen Jafar, Kenneth James, Konrad Jamrozik, Imre Janszky, Edward Janus, Marjo-Riitta Jarvelin, Grazyna Jasienska, Ana Jelaković, Bojan Jelaković, Garry Jennings, Anjani Kumar Jha, Chao Qiang Jiang, Ramon O Jimenez, Karl-Heinz Jöckel, Michel Joffres, Mattias Johansson, Jari J Jokelainen, Jost B Jonas, Torben Jørgensen, Pradeep Joshi, Farahnaz Joukar, Jacek Jóżwiak, Anne Juolevi, Gregor Jurak, Vesna Jureša, Rudolf Kaaks, Anthony Kafatos, Eero O Kajantie, Zhanna Kalmatayeva, Natasa Kalpourtzi, Ofra Kalter-Leibovici, Freja B Kampmann, Srinivasan Kannan, Eva Karaglani, Line L Kårhus, Khem B Karki, Marzieh Katibeh, Joanne Katz, Jussi Kauhanen, Prabhdeep Kaur, Maryam Kavousi, Gyulli M Kazakbaeva, Ulrich Keil, Lital Keinan Boker, Sirkka Keinänen-Kiukaanniemi, Roya Kelishadi, Han Cg Kemper, Maryam Keramati, Alina Kerimkulova, Mathilde Kersting, Timothy Key, Yousef Saleh Khader, Davood Khalili, Kay-Tee Khaw, Bahareh Kheiri, Motahareh Kheradmand, Alireza Khosravi, Ursula Kiechl-Kohlendorfer, Stefan Kiechl, Japhet Killewo, Dong Wook Kim, Jeongseon Kim, Heidi Klakk, Magdalena Klimek, Jurate Klumbiene, Michael Knoflach, Elin Kolle, Patrick Kolsteren, Jukka P Kontto, Raija Korpelainen, Paul Korrovits, Jelena Kos, Seppo Koskinen, Katsuyasu Kouda, Sudhir Kowlessur, Slawomir Koziel, Jana Kratenova, Vilma Kriaucioniene, Peter Lund Kristensen, Steiner Krokstad, Daan Kromhout, Herculina S Kruger, Ruzena Kubinova, Renata Kuciene, Urho M Kujala, Zbigniew Kulaga, R Krishna Kumar, Pawel Kurjata, Yadlapalli S Kusuma, Vladimir Kutsenko, Kari Kuulasmaa, Catherine Kyobutungi, Tiina Laatikainen, Carl Lachat, Youcef Laid, Tai Hing Lam, Orlando Landrove, Vera Lanska, Georg Lappas, Bagher 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P., Dobson, Annette J., Donfrancesco, Chiara, Donoso, Silvana P., Doering, Angela, Dorobantu, Maria, Doerr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Duante, Charmaine A., Duboz, Priscilla, Duda, Rosemary B., Dulskiene, Virginija, Dushpanova, Anar, Dzakula, Aleksandar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Eftekhar, Ebrahim, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elosua, Roberto, Erasmus, Rajiv T., Erbel, Raimund, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G., Escobedo-de la Pena, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhretdinova, Albina A., Fall, Caroline H., Faramarzi, Elnaz, Farjam, Mojtaba, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J., Felix, Stephan B., Ferguson, Trevor S., Fernandes, Romulo A., Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M., Ferreccio, Catterina, Ferreira, Haroldo S., Ferrer, Eldridge, Ferrieres, Jean, Figueiro, Thamara Hubler, Fink, Gunther, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M., Francis, Damian K., Franco, Maria do Carmo, Frikke-Schmidt, Ruth, Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C., Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furer, Ariel, Furusawa, Takuro, Gaciong, Zbigniew, Galbarczyk, Andrzej, Galenkamp, Henrike, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, Garcia, Pablo, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Geleijnse, Johanna M., George, Ronnie, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gieger, Christian, Gill, Tiffany K., Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Goldberg, Marcel, Goldsmith, Rebecca A., Gomez, Luis F., Gomula, Aleksandra, Cordeiro da Silva, Bruna Goncalves, Goncalves, Helen, Goncalves, Mauer, Gonzalez-Chica, David A., Gonzalez-Gross, Marcela, Gonzalez-Rivas, Juan P., Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Maria-Elena, Gonzalez, Angel R., Bonet Gorbea, Mariano, Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Grodzicki, Tomasz, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guan, Ong Peng, Gudmundsson, Elias F., Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Gunter, Marc J., Gupta, Prakash C., Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Ha, Seongjun, Hadaegh, Farzad, Haghshenas, Rosa, Hakimi, Hamid, Halkjaer, Jytte, Hambleton, Ian R., Hamzeh, Behrooz, Hange, Dominique, Hanif, Abu A. 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Arfan, Iotova, Violeta, Irazola, Vilma E., Ishida, Takafumi, Isiguzo, Godsent C., Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jaddou, Hashem Y., Jafar, Tazeen, James, Kenneth, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O., Joeckel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J., Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jozwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kajantie, Eero O., Kalmatayeva, Zhanna, Kalpourtzi, Natasa, Kalter-Leibovici, Ofra, Kampmann, Freja B., Kannan, Srinivasan, Karaglani, Eva, Karhus, Line L., Karki, Khem B., Katibeh, Marzieh, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M., Keil, Ulrich, Boker, Lital Keinan, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C. G., Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Jeongseon, Klakk, Heidi, Klimek, Magdalena, Klumbiene, Jurate, Knoflach, Michael, Kolle, Elin, Kolsteren, Patrick, Kontto, Jukka P., Korpelainen, Raija, Korrovits, Paul, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kriaucioniene, Vilma, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S., Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M., Kulaga, Zbigniew, Kumar, R. 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K., Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Misigoj-Durakovic, Marjeta, Modesti, Pietro A., Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K., Mohamed, Shukri F., Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Mollehave, Line T., Molnar, Denes, Momenan, Amirabbas, Mondo, Charles K., Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Andre Moura-dos-Santos, Marcos, Mridha, Malay K., Msyamboza, Kelias P., Mu, Thet Thet, Muhihi, Alfa J., Muiesan, Maria L., Muller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M., Najafi, Farid, Nakamura, Harunobu, Namesna, Jana, Nang, Ei Ei K., Nangia, Vinay B., Narake, Sameer, Ndiaye, Ndeye Coumba, Neal, William A., Nejatizadeh, Azim, Nenko, Ilona, Neovius, Martin, Neuhauser, Hannelore K., Nguyen, Chung T., Nguyen, Nguyen D., Nguyen, Quang V., Quang Ngoc Nguyen, Nieto-Martinez, Ramfis E., Niiranen, Teemu J., Nikitin, Yury P., Ninomiya, Toshiharu, Nishtar, Sania, Njelekela, Marina A., Noale, Marianna, Noboa, Oscar A., Noorbala, Ahmad Ali, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Borge G., Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nunes, Baltazar, O'Neill, Terence W., O'Reilly, Dermot, Ochimana, Caleb, Oda, Eiji, Odili, Augustine N., Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olie, Valerie, Olinto, Maria Teresa A., Oliveira, Isabel O., Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M., Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J., Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, de Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Panza, Francesco, Paoli, Mariela, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R., Parsaeian, Mahboubeh, Pasquet, Patrick, Patel, Nikhil D., Pavlyshyn, Halyna, Pecin, Ivan, Pednekar, Mangesh S., Pedro, Joao M., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Peres, Karen G. D. A., Peres, Marco A., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Son Thai Pham, Pichardo, Rafael N., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubio, Pedro, Polasek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Providencia, Rui, Puhakka, Soile E., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Queiroz, Daniel, Tran Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M., Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A., Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, de Wit, Tobias F. Rinke, Ritti-Dias, Raphael M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, Maria, Rodriguez-Villamizar, Laura A., Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L., Rosengren, Annika, Roy, Joel G. R., Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Sandra Ruiz-Betancourt, Blanca, Ruiz-Castell, Maria, Rusakova, Iuliia A., Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmeron, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sans, Susana, Santos, Diana A., Santos, Ina S., Santos, Lelita C., Santos, Maria Paula, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O., Schnohr, Peter, Schoettker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E., Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Servais, Jennifer, Shalnova, Svetlana A., Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., de Moura Silva, Caroline Ramos, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugene, Soderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. A., Sorgjerd, Elin P., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A., Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stoeckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G., Syddall, Holly E., Sylva, Rene Charles, Szklo, Moyses, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B., Taylor, Anne, Taylor, Julie, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. R., Theobald, Holger, Theodoridis, Xenophon, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H., Timmermans, Erik J., Tjandrarini, Dwi H., Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topor-Madry, Roman, Jose Tormo, Maria, Tornaritis, Michael J., Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T. H., Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M., Tulloch-Reid, Marshall K., Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu M. T., Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M., van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T., Van Herck, Koen, Hoang Van Minh, Van Schoor, Natasja M., van Valkengoed, Irene G. M., van Zutphen, Elisabeth M., Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Verstraeten, Roosmarijn, Victora, Cesar G., Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N., Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, Wanderley Junior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Emmanuel A., Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A., Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C., Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K., Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O., Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Elisa Zapata, Maria, Zaw, Ko Ko, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuniga Cisneros, Julio., School of Medicine, ACS - Diabetes & metabolism, APH - Global Health, Pulmonology, Medical Informatics, Adult Psychiatry, Global Health, APH - Quality of Care, APH - Methodology, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Anesthesiology, Graduate School, and ACS - Heart failure & arrhythmias
- Subjects
Male ,Latin Americans ,Nutrition and Disease ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Medizin ,BLOOD-PRESSURE ,030204 cardiovascular system & hematology ,Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants ,Hypertension ,Prevalence ,Control ,Tretament ,GUIDELINES ,Global Health ,Worldwide trends ,0302 clinical medicine ,Hypertension prevalence ,Voeding en Ziekte ,Medicine and Health Sciences ,kohonnut verenpaine ,Medicine ,030212 general & internal medicine ,Prevention and Control ,11 Medical and Health Sciences ,ComputingMilieux_MISCELLANEOUS ,education.field_of_study ,food and beverages ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Noncommunicable diseases ,Period prevalence ,Middle Aged ,kansainvälinen vertailu ,3142 Public health care science, environmental and occupational health ,3. Good health ,MIDDLE-INCOME ,Pooled analysis ,SYSTEMATIC ANALYSIS ,INCOME COUNTRIES ,ADULTS ,PREVENTION ,MANAGEMENT ,ADHERENCE ,DIAGNOSIS ,Western europe ,[SDE]Environmental Sciences ,Hypertension/diagnosis ,NCD Risk Factor Collaboration (NCD-RisC) ,Female ,B990 Subjects Allied to Medicine not elsewhere classified ,Life Sciences & Biomedicine ,Adult ,health-care ,esiintyvyys ,Central asia ,Population ,Nursing ,3121 Internal medicine ,03 medical and health sciences ,Medicine, General & Internal ,Drug Therapy ,General & Internal Medicine ,Life Science ,Humans ,ddc:610 ,education ,Antihypertensive Agents ,VLAG ,Aged ,Science & Technology ,Antihypertensive Agents/therapeutic use ,business.industry ,Omvårdnad ,fungi ,General and internal medicine ,Estados de Saúde e de Doença ,Taking medication ,Treatment ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Blood pressure ,Faculdade de Ciências Sociais ,3121 General medicine, internal medicine and other clinical medicine ,lääkehoito ,1182 Biochemistry, cell and molecular biology ,business ,Demography - Abstract
Background: hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods: we used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings: the number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings., British Heart Foundation Centre of Research Excellence Grant; World Health Organization (WHO); Abdul Latif Jameel Institute for Disease and Emergency Analytics Fellowship
- Published
- 2021
4. Validity and reproducibility of the NORBAGREEN food frequency questionnaire
- Author
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Petkeviciene, J, Similä, M, Becker, W, Kriaucioniene, V, and Valsta, L M
- Published
- 2009
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5. SOCIAL DETERMINANTS OF OVERWEIGHT AND OBESITY IN LITHUANIA: 382 accepted poster
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Kriaucioniene, V., Petkeviciene, J., and Klumbiene, J.
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- 2012
6. 20-year trends in overweight, nutrition and physical activity habits among Lithuanian population
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Kriaucioniene, V, primary and Petkeviciene, J, additional
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- 2020
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7. Social differences in 20-year trends in daily smoking among Lithuanian adult population
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Petkeviciene, J, primary, Kriaucioniene, V, additional, and Raskiliene, A, additional
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- 2020
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8. The trends in health behaviour of the first-year students from Kaunas universities, 2000 - 2017
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Petkeviciene, J, primary and Kriaucioniene, V, primary
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- 2019
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9. Self-regulation, normative beliefs in alcohol use and sexual behaviour: longitudinal study
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Kalina, O, primary, Miovsky, M, additional, Lukacs, A, additional, Kriaucioniene, V, additional, and Orosova, O, additional
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- 2016
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10. Tracking of body mass index and blood pressure from childhood to adulthood and predicting adult risk profile for chronic diseases: Kaunas cohort study
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Petkeviciene, J, primary, Klumbiene, J, additional, Kriaucioniene, V, additional, Ceponiene, I, additional, and Raskiliene, A, additional
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- 2014
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11. P1-202 Monitoring of socio-demographic differences in health behaviours in Lithuania
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Kriaucioniene, V., primary, Klumbiene, J., additional, and Petkeviciene, J., additional
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- 2011
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12. P1-195 The impact of tobacco control legislation on adult smoking prevalence in Lithuania
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Klumbiene, J., primary, Veryga, A., additional, Kriaucioniene, V., additional, and Petkeviciene, J., additional
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- 2011
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13. Validity and reproducibility of the NORBAGREEN food frequency questionnaire
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Petkeviciene, J, primary, Similä, M, additional, Becker, W, additional, Kriaucioniene, V, additional, and Valsta, L M, additional
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- 2007
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14. Time trends in social differences in nutrition habits of a Lithuanian population: 1994-2010
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Kriaucioniene Vilma, Klumbiene Jurate, Petkeviciene Janina, and Sakyte Edita
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Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background During the post-communist transition period, political, economic, and social changes affected the lifestyles of the Lithuanian population, including their nutritional habits. However, people of lower socio-economic position were more vulnerable to these changes. The aim of the present study was to evaluate the trends in selected food habits of the Lithuanian adult population by their level of education and place of residence from 1994 to 2010. Methods The data were obtained from nine biannual cross-sectional postal surveys of Lithuanian health behaviours, beginning in 1994. Each survey used a randomly selected nationally representative sample of 3000 inhabitants aged 20-64 drawn from the population register. In total, 7358 men and 9796 women participated in these surveys. Questions about food consumption were included within all health behaviour questionnaires. Results During the transition period, use of vegetable oil in cooking and the frequency of consumption of fresh vegetables increased, use of butter on bread decreased, and the proportion of women drinking high-fat milk declined. Lithuanians with higher education reported more frequent use of vegetable oil in cooking as well as daily consumption of fresh vegetables than those with a lower level of education. Consumption of high-fat milk was inversely associated with educational background. In addition, the proportion of persons spreading butter on bread increased with higher education level. The greatest urban-rural difference was observed in high-fat milk consumption. The increase in the use of vegetable oil in cooking, and the reduction of spreading butter on bread was more evident among less educated and rural inhabitants. Meanwhile, a greater proportion of the rural population, compared to urban, reduced their use of butter on bread. Daily consumption of fresh vegetables increased most among highly educated Lithuanians. Conclusions The data from our study indicate beneficial dietary changes among the Lithuanian adult population. In general, those with a higher level of education had healthier food habits than those with low education. The educational gradient in analyzed food habits, except the use of vegetable oil, enlarged. A higher proportion of the rural population, compared to urban, reduced their usage of butter on bread. However, consumption of high-fat milk was greatest in the rural population. Our data highlight the need for future food and nutrition policies, as well as health promotion programmes, targeting the whole population, particularly those with lower education and living in rural areas.
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- 2012
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15. Diet and serum lipids: changes over socio-economic transition period in Lithuanian rural population
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Kriaucioniene Vilma, Klumbiene Jurate, Petkeviciene Janina, Ramazauskiene Vitalija, and Sakytė Edita
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Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Since regaining of independence in 1990, Lithuania has been undergoing substantial political, economic, and social changes that affected the nutrition habits of population. Dietary changes might have impact on the trends of dietary related risk factors of chronic diseases. The aim of the study was to compare trends in diet and lipid profile of Lithuanian rural population aged 25-64 during two decades of transition period (1987-2007). Methods Four cross-sectional surveys were conducted within the framework of the Countrywide Integrated Noncommunicable Diseases Intervention Programme in five regions of Lithuania in 1987, 1993, 1999, and 2007. For each survey, a stratified independent random sample was drawn from the lists of the inhabitants aged 25-64 years registered at the primary health care centres. Altogether 3127 men and 3857 women participated in the surveys. 24-hour recall was used for evaluation of dietary habits. Serum lipids were determined using enzymatic methods. Predicted changes of serum cholesterol were calculated by Keys equation. Results The percentage of energy from saturated fatty acids has decreased from 18.0 to 15.1 among men and from 17.6 to 14.8 among women over the period of 20 years. The average share of polyunsaturated fatty acids in total energy intake increased from 5.3% to 7.1% among men and from 4.9% to 7.3% among women. The mean intake of cholesterol declined among women. Favourable trends in fatty acids composition were caused by increased use of vegetable oil for cooking and replacement of butter spread with margarine. Since 1987, the mean value of total cholesterol has decreased by 0.6 mmol/l. Total dietary effect accounts for a 0.26 mmol/l (43.3%) decline in serum cholesterol among men and 0.31 mmol/l (50.8%) decline among women. Conclusions Improvement in the quality of fat intake was observed in Lithuanian rural population over two decades of transition period. Positive changes in diet, mainly reduction in saturated fatty acids intake, contributed to decline in serum cholesterol level. Strengthening of favourable trends in nutrition habits in Lithuanian population should be one of the most important strategies of cardiovascular diseases prevention.
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- 2011
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16. Academic Achievements, Satisfaction with Studies and Risky Behaviours among First-Year Students of Kaunas (Lithuania) Universities, 2000-2017.
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Petkeviciene J, Kriaucioniene V, and Raskiliene A
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- Alcohol Drinking epidemiology, Cross-Sectional Studies, Female, Humans, Lithuania, Male, Personal Satisfaction, Students, Surveys and Questionnaires, Universities, Academic Success, Alcoholism, Substance-Related Disorders epidemiology
- Abstract
Risky behaviours are prevalent among university students and may affect academic achievements. This study aimed to evaluate the associations between academic achievements, satisfaction with studies and risky behaviours among first-year students of Kaunas (Lithuania) universities. Three cross-sectional surveys were conducted in 2000, 2010, and 2017. The self-administered questionnaires were filled in during lectures and assessed frequency and amount of alcohol consumption, drinking problems (CAGE test), smoking and drug use frequency, and academic achievements. The associations between risky behaviours and academic achievements were analysed using multivariable logistic regression analysis. Altogether 3325 students (1341 men and 1984 women) aged 20.0 (1.5) years participated in the survey. The proportion of students who consumed alcohol at least once a week and drank 11 or more standard alcoholic units (SAU) a week decreased. Every fifth student reported a drinking problem. Daily smoking prevalence declined, and drug use increased among male students. Multivariable logistic regression analysis revealed that frequent alcohol consumption and problem drinking were associated with low importance of good grades. Students who rated their academic performance below average and were dissatisfied with studies were more likely to consume ≥11 SAU a week. Daily smoking was more common among students who reported low importance of good grades and academic performance below average. A higher prevalence of drug use was found only in male students who declared low importance of good grades. Health promoting interventions at the individual and student community level are required to reduce the prevalence of substance use and improve the academic achievements of students.
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- 2022
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17. Impact of COVID-19 confinement on eating behaviours across 16 European countries: The COVIDiet cross-national study.
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Molina-Montes E, Uzhova I, Verardo V, Artacho R, García-Villanova B, Jesús Guerra-Hernández E, Kapsokefalou M, Malisova O, Vlassopoulos A, Katidi A, Koroušić Seljak B, Modic R, Eftimov T, Hren I, Valenčič E, Šatalić Z, Panjkota Krbavčić I, Vranešić Bender D, Giacalone D, Bom Frøst M, Konic Ristic A, Milesevic J, Nikolic M, Kolay E, Güney M, Kriaucioniene V, Czlapka-Matyasik M, Bykowska-Derda A, Kujundzic E, Taljić I, Brka M, Spiroski I, Cunha Velho S, Patrícia Sousa Pinto S, Nascimento Monteiro I, Adriana Pereira J, Dolores Ruíz-López M, and Rodríguez-Pérez C
- Abstract
We aimed to evaluate the changes in eating behaviours of the adult population across 16 European countries due to the COVID-19 confinement and to evaluate whether these changes were somehow related to the severity of the containment measures applied in each country. An anonymous online self-reported questionnaire on socio-demographic characteristics, validated 14-items Mediterranean diet (MedDiet) Adherence Screener (MEDAS) as a reference of a healthy diet, eating and lifestyle behaviours prior to and during the COVID-19 confinement was used to collect data. The study included an adult population residing in 16 European countries at the time of the survey. Aggregated Stringency Index (SI) score, based on data from the Oxford COVID-19 Government Response Tracker, was calculated for each country at the time the questionnaire was distributed (range: 0-100). A total of 36,185 participants completed the questionnaire (77.6% female, 75.2% with high educational level and 42.7% aged between 21 and 35 years). In comparison to pre-confinement, a significantly higher adherence to the MedDiet during the confinement was observed across all countries (overall MEDAS score prior to- and during confinement: 5.23 ± 2.06 vs. 6.15 ± 2.06; p < 0.001), with the largest increase seen in Greece and North Macedonia. The highest adherence to MedDiet during confinement was found in Spain and Portugal (7.18 ± 1.84 and 7.34 ± 1.95, respectively). Stricter contingency restrictions seemed to lead to a significantly higher increase in the adherence to the MedDiet. The findings from this cross-sectional study could be used to inform current diet-related public health guidelines to ensure optimal nutrition is followed among the population, which in turn would help to alleviate the current public health crisis., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 Elsevier Ltd. All rights reserved.)
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- 2021
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18. Associations of MC4R , LEP, and LEPR Polymorphisms with Obesity-Related Parameters in Childhood and Adulthood.
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Raskiliene A, Smalinskiene A, Kriaucioniene V, Lesauskaite V, and Petkeviciene J
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- Adiposity, Adult, Age Factors, Child, Exercise, Female, Humans, Male, Middle Aged, Sex Factors, Leptin genetics, Metabolic Syndrome genetics, Pediatric Obesity genetics, Polymorphism, Single Nucleotide, Receptor, Melanocortin, Type 4 genetics, Receptors, Leptin genetics
- Abstract
MC4R , LEP , and LEPR genes are involved in the hypothalamic leptin-melanocortin regulation pathway, which is important for energy homeostasis. Our study aimed to evaluate the associations between the MC4R rs17782313, LEP rs7799039, and LEPR rs1137101 polymorphisms with obesity-related parameters in childhood and adulthood. The data were obtained from the Kaunas Cardiovascular Risk Cohort study, which started in 1977 with 1082 participants aged 12-13 years. In 2012-2014, the follow-up survey was carried out. Genotype analysis of all respondents ( n = 509) aged 48-49 years was performed for the gene polymorphisms using Real-Time Polymerase Chain Reaction. Anthropometric measurements were performed in childhood and adulthood. In childhood, only skinfold thicknesses were associated with gene variants being the lowest in children with MC4R TT genotype and LEP AG genotype. In adulthood, odds of obesity and metabolic syndrome was higher in MC4R CT/CC genotype than TT genotype carriers (OR 1.8; 95% CI 1.2-2.8 and OR 1.6; 95% CI 1.1-2.4, respectively). In men, physical activity attenuated the effect of the MC4R rs17782313 on obesity. The LEP GG genotype was associated with higher BMI, waist circumference, and visceral fat level only in men. No associations of the LEPR rs1137101 polymorphisms with anthropometric measurements and leptin level were found. In conclusion, the associations of the MC4R and LEP gene polymorphisms with obesity-related parameters strengthened with age.
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- 2021
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19. Trends in Eating Habits and Body Weight Status, Perception Patterns and Management Practices among First-Year Students of Kaunas (Lithuania) Universities, 2000-2017.
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Kriaucioniene V, Raskiliene A, Petrauskas D, and Petkeviciene J
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- Adult, Cross-Sectional Studies, Female, Fruit, Humans, Life Style, Lithuania, Male, Nutrition Surveys, Overweight, Sex Factors, Surveys and Questionnaires, Universities, Vegetables, Weight Gain, Young Adult, Body Weight, Feeding Behavior, Students statistics & numerical data
- Abstract
Students' transition from high school to university is accompanied by lifestyle changes. This study aimed to assess trends in students' body weight status, perception, management practices and eating habits from 2000 to 2017. Three cross-sectional surveys were carried out among the first-year students of five Kaunas (Lithuania) universities in 2000, 2010 and 2017. The self-administered questionnaires were filled in during lectures. Altogether, 3275 students aged 20.0 (1.5) years participated in the survey. The prevalence of self-reported overweight increased among male students from 11.3% in 2000 to 24.3% in 2017 and female students from 5.2 to 9.6%. The intake frequency of fruits, vegetables and cereals increased, and red meat decreased. At a normal BMI, more female than male students perceived themselves as being 'too fat' (19.4% and 8.8% in 2017), while more male than female students perceived themselves as being 'too thin' (37.2% and 4.5% in 2017). More females than males were dissatisfied with their weight, worried about gaining weight and tried to lose weight. Weight-management practices were associated with body weight, self-perception, dissatisfaction, worries about weight gain and eating behaviours. Our study highlights the need for interventions to increase the accuracy of weight perception and to promote the appropriate weight-management methods, addressing gender differences.
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- 2021
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20. Associations between Changes in Health Behaviours and Body Weight during the COVID-19 Quarantine in Lithuania: The Lithuanian COVIDiet Study.
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Kriaucioniene V, Bagdonaviciene L, Rodríguez-Pérez C, and Petkeviciene J
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- Adolescent, Adult, Betacoronavirus, Body Mass Index, Body Weight, COVID-19, Cross-Sectional Studies, Fast Foods, Female, Humans, Life Style, Lithuania epidemiology, Male, Middle Aged, Obesity complications, Obesity epidemiology, Quarantine, SARS-CoV-2, Snacks, Young Adult, Coronavirus Infections complications, Coronavirus Infections epidemiology, Coronavirus Infections virology, Energy Intake, Feeding Behavior, Health Behavior, Pandemics, Pneumonia, Viral complications, Pneumonia, Viral epidemiology, Pneumonia, Viral virology, Social Isolation, Weight Gain
- Abstract
The COVID-19 quarantine has caused significant changes in everyday life. This study aimed to evaluate the effect of the quarantine on dietary, physical activity and alcohol consumption habits of Lithuanians and the association between health behaviours and weight changes. An online cross-sectional survey was carried out among individuals older than 18 years in April 2020. The self-administered questionnaire included health behaviour and weight change data. Altogether 2447 subjects participated in the survey. Almost half of the respondents (49.4%) ate more than usual, 45.1% increased snacking, and 62.1% cooked at home more often. Intake of carbonated or sugary drinks, fast food and commercial pastries decreased, while consumption of homemade pastries and fried food increased. A decrease in physical activity was reported by 60.6% of respondents. Every third (31.5%) respondent, more often those already with overweight, gained weight. Multivariate logistic regression analysis showed that the higher odds of weight gain were associated with females, older age, increased consumption of sugary drinks, homemade pastries and fried food, eating more than usual, increased snacking, decreased physical activity and increased alcohol consumption. Our data highlighted the need for dietary and physical activity guidelines to prevent weight gain during the period of self-isolation, especially targeting those with overweight and obesity.
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- 2020
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21. Self-Reported Oral Health, Oral Hygiene and Associated Factors in Lithuanian Adult Population, 1994-2014.
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Raskiliene A, Kriaucioniene V, Siudikiene J, and Petkeviciene J
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- Adult, Aged, Cross-Sectional Studies, Female, Health Behavior, Humans, Hygiene, Male, Middle Aged, Self Report, Surveys and Questionnaires, Young Adult, Oral Health, Oral Hygiene, Toothbrushing
- Abstract
This study aimed to examine 20-year trends (1994-2014) in self-reported oral health and oral hygiene and to assess the associated factors in a Lithuanian population aged 20-64 years. Nationally representative cross-sectional data on 8612 men and 11,719 women were obtained from 11 biennial postal surveys of Lithuanian health behavior monitoring. Dentate status was assessed by asking about the number of missing teeth. Over the study period, the proportion of men with all teeth increased from 17.5% to 23.0% and the same proportion increased in women-from 12.5% to 19.6%. The prevalence of edentulousness was 2.8% in 2014. The proportion of individuals brushing teeth at least twice a day increased from 14.6% to 31.9% in men and from 33.0% to 58.8% in women. Multivariate logistic regression analysis revealed that older age, lower education, living in rural areas, daily smoking, confectionary consumption (only in women), obesity, no visits to a dentist during the past year, toothache and brushing teeth less than twice a day increased the odds of missing six or more teeth. Efforts should be made to promote good oral hygiene habits, prevent and control behavioral risk factors and increase access to dental care among risk groups.
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- 2020
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22. Predictors and Trend in Attendance for Breast Cancer Screening in Lithuania, 2006-2014.
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Kriaucioniene V and Petkeviciene J
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- Aged, Cross-Sectional Studies, Early Detection of Cancer statistics & numerical data, Female, Humans, Lithuania, Mammography statistics & numerical data, Middle Aged, Residence Characteristics, Uterine Cervical Neoplasms diagnosis, Uterine Cervical Neoplasms prevention & control, Breast Neoplasms diagnosis, Breast Neoplasms prevention & control, Early Detection of Cancer trends, Health Behavior
- Abstract
In Lithuania, a Nationwide Breast Cancer (BC) Screening Program was launched in 2005, offering mammography for women aged 50 to 69 years, every other year. This study aimed to determine the trend in the attendance for mammography screening during 2006-2014 and to identify the factors that are predictive for participation in it. The study sample consisted of 1941 women aged 50-64 years, who participated in five cross-sectional biennial postal surveys of Lithuanian Health Behavior Monitoring, carried out in independent national random samples. The attendance for screening was identified if women reported having had a mammogram within the last two years. The proportion of women attending the screening was continuously increasing from 20.0% in 2006 up to 65.8% in 2014. The attendance for BC screening was associated with the participation in cervical cancer screening. A higher level of education, living in a city, frequent contact with a doctor, and healthy behaviors (fresh-vegetable consumption, physical activity, and absence of alcohol abuse) were associated with higher participation rates in BC screening. To increase BC screening uptake and to reduce inequalities in attendance, new strategies of organized BC screening program using systematic personal invitations are required in Lithuania.
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- 2019
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23. Nutrition and physical activity counselling by general practitioners in Lithuania, 2000-2014.
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Kriaucioniene V, Petkeviciene J, and Raskiliene A
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- Adult, Female, Health Care Surveys statistics & numerical data, Humans, Lithuania, Male, Middle Aged, Obesity therapy, Overweight therapy, Practice Patterns, Physicians' statistics & numerical data, Young Adult, Counseling methods, Diet, Healthy, Exercise, General Practitioners
- Abstract
Background: Primary health care plays a crucial role in providing recommendations on a healthy diet and physical activity to assist patients in weight management. The study aimed to evaluate health behaviour counselling provided by general practitioners (GPs) for adults with overweight and obesity in Lithuania between 2000 and 2014., Methods: Eight biennial postal surveys to independent nationally representative random samples of Lithuanians aged 20-64 were conducted. Response rates varied from 41.1 to 74%, with a decreasing trend over time. The data of 5867 participants who visited a GP at least once during the last year and had BMI of ≥25.0 kg/m
2 were analysed. Respondents were asked about GP advice on nutrition and physical activity and changes in their health behaviour during the last year., Results: The proportion of persons with overweight who reported GP advice on nutrition increased from 23.6% in 2000 to 37.5% in 2010 and advice on physical activity from 11.9 to 17.2% respectively; however, later both proportions decreased slightly. The likelihood of reporting was higher in respondents with higher BMI, more chronic conditions and frequent contact with a GP. Respondents who were living in cities, older and highly educated women were all more likely to report being advised on physical activity. Men and women who received advice from a GP more often reported changes in health behaviour as compared with non-advised individuals., Conclusions: Despite increasing trends, the rate of GP advice on nutrition and physical activity reported by patients with overweight and obesity remains low in Lithuania. GP advice appears to have a significant impact on attempts by patients to change behaviour related to weight control. Therefore, there is an obvious need to make additional efforts to increase the frequency of GP counselling and to identify and address barriers to advising patients with overweight.- Published
- 2019
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24. Inequalities in smoking and obesity in Europe predicted to 2050: Findings from the EConDA project.
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Pérez-Ferrer C, Jaccard A, Knuchel-Takano A, Retat L, Brown M, Kriaucioniene V, and Webber L
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- Adolescent, Adult, Cross-Sectional Studies, Educational Status, Europe epidemiology, Female, Humans, Male, Middle Aged, Prevalence, Young Adult, Health Status Disparities, Obesity epidemiology, Smoking epidemiology
- Abstract
Aims: The aim of this study was to project educational inequalities in obesity and smoking prevalence to 2050 based on past obesity and smoking trends by education level., Methods: Data on obesity (body mass index ≥ 30) and smoking prevalence (current smokers) by education level (tertiary education and less than tertiary) from nationally representative cross-sectional surveys were collected for the following six countries participating in the Economics of Chronic Diseases project (EConDA): England, Finland, Lithuania, the Netherlands, Poland (obesity only) and Portugal (obesity only). A nonlinear multivariate regression model was fitted to the data to create longitudinal projections to 2050. Inequalities were measured with a prevalence ratio and a prevalence difference using projected obesity/smoking prevalence., Results: Educational inequalities in obesity prevalence are projected to increase in Finland, Lithuania and England for men, and in Lithuania and Poland for women, by 2050. Obesity prevalence is projected to increase faster among the more advantaged groups in England, Portugal, Finland and the Netherlands among women, and Portugal and the Netherlands among men, narrowing inequalities. In contrast to obesity, smoking prevalence is projected to continue declining in most of the countries studied. The decline is projected to be faster in relative terms among more advantaged groups; therefore, relative educational inequalities in smoking prevalence are projected to increase in all countries., Conclusions: Widening educational inequalities in obesity and smoking prevalence are expected in several European countries if current trends in obesity and smoking prevalence are unaltered. This will impact on inequalities in morbidity and mortality of associated diseases such as diabetes, coronary heart disease and chronic obstructive pulmonary disease.
- Published
- 2018
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25. Variations in the Prevalence of Obesity Among European Countries, and a Consideration of Possible Causes.
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Blundell JE, Baker JL, Boyland E, Blaak E, Charzewska J, de Henauw S, Frühbeck G, Gonzalez-Gross M, Hebebrand J, Holm L, Kriaucioniene V, Lissner L, Oppert JM, Schindler K, Silva AL, and Woodward E
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- Body Mass Index, Diet, Environment, Ethnicity, Europe epidemiology, Exercise, Genetic Predisposition to Disease, Humans, Obesity genetics, Pediatric Obesity epidemiology, Prevalence, Obesity epidemiology
- Abstract
Over the last 10 years the prevalence of obesity across the European continent has in general been rising. With the exception of a few countries where a levelling-off can be perceived, albeit at a high level, this upward trend seems likely to continue. However, considerable country to country variation is noticeable, with the proportion of people with obesity varying by 10% or more. This variation is intriguing and suggests the existence of different profiles of risk or protection factors operating in different countries. The identification of such protection factors could indicate suitable targets for interventions to help manage the obesity epidemic in Europe. This report is the output of a 2-day workshop on the 'Diversity of Obesity in Europe'. The workshop included 14 delegates from 12 different European countries. This report contains the contributions and discussions of the materials and viewpoints provided by these 14 experts; it is not the output of a single mind. However, such is the nature of scientific analysis regarding obesity that it is possible that a different set of 14 experts may have come to a different set of conclusions. Therefore the report should not be seen as a definitive statement of a stable situation. Rather it is a focus for discussion and comment, and a vehicle to drive forward further understanding and management of obesity in Europe., (© 2017 The Author(s) Published by S. Karger GmbH, Freiburg.)
- Published
- 2017
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26. Socio-demographic inequalities in overweight and obesity among Lithuanian adults: time trends from 1994 to 2014.
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Kriaucioniene V, Petkeviciene J, Klumbiene J, Sakyte E, and Raskiliene A
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- Adult, Female, Humans, Lithuania epidemiology, Male, Middle Aged, Prevalence, Sex Distribution, Socioeconomic Factors, Surveys and Questionnaires, Young Adult, Health Status Disparities, Obesity epidemiology, Overweight epidemiology
- Abstract
Aim: The aim was to examine trends in socio-demographic differences in the prevalence of overweight and obesity among the Lithuanian adult population from 1994 to 2014., Methods: The data from 11 postal surveys were analysed. For every survey, a nationally representative random sample aged 20-64 was drawn from the National Population Register. The sample consisted of 3000 individuals in each of the 1994-2008 surveys and 4000 in the last three surveys. Altogether, 8738 men and 11,822 women participated in the surveys. Self-reported weight and height were used to calculate BMI., Results: From 1994 to 2014, the prevalence of overweight and obesity increased in all socio-demographic groups of men, reaching 58.6% and 19.5% respectively. Highly educated men and those living in cities had higher BMI values than lower educated and non-urban inhabitants without substantial changes in the differences in BMI over the study period. In women, the prevalence of overweight decreased from 51.7% to 46%, whereas the prevalence of obesity did not change being 19.2% in 2014. Overweight and obesity were more common among lower educated women and those living in non-urban areas than in the others. Educational inequalities in weight status of women increased due to the decrease of BMI only in women with university education. CONCLUSIONS TIME TRENDS IN BMI WERE MORE PRONOUNCED AMONG LITHUANIAN MEN THAN WOMEN, WHEREAS SOCIO-DEMOGRAPHIC INEQUALITIES WERE GREATER AMONG WOMEN THE STRATEGIES FOR PREVENTION AND CONTROL OF OBESITY SHOULD TARGET ALL MEN AND WOMEN WITH LOWER EDUCATION AND LIVING IN NON-URBAN AREAS OF LITHUANIA., (© 2016 the Nordic Societies of Public Health.)
- Published
- 2016
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27. Anthropometric measurements in childhood and prediction of cardiovascular risk factors in adulthood: Kaunas cardiovascular risk cohort study.
- Author
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Petkeviciene J, Klumbiene J, Kriaucioniene V, Raskiliene A, Sakyte E, and Ceponiene I
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- Blood Pressure physiology, Body Mass Index, C-Reactive Protein, Cardiovascular System, Cohort Studies, Diabetes Mellitus, Type 2 complications, Female, Humans, Hyperglycemia, Hypertension complications, Lipids blood, Male, Metabolic Syndrome epidemiology, Middle Aged, Obesity epidemiology, Prevalence, Risk Factors, Skinfold Thickness, Surveys and Questionnaires, Triglycerides blood, Waist Circumference, Anthropometry, Cardiovascular Diseases etiology, Predictive Value of Tests
- Abstract
Background: This study aimed to examine the associations between anthropometric measurements in childhood and adulthood as well as the effect of childhood body mass index (BMI) and skinfold thickness in the prediction of adult cardiovascular risk factors., Methods: The Study subjects were participants of the Kaunas Cardiovascular Risk Cohort study. They were 12-13 years old at the time of the baseline survey (1977) and 48-49 years old in the 35-year follow-up survey (2012, n = 506). In childhood, height, weight, subscapular and triceps skinfold thickness measurements were taken. In 2012, health examination involved measurements of blood pressure (BP), BMI, waist circumference, glucose, lipids, and high-sensitivity C-reactive protein (CRP) levels. Logistic regression models were fitted to assess the associations of childhood BMI and skinfold thicknesses as well as BMI gain with cardiovascular risk factors in middle age. All logistic regression models were adjusted for sex, physical activity level, alcohol consumption, smoking and family history of obesity., Results: Over 35 years of follow-up, BMI gain was greater in men than in women. Anthropometric measurements in childhood significantly correlated with values measured in adulthood. The highest correlation coefficients were defined for weight and BMI measurements (in girls r = 0.56 and r = 0.51 respectively; in boys r = 0.45 and r = 0.41 respectively, P < 0.001). Mean values of change in BMI were similar in all quintiles of childhood BMI; however, prevalence of adult obesity increased considerably with increasing quintiles. The risk of adult obesity, metabolic syndrome, hyperglycaemia or type 2 diabetes, and elevated level of high-sensitivity CRP increased with a rise in childhood BMI and skinfold thicknesses, irrespectively of BMI gain from childhood to adulthood. No relationship was found between childhood anthropometric measurements and arterial hypertension, raised level of triglycerides or reduced level of HDL cholesterol. Gain in BMI from childhood to adulthood was associated with increased odds of all above-mentioned risk factors independently of childhood BMI., Conclusions: Risk of metabolic syndrome, hyperglycaemia and diabetes, and elevated high-sensitivity CRP may be affected by childhood BMI and skinfold thickness, while risk of hypertension, raised triglycerides and reduced HDL cholesterol is associated more strongly with BMI gain from childhood to adulthood.
- Published
- 2015
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28. Physical, behavioural and genetic predictors of adult hypertension: the findings of the Kaunas Cardiovascular Risk Cohort study.
- Author
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Petkeviciene J, Klumbiene J, Simonyte S, Ceponiene I, Jureniene K, Kriaucioniene V, Raskiliene A, Smalinskiene A, and Lesauskaite V
- Subjects
- Adolescent, Adrenomedullin genetics, Alcohol Drinking adverse effects, Angiotensinogen genetics, Body Mass Index, Calcium Channels, L-Type genetics, Child, Female, Follow-Up Studies, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Lithuania, Male, Middle Aged, Peptidyl-Dipeptidase A genetics, Polymorphism, Single Nucleotide, Prevalence, Risk Factors, Hypertension genetics
- Abstract
Background: The roots of adult hypertension go back to childhood. This study aimed to examine the independent effects of physical, behavioural and genetic factors identified in childhood and mid-adulthood for prediction of adult hypertension., Methods: The study subjects were participants of the Kaunas Cardiovascular Risk Cohort study started in 1977 (n = 1082, age 12-13 years). In 2012, a total of 507 individuals (63.9% of eligible sample) participated in the 35-year follow-up survey. Health examination involved measurements of blood pressure (BP), anthropometric parameters, and interview about health behaviours. Subjects were genotyped for AGT (M235T), ACE (I/D, rs4340), ADM (rs7129220), and CACNB2 (rs12258967) genes polymorphisms. A genetic risk score was calculated as the sum of the number of risk alleles at each of four single nucleotide polymorphisms., Results: AGT TT genotype male carriers had the highest mean values of systolic BP in childhood. In females, ADM genotype AA was associated with the highest values of systolic and diastolic BP, while CACNB2 genotype CC carriers had the highest values of diastolic BP in childhood. Systolic and diastolic BP in childhood, gain in BMI from childhood to adulthood, and risky alcohol consumption predicted hypertension in middle-aged men. In women, genetic risk score together with diastolic BP in childhood and gain in BMI were significant predictors of adult hypertension. The comparison of four nested logistic regression models showed that the prediction of hypertension improved significantly after the addition of BMI gain. Genetic risk score had a relatively weak effect on the improvement of the model performance in women., Conclusions: BP in childhood and the gain in BMI from childhood to adulthood were significant predictors of adult hypertension in both genders. Genetic risk score in women and risky alcohol consumption in men were independently related with the risk of adult hypertension.
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- 2014
- Full Text
- View/download PDF
29. Economics of chronic diseases protocol: cost-effectiveness modelling and the future burden of non-communicable disease in Europe.
- Author
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Divajeva D, Marsh T, Logstrup S, Kestens M, Vemer P, Kriaucioniene V, Peresson S, O'Kelly S, Rito A, and Webber L
- Subjects
- Chronic Disease economics, Chronic Disease prevention & control, Coronary Disease epidemiology, Diabetes Mellitus, Type 2 epidemiology, Europe, Forecasting, Humans, Pulmonary Disease, Chronic Obstructive epidemiology, Renal Insufficiency, Chronic epidemiology, Risk Factors, Chronic Disease epidemiology, Cost-Benefit Analysis, Health Care Costs
- Abstract
Background: The majority of chronic disease is caused by risk factors which are mostly preventable. Effective interventions to reduce these risks are known and proven to be applicable to a variety of settings. Chronic disease is generally developed long before the fatal outcome, meaning that a lot of people spend a number of years in poor health. Effective prevention measures can prolong lives of individuals and significantly improve their quality of life. However, the methods to measure cost-effectiveness are a subject to much debate. The Economics of Chronic Diseases project aims to establish the best possible methods of measuring cost-effectiveness as well as develop micro-simulation models apt at projecting future burden of chronic diseases, their costs and potential savings after implementation of cost-effective interventions., Method: This research project will involve eight European countries: Bulgaria, Finland, Greece, Lithuania, The Netherlands, Poland, Portugal and the United Kingdom (UK). A literature review will be conducted to identify scientific articles which critically review the methods of cost-effectiveness. Contact will be made health economists to inform and enrich this review. This evidence will be used as a springboard for discussion at a meeting with key European stakeholders and experts with the aim of reaching a consensus on recommendations for cost-effectiveness methodology. Epidemiological data for coronary heart disease, chronic kidney disease, type 2 diabetes and chronic obstructive pulmonary disease will be collected along with data on time trends in three major risk factors related to these diseases, specifically tobacco consumption, blood pressure and body mass index. Economic and epidemiological micro-simulation models will be developed to asses the future distributions of risks, disease outcomes, healthcare costs and the cost-effectiveness of interventions to reduce the burden of chronic diseases in Europe., Discussion: This work will help to establish the best methods of measuring cost-effectiveness of health interventions as well as test a variety of scenarios to reduce the risk factors associated with selected chronic diseases. The modelling projections could be used to inform decisions and policies that will implement the best course of action to curb the rising incidence of chronic diseases.
- Published
- 2014
- Full Text
- View/download PDF
30. Diet and serum lipids: changes over socio-economic transition period in Lithuanian rural population.
- Author
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Ramazauskiene V, Petkeviciene J, Klumbiene J, Kriaucioniene V, and Sakytė E
- Subjects
- Adult, Cross-Sectional Studies, Female, Humans, Lithuania, Male, Middle Aged, Diet, Lipids blood, Rural Population, Social Class
- Abstract
Background: Since regaining of independence in 1990, Lithuania has been undergoing substantial political, economic, and social changes that affected the nutrition habits of population. Dietary changes might have impact on the trends of dietary related risk factors of chronic diseases. The aim of the study was to compare trends in diet and lipid profile of Lithuanian rural population aged 25-64 during two decades of transition period (1987-2007)., Methods: Four cross-sectional surveys were conducted within the framework of the Countrywide Integrated Noncommunicable Diseases Intervention Programme in five regions of Lithuania in 1987, 1993, 1999, and 2007. For each survey, a stratified independent random sample was drawn from the lists of the inhabitants aged 25-64 years registered at the primary health care centres. Altogether 3127 men and 3857 women participated in the surveys. 24-hour recall was used for evaluation of dietary habits. Serum lipids were determined using enzymatic methods. Predicted changes of serum cholesterol were calculated by Keys equation., Results: The percentage of energy from saturated fatty acids has decreased from 18.0 to 15.1 among men and from 17.6 to 14.8 among women over the period of 20 years. The average share of polyunsaturated fatty acids in total energy intake increased from 5.3% to 7.1% among men and from 4.9% to 7.3% among women. The mean intake of cholesterol declined among women. Favourable trends in fatty acids composition were caused by increased use of vegetable oil for cooking and replacement of butter spread with margarine. Since 1987, the mean value of total cholesterol has decreased by 0.6 mmol/l. Total dietary effect accounts for a 0.26 mmol/l (43.3%) decline in serum cholesterol among men and 0.31 mmol/l (50.8%) decline among women., Conclusions: Improvement in the quality of fat intake was observed in Lithuanian rural population over two decades of transition period. Positive changes in diet, mainly reduction in saturated fatty acids intake, contributed to decline in serum cholesterol level. Strengthening of favourable trends in nutrition habits in Lithuanian population should be one of the most important strategies of cardiovascular diseases prevention.
- Published
- 2011
- Full Text
- View/download PDF
31. [Dietary patterns and their association with lifestyle factors in Lithuanian adult population].
- Author
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Kriaucioniene V, Petkeviciene J, and Klumbiene J
- Subjects
- Adult, Alcohol Drinking, Beer, Cross-Sectional Studies, Data Collection, Diet, Exercise, Female, Fruit, Humans, Lithuania, Logistic Models, Male, Middle Aged, Sex Factors, Smoking, Sports, Surveys and Questionnaires, Vegetables, Wine, Feeding Behavior, Life Style
- Abstract
The aim of this study was to determine the association between dietary patterns and others lifestyle factors. In 1998-2004, four cross-sectional surveys were carried out within the FINBALT HEALTH MONITOR project. For every survey, a random sample of 3000 Lithuanians, aged 20-64 years, was taken from the National Population Register. The response rates varied from 61.7% to 74.4%. The study material was collected by mailed questionnaires. The 20 food groups were included into food frequency questionnaire. Factor analysis was employed in order to reduce the number of food items. Four main factors were identified: "Light food," "Sweets," "Heavy food," and "Cereals." They accounted for 46% of total variance in food intake in men and women. The associations between dietary patterns and lifestyle factors were examined by applying logistic regression analysis. Nonsmokers, physical active people, wine drinkers, and men consuming beer were more likely to follow the "Light food" pattern (consumption of fresh vegetables, fruits, chicken, and fish). People having positive values of the "Cereals" pattern smoked and drank alcohol less often and were more physical active than those with negative values of the factor. "Heavy food" factor was associated with daily smoking and drinking of strong alcohol in men and drinking of beer in women. The consumers of strong alcohol and people less physically active in leisure time were more likely to follow "Sweets" pattern. CONCLUSIONS. Nutrition habits were related to lifestyle factors. Men and women who followed the "Cereals" pattern have the healthiest lifestyle.
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- 2009
32. Risk factors for noncommunicable diseases in Lithuanian rural population: CINDI survey 2007.
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Grabauskas V, Klumbiene J, Petkeviciene J, Petrauskiene A, Tamosiūnas A, Kriaucioniene V, and Ramazauskiene V
- Subjects
- Adult, Age Factors, Aged, Alcohol Drinking epidemiology, Data Interpretation, Statistical, Female, Humans, Leisure Activities, Lithuania epidemiology, Male, Middle Aged, Prevalence, Risk Factors, Sex Factors, Smoking epidemiology, World Health Organization, Hypercholesterolemia epidemiology, Hypertension epidemiology, Metabolic Syndrome epidemiology, Obesity epidemiology, Rural Population
- Abstract
Unlabelled: The aim of the study was to assess the risk profile for noncommunicable diseases in Lithuanian rural population., Material and Methods: Within CINDI program, the risk factor survey was carried out in five rural regions of Lithuania in random sample of population aged 25-64 years in 2007. The risk factors were defined according to the WHO criteria. A total of 1739 participants were enrolled in the study., Results: The prevalence of hypertension was considerably higher among men than among women (60.3% and 44.6%, respectively). Hypercholesterolemia was identified in half of examined persons with no gender difference. The proportion of obese female persons was greater than male. Metabolic syndrome was diagnosed in 15.1% of men and in 21.5% of women. The significant gender difference was observed in the prevalence of regular smoking (47.5% in men and 18.1% in women) as well as risky alcohol consumption (26.7% of men and 3.1% of women). The majority of rural population was lacking leisure-time physical activity. The prevalence of hypertension, hypercholesterolemia, obesity, and metabolic syndrome was increasing with age in both men and women. Regular smoking and risky alcohol consumption were more common among younger than older population. Leisure-time physical activity tended to increase with age., Conclusions: The prevalence of risk factors for noncommunicable diseases in Lithuanian rural population is high. The obtained data prove that comprehensive and intersectorial preventive actions aimed at the reduction in the risk of noncommunicable diseases are urgently needed in Lithuania.
- Published
- 2008
33. Dietary patterns and their association with sociodemographic factors in Lithuanian adult population.
- Author
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Kriaucioniene V, Petkeviciene J, and Klumbiene J
- Subjects
- Adult, Age Factors, Cross-Sectional Studies, Data Interpretation, Statistical, Education, Female, Health Surveys, Humans, Lithuania, Male, Marital Status, Middle Aged, Rural Population, Sex Factors, Socioeconomic Factors, Urban Population, Feeding Behavior, Food Preferences, Health Behavior
- Abstract
Summary: The aim of the study was to determine the association between dietary patterns and sociodemographic factors using the data of Lithuanian health behavior monitoring., Material and Methods: In 1998-2004, four cross-sectional surveys were carried out within the Finbalt Health Monitor project. For every survey, a random sample of 3000 Lithuanians aged 20-64 years was taken from the National Population Register by mailed questionnaires. The response rates varied from 61.7% to 74.4%. Factor analysis was employed in order to reduce the number of food items. Four main factors were defined: "light food," "sweets," "heavy food," and "cereals" factors. The associations between dietary patterns and sociodemographic factors were examined by applying a logistic regression analysis., Results: Four major factors accounted for 45.9% of the total variance in food intake in men and 46.5% in women. The "sweets" factor was inversely associated with age both in men and women. A strong positive association was found between age and the "cereals" factor. Men and women with a higher level of education were more likely to follow "light food" and "sweets" pattern and less likely "heavy food" if compared with people with a lower level of education. The odds of consuming "light food" were higher in cities than in rural areas. Married men and women were more likely to follow "heavy food" pattern compared to unmarried., Conclusion: This study identified four main dietary patterns in Lithuanian population. Dietary patterns of people with a higher level of education and inhabitants of cities are closer to the recommendations on healthy nutrition.
- Published
- 2008
34. Health inequalities in Lithuania: education and nutrition habits.
- Author
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Grabauskas V, Petkeviciene J, Kriaucioniene V, and Klumbiene J
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- Adult, Female, Health Surveys, Humans, Lithuania, Male, Middle Aged, Odds Ratio, Regression Analysis, Sex Factors, Surveys and Questionnaires, Education, Feeding Behavior, Health Behavior, Nutritional Physiological Phenomena
- Abstract
The aim of the study was to evaluate the associations between food behavior and educational level among Lithuanian adult population. Five health behavior surveys were carried out within the international Finbalt Health Monitor project in 1994-2002. For every survey the national random sample of 3000 inhabitants aged 20-64 was taken from the National Population Register. The study material was collected through mailed questionnaires covering sociodemographic characteristics and some nutrition habits. The respondents were categorized according to the level of education into three groups: persons having incomplete secondary, secondary and university education. Multiple regression analysis was used for evaluation of associations between level of education and nutrition habits. The persons with university education have a healthier diet than those with incomplete secondary education. The consumption of fish, vegetables and fruit, use of vegetable oil for cooking, was substantially higher in those with university education as compared to persons with incomplete secondary education. The proportion of persons drinking whole milk was the highest among the low educated men and women. The high-educated women consumed meat less often than those with incomplete secondary education did. However, persons with university education preferred butter on bread. The high-educated men consumed cheese daily more often than those with low education. The positive trends in nutrition habits of Lithuanians were observed between 1994 and 2002. However, educational differences in nutrition habits still remain significant. In conclusion, alongside with other health interventions, the programs aimed at reducing inequalities in health should consider the educational differences in nutrition habits of Lithuanians paying more attention to less educated persons.
- Published
- 2004
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