129 results on '"Azimi-Nezhad M."'
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2. The relationship between established coronary risk factors and serum copper and zinc concentrations in a large Persian Cohort
- Author
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Ghayour-Mobarhan, M., Shapouri-Moghaddam, A., Azimi-Nezhad, M., Esmaeili, H., Parizadeh, S.M.R., Safarian, M., Kazemi-Bajestani, S.M.R., Khodaei, G.H., Hosseini, S.J., Parizadeh, S.M.J., and Ferns, G.A.
- Published
- 2009
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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, M, Deev, Ad, Degennaro, V, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, Af, Dias-da-Costa, Js, Diaz, A, Dickerson, Tt, Dika, Z, Djalalinia, S, Htp, Do, Dobson, Aj, Donfrancesco, C, Donoso, Sp, Doring, A, Dorobantu, M, Dorr, M, Doua, K, Dragano, N, Drygas, W, Duante, Ca, Duboz, P, Duda, Rb, Dulskiene, V, Dushpanova, A, Dzakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, Rt, Erbel, R, Erem, C, Eriksen, L, Eriksson, Jg, Escobedo-de la Pena, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, Aa, Fall, Ch, Faramarzi, E, Farjam, M, Fattahi, Mr, Fawwad, A, Felix-Redondo, Fj, Felix, Sb, Ferguson, Ts, Fernandes, Ra, Fernandez-Berges, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, Mm, Ferreccio, C, Ferreira, Hs, Ferrer, E, Ferrieres, J, Figueiro, Th, Fink, G, Fischer, K, Foo, Lh, Forsner, M, Fouad, Hm, Francis, Dk, Grego, Franco, Frikke-Schmidt, R, Frontera, G, Fuchs, Fd, Fuchs, Sc, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, Jl, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, Sp, Gaspoz, Jm, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, Jm, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, Of, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, Tk, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, Ra, Gomez, Lf, Gomula, A, da Silva, Bgc, Goncalves, H, Goncalves, M, Gonzalez-Chica, Da, Gonzalez-Gross, M, Gonzalez-Rivas, Jp, Gonzalez-Villalpando, C, Gonzalez-Villalpando, Me, Gonzalez, Ar, Gorbea, Mb, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, Mg, Gregor, Rd, Grodzicki, T, Grosso, G, Gruden, G, Df, Gu, Guan, Op, Gudmundsson, Ef, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, Al, Gulliford, Mc, Gunnlaugsdottir, J, Gunter, Mj, Gupta, Pc, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Ha, S, Hadaegh, F, Haghshenas, R, Hakimi, H, Halkjaer, J, Hambleton, Ir, Hamzeh, B, Hange, D, Hanif, Aam, Hantunen, S, Hao, J, Hardman, Cm, Kumar, Rh, Hashemi-Shahri, Sm, Hata, J, Haugsgjerd, T, Hayes, Aj, Yn, He, Heier, M, Hendriks, Me, Henrique, Rd, Henriques, A, Cadena, Lh, Herrala, S, Heshmat, R, Hill, Ag, Sy, Ho, Sc, Ho, Hobbs, M, Holdsworth, M, Homayounfar, R, Dinc, Gh, Horimoto, Arvr, Hormiga, Cm, Horta, Bl, Houti, L, Howitt, C, Htay, Tt, Htet, As, Htike, Mmt, Yh, Hu, Huerta, Jm, Huhtaniemi, It, Huiart, L, Huisman, M, Husseini, As, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, Ag, Ibrahim, Mm, Wong, Ni, Ikram, Ma, Iotova, V, Irazola, Ve, Ishida, T, Isiguzo, Gc, Islam, M, Islam, Sms, Iwasaki, M, Jackson, Rt, Jacobs, Jm, Jaddou, Hy, Jafar, T, James, K, Jamrozik, K, Janszky, I, Janus, E, Jarvelin, Mr, Jasienska, G, Jelakovic, A, Jelakovic, B, Jennings, G, Jha, Ak, Jiang, Cq, Jimenez, Ro, Jockel, Kh, 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, Laatikainen, T, Lachat, C, Laid, Y, Lam, Th, Landrove, O, Lanska, V, Lappas, G, Larijani, B, Latt, Ts, Le Coroller, G, Bao, Kln, Le, THUY DUNG, Lee, J, Lehmann, N, Lehtimaki, T, Lemogoum, D, Levitt, Ns, Yp, Li, Lilly, Cl, Lim, Wy, Lima-Costa, Mf, Lin, X, Lin, Yt, Lind, L, Lingam, V, Linneberg, A, Lissner, L, Litwin, M, Wc, Lo, Loit, Hm, Lopez-Garcia, E, Lopez, T, Lotufo, Pa, Lozano, Je, Lovrencic, Il, Lukrafka, Jl, Luksiene, D, Lundqvist, A, Lundqvist, R, Lunet, N, Lustigova, M, Luszczki, E, Gs, Ma, Ma, J, Machado-Coelho, Gll, Machado-Rodrigues, Am, Macia, E, Macieira, Lm, Madar, Aa, Maggi, S, Magliano, Dj, Magriplis, E, Mahasampath, G, Maire, B, Majer, M, Makdisse, M, Malekzadeh, F, Malekzadeh, R, Malhotra, R, Mallikharjuna, K, Malyutina, Sk, Maniego, Lv, Manios, Y, Mann, Ji, Mansour-Ghanaei, F, Manzato, E, Marcil, A, Margozzini, P, Marild, Sb, Glavic, Mm, Marques-Vidal, P, Marques, Lp, Marrugat, J, Martorell, R, Mascarenhas, Lp, Matasin, M, Mathiesen, Eb, Mathur, P, Matijasevich, A, Matlosz, P, Matsha, Te, Mavrogianni, C, Mbanya, Jcn, Posso, Ajm, Mcfarlane, Sr, Mcgarvey, St, Mclachlan, S, Mclean, Rm, Mclean, Sb, Mcnulty, Ba, Benchekor, Sm, Medzioniene, J, Mehdipour, P, Mehlig, K, Mehrparvar, Ah, Meirhaeghe, A, Meisinger, C, Montano, Cm, Menezes, Amb, Menon, Gr, Mereke, A, Meshram, Ii, Metspalu, A, Meyer, He, Mi, J, Michels, N, Mikkel, K, Milkowska, K, Miller, Jc, Minderico, Cs, Mini, Gk, Mirjalili, Mr, Mirrakhimov, E, Misigoj-Durakovic, M, Modesti, Pa, Moghaddam, Ss, Mohajer, B, Mohamed, Mk, Mohamed, Sf, Mohammad, K, Mohammadi, Mr, Mohammadi, Z, Mohammadifard, N, Mohammadpourhodki, R, Mohan, V, Mohanna, S, Yusoff, Mfm, Mohebbi, I, Mohebi, F, Moitry, M, Mollehave, Lt, Molnar, D, Momenan, A, Mondo, Ck, Monterrubio-Flores, E, Monyeki, Kdk, Moon, Js, Moosazadeh, M, Moreira, Lb, Morejon, A, Moreno, La, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mostafavi, Sa, Mota, J, Motlagh, Me, Motta, J, Moura-dos-Santos, Ma, Mridha, Mk, Msyamboza, Kp, Tt, Mu, Muhihi, Aj, Muiesan, Ml, Muller-Nurasyid, M, Murphy, N, Mursu, J, Musa, Ki, Milanovic, Sm, Musil, V, Mustafa, N, Nabipour, I, Naderimagham, S, Nagel, G, Naidu, Bm, Najafi, F, Nakamura, H, Namesna, J, Nang, Eek, Nangia, Vb, Narake, S, Ndiaye, Nc, Neal, Wa, Nejatizadeh, A, Nenko, I, Neovius, M, Neuhauser, Hk, Nguyen, Ct, Nguyen, Nd, Nguyen, Qv, Nguyen, Qn, Nieto-Martinez, Re, Niiranen, Tj, Nikitin, Yp, Ninomiya, T, Nishtar, S, Njelekela, Ma, Noale, M, Noboa, Oa, Noorbala, Aa, Norat, T, Nordendahl, M, Nordestgaard, Bg, Noto, D, Nowak-Szczepanska, N, Al Nsour, M, Nunes, B, O'Neill, Tw, O'Reilly, D, Ochimana, C, Oda, E, Odili, An, Oh, K, Ohara, K, Ohtsuka, R, Olie, V, Olinto, Mta, Oliveira, Io, Omar, Ma, Onat, A, Ong, Sk, Ono, Lm, Ordunez, P, Ornelas, R, Ortiz, Pj, Osmond, C, Ostojic, Sm, Ostovar, A, Otero, Ja, Overvad, K, Owusu-Dabo, E, Paccaud, Fm, Padez, C, Pahomova, E, de Paiva, Km, Pajak, A, Palli, D, Palmieri, L, Pan, Wh, Panda-Jonas, S, Panza, F, Paoli, M, Papandreou, D, Park, Sw, Park, S, 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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. M., Hantunen, Sari, Hao, Jie, Hardman, Carla Meneses, Kumar, Rachakulla Hari, Hashemi-Shahri, Seyed Mohammad, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J., He, Yuna, Heier, Margit, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Heshmat, Ramin, Hill, Allan G., Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Holdsworth, Michelle, Homayounfar, Reza, Dinc, Gonul Horasan, Horimoto, Andrea R. V. R., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, Jose Maria, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huisman, Martijn, Husseini, Abdullatif S., Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Wong, Norazizah Ibrahim, Ikram, M. Arfan, Iotova, Violeta, Irazola, Vilma E., Ishida, Takafumi, Isiguzo, Godsent C., Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jaddou, Hashem Y., Jafar, Tazeen, James, Kenneth, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O., Joeckel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J., Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jozwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kajantie, Eero O., Kalmatayeva, Zhanna, Kalpourtzi, Natasa, Kalter-Leibovici, Ofra, Kampmann, Freja B., Kannan, Srinivasan, Karaglani, Eva, Karhus, Line L., Karki, Khem B., Katibeh, Marzieh, Katz, Joanne, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M., Keil, Ulrich, Boker, Lital Keinan, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kemper, Han C. G., Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Jeongseon, Klakk, Heidi, Klimek, Magdalena, Klumbiene, Jurate, Knoflach, Michael, Kolle, Elin, Kolsteren, Patrick, Kontto, Jukka P., Korpelainen, Raija, Korrovits, Paul, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kriaucioniene, Vilma, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Kruger, Herculina S., Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M., Kulaga, Zbigniew, Kumar, R. Krishna, Kurjata, Pawel, Kusuma, Yadlapalli S., Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Le Coroller, Gwenaelle, Khanh Le Nguyen Bao, Le, Tuyen D., Lee, Jeannette, Lee, Jeonghee, Lehmann, Nils, Lehtimaki, Terho, Lemogoum, Daniel, Levitt, Naomi S., Li, Yanping, Lilly, Christa L., Lim, Wei-Yen, Lima-Costa, M. Fernanda, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Lingam, Vijaya, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Lo, Wei-Cheng, Loit, Helle-Mai, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A., Lozano, Jose Eugenio, Lovrencic, Iva Lukacevic, Lukrafka, Janice L., Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lustigova, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Machado-Coelho, George L. L., Machado-Rodrigues, Aristides M., Macia, Enguerran, Macieira, Luisa M., Madar, Ahmed A., Maggi, Stefania, Magliano, Dianna J., Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna, Kodavanti, Malyutina, Sofia K., Maniego, Lynell V., Manios, Yannis, Mann, Jim I., Mansour-Ghanaei, Fariborz, Manzato, Enzo, Marcil, Anie, Margozzini, Paula, Marild, Staffan B., Glavic, Mihalea Marinovic, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Mascarenhas, Luis P., Matasin, Marija, Mathiesen, Ellisiv B., Mathur, Prashant, Matijasevich, Alicia, Matlosz, Piotr, Matsha, Tandi E., Mavrogianni, Christina, Mbanya, Jean Claude N., Mc Donald Posso, Anselmo J., McFarlane, Shelly R., McGarvey, Stephen T., McLachlan, Stela, McLean, Rachael M., McLean, Scott B., McNulty, Breige A., Benchekor, Sounnia Mediene, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisinger, Christa, Mendoza Montano, Carlos, Menezes, Ana Maria B., Menon, Geetha R., Mereke, Alibek, Meshram, Indrapal I., Metspalu, Andres, Meyer, Haakon E., Mi, Jie, Michels, Nathalie, Mikkel, Kairit, Milkowska, Karolina, Miller, Jody C., Minderico, Claudia S., Mini, G. K., Mirjalili, Mohammad Reza, Mirrakhimov, Erkin, Misigoj-Durakovic, Marjeta, Modesti, Pietro A., Moghaddam, Sahar Saeedi, Mohajer, Bahram, Mohamed, Mostafa K., Mohamed, Shukri F., Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Yusoff, Muhammad Fadhli Mohd, Mohebbi, Iraj, Mohebi, Farnam, Moitry, Marie, Mollehave, Line T., Molnar, Denes, Momenan, Amirabbas, Mondo, Charles K., Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K., Moon, Jin Soo, Moosazadeh, Mahmood, Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Moschonis, George, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Andre Moura-dos-Santos, Marcos, Mridha, Malay K., Msyamboza, Kelias P., Mu, Thet Thet, Muhihi, Alfa J., Muiesan, Maria L., Muller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Musa, Kamarul Imran, Milanovic, Sanja Music, Musil, Vera, Mustafa, Norlaila, Nabipour, Iraj, Naderimagham, Shohreh, Nagel, Gabriele, Naidu, Balkish M., Najafi, Farid, Nakamura, Harunobu, Namesna, Jana, Nang, Ei Ei K., Nangia, Vinay B., Narake, Sameer, Ndiaye, Ndeye Coumba, Neal, William A., Nejatizadeh, Azim, Nenko, Ilona, Neovius, Martin, Neuhauser, Hannelore K., Nguyen, Chung T., Nguyen, Nguyen D., Nguyen, Quang V., Quang Ngoc Nguyen, Nieto-Martinez, Ramfis E., Niiranen, Teemu J., Nikitin, Yury P., Ninomiya, Toshiharu, Nishtar, Sania, Njelekela, Marina A., Noale, Marianna, Noboa, Oscar A., Noorbala, Ahmad Ali, Norat, Teresa, Nordendahl, Maria, Nordestgaard, Borge G., Noto, Davide, Nowak-Szczepanska, Natalia, Al Nsour, Mohannad, Nunes, Baltazar, O'Neill, Terence W., O'Reilly, Dermot, Ochimana, Caleb, Oda, Eiji, Odili, Augustine N., Oh, Kyungwon, Ohara, Kumiko, Ohtsuka, Ryutaro, Olie, Valerie, Olinto, Maria Teresa A., Oliveira, Isabel O., Omar, Mohd Azahadi, Onat, Altan, Ong, Sok King, Ono, Lariane M., Ordunez, Pedro, Ornelas, Rui, Ortiz, Pedro J., Osmond, Clive, Ostojic, Sergej M., Ostovar, Afshin, Otero, Johanna A., Overvad, Kim, Owusu-Dabo, Ellis, Paccaud, Fred Michel, Padez, Cristina, Pahomova, Elena, de Paiva, Karina Mary, Pajak, Andrzej, Palli, Domenico, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Panza, Francesco, Paoli, Mariela, Papandreou, Dimitrios, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R., Parsaeian, Mahboubeh, Pasquet, Patrick, Patel, Nikhil D., Pavlyshyn, Halyna, Pecin, Ivan, Pednekar, Mangesh S., Pedro, Joao M., Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C., Peres, Karen G. D. A., Peres, Marco A., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Son Thai Pham, Pichardo, Rafael N., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubio, Pedro, Polasek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Providencia, Rui, Puhakka, Soile E., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Queiroz, Daniel, Tran Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M., Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A., Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, de Wit, Tobias F. Rinke, Ritti-Dias, Raphael M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, Maria, Rodriguez-Villamizar, Laura A., Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L., Rosengren, Annika, Roy, Joel G. R., Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Sandra Ruiz-Betancourt, Blanca, Ruiz-Castell, Maria, Rusakova, Iuliia A., Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmeron, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sans, Susana, Santos, Diana A., Santos, Ina S., Santos, Lelita C., Santos, Maria Paula, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O., Schnohr, Peter, Schoettker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E., Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Servais, Jennifer, Shalnova, Svetlana A., Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., de Moura Silva, Caroline Ramos, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugene, Soderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. A., Sorgjerd, Elin P., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A., Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stoeckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G., Syddall, Holly E., Sylva, Rene Charles, Szklo, Moyses, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B., Taylor, Anne, Taylor, Julie, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. R., Theobald, Holger, Theodoridis, Xenophon, Thinggaard, Mikael, Thomas, Nihal, Thorand, Barbara, Thuesen, Betina H., Timmermans, Erik J., Tjandrarini, Dwi H., Tjonneland, Anne, Toft, Ulla, Tolonen, Hanna K., Tolstrup, Janne S., Topbas, Murat, Topor-Madry, Roman, Jose Tormo, Maria, Tornaritis, Michael J., Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh T. H., Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M., Tulloch-Reid, Marshall K., Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L., Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu M. T., Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M., van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T., Van Herck, Koen, Hoang Van Minh, Van Schoor, Natasja M., van Valkengoed, Irene G. M., van Zutphen, Elisabeth M., Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Verstraeten, Roosmarijn, Victora, Cesar G., Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N., Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, Wanderley Junior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Emmanuel A., Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A., Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C., Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K., Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O., Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Elisa Zapata, Maria, Zaw, Ko Ko, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuniga Cisneros, Julio., School of Medicine, ACS - Diabetes & metabolism, APH - Global Health, Pulmonology, Medical Informatics, Adult Psychiatry, Global Health, APH - Quality of Care, APH - Methodology, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Anesthesiology, Graduate School, and ACS - Heart failure & arrhythmias
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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
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- 2021
4. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
- Author
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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. Solfrizzi, V. Somi, M.H. Sonestedt, E. Song, Y. Sørensen, T.I.A. Sørgjerd, E.P. Jérome, C.S. Soto-Rojas, V.E. Soumaré, A. Sovic, S. Sparboe-Nilsen, B. Sparrenberger, K. Spinelli, A. Spiroski, I. Staessen, J.A. Stamm, H. Stathopoulou, M.G. Staub, K. Stavreski, B. Steene-Johannessen, J. Stehle, P. Stein, A.D. Stergiou, G.S. Stessman, J. Stevanovic, R. Stieber, J. Stöckl, D. Stocks, T. Stokwiszewski, J. Stoyanova, E. Stratton, G. Stronks, K. Strufaldi, M.W. Sturua, L. Suárez-Medina, S. Suka, M. Sun, C.-A. Sundström, J. Sung, Y.-T. Sunyer, J. Suriyawongpaisal, P. Swinburn, B.A. Sy, R.G. Syddall, H.E. Sylva, R.C. Szklo, M. Szponar, L. Tai, E.S. Tammesoo, M.-L. Tamosiunas, A. Tan, E.J. Tang, X. Tanrygulyyeva, M. Tanser, F. Tao, Y. Tarawneh, M.R. Tarp, J. Tarqui-Mamani, C.B. Braunerová, R.T. Taylor, A. Taylor, J. Tchibindat, F. Tebar, W.R. Tell, G.S. Tello, T. Tham, Y.C. Thankappan, K.R. Theobald, H. Theodoridis, X. Thijs, L. Thomas, N. Thuesen, B.H. Tichá, L. Timmermans, E.J. Tjonneland, A. Tolonen, H.K. Tolstrup, J.S. Topbas, M. Topór-Madry, R. Torheim, L.E. Tormo, M.J. Tornaritis, M.J. Torrent, M. Torres-Collado, L. Toselli, S. Touloumi, G. Traissac, P. Tran, T.T.-H. Trichopoulos, D. Trichopoulou, A. Trinh, D.T.H. Trivedi, A. Tshepo, L. Tsigga, M. Tsugane, S. Tuliakova, A.M. Tulloch-Reid, M.K. Tullu, F. Tuomainen, T.-P. Tuomilehto, J. Turley, M.L. Twig, G. Tynelius, P. Tzotzas, T. Tzourio, C. Ueda, P. Ugel, E. Ukoli, F.A.M. Ulmer, H. Unal, B. Usupova, Z. Uusitalo, H.M.T. Uysal, N. Vaitkeviciute, J. Valdivia, G. Vale, S. Valvi, D. van Dam, R.M. Van der Heyden, J. van der Schouw, Y.T. Van Herck, K. Van Minh, H. Van Schoor, N.M. van Valkengoed, I.G.M. Vanderschueren, D. Vanuzzo, D. Varbo, A. Varela-Moreiras, G. Varona-Pérez, P. Vasan, S.K. Vega, T. Veidebaum, T. Velasquez-Melendez, G. Velika, B. Veronesi, G. Verschuren, W.M.M. Victora, C.G. Viegi, G. Viet, L. Villalpando, S. Vineis, P. Vioque, J. Virtanen, J.K. Visser, M. Visvikis-Siest, S. Viswanathan, B. Vladulescu, M. Vlasoff, T. Vocanec, D. Vollenweider, P. Völzke, H. Voutilainen, A. Voutilainen, S. Vrijheid, M. Vrijkotte, T.G.M. Wade, A.N. Wagner, A. Waldhör, T. Walton, J. Wambiya, E.O.A. Bebakar, A.M.W. Mohamud, W.N.W. de Souza Wanderley Júnior, R. Wang, M.-D. Wang, N. Wang, Q. Wang, X. Wang, Y.X. Wang, Y.-W. Wannamethee, S.G. Wareham, N. Weber, A. Wedderkopp, N. Weerasekera, D. Weghuber, D. Wei, W. Weres, A. Werner, B. Whincup, P.H. Widhalm, K. Widyahening, I.S. Wiecek, A. Wilks, R.J. Willeit, J. Willeit, P. Williams, J. Wilsgaard, T. Wojtyniak, B. Wong-McClure, R.A. Wong, A. Wong, J.E. Wong, T.Y. Woo, J. Woodward, M. Wu, F.C. Wu, J. Wu, L.J. Wu, S. Xu, H. Xu, L. Yaacob, N.A. Yamborisut, U. Yan, W. Yang, L. Yang, X. Yang, Y. Yardim, N. Yaseri, M. Yasuharu, T. Ye, X. Yiallouros, P.K. Yoosefi, M. Yoshihara, A. You, Q.S. You, S.-L. Younger-Coleman, N.O. Yusof, S.M. Yusoff, A.F. Zaccagni, L. Zafiropulos, V. Zainuddin, A.A. Zakavi, S.R. Zamani, F. Zambon, S. Zampelas, A. Zamrazilová, H. Zapata, M.E. 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)
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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.
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- 2021
5. Evaluating the accuracy and sensitivity of anthropometric and laboratory variables in diagnosing the liver steatosis and fibrosis in adolescents with non-alcoholic fatty liver disease
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Ali Alamdaran, Bita Abbasi, Farkhonde Razmpour, Azimi Nezhad M, Esmail Zadeh A, Mohsen Nematy, Ali Bahari, Zahra Dehnavi, and Azita Ganji
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Hepatitis ,medicine.medical_specialty ,medicine.diagnostic_test ,business.industry ,medicine.medical_treatment ,Polycystic liver disease ,Fatty liver ,Disease ,Liver transplantation ,medicine.disease ,Gastroenterology ,Fibrosis ,Internal medicine ,medicine ,Steatosis ,business ,Liver function tests - Published
- 2018
6. Selenium supplementation and premature (pre-labour) rupture of membranes: A randomised double-blind placebo-controlled trial
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Tara, F., primary, Rayman, M. P., additional, Boskabadi, H., additional, Ghayour-Mobarhan, M., additional, Sahebkar, A., additional, Yazarlu, O., additional, Ouladan, S., additional, Tavallaie, S., additional, Azimi-Nezhad, M., additional, Shakeri, M. T., additional, Teymoori, M. S., additional, Razavi, B. S., additional, Oladi, M., additional, and Ferns, G., additional
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- 2010
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7. Prevalence of Obesity and Its Association with Socioeconomic Factors in Elderly Iranians from Razavi-Khorasan Province
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Nematy, Mohsen, primary, Sakhdari, Ali, additional, Ahmadi-Moghaddam, Parnian, additional, Aliabadi, Maliheh, additional, Kimiagar, M., additional, Ilaty, A. A., additional, Azimi-Nezhad, M., additional, Shakeri, M. T., additional, Ghayour-Mobarhan, M., additional, Sahebkar, A., additional, and Ferns, G., additional
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- 2009
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8. ANTIBODY TITERS TO HEAT SHOCK PROTEIN 27 ARE ELEVATED IN PATIENTS WITH MYOCARDIAL INFARCTION
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Mouhebati, M., primary, Ghayour-Mobarhan, M., additional, Parizadeh, S., additional, Sahebkar, A., additional, Tavallaie, S., additional, Kazemi-Bajestani, S., additional, Azimi-Nezhad, M., additional, Esmaeili, H., additional, and Ferns, G.A., additional
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- 2008
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9. THE BEST ANTHROPOMETRIC INDEX FOR PREDIC OF HYPERTENSION, DIABETES AND METABOLIC SYNDROME IN IRANIAN ADULT POPULATION
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Safarian, M., primary, Azimi-Nezhad, M., additional, Ghayour-Mobarhan, M., additional, Rajabi-Moghaddam, M., additional, Gholami, A., additional, and Esmailli, H., additional
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- 2008
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10. THE RELATIONSHIP BETWEEN ESTABILISHED CORONARY RISK FACTORS AND SERUM COPPER AND ZINC CONCENTRATIONS IN A LARG PERSIAN POPULATION SAMPLE
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Ghayour-Mobarhan, M., primary, Esmaeili, H., additional, Azimi-Nezhad, M., additional, Shapouri-Moghaddam, A., additional, Parizadeh, S., additional, Safarian, M., additional, Kazemi-Bajestani, S., additional, Khodaei, G., additional, Hosseini, J., additional, and Ferns, G., additional
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- 2008
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11. SERUM LEVEL OFC-REACTIVE PROTEIN IN SUBJECTS WITH METSABOLIC SYNDROME, HYPERTENSION, AND DIABETES TYPE 2 IN IRANIAN SAMPLE POPULATION
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Esmaili, H., primary, Ghayoyr-mobarhan, M., additional, Azimi-Nezhad, M., additional, Dehghani, N., additional, and Alavizadeh, H., additional
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- 2008
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12. THE IMPACT OF SOCIOECONOMIC FACTORS ON THE PREVALENCE OF NEWLY IDENTIFIED HYPERTENSION IN AN IRANIAN POPULATION SAMPLE
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Azimi-Nezhad, M., primary, Ghayour-Mobarhan, M., additional, Esmaeili, H., additional, Parizadeh, S., additional, Yaghootkar, H., additional, and Ferns, G., additional
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- 2008
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13. DIETARY SUPPLEMENTATION OF OMEGA-3 REDUCED ANTIBODY TITERS TO HEAT SHOCK PROTEIN 27 IN METABOLIC SYNDROME SUBJECTS
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Ebrahimi, M., primary, Ghayour-Mobarhan, M., additional, Azimi-Nezhad, M., additional, Shakeri, M., additional, Vejdani, A., additional, Tavallaei, S., additional, Akbarirad, M., additional, Parizadeh, S., additional, and Ferns, G.A., additional
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- 2008
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14. SELENIUM DID NOY SIGNIFICANTLY FLUCTUATE WITH ANGIOGRAPHY DETERMINED CORONARY ARTERY DISAESE IN IRANIAN PATEINTS
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Parizadeh, S., primary, Ghayour-Mobarhan, M., additional, Ghafoori, F., additional, Kazemi-Bajestani, S., additional, Tavallaie, S., additional, Azimi -Nezhad, M., additional, and Ferns, G., additional
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- 2008
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15. Metabolic syndrome: Its prevalence and relationship to socio-economic parameters in an Iranian population
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Azimi Nezhad, M., primary, Ghayour-Mobarhan, M., additional, Parizadeh, S.M.R., additional, Safarian, M., additional, Esmaeili, H., additional, Khodaei, G.H., additional, Kazemi-Bajestani, S.M.R., additional, Hosseini, S.J., additional, Parizadeh, S.M.J., additional, Jooya, M., additional, and Ferns, G.A., additional
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- 2008
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16. PO16-437 SOCIOECONOMIC CONDITIONS AND TYPE 2 DIABETES IN THE KHORASAN PROVINCE OF IRAN
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Azimi Nezhad, M., primary, Ghayour-Mobarhan, M., additional, Parizadeh, M., additional, Safarian, M., additional, Esmaeili, H., additional, Khodaee, G., additional, Hosseini, J., additional, Abasalti, Z., additional, Hasankhany, B., additional, and Ferns, G., additional
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- 2007
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17. PO16-448 COMPARING DIFFERENT DEFINITIONS OF METABOLIC SYNDROME IN IRANIAN POPULATION
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Ghayour-Mobarhan, M., primary, Azimi Nezhad, M., additional, Kazemi Bajestani, S.M., additional, Parizadeh, M.R., additional, Safarian, M., additional, Esmaeili, H., additional, Khodaee, G., additional, Hosseini, J., additional, Abasalti, Z., additional, Moosavi, A.R., additional, and Ferns, G., additional
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- 2007
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18. Determination of prooxidant-antioxidant balance after acute coronary syndrome using a rapid assay: a pilot study.
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Ghayour-Mobarhan M, Alamdari DH, Moohebati M, Sahebkar A, Nematy M, Safarian M, Azimi-Nezhad M, Parizadeh SMR, Tavallaie S, Koliakos G, and Ferns G
- Abstract
The purpose of the current study was to investigate a novel measure of oxidative stress in patients with acute coronary syndrome (ACS) using a pro-oxidant--antioxidant balance (PAB) assay, which is simple and rapid. Blood samples were taken from 94 patients admitted with ACS. Pro-oxidant--antioxidant balance values were determined in the first and second 12 hours after the onset of symptoms and compared with values for 81 age- and sex-matched controls. The mean PAB values in the first and second 12-hour samples of patients were both significantly higher than that of controls (P < .001). Among patients, PAB values were also significantly higher in the second samples compared with the first samples (P < .001). These findings indicate a heightened state of oxidative stress following ACS and suggest that the PAB value may be considered as a cardiovascular risk predictor to estimate the extent of oxidative stress. [ABSTRACT FROM AUTHOR]
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- 2009
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19. Association between Malnutrition and Depression in Elderly People in Razavi Khorasan: A Population Based-Study in Iran.
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Mokhber, N., Majdi, M. R., Ali-Abadi, M., Shakeri, M. T., Kimiagar, M., Salek, R., Moghaddam, P. Ahmadi, Sakhdari, A., Azimi-Nezhad, M., Ghayour-Mobarhan, M., and Soluti, S. S.
- Abstract
Background: To determine the prevalence of malnutrition and depression in free-living elderly people and their relationships (If any) in Razavi Khorasan, Iran 2007. Methods: To evaluate nutritional status, we used Mini Nutritional Assessment (MNA) method in free-living elderly people (n=1565 using cluster sampling, 720 males and 845 females, aged≥ 60 yr) and their relationship to Socio Economic Conditions (SECs). Based on the final scores, our patients were classified into three groups: score 17-23.5 (at risk for malnutrition), score less than 17 (with malnutrition), and score 24-30 (well nourished). To determine the mood status (here depression), we used Geriatric Depression Score (GDS). According to this score our participants turned out to be in two distinct groups: depressed (score ≥8) and non-depressed (score< 8). Results: From the total subjects entered the study (1495), 22.07% were depressed and 11.5% and 44% were malnourished or at risk of malnutrition respectively. In depressed group, the prevalence of malnutrition was 14.5% (48 out of 330) and the prevalence of gat risk of malnutrition was 45.8%, whereas the prevalence of malnutrition and at risk of malnutrition in non-depressed population were 10.6% and 43.3% respectively. From the aforementioned information we have concluded that there is a significant statistical difference between the prevalence of malnutrition in depressed and non-depressed individuals (P= 0.047). Conclusions: With respect to the high rate of vegetative symptoms in elderly depressed individuals, malnutrition would have a higher prevalence in the depressed people. [ABSTRACT FROM AUTHOR]
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- 2011
20. Omega-3 fatty acid supplements improve the cardiovascular risk profile of subjects with metabolic syndrome, including markers of inflammation and auto-immunity
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Ebrahimi, M., Mobarhan, M. Ghayour-, Rezaiean, S., Hoseini, M., Parizade, S.M.R., Farhoudi, F., Hosseininezhad, S.J., Tavallaei, S., Vejdani, A., Azimi-Nezhad, M., Shakeri, M.T., Rad, M.A., Mobarra, N., Kazemi-Bajestani, S.M.R., and Ferns, G.A.A.
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- 2009
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21. Newly detected hypertension in an Iranian population: An epidemiological study
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Azimi-Nezhad, M., Ghayour-Mobarhan, M., Esmaeili, H. A., Parizadeh, S. M. R., Hosseini, S. J., Mohammad Safarian, Parizadeh, S. M. J., Paydar, R., Yaghootkar, H., Sahebkar, A., and Ferns, G.
22. Association between angiotensin II type-1 receptor A1166C polymorphism and the presence of angiographically-defined coronary artery disease in an Iranian population
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Assali, A., Behravan, J., Paydar, R., Mouhebati, M., Hassani, M., Kasaeyan, J., Tatari, F., Tavallaie, S., Sahebkar, A., Oladi, M., Azimi-Nezhad, M., Ghayour-Mobarhan, M., Esmaeily, H. A., and Ferns, G.
23. Prevalence of type 2 diabetes mellitus in Iran and its relationship with gender, urbanisation, education, marital status and occupation
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Azimi-Nezhad, M., Ghayour-Mobarhan, M., Parizadeh, M. R., Mohammad Safarian, Esmaeili, H., Parizadeh, S. M. J., Khodaee, G., Hosseini, J., Abasalti, Z., Hassankhani, B., and Ferns, G.
24. High prevalence of metabolic syndrome in Iran in comparison to France: What are the explanatory components?
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Azimi-Nezhad, M., Herbeth, Siest, G., Esmaili, H., Hosseini, S.J., Ghayour-Mobarhan, M., and Visvikis-Siesta, S.
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- 2011
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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
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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, Carlo M, Barcelo, Alberto, Barkat, Amina, Barros, Aluisio JD, Barros, Mauro Virgilio Gomes, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batista, Rosangela L, Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Lele, Elysee Claude Bika, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Bjorkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boeing, Heiner, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, Joao, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Brinduse, Lacramioara, Brophy, Sinead, Bruno, Graziella, Bueno-de-Mesquita, H Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, de Leon, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gunay, Candido, Ana Paula C, Canete, Felicia, Capanzana, Mario V, Capkova, Nadezda, Capuano, Eduardo, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajus, Jose A, Casanueva, Felipe F, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nish, Rahim, Norsyamlina Che Abdul, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, 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Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Hoang, Van Minh, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Varona-Perez, Patricia, Vasan, Senthil K, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Volzke, Henry, Voutilainen, Ari, Voutilainen, Sari, Vrijheid, Martine, Vrijkotte, Tanja GM, Wade, Alisha N, Wagner, Aline, Waldhor, Thomas, Walton, Janette, Wambiya, Elvis OA, Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, de Souza, Rildo, Junior, Wanderley, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Weber, Adelheid, Wedderkopp, Niels, Weerasekera, Deepa, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Widyahening, Indah S, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yaseri, Mehdi, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilova, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zdrojewski, Tomasz, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zocalo, Yanina, Cisneros, Julio Zuniga, Zuziak, Monika, Faculdade de Ciências da Nutrição e Alimentação, Instituto de Saúde Pública da Universidade do Porto, Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Environnement, Santé, Sociétés (ESS), Centre National de la Recherche Scientifique (CNRS), European Project: 774548, Reproductive Origins of Adult Health and Disease (ROAHD), Rodriguez-Martinez A, Zhou B, Sophiea MK, Bentham J, Paciorek CJ, Iurilli ML, Carrillo-Larco RM, Bennett JE, Di Cesare M, Taddei C, Bixby H, Stevens GA, Riley LM, Cowan MJ, Savin S, 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Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Capková N, Capuano E, Capuano V, Cardol M, Cardoso VC, Carlsson AC, Carmuega E, Carvalho J, Casajús JA, Casanueva FF, Celikcan E, Censi L, Cervantes-Loaiza M, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Che Abdul Rahim N, 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 DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Confortin SC, Cooper C, Coppinger TC, Corpeleijn E, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Csilla S, Cucu AM, Cui L, Cureau FV, D'Arrigo G, d'Orsi E, Dacica L, Dal Re Saavedra MÁ, Dallongeville J, Damasceno A, Damsgaard CT, Dankner R, Dantoft TM, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, DeGennaro V, Jr, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Deren K, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Dika Z, Djalalinia S, Djordjic V, Do HT, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante CA, Duboz P, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dushpanova A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Enguerran M, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farrugia Sant'Angelo V, Farzadfar F, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fink G, Fischer K, Föger B, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, 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 SP, Gaspoz J-M, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea O-F, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, Goncalves Cordeiro da Silva B, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando M-E, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøholt EK, 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JM, Ibrahim MM, Ibrahim Wong N, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin M-R, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel K-H, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jovic DP, Józwiak JJ, Juolevi A, Jurak G, Jurca Simina I, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kanala KR, Kannan S, Kapantais E, Karki KB, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HC, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw K-T, Kheiri B, Kheradmand M, Khosravi A, Khouw IM, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim HC, Kim J, Kindblom JM, 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 VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Krtalic B, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La QN, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou C-P, Landais E, Lanska V, Lappas G, Larijani B, Latt TS, Lauria L, Lazo-Porras M, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee J, Lee PH, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Liivak M, Lilly CL, Lim W-Y, Lima-Costa MF, Lin H-H, Lin X, Lin Y-T, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Liu L, Lo W-C, Loit H-M, Long KQ, Lopes L, Lopes O, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lunogelo C, Lustigová M, Luszczki E, Ma G, Ma J, Ma X, Machado-Coelho GL, Machado-Rodrigues AM, Machi S, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magnacca S, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Mäki P, Malekzadeh F, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Margozzini P, Markaki A, Markey O, Markidou Ioannidou E, Marques-Vidal P, Marques LP, Marrugat J, Martin-Prevel Y, Martin R, Martorell R, Martos E, Marventano S, Mascarenhas LP, Masoodi SR, Mathiesen EB, Mathur P, Matijasevich A, Matsha TE, Mavrogianni C, Mazur A, Mbanya JCN, McFarlane SR, McGarvey ST, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GB, Menzano MT, Mereke A, Meshram II, Metspalu A, Mi J, Michaelsen KF, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Miquel JF, Mirjalili MR, Mirkopoulou D, Mirrakhimov E, Mišigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monroy-Valle M, Monterrubio-Flores E, Monyeki KDK, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin SN, Mortensen EL, Moschonis G, Mossakowska M, Mostafa A, Mota-Pinto A, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musa KI, Music Milanovic S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Nauck M, Neal WA, Nejatizadeh A, Nelis K, Nelis L, Nenko I, Neovius M, Nervi F, Nguyen CT, Nguyen D, Nguyen QN, Nieto-Martínez RE, Nikitin YP, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Nogueira H, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoglu I, Nurk E, O'Neill TW, O'Reilly D, Obreja G, Ochimana C, Ochoa-Avilés AM, Oda E, Oh K, Ohara K, Ohlsson C, Ohtsuka R, Olafsson Ö, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pagkalos I, Pahomova E, Paiva KMD, 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 WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pednekar MS, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres MA, Pérez-Farinós N, Pérez CM, Peterkova V, Peters A, Petersmann A, Petkeviciene J, Petrauskiene A, Pettenuzzo E, Peykari N, Pham ST, Pichardo RN, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Poh BK, Pohlabeln H, 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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 R.V., Rosengren A., Rouse I., Roy J.G., Rubinstein A., Ruhli F.J., Ruidavets J.-B., Ruiz-Betancourt B.S., Ruiz Moreno E., Rusakova I.A., Russell Jonsson K., Russo P., Rust P., Rutkowski M., Sabanayagam C., Sacchini E., Sachdev H.S., Sadjadi A., Safarpour A.R., Safi S., Safiri S., Saidi O., Saki N., Salanave B., Salazar Martinez E., Salmeron D., Salomaa V., Salonen J.T., Salvetti M., Samoutian M., Sanchez-Abanto J., Sandjaja, Sans S., Santa Marina L., Santos D.A., Santos I.S., Santos L.C., Santos M.P., Santos O., Santos R., Santos Sanz 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., Schaffrath Rosario A., Schargrodsky H., Schienkiewitz A., Schindler K., Schipf S., Schmidt C.O., Schmidt I.M., Schnohr P., Schottker B., Schramm S., Schroder H., Schultsz C., Schutte A.E., Sebert S., Sein A.A., Selamat R., Sember V., Sen A., Senbanjo I.O., Sepanlou S.G., Sequera V., Serra-Majem L., Servais J., Sevcikova 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., Shin Y., 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., Sjoberg A., Sjostrom M., Skodje G., Slowikowska-Hilczer J., Slusarczyk P., Smeeth L., So H.-K., Soares F.C., Sobek G., Sobngwi E., Sodemann M., Soderberg S., Soekatri M.Y., Soemantri A., Sofat R., Solfrizzi V., Somi M.H., Sonestedt E., Song Y., Sorgjerd E.P., Sossa Jerome C., Soto-Rojas V.E., Soumare A., Sovic S., Sparboe-Nilsen B., Sparrenberger K., Spinelli A., Spiroski I., Staessen J.A., Stamm H., Stathopoulou M.G., Staub K., Stavreski B., Steene-Johannessen J., Stehle P., Stein A.D., Stergiou G.S., Stessman J., Stevanovic R., Stieber J., Stockl D., Stocks T., Stokwiszewski J., Stoyanova E., Stratton G., Stronks K., Strufaldi M.W., Sturua L., Suarez-Medina R., Suka M., Sun C.-A., Sundstrom J., Sung Y.-T., Sunyer J., Suriyawongpaisal P., Swinburn B.A., Sy R.G., Syddall H.E., Sylva R.C., Szklo M., Szponar L., Tai E.S., Tammesoo M.-L., Tamosiunas A., Tan E.J., Tang X., Tanser F., Tao Y., Tarawneh M.R., Tarp J., Tarqui-Mamani C.B., Taxova Braunerova R., Taylor A., Taylor J., Tchibindat F., Tebar W.R., Tell G.S., Tello T., Thankappan K.R., Theobald H., Theodoridis X., Thijs L., Thomas N., Thuesen B.H., Ticha L., Timmermans E.J., Tjonneland A., Tolonen H.K., Tolstrup J.S., Topbas M., Topor-Madry R., Torheim L.E., Tormo M.J., Tornaritis M.J., Torrent M., Torres-Collado L., Toselli S., Traissac P., Tran T.T.-H., Trichopoulos D., Trichopoulou A., Trinh O.T., Trivedi A., Tshepo L., Tsigga M., Tsugane S., Tuliakova A.M., Tulloch-Reid M.K., Tullu F., Tuomainen T.-P., Tuomilehto J., Turley M.L., Tynelius P., Tzotzas T., Tzourio C., Ueda P., Ugel E., Ukoli F.A., Ulmer H., Unal B., Usupova Z., Uusitalo H.M., Uysal N., Vaitkeviciute J., Valdivia G., Vale S., Valvi D., van Dam R.M., Van der Heyden J., van der Schouw Y.T., Van Herck K., Van Minh H., van Valkengoed I.G., Vanderschueren D., Vanuzzo D., Varbo A., Varela-Moreiras G., Varona-Perez P., Vasan S.K., Vega T., Veidebaum T., Velasquez-Melendez G., Velika B., Veronesi G., Verschuren W.M., Victora C.G., Viegi G., Viet L., Villalpando S., Vineis P., Vioque J., Virtanen J.K., Visser M., Visvikis-Siest S., Viswanathan B., Vladulescu M., Vlasoff T., Vocanec D., Volzke H., Voutilainen A., Voutilainen S., Vrijheid M., Vrijkotte T.G., Wade A.N., Wagner A., Waldhor T., Walton J., Wambiya E.O., Wan Bebakar W.M., Wan Mohamud W.N., Wanderley Junior R.D.S., Wang M.-D., Wang N., Wang Q., Wang X., Wang Y.X., Wang Y.-W., Wannamethee S.G., Wareham N., Weber A., Wedderkopp N., Weerasekera D., Weghuber D., Wei W., Weres A., Werner B., Whincup P.H., Widhalm K., Widyahening I.S., Wiecek A., Wilks R.J., Willeit J., Willeit P., Williams J., Wilsgaard T., Wojtyniak B., Wong-McClure R.A., Wong A., Wong J.E., Wong T.Y., Woo J., Woodward M., Wu F.C., Wu J., Wu L.J., Wu S., Xu H., Xu L., Yaacob N.A., Yamborisut U., Yan W., Yang L., Yang X., Yang Y., Yardim N., Yaseri M., Yasuharu T., Ye X., Yiallouros P.K., Yoosefi M., Yoshihara A., You Q.S., You S.-L., Younger-Coleman N.O., Yusof S.M., Yusoff A.F., Zaccagni L., Zafiropulos V., Zakavi S.R., Zamani F., Zambon S., Zampelas A., Zamrazilova H., Zapata M.E., Zargar A.H., Zaw K.K., Zdrojewski T., Zeljkovic Vrkic T., 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., Zocalo Y., Zuniga Cisneros J., Zuziak M., and Ezzati M.
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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
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- 2020
26. Association Between Metabolic Syndrome and Health-Related Quality of Life in Older Adults: Findings from the IRanian Longitudinal Study on Ageing.
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Gholami A, Doustmohammadian A, Shamshirgaran SM, Aminisani N, Azimi-Nezhad M, Abasi H, and Hariri M
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- Humans, Male, Female, Aged, Iran epidemiology, Longitudinal Studies, Middle Aged, Cross-Sectional Studies, Health Status, Aged, 80 and over, Prospective Studies, Mental Health, Surveys and Questionnaires, Metabolic Syndrome epidemiology, Metabolic Syndrome psychology, Metabolic Syndrome diagnosis, Quality of Life, Aging psychology
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Objectives: There are some studies without consensus on the association between metabolic syndrome (MetS) and health-related quality of life (HRQoL) and few studies among elderly participants; therefore, the aim of this study is evaluating the association between MetS and HRQoL between elderly participants after adjusting for possible confounding factors. Methods: A cross-sectional analysis was conducted with the data from baseline phase of the IRanian Longitudinal Study on Ageing. The MetS diagnosis was conducted based on the National Cholesterol Education Program Adult Treatment Panel III guidelines. The participants were 3452 subjects aged ≥60 years with and without MetS. The Prospective Epidemiological Research Studies in Iran version of the SF-12 questionnaire was used to examine subjects' perspectives on their well-being and general health level. The association between MetS and HRQoL was evaluated through multivariable linear regression model after adjusting for possible covariates. Results: MetS independently had an inverse association with subscales of HRQoL including physical functioning, physical problems, general health, social functioning, and emotional problems, even after fully adjusting for studied confounding factors. An inverse association was also observed between MetS and both mental component summary and physical component summary in the fully adjusted model. Conclusion: Older adults with MetS had a relatively worse physical and mental HRQoL in comparison with individuals without MetS. Independent of any underlying factors, the inverse association of MetS with HRQoL emphasizes the necessity of routine screening and treatment of MetS in older populations.
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- 2024
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27. TLR signaling pathway and the effects of main immune cells and epigenetics factors on the diagnosis and treatment of infertility and sterility.
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Babaei K, Azimi Nezhad M, Sedigh Ziabari SN, Mirzajani E, Mozdarani H, Sharami SH, Farzadi S, Mirhafez SR, Naghdipour Mirsadeghi M, Norollahi SE, Saadatian Z, and Samadani AA
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Recurrent pregnancy loss (RPL), often known as spontaneous miscarriages occurring two or more times in a row, is a reproductive disease that affects certain couples. The cause of RPL is unknown in many cases, leading to difficulties in therapy and increased psychological suffering in couples. Toll-like receptors (TLR) have been identified as crucial regulators of inflammation in various human tissues. The occurrence of inflammation during parturition indicates that Toll-like receptor activity in tissues related to pregnancy may play a crucial role in the onset and continuation of normal function, as well as in various pregnancy complications like infection-related preterm. TLRs or their signaling molecules may serve as effective therapeutic targets for inhibiting premature activity. At the maternal-fetal interface, TLRs are found in both immune and non-immune cells, such as trophoblasts and decidual cells. TLR expression patterns are influenced by the phases of pregnancy. In this way, translational combinations like epigenetics, have indicated their impact on the TLRs.Importantly, abnormal DNA methylation patterns and histone alterations have an impressive performance in decreasing fertility by influencing gene expression and required molecular and cellular activities which are vital for a normal pregnancy and embryonic process. TLRs, play a central duty in the innate immune system and can regulate epigenetic elements by many different signaling pathways. The potential roles of TLRs in cells, epigenetics factors their ability to identify and react to infections, and their place in the innate immune system will all be covered in this narrative review essay., 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., (© 2024 The Authors.)
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- 2024
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28. Short-term Side Effects of COVID-19 Vaccines (Astrazeneca, Sputnik-V, and Sinopharm) in Health Care Workers: A Cross-Sectional Study in Iran.
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Azimi-Nezhad M, Gholami A, Taghiabadi E, and Ghodsi H
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Background: The occurrence of side effects of vaccines plays an important role in their acceptance by people. Therefore, the aim of this study was to evaluate the side effects of COVID-19 vaccines (Sputnik-V, AstraZeneca, and Sinopharm) in Neyshabur health care workers (HCWs). Methods: A cross-sectional study was performed to evaluate the side effects of COVID-19 vaccines among the HCWs of the Neyshabur University of Medical Sciences from July 31, 2021, to September 6, 2021, by using a self-report checklist. We sent our checklist via an internet link to collect data such as demographic data of participants, previous COVID-19 infection (PCR+), vaccine information and side effects of vaccines. Mean, median and standard deviation were used to determine descriptive statistics and a logistic regression model was also used to determine the relationship between the type of vaccine and its side effects. Results: 317 participants filled out the checklist; among them 47% (N= 149), 21.14% (N= 67), and 31.86% (N= 101) have been vaccinated with Sputnik-V, AstraZeneca, and Sinopharm, respectively. The percentage of side effects after the first dose was 62.15% (N= 197). The Percentage of local side effects was 76% (N= 241) and systemic side effects were 29.36% (N= 95). The most common side effects in all three vaccines were injection site pain (75.08%, N= 240), muscle pain (62.46%, N=198) and headache (52.05%, N=165). Also, the odds ratio of injection site pain, chill and sweating in those who received the AstraZeneca vaccine was 3.9(95% CI, 1.7-9.3), 3.7 (95% CI, 1.8-7.3), and 3.2 (95% CI, 1.7-63), of those who received the Sputnik V vaccine ( p ≤ 0.001). Conclusion: The most common side effects among our participants were injection site pain, muscle pain, and headache. Most of the post-vaccination side effects are mild to moderate in severity and self-limited. Reported side effects were more common in recipients with AstraZeneca than in those with Sputnik-V and Sinopharm., (© 2022 Iran University of Medical Sciences.)
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- 2022
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29. Heavy metal analysis in of indoor and outdoor dust extracts and cytotoxicity evaluation and inflammation factors on lung, gastric and skin cell lines.
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Naimabadi A, Ghasemi A, Mohtashami M, Saeidi J, Bakaeian M, Haddad Mashadrizeh A, Azimi-Nezhad M, and Mohammadi AA
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Dust particles (DPs) are one of the most important public health concerns in the urban environment. The presence of heavy metals (HMs) on the surface of DPs might increase the health risk of exposure to the DPs. Accordingly, The purpose of this study was to examine the content of HMs in the outdoor and indoor DPs in Neyshabur city and assess the cytotoxic effects of DPs exposure on lung, gastric, and skin cell lines. To this end, the city was divided into three areas, high-traffic, medium-traffic, and low-traffic (rural). The average concentration of the HMs in the indoor DPs were as follows, 655.5 μg g-1 for Zn, 114.6 μg g-1 for Cu, 77.7 μg g-1 for Cr, 108.6 μg g-1 for Ni, 52 μg g-1 for Pb, 12 μg g-1 for Co, and 3.3 μg g-1 for Cd, while the average concentration of Zn, Cu, Cr, Ni, Pb, Co, Cd in the outdoor DPs were 293.7 μg g-1, 200.6 μg g-1, 100.7 μg g-1, 68.4 μg g-1, 44.7 μg g-1, 18.6 μg g-1, 0.25 μg g-1, respectively. A higher concentration of HMs, as well as cytotoxicity, were revealed in the indoor samples compared to outdoor ones. The degree of cytotoxicity of DPs collected from high-traffic areas was higher than that of low and medium-traffic ones. In addition, treatment of AGS and L929 cells with indoor dust samples induced the expression level of inflammatory agents such as TNFα, IL6, and, CYP1A1 genes more than in outdoor dust samples (P < 0.05). Briefly, a higher level of HMs concentration and cytotoxicity effect on the given cell lines was observed in the samples taken from indoor environments and high-traffic areas., Competing Interests: The authors declare no competing interests., (© 2022 The Author(s).)
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- 2022
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30. Association between PTCH1 and RAD54B Single-Nucleotide Polymorphisms and Non-syndromic Orofacial Clefts in the Northeast Population of Iran.
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Morvaridi Farimani R, Azimi-Nezhad M, KhorramKhorshid HR, Ebadifar A, Tohidkhah S, Jafarian Z, Kamali K, Nazari Z, and Ebrahimzadeh-Vesal R
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Background: Non-Syndromic Cleft Lip with or without cleft Palate (NSCL/P) is a common developmental disorder of the head and neck with a multifactorial etiology. The current study aimed to evaluate the potential association of PTCH1 (rs10512248) and RAD54B (rs12681366) polymorphisms with NSCL/P in the Northeast Iranian population., Methods: In the present study, blood samples were taken from 122 subjects with NSCL/P and 161 healthy controls. Polymerase Chain Reaction (PCR) followed by Restriction Fragment Length Polymorphism (RFLP) were used to conduct genotyping of single-nucleotide polymorphisms., Results: Although differences were observed between cases and controls in rs10512248 and rs12681366, our data did not support a significant association of these polymorphisms with NSCL/P in our population., Conclusion: Our findings suggest that polymorphisms of rs10512248 and rs12681366 may not be potential risk factors for NSCL/P in the Northeast Iranian population due to the multifactorial and multiethnicity characteristics of some genes., (Copyright© 2022 Avicenna Research Institute.)
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- 2022
31. Metabolic Syndrome and Body Composition Among People Aged 50 Years and Over: Results from The Neyshabur Longitudinal Study on Ageing (NeLSA).
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Azimi-Nezhad M, Aminisani N, Ghasemi A, Farimani AR, Khorashadizadeh F, Mirhafez SR, Hyde M, and Shamshirgaran SM
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There are few studies regarding body composition and metabolic syndrome (MetS) association in older adults . To evaluate the association between MetS and body composition indices in a large-scale population of subjects with an age of 50 and up . This study was based on the data from Neyshabur Longitudinal Study on Ageing (NeLSA) in a total of 7462 people of Neyshabur city in IRAN. The best cut-off scores and AUC value of body composition variables for having association with likelihood of MetS were determined by using a receiver operating curve analysis. Each unit increase in the Waist/Hip ratio, the odds of having MetS increase 3-6 times (OR: 4.937, 95%CI: 3.930, 6.203 in men; OR: 3.322, 95%CI: 2.259, 4.884 in women). In addition, in the case of BMI (OR: 1.256, 95% Cl: 1.226, 1.286 in men; OR: 1.104, 95% Cl: 1.086, 1.121 in women) and BFM (OR: 1.119, 95% Cl: 1.105, 1.133 in men; OR: 1.050, 95% Cl: 1.041, 1.060 in women), the chance of having MetS increases with increasing these variables. Totally, BMI and BFM showed the best AUC values. The optimal cut-off values for BMI in men was 26.45 and in women was 27.35 and for BFM in men was 23.35 and in women was 26.85. These results suggest that adiposity measures such as BMI and BFM are associated with likelihood of having MetS in subjects with an age of 50 and up, and that avoiding high adiposity is important to prevent MetS incidence., Competing Interests: Conflict of interestThe authors declare that they have no competing interests., (© The Author(s), under exclusive licence to Association of Clinical Biochemists of India 2021.)
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- 2022
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32. Cohort Profile: The IRanian Longitudinal Study on Ageing (IRLSA): the first comprehensive study on ageing in Iran.
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Aminisani N, Azimi-Nezhad M, Shamshirgaran SM, Mirhafez SR, Borji A, Poustchi H, Sezavar SH, Ansarin K, Kolahi S, Javadpor A, Rezaei A, Hooshmand E, Maroufi N, Tabaei S, Eghtesad S, Hyde M, Kenny RA, Raina P, Stephens C, and Malekzadeh R
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- Cohort Studies, Humans, Iran epidemiology, Longitudinal Studies, Aging
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- 2022
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33. Identification of a new splice-acceptor mutation in HFM1 and functional analysis through molecular docking in nonobstructive azoospermia.
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Saebnia N, Ebrahimzadeh-Vesal R, Haddad-Mashhadrizeh A, Gholampour-Faroji N, Schinzel A, Neshati Z, and Azimi-Nezhad M
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- Adenosine Diphosphate metabolism, DNA Helicases genetics, Humans, Male, Molecular Docking Simulation, Mutation genetics, Testis metabolism, Azoospermia diagnosis
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Purpose: To investigate the genetic cause of nonobstructive azoospermia (NOA)., Methods: We performed whole exome sequencing (WES) on the proband who had three relatives suffering from NOA. We used a list of candidate genes which have high expression level in testis and their mutations have been reported in NOA. Sanger sequencing verified the identified variant and its structural and functional consequence was evaluated by protein three-dimensional (3D) structure prediction and protein-ligand docking., Results: WES revealed a novel splice-acceptor mutation (c.1832-2A>T) in helicase for meiosis 1 (HFM1) gene, which co-segregated with the NOA in this family. 3D structural models were generated and verified. Molecular docking indicated that the c.1832-2A>T mutation affects not only the ADP binding residues but also the hydrogen bond interactions. The ADP binding site will be lost in the mutant protein, potentially causing defective crossover and synapsis., Conclusion: We report that the c.1832-2A>T mutation is the likely cause of NOA in the family studied. Regarding that many reported NOA genes are involved in the formation of crossovers and synapsis and have critical roles in the production of germ cells, we suggest that such genes should be considered for screening of infertility among large cohorts of infertile individuals., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2022
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34. Sex-specific prevalence of metabolic syndrome in older adults: results from the Neyshabur longitudinal study on aging, Iran.
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Azimi-Nezhad M, Aminisani N, Ghasemi A, Farimani AR, Khorashadizadeh F, Mirhafez SR, Hyde M, and Shamshirgaran SM
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Purpose: The prevalence of metabolic syndrome (MetS) and associated diseases grows as the population ages. This study aimed to investigate sex differences in the prevalence of MetS and its components among people aged 50 years and older in Iran., Methods: Data were drawn from the Neyshabur Longitudinal Study on Ageing (NeLSA), which is an ageing component of the Prospective Epidemiological Research Studies in IraAn (PERSIAN). The NCEP ATP III and IDF criteria were used to identify the prevalence of MetS among 3383 men and 3873 women aged 50 years and older. Sociodemographic information, lifestyle and clinical factors were collected via an interview-based questionnaire. Weight and height, waist circumferences and blood pressure were measured. Laboratory measures such as fasting blood sugar, triglycerides and high-density cholesterol were also assessed., Results: The overall prevalence of the MetS according to the NCEP ATP III and IDF definitions were 45% and 47%, respectively. The prevalence of the MetS in men and women was 37% and 63% according to the NCEP ATP III definition, 33% and 67% by the IDF definition, respectively . The prevalence of MetS components was significantly higher in women than in men., Conclusion: In the current study, the prevalence of MetS and its components was significantly higher among women than men. We also observed good concordance between IDF and NCEP ATP III criteria., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© Springer Nature Switzerland AG 2022.)
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- 2022
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35. Lactobacillus bulgaricus and Lactobacillus plantarum improve diabetic wound healing through modulating inflammatory factors.
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Mohtashami M, Mohamadi M, Azimi-Nezhad M, Saeidi J, Nia FF, and Ghasemi A
- Subjects
- Animals, Cell Survival drug effects, Cells, Cultured, Diabetes Mellitus metabolism, Humans, Inflammation metabolism, Interleukin-10, Interleukin-1beta metabolism, Mice, Rats, Rats, Wistar, Transforming Growth Factor beta metabolism, Tumor Necrosis Factor-alpha metabolism, Diabetes Mellitus drug therapy, Inflammation drug therapy, Lactobacillus delbrueckii chemistry, Lactobacillus plantarum chemistry, Probiotics pharmacology, Wound Healing drug effects
- Abstract
Probiotics are nonpathogenic bacterial strains that exert beneficial effects on the host. Previous studies have shown that topical use of some strains of probiotic bacteria have good effects on the healing of cutaneous wounds. In the current study, the wound healing potentials of bacterial probiotics on diabetic cutaneous wounds were evaluated. The effects of probiotics on migration, the viability of fibroblasts, and macrophage proliferation were measured through using wound healing assay, methylthiazol tetrazolium assay, and bromodeoxyuridine, respectively. In this regard, in vivo diabetic wound healing experiments in Wistar rats following treatment with nontoxic concentrations of Lactobacillus bulgaricus and Lactobacillus plantarum were conducted. The histopathological and gene expression analyses were performed following removal of wound sites 3, 7, and 14 days postwounding. Results showed that treatment with probiotics accelerated the healing process of diabetic wounds and modulated the inflammatory cells in wound sites during a 14-day period postwounding. The altered mRNA levels of inflammatory cytokines were observed in wound sites following treatment with probiotics. The findings of the current study reveal that L. bulgaricus and L. plantarum could improve the healing of diabetic wounds via regulation of inflammation., (© 2020 International Union of Biochemistry and Molecular Biology, Inc.)
- Published
- 2021
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36. A multi-centre survey on hospital malnutrition: result of PNSI study.
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Poudineh S, Shayesteh F, Kermanchi J, Haghdoost AA, Torabi P, Pasdar Y, Azimi-Nezhad M, Safarian M, Hajifaraji M, Eslami-Hasan-Abadi S, Pournik O, Barkhidarian B, and Norouzy A
- Subjects
- Adolescent, Adult, Aged, Cross-Sectional Studies, Hospitals, Humans, Length of Stay, Male, Middle Aged, Nutrition Surveys, Nutritional Status, Prevalence, Young Adult, Malnutrition epidemiology, Nutrition Assessment
- Abstract
Background: Disease-related malnutrition is associated with adverse outcomes such as increased rates of morbidity and mortality, prolonged hospital stay, and extra costs of health care. This study was conducted to assess nutritional status among patients and to determine the risk factors for malnutrition in Iran university f., Methods: Persian Nutritional Survey In Hospitals (PNSI) was a cross-sectional study that conducted in 20 university hospitals across Iran. All the patients with age range of 18 to 65 years, who were admitted or discharged, were assessed by subjective global assessment (SGA)., Results: In total, 2109 patients were evaluated for malnutrition. Mean values of age and body mass index were 44.68 ± 14.65 years and 25.44 ± 6.25 kg/m
2 , respectively. Malnutrition (SGA-B & C) was identified in 23.92% of the patients, 26.23 and 21% of whom were among the admitted and discharged patients, respectively. The highest prevalence of malnutrition was in burns (77.70%) and heart surgery (57.84%) patients. Multivariate analysis presented male gender (OR = 1.02, P < 0.00), malignant disease (OR = 1.40, P < 0.00), length of hospital stay (OR = 1.20, P < 0.00), and polypharmacy (OR = 1.06, P < 0.00) as independent risk factors for malnutrition. Malnutrition was not associated with age (P = 0.10)., Conclusion: This study provides an overall and comprehensive illustration of hospital malnutrition in Iran university hospitals, finding that one out of four patients were malnourished; thus, appropriate consideration and measures should be taken to this issue., (© 2021. The Author(s).)- Published
- 2021
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37. Impact of Buprenorphine on Learning and Memory Ability, Oxidative Status and Inflammation in the Hippocampus of Rats.
- Author
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Samini M, Farkhondeh T, Azimi-Nezhad M, and Samarghandian S
- Subjects
- Animals, Hippocampus, Inflammation drug therapy, Male, Maze Learning, Oxidative Stress, Rats, Rats, Wistar, Buprenorphine pharmacology, Memory
- Abstract
Background: Buprenorphine (BUP), a "synthetic derivative of the opioid alkaloid thebaine", may be associated with cellular damage in the central nervous system., Aims: This study was designed to investigate the effects of low and high doses of BUP on oxidative and inflammatory indices in the hippocampus and learning and memory behavior in an animal model., Objective: The association between BUP administration and oxidative and inflammatory damage and also learning and memory impairment is not clear., Methods: For this reason, twenty-four male Wistar rats were randomly allocated into one control and two BUP-treated groups (0.3 and 1 mg/kg, SC), (n=8, for each group). After 4 weeks, learning and memory abilities were assessed by using Y-maze test. Then, oxidative stress indices including glutathione (GSH), malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GPx) and catalase (CAT) were assessed in the serum and hippocampus of each animal by using spectrophotometer. Inflammatory parameters such as tumor necrotic factor-α (TNF-α), interleukin- 6 (IL-6), and interleukin-1β (IL-1β) were also measured in the serum and hippocampus of rats by using ELISA., Results: The present findings indicated that the memory and learning time was lengthened in BUP (1mg/kg)-treated rats versus control animals (p<0.05). Additionally, it was observed that BUP (1 mg/kg) significantly increased the serum and hippocampal levels of MDA and TNF-α and also decreased GSH levels versus the control group (p< 0.05)., Conclusion: The results of the present study revealed that BUP may cause learning and memory dysfunction by inducing oxidative stress and inflammation in the hippocampus., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
- Published
- 2021
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38. A Novel Splice Site Variant in the LDLRAP1 Gene Causes Familial Hypercholesterolemia
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Ahangari N, Sahebkar A, Azimi-Nezhad M, Ghazizadeh H, Moohebati M, Ebrahim M, Esmaeili H, Ferns GA, Pasdar A, and Ghayour Mobarhan M
- Subjects
- Adolescent, Adult, Base Sequence, Chromosome Segregation, Female, Humans, Male, Middle Aged, Pedigree, Pharmacogenetics, Young Adult, Adaptor Proteins, Signal Transducing genetics, Hyperlipoproteinemia Type II genetics, RNA Splice Sites genetics
- Abstract
Background: familial hypercholesterolemia (FH), a hereditary disorder, is caused by pathogenic variants in the LDLR, APOB, and PCSK9 genes. This study has assessed genetic variants in a family, clinically diagnosed with FH., Methods: A family was recruited from MASHAD study in Iran with possible FH based on the Simon Broom criteria. The DNA sample of an affected individual (proband) was analyzed using whole exome sequencing, followed by bioinformatics and segregation analyses., Results: A novel splice site variant (c.345-2A>G) was detected in the LDLRAP1 gene, which was segregated in all affected family members. Moreover, HMGCR rs3846662 g.23092A>G was found to be homozygous (G/G) in the proband, probably leading to reduced response to simvastatin and pravastatin., Conclusion: LDLRAP1 c.345-2A>G could alter the phosphotyrosine-binding domain, which acts as an important part of biological pathways related to lipid metabolism.
- Published
- 2021
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39. Roles of Nrf2 in Gastric Cancer: Targeting for Therapeutic Strategies.
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Farkhondeh T, Pourbagher-Shahri AM, Azimi-Nezhad M, Forouzanfar F, Brockmueller A, Ashrafizadeh M, Talebi M, Shakibaei M, and Samarghandian S
- Subjects
- Biomarkers, Tumor metabolism, Drug Resistance, Neoplasm, Humans, Stomach Neoplasms metabolism, Stomach Neoplasms therapy, NF-E2-Related Factor 2 physiology, Stomach Neoplasms physiopathology
- Abstract
Nuclear Factor Erythroid 2-Related Factor 2 (Nrf2) is a specific transcription factor with potent effects on the regulation of antioxidant gene expression that modulates cell hemostasis under various conditions in tissues. However, the effects of Nrf2 on gastric cancer (GC) are not fully elucidated and understood. Evidence suggests that uncontrolled Nrf2 expression and activation has been observed more frequently in malignant tumors, including GC cells, which is then associated with increased antioxidant capacity, chemoresistance, and poor clinical prognosis. Moreover, Nrf2 inhibitors and the associated modulation of tumor cell redox balance have shown that Nrf2 also has beneficial effects on the therapy of various cancers, including GC. Based on previous findings on the important role of Nrf2 in GC therapy, it is of great interest to scientists in basic and clinical tumor research that Nrf2 can be active as both an oncogene and a tumor suppressor depending on different background situations.
- Published
- 2021
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40. Possible Potential Effects of Honey and Its Main Components Against Covid-19 Infection.
- Author
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Abedi F, Ghasemi S, Farkhondeh T, Azimi-Nezhad M, Shakibaei M, and Samarghandian S
- Abstract
Coronavirus disease 2019 (COVID-19) is a viral pneumonia that is spreading rapidly worldwide. The main feature of this disease is a severe acute respiratory syndrome and caused by coronavirus 2 (SARS-CoV-2). There are several unknowns about the pathogenesis and therapeutically treatment of COVID-19 infection. In addition, available treatment protocols have not been effective in managing COVID-19 infection. It is proposed that natural anti-oxidants such as lemon, green tea, saffron, curcuma longa, etc. with high flavonoids like safranal, crocin, crocetin, catechins, resveratrol, calebin A, curcumin have therapeutic potential against viral infections. In this context, honey and its main components are being investigated as an option for patients with COVID-19. The present study may indicate that honey and its main components inhibit the entry of the virus into the host cell and its replication as well as modulate the inflammatory cascade. This review provides basic information for the possible potential effects of honey and its main components for fighting with SARS-CoV-2., Competing Interests: Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Declaration of Conflicting Interests: The author(s) received no financial support for the research, authorship, and/or publication of this article., (© The Author(s) 2021.)
- Published
- 2021
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41. Women's Attempts Related to Complementary and Alternative Medicine Use in Infertility Causes and Diagnosis: A Narrative Inquiry.
- Author
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Azimi-Nezhad M, Sistani MN, and Vahedian-Shahroodi M
- Abstract
In most cultures of the world, infertility is seen as a disaster and is associated with a myriad of emotional and psychological problems for women. Using Complementary and alternative medicine (CAM) can help treat infertility. The present qualitative study aimed to explore women's attempts related to CAM use in infertility causes and diagnosis. This qualitative study has been carried out through a purposive sampling technique on 78 women living in Neyshabur, Iran. An individual interview and focus group discussions (FGDs) was used to collect data. Purposive sampling was used based on the objective of the study and the characteristics of a population. The data collection was discontinued when saturation occurred, and no new themes or information were explored in the data. Data analysis was performed by content analysis and Atlas T software. This study revealed medical diagnosis and traditional medicine, custom activity, medicine causes, and nutrition issues influence women's view pints and attempt towards infertility and CAM use. Results suggested that infertility should be understood not only in biomedical terms but in light of cultural beliefs and the contingent need for culturally-appropriate supportive CAM. The application of CAM along with medical medicine is an essential element in assisting couples in infertility causes.
- Published
- 2021
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42. Curcumin Efficacy in a Serum/Glucose Deprivation-Induced Neuronal PC12 Injury Model.
- Author
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Farkhondeh T, Ashrafizadeh M, Azimi-Nezhad M, Samini F, Aschner M, and Samarghandian S
- Subjects
- Animals, Apoptosis, Glucose pharmacology, Humans, Oxidative Stress, PC12 Cells, Rats, Curcumin pharmacology, Curcumin therapeutic use
- Abstract
Background: Glucose/serum deprivation (GSD), has been used for understanding molecular mechanisms of neuronal damage during ischemia. It has been suggested that curcumin may improve neurodegenerative diseases., Aim: In this study, the protective effects of curcumin and its underlying mechanisms were investigated in PC12 cells upon GSD-induced stress., Methods: PC12 cells were cultured in DMEM overnight and then incubated in GSD condition for either 6 or 12h. GSD-treated cells were pretreated with various concentrations of curcumin (10, 20, and 40 μM) for 5h. The cell viability, apoptosis, reactive oxygen species (ROS) level, oxidative stress, expression of apoptosis-related genes, and IL-6 were determined., Results: Curcumin increased cell viability and caused an anti-apoptotic effect in PC12 cells exposed for 12h to GSD . Curcumin also increased antioxidant enzyme expression, suppressed lipid peroxidation, and decreased interleukin-6 secretion in PC12 cells subjected to GSD. In addition, pretreatment with curcumin down-regulated pro-apoptotic (Bax), and up-regulated antiapoptotic (Bcl2) mediators., Conclusion: Curcumin mitigates many of the adverse effects of ischemia, and therefore, should be considered as an adjunct therapy in ischemic patients., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
- Published
- 2021
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43. The Effect of Curcumin Phytosome on the Treatment of Patients with Non-alcoholic Fatty Liver Disease: A Double-Blind, Randomized, Placebo-Controlled Trial.
- Author
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Mirhafez SR, Azimi-Nezhad M, Dehabeh M, Hariri M, Naderan RD, Movahedi A, Abdalla M, Sathyapalan T, and Sahebkar A
- Subjects
- Aspartate Aminotransferases, Double-Blind Method, Humans, Curcumin therapeutic use, Diabetes Mellitus, Type 2, Non-alcoholic Fatty Liver Disease drug therapy
- Abstract
Non-alcoholic fatty liver disease (NAFLD) is a global health problem with increasing prevalence among overweight and obese patients. It is strongly associated with conditions of insulin resistance including type 2 diabetes mellitus (T2DM) and obesity. It has detrimental consequences ranged from simple steatosis to irreversible hepatic fibrosis and cirrhosis. Curcumin is a dietary polyphenol with potential effect in improving NAFLD. Therefore, the aim of this trial was to examine the effect of curcumin supplementation on various aspects of NAFLD. In this trial, a total number of 80 patients were randomised to receive either curcumin at 250 mg daily or placebo for 2 months. Lipid profiles, hepatic enzymes, anthropometric indices and hepatic fat mass were assessed at the baseline and the end of the trial, and compared within the groups. The grade of hepatic steatosis, and serum aspartate aminotransferase (AST) levels were significantly reduced in the curcumin group (p = 0.015 and p = 0.007, respectively) compared to the placebo. There was also a significant reduction in high density lipoprotein (HDL) levels and anthropometric indices in both groups with no significant differences between the two groups. Low dose phospholipid curcumin supplementation each day for 2 months showed significant reduction in hepatic steatosis and enzymes in patients with NAFLD compared to placebo. Further studies of longer duration and higher dosages are needed to assess its effect on other parameters of NAFLD including cardiovascular risk.
- Published
- 2021
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- View/download PDF
44. Chrysin's Impact on Oxidative and Inflammation Damages in the Liver of Aged Male Rats.
- Author
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Samini M, Farkhondeh T, Azimi-Nezhad M, and Samarghandian S
- Subjects
- Aging metabolism, Aging pathology, Animals, Inflammation Mediators metabolism, Lipid Peroxidation drug effects, Lipid Peroxidation physiology, Liver metabolism, Liver pathology, Male, Oxidation-Reduction drug effects, Oxidative Stress physiology, Rats, Rats, Wistar, Aging drug effects, Antioxidants pharmacology, Flavonoids pharmacology, Inflammation Mediators antagonists & inhibitors, Liver drug effects, Oxidative Stress drug effects
- Abstract
Aim: The purpose of this research was to investigate the effect of chrysin on one of the natural antioxidants on aging progression in an animal model., Background: Oxidative stress and inflammation increase in hepatic tissue during aging, leading to liver dysfunction., Objective: The current research was conducted to show the effect of chrysin on the activities of antioxidant enzyme (catalase, glutathione peroxidase, and superoxide dismutase), serum nitric oxide (NO), and lipid peroxidation as well as inflammatory cytokines (TNF-α, IL-6, and IL-1β) of aging rats., Methods: Male Wistar rats of different ages, 2, 10, and 20 months, were randomly divided into six groups as follows (n=8, per each group): young control rats (C2), young CH-treated rats (CH2), middle- aged control rats (C10), middle-aged CH-treated group (CH10), aged control group (C20), and aged CH-treated group (CH20). Chrysin (20 mg/kg) was administered intraperitoneally once a day for 30 days., Result: Present findings indicated that chrysin treatment ameliorated the increased liver levels of lipid peroxidation, TNF-α, and IL-1β as well as serum levels of NO., Conclusion: The findings suggest that chrysin could be effective against the progression of ageinduced damage by modulation of oxidant-antioxidant system and inflammatory response., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
- Published
- 2021
- Full Text
- View/download PDF
45. Association of MTHFR C677T Polymorphism with Preeclampsia in North East of Iran (Khorasan Province).
- Author
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Azimi-Nezhad M, Teymoori A, Salmaninejad A, and Ebrahimzadeh-Vesal R
- Subjects
- Case-Control Studies, Female, Genetic Predisposition to Disease, Genotype, Humans, Iran, Methylenetetrahydrofolate Reductase (NADPH2) genetics, Polymorphism, Single Nucleotide, Pregnancy, Pre-Eclampsia genetics
- Abstract
Background: Preeclampsia (PE) is one of the main causes of fetal and maternal mortality. The analysis of candidate gene polymorphisms can improve our understanding of the mechanisms underlying pathogenesis of PE. Present study is aimed at investigating the association between MTRR c.66A > G, MTHFR c.677C > T, MTHFR c.1298A > C, and MTR c.2756A > G polymorphisms and PE in Iranian women. Methods: About 117 women with history of PE and 103 healthy women with a pregnancy not complicated by PE were selected. The genomic DNA was extracted from peripheral blood. Single-nucleotide polymorphisms were genotyped using Real-Time PCR. Results: There was a significant difference between MTHFR c.677C > T polymorphism with PE ( p = 0.045). The frequency of C/T heterozygous genotypes were (58% vs. 36%) in the case and control groups, respectively. There were no statistically significant differences between other genetic polymorphisms. Conclusions: The results indicated that the MTHFR c.677C > T polymorphism may be associated with development of PE in Iranian women.
- Published
- 2020
- Full Text
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46. Association of CYP11B2 gene polymorphism with preeclampsia in north east of Iran (Khorasan province).
- Author
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Azimi-Nezhad M, Teymoori A, and Ebrahimzadeh-Vesal R
- Subjects
- Adult, Alleles, Case-Control Studies, Cytochrome P-450 CYP11B2 metabolism, Female, Gene Frequency genetics, Genetic Association Studies methods, Genetic Predisposition to Disease genetics, Genotype, Humans, Iran epidemiology, Odds Ratio, Polymorphism, Genetic genetics, Pre-Eclampsia physiopathology, Pregnancy, Cytochrome P-450 CYP11B2 genetics, Pre-Eclampsia genetics
- Abstract
Purpose: Identification the genetic factors in preeclampsia (PE) are useful to increase the current knowledge of the pathophysiology of the disorder. The genetic factors implicated for all cases of PE remain to be determined. This study was aimed to investigate association between ADD1 1378G > T, AGTR2 1675G > A, AGTR1 1166A > C, NOS3 894 G > T and CYP11B2 -344C > T gene polymorphisms in Iranian women with PE., Material and Methods: 117 pregnant women with PE and 103 healthy women without affected previous pregnancy by PE were selected. Genomic DNA was extracted from peripheral blood and real-time PCR was performed to investigate the polymorphisms using a commercial kit., Results: There was a significant difference in CYP11B2 -344C > T gene polymorphism between case and control groups (P = 0.025). The odds ratio was 0.71 (CI 95% = 0.28-1.79). There were no statistical significant differences between other genetic polymorphisms., Conclusion: Our results showed a significant association between CYP11B2 -344C > T gene polymorphism with PE. This finding suggests that mentioned polymorphism may be associated with susceptibility to PE at least in IRAN., Competing Interests: Declaration of Competing Interest 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., (Copyright © 2020. Published by Elsevier B.V.)
- Published
- 2020
- Full Text
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47. Association between serum cell adhesion molecules with hs-CRP, uric acid and VEGF genetic polymorphisms in subjects with metabolic syndrome.
- Author
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Ghazizadeh H, Rezaei M, Avan A, Fazilati M, Pasdar A, Tavallaie S, Kazemi E, Seyedi SMR, Ferns GA, Azimi-Nezhad M, and Ghayour-Mobarhan M
- Subjects
- Adult, Biomarkers blood, C-Reactive Protein analysis, Cell Adhesion Molecules analysis, Cell Adhesion Molecules blood, Cholesterol analysis, Cholesterol blood, Cross-Sectional Studies, Diabetes Mellitus blood, E-Selectin blood, E-Selectin genetics, Female, Humans, Intercellular Adhesion Molecule-1 blood, Intercellular Adhesion Molecule-1 genetics, Male, Metabolic Syndrome blood, Middle Aged, Risk Factors, Triglycerides blood, Uric Acid analysis, Uric Acid blood, Vascular Endothelial Growth Factor A genetics, Vascular Endothelial Growth Factor A metabolism, Cell Adhesion Molecules genetics, Metabolic Syndrome genetics, Metabolic Syndrome metabolism
- Abstract
Metabolic syndrome (MetS) is associated with a pro-inflammatory state and endothelial dysfunction that places subjects with MetS at a higher risk of atherosclerosis. Inflammatory biomarkers are raised in patients at risk of developing cardiovascular diseases. In the current study, we aimed to examine the possible association between MetS and serum soluble adhesion molecules, hs-CRP, uric acid, and the genetic variations related to vascular endothelial growth factor (VEGF) gene. In this cross-sectional study, participants were enrolled from the Mashhad stroke and heart atherosclerotic disorders (MASHAD) study. The International Diabetes Federation criteria were used to define the MetS. Cell adhesion molecules (CAM) and serum hs-CRP were measured by ELISA and PEG-enhanced immunoturbidimetry method, respectively. We used a logistic regression analysis to determine independent associations of CAMs with the VEGF polymorphisms and MetS. Two hundred and 59 participants with and without MetS were enrolled. Participants with MetS and DM had a significantly higher serum E-selectin level (p < 0.05). Participants with a high serum E-selectin level had higher levels of hs-CRP, FBG, TG, uric acid, BMI and lower levels of serum HDL-C (p < 0.05). Interestingly, individuals with MetS with a genetic variant of the VEGF gene (rs6921438) had higher level of serum ICAM-1 (p = 0.04). There were significant associations between serum E-selectin concentrations and the presence of MetS, and its risk factors. Moreover, we demonstrated that MetS subjects with the rs6921438 genetic variant had a higher serum level of ICAM-1 (p < 0.05).
- Published
- 2020
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48. Antidotal or protective effects of honey and one of its major polyphenols, chrysin, against natural and chemical toxicities.
- Author
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Samarghandian S, Azimi-Nezhad M, Pourbagher Shahri AM, and Farkhondeh T
- Subjects
- Humans, Antidotes therapeutic use, Drug-Related Side Effects and Adverse Reactions prevention & control, Flavonoids therapeutic use, Honey, Polyphenols therapeutic use, Protective Agents therapeutic use
- Abstract
Objective: Honey and its polyphenolic compounds are of main natural antioxidants that have been used in traditional medicine. The aim of this review was to identify the protective effects of honey and chrysin (a polyphenol available in honey) against the chemical and natural toxic agents., Method: The scientific databases such as MEDLINE, PubMed, Scopus, Web of Science and Google Scholar were searched to identify studies on the antidotal effects of honey and chrysin against toxic agents., Results: This study found that honey had protective activity against toxic agents-induced organ damages by modulating oxidative stress, inflammation, and apoptosis pathways. However, clinical trial studies are needed to confirm the efficacy of honey and chrysin as antidote agents in human intoxication., Conclusion: Honey and chrysin may be effective against toxic agents. (www.actabiomedica.it).
- Published
- 2019
- Full Text
- View/download PDF
49. The cross-talk between adipokines and miRNAs in health and obesity-mediated diseases.
- Author
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Ghasemi A, Hashemy SI, Azimi-Nezhad M, Dehghani A, Saeidi J, and Mohtashami M
- Subjects
- Animals, Humans, Adipokines metabolism, Metabolic Diseases metabolism, MicroRNAs metabolism, Obesity metabolism
- Abstract
Background: Multiple studies have revealed a direct correlation between obesity and the development of multiple comorbidities, including metabolic diseases, cardiovascular disorders, chronic inflammatory disease, and cancers. However, the molecular mechanism underlying the link between obesity and the progression of these diseases is not completely understood. Adipokines are factors that are secreted by adipocytes and play a key role in whole body homeostasis. Collaboratively, miRNAs are suggested to have key functions in the development of obesity and obesity-related disorders. Based on recently emerging evidence, obesity leads to the dysregulation of both adipokines and obesity-related miRNAs. In the present study, we described the correlations between obesity and its related diseases that are mediated by the mutual regulatory effects of adipokines and miRNAs., Methods: We reviewed current knowledge of the modulatory effects of adipokines on miRNAs activity and their relevant functions in pathological conditions and vice versa., Results: Our research reveals the ability of adipokines and miRNAs to control the expression and activity of the other class of molecules, and their effects on obesity-related diseases., Conclusions: This study may help researchers develop a roadmap for future investigations and provide opportunities to develop new therapeutic and diagnostic methods for treating obesity-related diseases., (Copyright © 2019 Elsevier B.V. All rights reserved.)
- Published
- 2019
- Full Text
- View/download PDF
50. A pilot study of the effect of phospholipid curcumin on serum metabolomic profile in patients with non-alcoholic fatty liver disease: a randomized, double-blind, placebo-controlled trial.
- Author
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Chashmniam S, Mirhafez SR, Dehabeh M, Hariri M, Azimi Nezhad M, and Nobakht M Gh BF
- Subjects
- Adult, Anti-Inflammatory Agents, Antioxidants, Dietary Supplements, Double-Blind Method, Female, Humans, Iran, Magnetic Resonance Spectroscopy, Male, Middle Aged, Pilot Projects, Placebos, Biomarkers blood, Curcumin administration & dosage, Metabolomics, Non-alcoholic Fatty Liver Disease blood
- Abstract
Background/objectives: Curcumin, a natural polyphenol compound in the spice turmeric, has been found to have potent anti-oxidative and anti-inflammatory activity. Curcumin may treat non-alcoholic fatty liver disease (NAFLD) through its beneficial effects on biomarkers of oxidative stress (OS) and inflammation, which are considered as two feature of this disease. However, the effects of curcumin on NAFLD have been remained poorly understood. This investigation evaluated the effects of administrating curcumin on metabolic status in NAFLD patients., Subjects/methods: Fifty-eight NAFLD patients participated in a randomized, double-blind, placebo-controlled parallel design of study. The subjects were allocated randomly into two groups, which either received 250 mg phospholipid curcumin or placebo, one capsule per day for a period of 8 weeks. Fasting blood samples were taken from each subject at the start and end of the study period. Subsequently, metabolomics analysis was performed for serum samples using NMR., Results: Compared with the placebo, supplementing phospholipid curcumin resulted in significant decreases in serum including 3- methyl-2-oxovaleric acid, 3-hydroxyisobutyrate, kynurenine, succinate, citrate, α-ketoglutarate, methylamine, trimethylamine, hippurate, indoxyl sulfate, chenodeoxycholic acid, taurocholic acid, and lithocholic acid. This profile of metabolic biomarkers could distinguish effectively NAFLD subjects who were treated with curcumin and placebo groups, achieving value of 0.99 for an area under receiver operating characteristic curve (AUC)., Conclusions: Characterizing the serum metabolic profile of the patients with NAFLD at the end of the intervention using NMR-based metabolomics method indicated that the targets of curcumin treatment included some amino acids, TCA cycle, bile acids, and gut microbiota.
- Published
- 2019
- Full Text
- View/download PDF
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