Author: "Chan, Q" / Publisher: elsevier - Searchworks@Jio Institute Digital Library Search Results

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1. Characterising frailty, metrics of continuous glucose monitoring, and mortality hazards in older adults with type 2 diabetes on insulin therapy (HARE):a prospective, observational cohort study

Author: Fung, E. (Erik), Lui, L.-T. (Leong-Ting), Huang, L. (Lei), Cheng, K. F. (King Fai), Lau, G. H. (Gloria H. W.), Chung, Y. T. (Yi Ting), Ahmadabadi, B. N. (Behzad Nasiri), Xie, S. (Suyi), Lee, J. S. (Jenny S. W.), Hui, E. (Elsie), So, W. Y. (Wing Yee), Sung, J. J. (Joseph J. Y.), King, I. (Irwin), Goggins, W. B. (William B.), Chan, Q. (Queenie), Järvelin, M.-R. (Marjo-Riitta), Ma, R. C. (Ronald C. W.), Chow, E. (Elaine), and Kwok, T. (Timothy)
Abstract: Summary Background: To our knowledge, no previous study has examined the inter-relationship between frailty, dysglycaemia, and mortality in frail older adults with type 2 diabetes who are on insulin therapy. We used continuous glucose monitors (CGMs) to profile this patient population and determine the prognostic value of CGM metrics. We hypothesised that incremental frailty was associated with increased hypoglycaemia or time below range (TBR). Methods: HARE was a multicentre, prospective, observational cohort study with mortality hazard analysis carried out in four hospitals in Hong Kong. Eligible participants were community-living adults aged 70 years and older; had had type 2 diabetes for 5 years or more; were on insulin therapy; were frail; and were not hospitalised at the time of frailty assessment and CGM recording. Glucose control was characterised according to the Advanced Technologies and Treatments for Diabetes 2019 international consensus clinical targets. Frailty index was computed, and comprehensive frailty assessments and targeted serum metabolic profiling were performed. The Jonckheere-Terpstra test for trend was used to analyse frailty index tertiles and variables. Inter-relationships between CGM metrics and frailty, glycated haemoglobin A1c (HbA1c), and serum albumin were characterised using adjusted regression models. Survival analysis and Cox proportional hazard modelling were performed. Findings: Between July 25, 2018, and Sept 27, 2019, 225 participants were recruited, 222 of whom had CGMs fitted and 215 of whom had analysable CGM data (190 were frail, 25 were not frail). Incremental frailty was associated with older age, greater HbA1c, worse renal function, and history of stroke. Eight of 11 CGM metrics were significantly associated with frailty. Decreased time in range (TIR; glucose concentration 3·9–10·0 mmol/L) and increased time above range (TAR) metrics were strongly correlated with increased frailty and hyperglycaemia, whereas TBR metrics were marginally or not different between frailty levels. Glucose-lowering agents did not significantly affect regression estimates. In patients with HbA1c of 7·5% or more, reduced serum albumin was associated with level 2 TAR (glucose concentration >13·9 mmol/L) and dysglycaemia. During a median follow-up of 28·0 months (IQR 25·3–30·4), increased level 2 TAR was predictive of mortality explainable by frailty in the absence of detectable interaction. Each 1% increment of level 2 TAR was associated with 1·9% increase in mortality hazard. Interpretation: In older adults with type 2 diabetes who are on insulin therapy, incremental frailty was associated with increased dysglycaemia and hyperglycaemia rather than hypoglycaemia. Mortality hazard was increased with severe hyperglycaemia. Future clinical studies and trials targeting actionable CGM metrics highlighted in this study could translate into improved care and outcomes. Funding: Health and Medical Research Fund, Food and Health Bureau, The Government of the Hong Kong Special Administrative Region of China.
Published: 2021

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

Author: Zhou, B, Carrillo-Larco, RM, Danaei, G, Riley, LM, Paciorek, CJ, Stevens, GA, Gregg, EW, Bennett, JE, Solomon, B, Singleton, RK, Sophiea, MK, Iurilli, MLC, Lhoste, VPF, Cowan, MJ, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, AP, Khang, Y-H, Kim, HC, Laxmaiah, A, Lin, H-H, Margozzini Maira, P, Miranda, JJ, Neuhauser, H, Sundström, J, Varghese, C, Widyahening, IS, Zdrojewski, T, Abarca-Gómez, L, Abdeen, ZA, Abdul Rahim, HF, 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, Araújo, J, Ariansen, I, Aris, T, Arku, RE, Arlappa, N, Aryal, KK, Aspelund, T, Assah, FK, Assunção, MCF, Auvinen, J, Avdićová, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, BV, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinović, M, Bandosz, P, Banegas, JR, Baran, J, Barbagallo, CM, Barceló, 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, Bernotiene, G, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, SK, Bia, D, Biasch, K, Bika Lele, EC, Bikbov, MM, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, MB, Björkelund, 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, Briceño, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, HB, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, Cabrera de León, A, Cacciottolo, J, Cameron, C, Can, G, Cândido, APC, Capanzana, MV, Čapková, 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, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Cheraghian, B, Cherkaoui Dekkaki, I, Chetrit, A, Chien, K-L, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Chirlaque, M-D, 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, L, 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, VJ, 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, Do, HTP, Dobson, AJ, Donfrancesco, C, Donoso, SP, Döring, A, Dorobantu, M, Dörr, M, Doua, K, Dragano, N, Drygas, W, Duante, CA, Duboz, P, Duda, RB, Dulskiene, V, Dushpanova, A, Džakula, 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 Peña, 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, Fernández-Bergés, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, MM, Ferreccio, C, Ferreira, HS, Ferrer, E, Ferrieres, J, Figueiró, TH, Fink, G, Fischer, K, Foo, LH, Forsner, M, Fouad, HM, Francis, DK, Franco, MDC, 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, J, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, SP, Gaspoz, J-M, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, JM, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, O-F, 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, Gonçalves, H, Gonçalves, M, Gonçalves Cordeiro da Silva, B, Gonzalez-Chica, DA, Gonzalez-Gross, M, González-Rivas, JP, González-Villalpando, C, González-Villalpando, M-E, Gonzalez, AR, Gorbea, MB, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grosso, G, Gruden, G, Gu, D, 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, Halkjær, J, Hambleton, IR, Hamzeh, B, Hange, D, Hanif, AAM, Hantunen, S, Hao, J, Hardman, CM, Hari Kumar, R, Hashemi-Shahri, SM, Hata, J, Haugsgjerd, T, Hayes, AJ, He, Y, Heier, M, Hendriks, ME, Henrique, RDS, Henriques, A, Hernandez Cadena, L, Herqutanto, Herrala, S, Heshmat, R, Hill, AG, Ho, SY, Ho, SC, Hobbs, M, Holdsworth, M, Homayounfar, R, Horasan Dinc, G, Horimoto, ARVR, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MMT, Hu, Y, Huerta, JM, Huhtaniemi, IT, Huiart, L, Huisman, M, Husseini, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ibrahim Wong, N, 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, M-R, Jasienska, G, Jelaković, A, Jelaković, 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, Jóżwiak, J, Juolevi, A, Jurak, G, Jureša, V, Kaaks, R, Kafatos, A, Kajantie, EO, Kalmatayeva, Z, Kalpourtzi, N, Kalter-Leibovici, O, Kampmann, FB, Kannan, S, Karaglani, E, Kårhus, LL, Karki, KB, Katibeh, M, Katz, J, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, GM, Keil, U, Keinan Boker, L, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kemper, HCG, Keramati, M, Kerimkulova, A, Kersting, M, Key, T, Khader, YS, Khalili, D, Khaw, K-T, 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, Le Nguyen Bao, K, Le, TD, Lee, J, Lehmann, N, Lehtimäki, T, Lemogoum, D, Levitt, NS, Li, Y, Lilly, CL, Lim, W-Y, Lima-Costa, MF, Lin, X, Lin, Y-T, Lind, L, Lingam, V, Linneberg, A, Lissner, L, Litwin, M, Lo, W-C, Loit, H-M, Lopez-Garcia, E, Lopez, T, Lotufo, PA, Lozano, JE, Lukačević Lovrenčić, I, Lukrafka, JL, Luksiene, D, Lundqvist, A, Lundqvist, R, Lunet, N, Lustigová, M, Luszczki, E, Ma, G, 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 Rao, K, Malyutina, SK, Maniego, LV, Manios, Y, Mann, JI, Mansour-Ghanaei, F, Manzato, E, Marcil, A, Mårild, SB, Marinović Glavić, M, 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, Mc Donald Posso, AJ, McFarlane, SR, McGarvey, ST, McLachlan, S, McLean, RM, McLean, SB, McNulty, BA, Mediene Benchekor, S, Medzioniene, J, Mehdipour, P, Mehlig, K, Mehrparvar, AH, Meirhaeghe, A, Meisinger, C, Mendoza Montano, C, 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, Mišigoj-Duraković, 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, Mohd Yusoff, MF, Mohebbi, I, Mohebi, F, Moitry, M, Møllehave, LT, Molnár, 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, S-A, Mota, J, Motlagh, ME, Motta, J, Moura-dos-Santos, MA, Mridha, MK, Msyamboza, KP, Mu, TT, Muhihi, AJ, Muiesan, ML, Müller-Nurasyid, M, Murphy, N, Mursu, J, Musa, KI, Musić Milanović, S, Musil, V, Mustafa, N, Nabipour, I, Naderimagham, S, Nagel, G, Naidu, BM, Najafi, F, Nakamura, H, Námešná, J, Nang, EEK, Nangia, VB, Narake, S, Ndiaye, NC, Neal, WA, Nejatizadeh, A, Nenko, I, Neovius, M, Nguyen, CT, Nguyen, ND, Nguyen, QV, Nguyen, QN, Nieto-Martínez, 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, Nsour, MA, Nunes, B, O'Neill, TW, O'Reilly, D, Ochimana, C, Oda, E, Odili, AN, Oh, K, Ohara, K, Ohtsuka, R, Olié, 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, Paiva, KMD, Pająk, A, Palli, D, Palmieri, L, Pan, W-H, Panda-Jonas, S, Panza, F, Paoli, M, Papandreou, D, Park, S-W, Park, S, Parnell, WR, Parsaeian, M, Pasquet, P, Patel, ND, Pavlyshyn, H, Pećin, I, Pednekar, MS, Pedro, JM, Peer, N, Peixoto, SV, Peltonen, M, Pereira, AC, Peres, KGDA, Peres, MA, Peters, A, Petkeviciene, J, Peykari, N, Pham, ST, Pichardo, RN, Pigeot, I, Pikhart, H, Pilav, A, Pilotto, L, Pitakaka, F, Piwonska, A, Pizarro, AN, Plans-Rubió, P, Polašek, O, Porta, M, Poudyal, A, Pourfarzi, F, Pourshams, A, Poustchi, H, Pradeepa, R, Price, AJ, Price, JF, Providencia, R, Puhakka, SE, Puiu, M, Punab, M, Qasrawi, RF, Qorbani, M, Queiroz, D, Quoc Bao, T, Radić, I, Radisauskas, R, Rahimikazerooni, S, Rahman, M, Raitakari, O, Raj, M, Rakhimova, EM, Ra, 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, Y-H, Kim, HC, Laxmaiah, A, Lin, H-H, Margozzini Maira, P, Miranda, JJ, Neuhauser, H, Sundström, J, Varghese, C, Widyahening, IS, Zdrojewski, T, Abarca-Gómez, L, Abdeen, ZA, Abdul Rahim, HF, 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, Araújo, J, Ariansen, I, Aris, T, Arku, RE, Arlappa, N, Aryal, KK, Aspelund, T, Assah, FK, Assunção, MCF, Auvinen, J, Avdićová, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, BV, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinović, M, Bandosz, P, Banegas, JR, Baran, J, Barbagallo, CM, Barceló, 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, Bernotiene, G, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, SK, Bia, D, Biasch, K, Bika Lele, EC, Bikbov, MM, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, MB, Björkelund, 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, Briceño, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, HB, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, Cabrera de León, A, Cacciottolo, J, Cameron, C, Can, G, Cândido, APC, Capanzana, MV, Čapková, 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, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Cheraghian, B, Cherkaoui Dekkaki, I, Chetrit, A, Chien, K-L, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Chirlaque, M-D, 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, L, 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, VJ, 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, Do, HTP, Dobson, AJ, Donfrancesco, C, Donoso, SP, Döring, A, Dorobantu, M, Dörr, M, Doua, K, Dragano, N, Drygas, W, Duante, CA, Duboz, P, Duda, RB, Dulskiene, V, Dushpanova, A, Džakula, 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 Peña, 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, Fernández-Bergés, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, MM, Ferreccio, C, Ferreira, HS, Ferrer, E, Ferrieres, J, Figueiró, TH, Fink, G, Fischer, K, Foo, LH, Forsner, M, Fouad, HM, Francis, DK, Franco, MDC, Frikke-Schmidt, R, Frontera, G, Fuchs, FD, Fuchs, SC, 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Paoli, M, Papandreou, D, Park, S-W, Park, S, Parnell, WR, Parsaeian, M, Pasquet, P, Patel, ND, Pavlyshyn, H, Pećin, I, Pednekar, MS, Pedro, JM, Peer, N, Peixoto, SV, Peltonen, M, Pereira, AC, Peres, KGDA, Peres, MA, Peters, A, Petkeviciene, J, Peykari, N, Pham, ST, Pichardo, RN, Pigeot, I, Pikhart, H, Pilav, A, Pilotto, L, Pitakaka, F, Piwonska, A, Pizarro, AN, Plans-Rubió, P, Polašek, O, Porta, M, Poudyal, A, Pourfarzi, F, Pourshams, A, Poustchi, H, Pradeepa, R, Price, AJ, Price, JF, Providencia, R, Puhakka, SE, Puiu, M, Punab, M, Qasrawi, RF, Qorbani, M, Queiroz, D, Quoc Bao, T, Radić, I, Radisauskas, R, Rahimikazerooni, S, Rahman, M, Raitakari, O, Raj, M, Rakhimova, EM, and Ra
Published: 2021

3. Determinants of personal exposure to PM2.5 and black carbon in Chinese adults: a 1 repeated-measures study in villages using solid fuel energy

Author: Lee, M, Carter, E, Yan, L, Chan, Q, Elliott, P, Ezzati, M, Kelly, F, Schauer, J, Wu, Y, Yang, X, Zhao, L, Baumgartner, J, and Wellcome Trust
Subjects: STOVES, Science & Technology, Energy, Air pollution, INDOOR, WOMEN, Environmental Sciences & Ecology, CHILDREN, complex mixtures, BIOMASS, Household air pollution, COAL, PARTICULATE MATTER, Repeated measures, ELEMENTAL CARBON, Life Sciences & Biomedicine, Environmental Sciences, HOUSEHOLD AIR-POLLUTION, EMISSIONS
Abstract: Exposure to air pollution is a leading health risk factor. The variance components and contributions of indoor versus outdoor source determinants of personal exposure to air pollution are poorly understood, especially in settings of household solid fuel use. We conducted a panel study with up to 4 days of repeated measures of integrated gravimetric personal exposure to PM2.5 and black carbon in 787 men and women (ages 40-79) living in peri-urban villages in northern (Beijing and Shanxi) and southern (Guangxi) China. We simultaneously measured outdoor PM2.5 and collected questionnaire data on sociodemographic characteristics and indoor pollution sources including tobacco smoking and solid fuel stove use. We obtained over 2000 days of personal exposure monitoring which showed higher exposures in the heating season (geometric mean (GM): 108 versus 65 μg/m3 in the non-heating season for PM2.5) and among northern participants (GM: 90 versus 59 μg/m3 in southern China in the non-heating season for PM2.5). We used mixed-effects models to estimate within- and between-participant variance components and to assess the determinants of exposures. Within-participant variance in exposure dominated the total variability (68-95%). Outdoor PM2.5 was the dominant variable for explaining within-participant variance in exposure to PM2.5 (16%). Household fuel use (PM2.5: 8%; black carbon: 10%) and smoking status (PM2.5: 27%; black carbon: 5%) explained the most between-participant variance. Indoor sources (solid fuel stoves, tobacco smoking) were associated with 13-30% higher exposures to air pollution and each 10 μg/m3 increase in outdoor PM2.5 was associated with 6-8% higher exposure. Our findings indicate that repeated measurements of daily exposure are likely needed to capture longer-term exposures in settings of household solid fuel use, even within a single season, and that reducing air pollution from both outdoor and indoor sources is likely needed to achieve measurable reductions in exposures to air pollution.
Published: 2020

4. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants

Author: Zhou, B, Bentham, J, Di Cesare, M, Bixby, H, Danaei, G, Cowan, MJ, Paciorek, CJ, Singh, G, Hajifathalian, K, Bennett, JE, Taddei, C, Bilano, V, Carrillo-Larco, RM, Djalalinia, S, Khatibzadeh, S, Lugero, C, Peykari, N, Zhang, WZ, Lu, Y, Stevens, GA, Riley, LM, Bovet, P, Elliott, P, Gu, D, Ikeda, N, Jackson, RT, Joffres, M, Kengne, AP, Laatikainen, T, Lam, TH, Laxmaiah, A, Liu, J, Miranda, JJ, Mondo, CK, Neuhauser, HK, Sundström, J, Smeeth, L, Soric, M, Woodward, M, Ezzati, M, Abarca-Gómez, L, Abdeen, ZA, Rahim, HA, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Afsana, K, Aguilar-Salinas, CA, Agyemang, C, Ahmadvand, A, Ahrens, W, Al Raddadi, R, Al Woyatan, R, Ali, MM, Alkerwi, A, Aly, E, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Ängquist, L, Anjana, RM, Ansong, D, Aounallah-Skhiri, H, Araújo, J, Ariansen, I, Aris, T, Arlappa, N, Aryal, K, Arveiler, D, Assah, FK, Assun ao, MCF, Avdicová, M, Azevedo, A, Azizi, F, Babu, BV, Bahijri, S, Balakrishna, N, Bandosz, P, Banegas, JR, Barbagallo, CM, Barceló, A, Barkat, A, Barros, AJD, Barros, MV, Bata, I, Batieha, AM, Baur, LA, Beaglehole, R, Romdhane, HB, Benet, M, Benson, LS, Bernabe-Ortiz, A, Bernotiene, G, Bettiol, H, Bhagyalaxmi, A, Bharadwaj, S, Bhargava, SK, Bi, Y, Bikbov, M, Bjerregaard, P, Bjertness, E, Björkelund, C, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, JG, Boissonnet, CP, Bongard, V, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, LM, Bruno, G, Bueno-de-Mesquita, HB, Bugge, A, Burns, C, Bursztyn, M, de León, AC, Cacciottolo, J, Cameron, C, Can, G, Cândido, APC, Capuano, V, Cardoso, VC, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, J-P, Caserta, CA, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chen, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Dekkaki, IC, Chetrit, A, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Cho, B, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Clays, E, Concin, H, Cooper, C, Cooper, R, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crujeiras, AB, Cruz, JJ, D Arrigo, G, d Orsi, E, Dallongeville, J, Damasceno, A, Dankner, R, Dantoft, TM, Dauchet, L, De Backer, G, De Bacquer, D, de Gaetano, G, De Henauw, S, De Smedt, D, Deepa, M, Dehghan, A, Delisle, H, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Dias-da-Costa, JS, Diaz, A, Dickerson, TT, Do, HTP, Dobson, AJ, Donfrancesco, C, Donoso, SP, Döring, A, Doua, K, Drygas, W, Dulskiene, V, D akula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eggertsen, R, Ekelund, U, El Ati, J, Ellert, U, Elosua, R, Erasmus, RT, Erem, C, Eriksen, L, Escobedo-de la Pe na, J, Evans, A, Faeh, D, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrante, D, Ferrari, M, Ferreccio, C, Ferrieres, J, Finn, JD, Fischer, K, Föger, B, Foo, LH, Forslund, A-S, Forsner, M, Fortmann, SP, Fouad, HM, Francis, DK, do Carmo Franco, M, Franco, OH, Frontera, G, Fuchs, FD, Fuchs, SC, Fujita, Y, Furusawa, T, Gaciong, Z, Gareta, D, Garnett, SP, Gaspoz, J-M, Gasull, M, Gates, L, Gavrila, D, Geleijnse, JM, Ghasemian, A, Ghimire, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Goldsmith, RA, Gon alves, H, Gross, MG, González Rivas, JP, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Gregor, RD, Grodzicki, T, Grøntved, A, Gruden, G, Grujic, V, Guan, OP, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Gunter, M, Gupta, PC, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Hadaegh, F, Halkj r, J, Hambleton, IR, Hardy, R, Harikumar, R, Hata, J, Hayes, AJ, He, J, Hendriks, ME, Henriques, A, Cadena, LH, Herqutanto, Herrala, S, Heshmat, R, Hihtaniemi, IT, Ho, SY, Ho, SC, Hobbs, M, Hofman, A, Dinc, GH, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Hu, Y, Huerta, JM, Husseini, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikram, MA, Irazola, VE, Islam, M, Ivkovic, V, Iwasaki, M, Jacobs, JM, Jafar, T, Jamrozik, K, Janszky, I, Jasienska, G, Jelakovic, B, Jiang, CQ, Johansson, M, Jonas, JB, J rgensen, T, Joshi, P, Juolevi, A, Jurak, G, Jure a, V, Kaaks, R, Kafatos, A, Kalter-Leibovici, O, Kamaruddin, NA, Kasaeian, A, Katz, J, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, G, Keil, U, Boker, LK, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kemper, HCG, Kersting, M, Key, T, Khader, YS, Khalili, D, Khang, Y-H, Khaw, K-T, Kiechl, S, Killewo, J, Kim, J, Klumbiene, J, Kolle, E, Kolsteren, P, Korrovits, P, Koskinen, S, Kouda, K, Koziel, S, Kristensen, PL, Krokstad, S, Kromhout, D, Kruger, HS, Kubinova, R, Kuciene, R, Kuh, D, Kujala, UM, Kula, K, Kulaga, Z, Krishna Kumar, R, Kurjata, P, Kusuma, YS, Kuulasmaa, K, Kyobutungi, C, Lachat, C, Landrove, O, Lanska, V, Lappas, G, Larijani, B, Laugsand, LE, Le Nguyen Bao, K, Le, TD, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Mu noz, LM, Levitt, NS, Li, Y, Lilly, CL, Lim, W-Y, Lima-Costa, MF, Lin, H-H, Lin, X, Linneberg, A, Lissner, L, Litwin, M, Lorbeer, R, 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Wang, M-D, Wang, Q, Wang, YX, Wannamethee, SG, Wareham, N, Wederkopp, N, Weerasekera, D, Whincup, PH, Widhalm, K, Widyahening, IS, Wiecek, A, Wijga, AH, Wilks, RJ, Willeit, J, Willeit, P, Williams, EA, Wilsgaard, T, Wojtyniak, B, Wong, TY, Wong-McClure, RA, Woo, J, Wu, AG, Wu, FC, Wu, SL, Xu, H, Yan, W, Yang, X, Ye, X, Yiallouros, PK, Yoshihara, A, Younger-Coleman, NO, Yusoff, AF, Yusoff, MFM, Zambon, S, Zdrojewski, T, Zeng, Y, Zhao, D, Zhao, W, Zheng, Y, Zhu, D, Zimmermann, E, and Cisneros, JZ
Abstract: Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19·1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127·0 mm Hg (95% credible interval 125·7–128·3) in men and 122·3 mm Hg (121·0–123·6) in women; age-standardised mean diastolic blood pressure was 78·7 mm Hg (77·9–79·5) for men and 76·7 mm Hg (75·9–77·6) for women. Global age-standardised prevalence of raised blood pressure was 24·1% (21·4–27·1) in men and 20·1% (17·8–22·5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and so
Published: 2017

5. Worldwide trends in blood pressure from 1975 to 2015:a pooled analysis of 1479 population-based measurement studies with 19.1 million participants

Author: Zhou, B. (Bin), Bentham, J. (James), Di Cesare, M. (Mariachiara), Bixby, H. (Honor), Danaei, G. (Goodarz), Cowan, M. J. (Melanie J.), Paciorek, C. J. (Christopher J.), Singh, G. (Gitanjali), Hajifathalian, K. (Kaveh), Bennett, J. E. (James E.), Taddei, C. (Cristina), Bilano, V. (Ver), Carrillo-Larco, R. M. (Rodrigo M.), Djalalinia, S. (Shirin), Khatibzadeh, S. (Shahab), Lugero, C. (Charles), Peykari, N. (Niloofar), Zhang, W. Z. (Wan Zhu), Lu, Y. (Yuan), Stevens, G. A. (Gretchen A.), Riley, L. M. (Leanne M.), Bovet, P. (Pascal), Elliott, P. (Paul), Gu, D. (Dongfeng), Ikeda, N. (Nayu), Jackson, R. T. (Rod T.), Joffres, M. (Michel), Kengne, A. P. (Andre Pascal), Laatikainen, T. (Tiina), Lam, T. H. (Tai Hing), Laxmaiah, A. (Avula), Liu, J. (Jing), Miranda, J. J. (J. Jaime), Mondo, C. K. (Charles K.), Neuhauser, H. K. (Hannelore K.), Sundstrom, J. (Johan), Smeeth, L. (Liam), Soric, M. (Maroje), Woodward, M. (Mark), Ezzati, M. (Majid), Abarca-Gomez, L. (Leandra), Abdeen, Z. A. (Ziad A.), Rahim, H. A. (Hanan Abdul), Abu-Rmeileh, N. M. (Niveen M.), Acosta-Cazares, B. (Benjamin), Adams, R. (Robert), Aekplakorn, W. (Wichai), Afsana, K. (Kaosar), Aguilar-Salinas, C. A. (Carlos A.), Agyemang, C. (Charles), Ahmadvand, A. (Alireza), Ahrens, W. (Wolfgang), Al Raddadi, R. (Rajaa), Al Woyatan, R. (Rihab), Ali, M. M. (Mohamed M.), Alkerwi, A. (Ala'a), Aly, E. (Eman), Amouyel, P. (Philippe), Amuzu, A. (Antoinette), Andersen, L. B. (Lars Bo), Anderssen, S. A. (Sigmund A.), Angquist, L. (Lars), Anjana, R. M. (Ranjit Mohan), Ansong, D. (Daniel), Aounallah-Skhiri, H. (Hajer), Araujo, J. (Joana), Ariansen, I. (Inger), Aris, T. (Tahir), Arlappa, N. (Nimmathota), Aryal, K. (Krishna), Arveiler, D. (Dominique), Assah, F. K. (Felix K.), Assuncao, M. C. (Maria Cecilia F.), Avdicova, M. (Maria), Azevedo, A. (Ana), Azizi, F. (Fereidoun), Babu, B. V. (Bontha V.), Bahijri, S. (Suhad), Balakrishna, N. (Nagalla), Bandosz, P. (Piotr), Banegas, J. R. (Jose R.), Barbagallo, C. M. (Carlo M.), Barcelo, A. (Alberto), Barkat, A. (Amina), Barros, A. J. (Aluisio J. D.), Barros, M. V. (Mauro V.), Bata, I. (Iqbal), Batieha, A. M. (Anwar M.), Baur, L. A. (Louise A.), Beaglehole, R. (Robert), Ben Romdhane, H. (Habiba), Benet, M. (Mikhail), Benson, L. S. (Lowell S.), Bernabe-Ortiz, A. (Antonio), Bernotiene, G. (Gailute), Bettiol, H. (Heloisa), Bhagyalaxmi, A. (Aroor), Bharadwaj, S. (Sumit), Bhargava, S. K. (Santosh K.), Bi, Y. (Yufang), Bikbov, M. (Mukharram), Bjerregaard, P. (Peter), Bjertness, E. (Espen), Bjokelund, C. (Cecilia), Blokstra, A. (Anneke), Bo, S. (Simona), Bobak, M. (Martin), Boeing, H. (Heiner), Boggia, J. G. (Jose G.), Boissonnet, C. P. (Carlos P.), Bongard, V. (Vanina), Braeckman, L. (Lutgart), Brajkovich, I. (Imperia), Branca, F. (Francesco), Breckenkamp, J. (Juergen), Brenner, H. (Hermann), Brewster, L. M. (Lizzy M.), Bruno, G. (Graziella), Bueno-de-Mesquita, H. B. (H. B. (as)), Bugge, A. (Anna), Burns, C. (Con), Bursztyn, M. (Michael), de Leon, A. C. (Antonio Cabrera), Cameron, C. (Christine), Can, G. (Gunay), Candido, A. P. (Ana Paula C.), Capuano, V. (Vincenzo), Cardoso, V. C. (Viviane C.), Carlsson, A. C. (Axel C.), Carvalho, M. J. (Maria J.), Casanueva, F. F. (Felipe F.), Casas, J.-P. (Juan-Pablo), Caserta, C. A. (Carmelo A.), Chamukuttan, S. (Snehalatha), Chan, A. W. (Angelique W.), Chan, Q. (Queenie), Chaturvedi, H. K. (Himanshu K.), Chaturvedi, N. (Nishi), Chen, C.-J. (Chien-Jen), Chen, F. (Fangfang), Chen, H. (Huashuai), Chen, S. (Shuohua), Chen, Z. (Zhengming), Cheng, C.-Y. (Ching-Yu), Dekkaki, I. C. (Imane Cherkaoui), Chetrit, A. (Angela), Chiolero, A. (Arnaud), Chiou, S.-T. (Shu-Ti), Chirita-Emandi, A. (Adela), Cho, B. (Belong), Cho, Y. (Yumi), Chudek, J. (Jerzy), Cifkova, R. (Renata), Claessens, F. (Frank), Clays, E. (Els), Concin, H. (Hans), Cooper, C. (Cyrus), Cooper, R. (Rachel), Coppinger, T. C. (Tara C.), Costanzo, S. (Simona), Cottel, D. (Dominique), Cowell, C. (Chris), Craig, C. L. (Cora L.), Crujeiras, A. B. (Ana B.), Cruz, J. J. (Juan J.), D'Arrigo, G. (Graziella), d'Orsi, E. (Eleonora), Dallongeville, J. (Jean), Damasceno, A. (Albertino), Dankner, R. (Rachel), Dantoft, T. M. (Thomas M.), Dauchet, L. (Luc), De Backer, G. (Guy), de Gaetano, G. (Giovanni), De Henauw, S. (Stefaan), De Smedt, D. (Delphine), Deepa, M. (Mohan), Dehghan, A. (Abbas), Delisle, H. (Helene), Deschamps, V. (Valerie), Dhana, K. (Klodian), Di Castelnuovo, A. F. (Augusto F.), Dias-da-Costa, J. S. (Juvenal Soares), Diaz, A. (Alejandro), Dickerson, T. T. (Ty T.), Do, H. T. (Ha T. P.), Dobson, A. J. (Annette J.), Donfrancesco, C. (Chiara), Donoso, S. P. (Silvana P.), Doering, A. (Angela), Doua, K. (Kouamelan), Drygas, W. (Wojciech), Dulskiene, V. (Virginija), Dzakula, A. (Aleksandar), Dzerve, V. (Vilnis), Dziankowska-Zaborszczyk, E. (Elzbieta), Eggertsen, R. (Robert), Ekelund, U. (Ulf), El Ati, J. (Jalila), Ellert, U. (Ute), Elosua, R. (Roberto), Erasmus, R. T. (Rajiv T.), Erem, C. (Cihangir), Eriksen, L. (Louise), Escobedo-de la Pena, J. (Jorge), Evans, A. (Alun), Faeh, D. (David), Fall, C. H. (Caroline H.), Farzadfar, F. (Farshad), Felix-Redondo, F. J. (Francisco J.), Ferguson, T. S. (Trevor S.), Fernandez-Berges, D. (Daniel), Ferrante, D. (Daniel), Ferrari, M. (Marika), Ferreccio, C. (Catterina), Ferrieres, J. (Jean), Finn, J. D. (Joseph D.), Fischer, K. (Krista), Foeger, B. (Bernhard), Foo, L. H. (Leng Huat), Forslund, A.-S. (Ann-Sofie), Forsner, M. (Maria), Fortmann, S. P. (Stephen P.), Fouad, H. M. (Heba M.), Francis, D. K. (Damian K.), Franco, M. d. (Maria do Carmo), Franco, O. H. (Oscar H.), Frontera, G. (Guillermo), Fuchs, F. D. (Flavio D.), Fuchs, S. C. (Sandra C.), Fujita, Y. (Yuki), Furusawa, T. (Takuro), Gaciong, Z. (Zbigniew), Gareta, D. (Dickman), Garnett, S. P. (Sarah P.), Gaspoz, J.-M. (Jean-Michel), Gasull, M. (Magda), Gates, L. (Louise), Gavrila, D. (Diana), Geleijnse, J. M. (Johanna M.), Ghasemian, A. (Anoosheh), Ghimire, A. (Anup), Giampaoli, S. (Simona), Gianfagna, F. (Francesco), Giovannelli, J. (Jonathan), Goldsmith, R. A. (Rebecca A.), Goncalves, H. (Helen), Gonzalez Gross, M. (Marcela), Gonzalez Rivas, J. P. (Juan P.), Gottrand, F. (Frederic), Graff-Iversen, S. (Sidsel), Grafnetter, D. (Dusan), Grajda, A. (Aneta), Gregor, R. D. (Ronald D.), Grodzicki, T. (Tomasz), Grontved, A. (Anders), Gruden, G. (Grabriella), Grujic, V. (Vera), Guan, O. P. (Ong Peng), Gudnason, V. (Vilmundur), Guerrero, R. (Ramiro), Guessous, I. (Idris), Guimaraes, A. L. (Andre L.), Gulliford, M. C. (Martin C.), Gunnlaugsdottir, J. (Johanna), Gunter, M. (Marc), Gupta, P. C. (Prakash C.), Gureje, O. (Oye), Gurzkowska, B. (Beata), Gutierrez, L. (Laura), Gutzwiller, F. (Felix), Hadaegh, F. (Farzad), Halkjaer, J. (Jytte), Hambleton, I. R. (Ian R.), Hardy, R. (Rebecca), Harikumar, R. (Rachakulla), Hata, J. (Jun), Hayes, A. J. (Alison J.), He, J. (Jiang), Hendriks, M. E. (Marleen Elisabeth), Henriques, A. (Ana), Hernandez Cadena, L. (Leticia), . (), Herrala, S. (Sauli), Heshmat, R. (Ramin), Hihtaniemi, I. T. (Ilpo Tapani), Ho, S. Y. (Sai Yin), Ho, S. C. (Suzanne C.), Hobbs, M. (Michael), Hofman, A. (Albert), Dinc, G. H. (Gonul Horasan), Hormiga, C. M. (Claudia M.), Horta, B. L. (Bernardo L.), Houti, L. (Leila), Howitt, C. (Christina), Htay, T. T. (Thein Thein), Htet, A. S. (Aung Soe), Hu, Y. (Yonghua), Maria Huerta, J. (Jose), Husseini, A. S. (Abdullatif S.), Huybrechts, I. (Inge), Hwalla, N. (Nahla), Iacoviello, L. (Licia), Iannone, A. G. (Anna G.), Ibrahim, M. M. (M. Mohsen), Ikram, M. A. (M. Arfan), Irazola, V. E. (Vilma E.), Islam, M. (Muhammad), Ivkovic, V. (Vanja), Iwasaki, M. (Masanori), Jacobs, J. M. (Jeremy M.), Jafar, T. (Tazeen), Jamrozik, K. (Konrad), Janszky, I. (Imre), Jasienska, G. (Grazyna), Jelakovic, B. (Bojan), Jiang, C. Q. (Chao Qiang), Johansson, M. (Mattias), Jonas, J. B. (Jost B.), Jorgensen, T. (Torben), Joshi, P. (Pradeep), Juolevi, A. (Anne), Jurak, G. (Gregor), Juresa, V. (Vesna), Kaaks, R. (Rudolf), Kafatos, A. (Anthony), Kalter-Leibovici, O. (Ofra), Kamaruddin, N. A. (Nor Azmi), Kasaeian, A. (Amir), Katz, J. (Joanne), Kauhanen, J. (Jussi), Kaur, P. (Prabhdeep), Kavousi, M. (Maryam), Kazakbaeva, G. (Gyulli), Keil, U. (Ulrich), Boker, L. K. (Lital Keinan), Keinanen-Kiukaanniemi, S. (Sirkka), Kelishadi, R. (Roya), Kemper, H. C. (Han C. G.), Kersting, M. (Mathilde), Key, T. (Timothy), Khader, Y. S. (Yousef Saleh), Khalili, D. (Davood), Khang, Y.-H. (Young-Ho), Khaw, K.-T. (Kay-Tee), Kiechl, S. (Stefan), Killewo, J. (Japhet), Kim, J. (Jeongseon), Klumbiene, J. (Jurate), Kolle, E. (Elin), Kolsteren, P. (Patrick), Korrovits, P. (Paul), Koskinen, S. (Seppo), Kouda, K. (Katsuyasu), Koziel, S. (Slawomir), Kristensen, P. L. (Peter Lund), Krokstad, S. (Steinar), Kromhout, D. (Daan), Kruger, H. S. (Herculina S.), Kubinova, R. (Ruzena), Kuciene, R. (Renata), Kuh, D. (Diana), Kujala, U. M. (Urho M.), Kula, K. (Krzysztof), Kulaga, Z. (Zbigniew), Kumar, R. K. (R. Krishna), Kurjata, P. (Pawel), Kusuma, Y. S. (Yadlapalli S.), Kuulasmaa, K. (Kari), Kyobutungi, C. (Catherine), Lachat, C. (Carl), Landrove, O. (Orlando), Lanska, V. (Vera), Lappas, G. (Georg), Larijani, B. (Bagher), Laugsand, L. E. (Lars E.), Le, T. D. (Tuyen D.), Leclercq, C. (Catherine), Lee, J. (Jeannette), Lee, J. (Jeonghee), Lehtimaki, T. (Terho), Lekhraj, R. (Rampal), Leon-Munoz, L. M. (Luz M.), Levitt, N. S. (Naomi S.), Li, Y. (Yanping), Lilly, C. L. (Christa L.), Lim, W.-Y. (Wei-Yen), Fernanda Lima-Costa, M. (M.), Lin, H.-H. (Hsien-Ho), Lin, X. (Xu), Linneberg, A. (Allan), Lissner, L. (Lauren), Litwin, M. (Mieczyslaw), Lorbeer, R. (Roberto), Lotufo, P. A. (Paulo A.), Eugenio Lozano, J. (Jose), Luksiene, D. (Dalia), Lundqvist, A. (Annamari), Lunet, N. (Nuno), Lytsy, P. (Per), Ma, G. (Guansheng), Ma, J. (Jun), Machado-Coelho, G. L. (George L. L.), Machi, S. (Suka), Maggi, S. (Stefania), Magliano, D. J. (Dianna J.), Majer, M. (Marjeta), Makdisse, M. (Marcia), Malekzadeh, R. (Reza), Malhotra, R. (Rahul), Rao, K. M. (Kodavanti Mallikharjuna), Malyutina, S. (Sofia), Manios, Y. (Yannis), Mann, J. I. (Jim I.), Manzato, E. (Enzo), Margozzini, P. (Paula), Marques-Vidal, P. (Pedro), Marrugat, J. (Jaume), Martorell, R. (Reynaldo), Mathiesen, E. B. (Ellisiv B.), Matijasevich, A. (Alicia), Matsha, T. E. (Tandi E.), Mbanya, J. C. (Jean Claude N.), Posso, A. J. (Anselmo J. Mc Donald), McFarlane, S. R. (Shelly R.), McGarvey, S. T. (Stephen T.), McLachlan, S. (Stela), McLean, R. M. (Rachael M.), McNulty, B. A. (Breige A.), Khir, A. S. (Amir Sharifuddin Md), Mediene-Benchekor, S. (Sounnia), Medzioniene, J. (Jurate), Meirhaeghe, A. (Aline), Meisinger, C. (Christa), Menezes, A. M. (Ana Maria B.), Menon, G. R. (Geetha R.), Meshram, I. I. (Indrapal I.), Metspalu, A. (Andres), Mi, J. (Jie), Mikkel, K. (Kairit), Miller, J. C. (Jody C.), Francisco Miquel, J. (Juan), Jaime Miranda, J. (J.), Misigoj-Durakovic, M. (Marjeta), Mohamed, M. K. (Mostafa K.), Mohammad, K. (Kazem), Mohammadifard, N. (Noushin), Mohan, V. (Viswanathan), Yusoff, M. F. (Muhammad Fadhli Mohd), Moller, N. C. (Niels C.), Molnar, D. (Denes), Momenan, A. (Amirabbas), Monyeki, K. D. (Kotsedi Daniel K.), Moreira, L. B. (Leila B.), Morejon, A. (Alain), Moreno, L. A. (Luis A.), Morgan, K. (Karen), Moschonis, G. (George), Mossakowska, M. (Malgorzata), Mostafa, A. (Aya), Mota, J. (Jorge), Motlagh, M. E. (Mohammad Esmaeel), Motta, J. (Jorge), Muiesan, M. L. (Maria L.), Mueller-Nurasyid, M. (Martina), Murphy, N. (Neil), Mursu, J. (Jaakko), Musil, V. (Vera), Nagel, G. (Gabriele), Naidu, B. M. (Balkish M.), Nakamura, H. (Harunobu), Namsna, J. (Jana), Nang, E. E. (Ei Ei K.), Nangia, V. B. (Vinay B.), Narake, S. (Sameer), Maria Navarrete-Munoz, E. (Eva), Ndiaye, N. C. (Ndeye Coumba), Neal, W. A. (William A.), Nenko, I. (Ilona), Nervi, F. (Flavio), Nguyen, N. D. (Nguyen D.), Nieto-Martinez, R. E. (Ramfis E.), Niiranen, T. J. (Teemu J.), Ning, G. (Guang), Ninomiya, T. (Toshiharu), Nishtar, S. (Sania), Noale, M. (Marianna), Noboa, O. A. (Oscar A.), Noorbala, A. A. (Ahmad Ali), Norat, T. (Teresa), Noto, D. (Davide), Al Nsour, M. (Mohannad), O'Reilly, D. (Dermot), Oh, K. (Kyungwon), Olinto, M. T. (Maria Teresa A.), Oliveira, I. O. (Isabel O.), Omar, M. A. (Mohd Azahadi), Onat, A. (Altan), Ordunez, P. (Pedro), Osmond, C. (Clive), Ostojic, S. M. (Sergej M.), Otero, J. A. (Johanna A.), Overvad, K. (Kim), Owusu-Dabo, E. (Ellis), Paccaud, F. M. (Fred Michel), Padez, C. (Cristina), Pahomova, E. (Elena), Pajak, A. (Andrzej), Palli, D. (Domenico), Palmieri, L. (Luigi), Panda-Jonas, S. (Songhomitra), Panza, F. (Francesco), Papandreou, D. (Dimitrios), Parnell, W. R. (Winsome R.), Parsaeian, M. (Mahboubeh), Pecin, I. (Ivan), Pednekar, M. S. (Mangesh S.), Peer, N. (Nasheeta), Peeters, P. H. (Petra H.), Peixoto, S. V. (Sergio Viana), Pelletier, C. (Catherine), Peltonen, M. (Markku), Pereira, A. C. (Alexandre C.), Marina Perez, R. (Rosa), Peters, A. (Annette), Petkeviciene, J. (Janina), Pigeot, I. (Iris), Pikhart, H. (Hynek), Pilav, A. (Aida), Pilotto, L. (Lorenza), Pitakaka, F. (Freda), Plans-Rubio, P. (Pedro), Polakowska, M. (Maria), Polasek, O. (Ozren), Porta, M. (Miquel), Portegies, M. L. (Marileen L. P.), Pourshams, A. (Akram), Pradeepa, R. (Rajendra), Prashant, M. (Mathur), Price, J. F. (Jacqueline F.), Puiu, M. (Maria), Punab, M. (Margus), Qasrawi, R. F. (Radwan F.), Qorbani, M. (Mostafa), Radic, I. (Ivana), Radisauskas, R. (Ricardas), Rahman, M. (Mahfuzar), Raitakari, O. (Olli), Raj, M. (Manu), Rao, S. R. (Sudha Ramachandra), Ramos, E. (Elisabete), Rampal, S. (Sanjay), Rangel Reina, D. A. (Daniel A.), Rasmussen, F. (Finn), Redon, J. (Josep), Reganit, P. F. (Paul Ferdinand M.), Ribeiro, R. (Robespierre), Riboli, E. (Elio), Rigo, F. (Fernando), de Wit, T. F. (Tobias F. Rinke), Ritti-Dias, R. M. (Raphael M.), Robinson, S. M. (Sian M.), Robitaille, C. (Cynthia), Rodriguez-Artalejo, F. (Fernando), Rodriguez-Villamizar, L. A. (Laura A.), Rojas-Martinez, R. (Rosalba), Rosengren, A. (Annika), Rubinstein, A. (Adolfo), Rui, O. (Ornelas), Sandra Ruiz-Betancourt, B. (Blanca), Russo Horimoto, A. R. (Andrea R. V.), Rutkowski, M. (Marcin), Sabanayagam, C. (Charumathi), Sachdev, H. S. (Harshpal S.), Saidi, O. (Olfa), Sakarya, S. (Sibel), Salanave, B. (Benoit), Salazar Martinez, E. (Eduardo), Salmeron, D. (Diego), Salomaa, V. (Veikko), Salonen, J. T. (Jukka T.), Salvetti, M. (Massimo), Sanchez-Abanto, J. (Jose), Sans, S. (Susana), Santos, D. (Diana), Santos, I. S. (Ina S.), dos Santos, R. N. (Renata Nunes), Santos, R. (Rute), Saramies, J. L. (Jouko L.), Sardinha, L. B. (Luis B.), Margolis, G. S. (Giselle Sarganas), Sarrafzadegan, N. (Nizal), Saum, K.-U. (Kai-Uwe), Savva, S. C. (Savvas C.), Scazufca, M. (Marcia), Schargrodsky, H. (Herman), Schneider, I. J. (Ione J.), Schultsz, C. (Constance), Schutte, A. E. (Aletta E.), Sen, A. (Abhijit), Senbanjo, I. O. (Idowu O.), Sepanlou, S. G. (Sadaf G.), Sharma, S. K. (Sanjib K.), Shaw, J. E. (Jonathan E.), Shibuya, K. (Kenji), Shin, D. W. (Dong Wook), Shin, Y. (Youchan), Siantar, R. (Rosalynn), Sibai, A. M. (Abla M.), Santos Silva, D. A. (Diego Augusto), Simon, M. (Mary), Simons, J. (Judith), Simons, L. A. (Leon A.), Sjotrom, M. (Michael), Skovbjerg, S. (Sine), Slowikowska-Hilczer, J. (Jolanta), Slusarczyk, P. (Przemyslaw), Smith, M. C. (Margaret C.), Snijder, M. B. (Marieke B.), So, H.-K. (Hung-Kwan), Sobngwi, E. (Eugene), Soderberg, S. (Stefan), Solfrizzi, V. (Vincenzo), Sonestedt, E. (Emily), Song, Y. (Yi), Sorensen, T. I. (Thorkild I. A.), Jerome, C. S. (Charles Sossa), Soumare, A. (Aicha), Staessen, J. A. (Jan A.), Starc, G. (Gregor), Stathopoulou, M. G. (Maria G.), Stavreski, B. (Bill), Steene-Johannessen, J. (Jostein), Stehle, P. (Peter), Stein, A. D. (Aryeh D.), Stergiou, G. S. (George S.), Stessman, J. (Jochanan), Stieber, J. (Jutta), Stoeckl, D. (Doris), Stocks, T. (Tanja), Stokwiszewski, J. (Jakub), Stronks, K. (Karien), Strufaldi, M. W. (Maria Wany), Sun, C.-A. (Chien-An), Sung, Y.-T. (Yn-Tz), Suriyawongpaisal, P. (Paibul), Sy, R. G. (Rody G.), Tai, E. S. (E. Shyong), Tammesoo, M.-L. (Mari-Liis), Tamosiunas, A. (Abdonas), Tang, L. (Line), Tang, X. (Xun), Tanser, F. (Frank), Tao, Y. (Yong), Tarawneh, M. R. (Mohammed Rasoul), Tarqui-Mamani, C. B. (Carolina B.), Taylor, A. (Anne), Theobald, H. (Holger), Thijs, L. (Lutgarde), Thuesen, B. H. (Betina H.), Tjonneland, A. (Anne), Tolonen, H. K. (Hanna K.), Topbas, M. (Murat), Topor-Madry, R. (Roman), Jose Tormo, M. (Maria), Torrent, M. (Maties), Traissac, P. (Pierre), Trichopoulos, D. (Dimitrios), Trichopoulou, A. (Antonia), Trinh, O. T. (Oanh T. H.), Trivedi, A. (Atul), Tshepo, L. (Lechaba), Tulloch-Reid, M. K. (Marshall K.), Tuomainen, T.-P. (Tomi-Pekka), Turley, M. L. (Maria L.), Tynelius, P. (Per), Tzourio, C. (Christophe), Ueda, P. (Peter), Ugel, E. (Eunice), Ulmer, H. (Hanno), Uusitalo, H. M. (Hannu M. T.), Valdivia, G. (Gonzalo), Valvi, D. (Damaskini), van der Schouw, Y. T. (Yvonne T.), Van Herck, K. (Koen), van Rossem, L. (Lenie), van Valkengoed, I. G. (Irene G. M.), Vanderschueren, D. (Dirk), Vanuzzo, D. (Diego), Vatten, L. (Lars), Vega, T. (Tomas), Velasquez-Melendez, G. (Gustavo), Veronesi, G. (Giovanni), Verschuren, W. M. (W. M. Monique), Verstraeten, R. (Roosmarijn), Victora, C. G. (Cesar G.), Viet, L. (Lucie), Viikari-Juntura, E. (Eira), Vineis, P. (Paolo), Vioque, J. (Jesus), Virtanen, J. K. (Jyrki K.), Visvikis-Siest, S. (Sophie), Viswanathan, B. (Bharathi), Vollenweider, P. (Peter), Vrdoljak, A. (Ana), Vrijheid, M. (Martine), Wade, A. N. (Alisha N.), Wagner, A. (Aline), Walton, J. (Janette), Mohamud, W. N. (Wan Nazaimoon Wan), Wang, M.-D. (Ming-Dong), Wang, Q. (Qian), Wang, Y. X. (Ya Xing), Wannamethee, S. G. (S. Goya), Wareham, N. (Nicholas), Wederkopp, N. (Niels), Weerasekera, D. (Deepa), Whincup, P. H. (Peter H.), Widhalm, K. (Kurt), Widyahening, I. S. (Indah S.), Wiecek, A. (Andrzej), Wijga, A. H. (Alet H.), Wilks, R. J. (Rainford J.), Willeit, P. (Peter), Williams, E. A. (Emmanuel A.), Wilsgaard, T. (Tom), Wojtyniak, B. (Bogdan), Wong, T. Y. (Tien Yin), Wong-McClure, R. A. (Roy A.), Woo, J. (Jean), Wu, A. G. (Aleksander Giwercman), Wu, F. C. (Frederick C.), Wu, S. L. (Shou Ling), Xu, H. (Haiquan), Yan, W. (Weili), Yang, X. (Xiaoguang), Ye, X. (Xingwang), Yiallouros, P. K. (Panayiotis K.), Yoshihara, A. (Akihiro), Younger-Coleman, N. O. (Novie O.), Yusoff, A. F. (Ahmad F.), Zambon, S. (Sabina), Zdrojewski, T. (Tomasz), Zeng, Y. (Yi), Zhao, D. (Dong), Zhao, W. (Wenhua), Zheng, Y. (Yingffeng), Zhu, D. (Dan), Zimmermann, E. (Esther), Zuniga Cisneros, J. (Julio), Zhou, B. (Bin), Bentham, J. (James), Di Cesare, M. (Mariachiara), Bixby, H. (Honor), Danaei, G. (Goodarz), Cowan, M. J. (Melanie J.), Paciorek, C. J. (Christopher J.), Singh, G. (Gitanjali), Hajifathalian, K. (Kaveh), Bennett, J. E. (James E.), Taddei, C. (Cristina), Bilano, V. (Ver), Carrillo-Larco, R. M. (Rodrigo M.), Djalalinia, S. (Shirin), Khatibzadeh, S. (Shahab), Lugero, C. (Charles), Peykari, N. (Niloofar), Zhang, W. Z. (Wan Zhu), Lu, Y. (Yuan), Stevens, G. A. (Gretchen A.), Riley, L. M. (Leanne M.), Bovet, P. (Pascal), Elliott, P. (Paul), Gu, D. (Dongfeng), Ikeda, N. (Nayu), Jackson, R. T. (Rod T.), Joffres, M. (Michel), Kengne, A. P. (Andre Pascal), Laatikainen, T. (Tiina), Lam, T. H. (Tai Hing), Laxmaiah, A. (Avula), Liu, J. (Jing), Miranda, J. J. (J. Jaime), Mondo, C. K. (Charles K.), Neuhauser, H. K. (Hannelore K.), Sundstrom, J. (Johan), Smeeth, L. (Liam), Soric, M. (Maroje), Woodward, M. (Mark), Ezzati, M. (Majid), Abarca-Gomez, L. (Leandra), Abdeen, Z. A. (Ziad A.), Rahim, H. A. (Hanan Abdul), Abu-Rmeileh, N. M. (Niveen M.), Acosta-Cazares, B. (Benjamin), Adams, R. (Robert), Aekplakorn, W. (Wichai), Afsana, K. (Kaosar), Aguilar-Salinas, C. A. (Carlos A.), Agyemang, C. (Charles), Ahmadvand, A. (Alireza), Ahrens, W. (Wolfgang), Al Raddadi, R. (Rajaa), Al Woyatan, R. (Rihab), Ali, M. M. (Mohamed M.), Alkerwi, A. (Ala'a), Aly, E. (Eman), Amouyel, P. (Philippe), Amuzu, A. (Antoinette), Andersen, L. B. (Lars Bo), Anderssen, S. A. (Sigmund A.), Angquist, L. (Lars), Anjana, R. M. (Ranjit Mohan), Ansong, D. (Daniel), Aounallah-Skhiri, H. (Hajer), Araujo, J. (Joana), Ariansen, I. (Inger), Aris, T. (Tahir), Arlappa, N. (Nimmathota), Aryal, K. (Krishna), Arveiler, D. (Dominique), Assah, F. K. (Felix K.), Assuncao, M. C. (Maria Cecilia F.), Avdicova, M. (Maria), Azevedo, A. (Ana), Azizi, F. (Fereidoun), Babu, B. V. (Bontha V.), Bahijri, S. (Suhad), Balakrishna, N. (Nagalla), Bandosz, P. (Piotr), Banegas, J. R. (Jose R.), Barbagallo, C. M. (Carlo M.), Barcelo, A. (Alberto), Barkat, A. (Amina), Barros, A. J. (Aluisio J. D.), Barros, M. V. (Mauro V.), Bata, I. (Iqbal), Batieha, A. M. (Anwar M.), Baur, L. A. (Louise A.), Beaglehole, R. (Robert), Ben Romdhane, H. (Habiba), Benet, M. (Mikhail), Benson, L. S. (Lowell S.), Bernabe-Ortiz, A. (Antonio), Bernotiene, G. (Gailute), Bettiol, H. (Heloisa), Bhagyalaxmi, A. (Aroor), Bharadwaj, S. (Sumit), Bhargava, S. K. (Santosh K.), Bi, Y. (Yufang), Bikbov, M. (Mukharram), Bjerregaard, P. (Peter), Bjertness, E. (Espen), Bjokelund, C. (Cecilia), Blokstra, A. (Anneke), Bo, S. (Simona), Bobak, M. (Martin), Boeing, H. (Heiner), Boggia, J. G. (Jose G.), Boissonnet, C. P. (Carlos P.), Bongard, V. (Vanina), Braeckman, L. (Lutgart), Brajkovich, I. (Imperia), Branca, F. (Francesco), Breckenkamp, J. (Juergen), Brenner, H. (Hermann), Brewster, L. M. (Lizzy M.), Bruno, G. (Graziella), Bueno-de-Mesquita, H. B. (H. B. (as)), Bugge, A. (Anna), Burns, C. (Con), Bursztyn, M. (Michael), de Leon, A. C. (Antonio Cabrera), Cameron, C. (Christine), Can, G. (Gunay), Candido, A. P. (Ana Paula C.), Capuano, V. (Vincenzo), Cardoso, V. C. (Viviane C.), Carlsson, A. C. (Axel C.), Carvalho, M. J. (Maria J.), Casanueva, F. F. (Felipe F.), Casas, J.-P. (Juan-Pablo), Caserta, C. A. (Carmelo A.), Chamukuttan, S. (Snehalatha), Chan, A. W. (Angelique W.), Chan, Q. (Queenie), Chaturvedi, H. K. (Himanshu K.), Chaturvedi, N. (Nishi), Chen, C.-J. (Chien-Jen), Chen, F. (Fangfang), Chen, H. (Huashuai), Chen, S. (Shuohua), Chen, Z. (Zhengming), Cheng, C.-Y. (Ching-Yu), Dekkaki, I. C. (Imane Cherkaoui), Chetrit, A. (Angela), Chiolero, A. (Arnaud), Chiou, S.-T. (Shu-Ti), Chirita-Emandi, A. (Adela), Cho, B. (Belong), Cho, Y. (Yumi), Chudek, J. (Jerzy), Cifkova, R. (Renata), Claessens, F. (Frank), Clays, E. (Els), Concin, H. (Hans), Cooper, C. (Cyrus), Cooper, R. (Rachel), Coppinger, T. C. (Tara C.), Costanzo, S. (Simona), Cottel, D. (Dominique), Cowell, C. (Chris), Craig, C. L. (Cora L.), Crujeiras, A. B. (Ana B.), Cruz, J. J. (Juan J.), D'Arrigo, G. (Graziella), d'Orsi, E. (Eleonora), Dallongeville, J. (Jean), Damasceno, A. (Albertino), Dankner, R. (Rachel), Dantoft, T. M. (Thomas M.), Dauchet, L. (Luc), De Backer, G. (Guy), de Gaetano, G. (Giovanni), De Henauw, S. (Stefaan), De Smedt, D. (Delphine), Deepa, M. (Mohan), Dehghan, A. (Abbas), Delisle, H. (Helene), Deschamps, V. (Valerie), Dhana, K. (Klodian), Di Castelnuovo, A. F. (Augusto F.), Dias-da-Costa, J. S. (Juvenal Soares), Diaz, A. (Alejandro), Dickerson, T. T. (Ty T.), Do, H. T. (Ha T. P.), Dobson, A. J. (Annette J.), Donfrancesco, C. (Chiara), Donoso, S. P. (Silvana P.), Doering, A. (Angela), Doua, K. (Kouamelan), Drygas, W. (Wojciech), Dulskiene, V. (Virginija), Dzakula, A. (Aleksandar), Dzerve, V. (Vilnis), Dziankowska-Zaborszczyk, E. (Elzbieta), Eggertsen, R. (Robert), Ekelund, U. (Ulf), El Ati, J. (Jalila), Ellert, U. (Ute), Elosua, R. (Roberto), Erasmus, R. T. (Rajiv T.), Erem, C. (Cihangir), Eriksen, L. (Louise), Escobedo-de la Pena, J. (Jorge), Evans, A. (Alun), Faeh, D. (David), Fall, C. H. (Caroline H.), Farzadfar, F. (Farshad), Felix-Redondo, F. J. (Francisco J.), Ferguson, T. S. (Trevor S.), Fernandez-Berges, D. (Daniel), Ferrante, D. (Daniel), Ferrari, M. (Marika), Ferreccio, C. (Catterina), Ferrieres, J. (Jean), Finn, J. D. (Joseph D.), Fischer, K. (Krista), Foeger, B. (Bernhard), Foo, L. H. (Leng Huat), Forslund, A.-S. (Ann-Sofie), Forsner, M. (Maria), Fortmann, S. P. (Stephen P.), Fouad, H. M. (Heba M.), Francis, D. K. (Damian K.), Franco, M. d. (Maria do Carmo), Franco, O. H. (Oscar H.), Frontera, G. (Guillermo), Fuchs, F. D. (Flavio D.), Fuchs, S. C. (Sandra C.), Fujita, Y. (Yuki), Furusawa, T. (Takuro), Gaciong, Z. (Zbigniew), Gareta, D. (Dickman), Garnett, S. P. (Sarah P.), Gaspoz, J.-M. (Jean-Michel), Gasull, M. (Magda), Gates, L. (Louise), Gavrila, D. (Diana), Geleijnse, J. M. (Johanna M.), Ghasemian, A. (Anoosheh), Ghimire, A. (Anup), Giampaoli, S. (Simona), Gianfagna, F. (Francesco), Giovannelli, J. (Jonathan), Goldsmith, R. A. (Rebecca A.), Goncalves, H. (Helen), Gonzalez Gross, M. (Marcela), Gonzalez Rivas, J. P. (Juan P.), Gottrand, F. (Frederic), Graff-Iversen, S. (Sidsel), Grafnetter, D. (Dusan), Grajda, A. (Aneta), Gregor, R. D. (Ronald D.), Grodzicki, T. (Tomasz), Grontved, A. (Anders), Gruden, G. (Grabriella), Grujic, V. (Vera), Guan, O. P. (Ong Peng), Gudnason, V. (Vilmundur), Guerrero, R. (Ramiro), Guessous, I. (Idris), Guimaraes, A. L. (Andre L.), Gulliford, M. C. (Martin C.), Gunnlaugsdottir, J. (Johanna), Gunter, M. (Marc), Gupta, P. C. (Prakash C.), Gureje, O. (Oye), Gurzkowska, B. (Beata), Gutierrez, L. (Laura), Gutzwiller, F. (Felix), Hadaegh, F. (Farzad), Halkjaer, J. (Jytte), Hambleton, I. R. (Ian R.), Hardy, R. (Rebecca), Harikumar, R. (Rachakulla), Hata, J. (Jun), Hayes, A. J. (Alison J.), He, J. (Jiang), Hendriks, M. E. (Marleen Elisabeth), Henriques, A. (Ana), Hernandez Cadena, L. (Leticia), . (), Herrala, S. (Sauli), Heshmat, R. (Ramin), Hihtaniemi, I. T. (Ilpo Tapani), Ho, S. Y. (Sai Yin), Ho, S. C. (Suzanne C.), Hobbs, M. (Michael), Hofman, A. (Albert), Dinc, G. H. (Gonul Horasan), Hormiga, C. M. (Claudia M.), Horta, B. L. (Bernardo L.), Houti, L. (Leila), Howitt, C. (Christina), Htay, T. T. (Thein Thein), Htet, A. S. (Aung Soe), Hu, Y. (Yonghua), Maria Huerta, J. (Jose), Husseini, A. S. (Abdullatif S.), Huybrechts, I. (Inge), Hwalla, N. (Nahla), Iacoviello, L. (Licia), Iannone, A. G. (Anna G.), Ibrahim, M. M. (M. Mohsen), Ikram, M. A. (M. Arfan), Irazola, V. E. (Vilma E.), Islam, M. (Muhammad), Ivkovic, V. (Vanja), Iwasaki, M. (Masanori), Jacobs, J. M. (Jeremy M.), Jafar, T. (Tazeen), Jamrozik, K. (Konrad), Janszky, I. (Imre), Jasienska, G. (Grazyna), Jelakovic, B. (Bojan), Jiang, C. Q. (Chao Qiang), Johansson, M. (Mattias), Jonas, J. B. (Jost B.), Jorgensen, T. (Torben), Joshi, P. (Pradeep), Juolevi, A. (Anne), Jurak, G. (Gregor), Juresa, V. (Vesna), Kaaks, R. (Rudolf), Kafatos, A. (Anthony), Kalter-Leibovici, O. (Ofra), Kamaruddin, N. A. (Nor Azmi), Kasaeian, A. (Amir), Katz, J. (Joanne), Kauhanen, J. (Jussi), Kaur, P. (Prabhdeep), Kavousi, M. (Maryam), Kazakbaeva, G. (Gyulli), Keil, U. (Ulrich), Boker, L. K. (Lital Keinan), Keinanen-Kiukaanniemi, S. (Sirkka), Kelishadi, R. (Roya), Kemper, H. C. (Han C. G.), Kersting, M. (Mathilde), Key, T. (Timothy), Khader, Y. S. (Yousef Saleh), Khalili, D. (Davood), Khang, Y.-H. (Young-Ho), Khaw, K.-T. (Kay-Tee), Kiechl, S. (Stefan), Killewo, J. (Japhet), Kim, J. (Jeongseon), Klumbiene, J. (Jurate), Kolle, E. (Elin), Kolsteren, P. (Patrick), Korrovits, P. (Paul), Koskinen, S. (Seppo), Kouda, K. (Katsuyasu), Koziel, S. (Slawomir), Kristensen, P. L. (Peter Lund), Krokstad, S. (Steinar), Kromhout, D. (Daan), Kruger, H. S. (Herculina S.), Kubinova, R. (Ruzena), Kuciene, R. (Renata), Kuh, D. (Diana), Kujala, U. M. (Urho M.), Kula, K. (Krzysztof), Kulaga, Z. (Zbigniew), Kumar, R. K. (R. Krishna), Kurjata, P. (Pawel), Kusuma, Y. S. (Yadlapalli S.), Kuulasmaa, K. (Kari), Kyobutungi, C. (Catherine), Lachat, C. (Carl), Landrove, O. (Orlando), Lanska, V. (Vera), Lappas, G. (Georg), Larijani, B. (Bagher), Laugsand, L. E. (Lars E.), Le, T. D. (Tuyen D.), Leclercq, C. (Catherine), Lee, J. (Jeannette), Lee, J. (Jeonghee), Lehtimaki, T. (Terho), Lekhraj, R. (Rampal), Leon-Munoz, L. M. (Luz M.), Levitt, N. S. (Naomi S.), Li, Y. (Yanping), Lilly, C. L. (Christa L.), Lim, W.-Y. (Wei-Yen), Fernanda Lima-Costa, M. (M.), Lin, H.-H. (Hsien-Ho), Lin, X. (Xu), Linneberg, A. (Allan), Lissner, L. (Lauren), Litwin, M. (Mieczyslaw), Lorbeer, R. (Roberto), Lotufo, P. A. (Paulo A.), Eugenio Lozano, J. (Jose), Luksiene, D. (Dalia), Lundqvist, A. (Annamari), Lunet, N. (Nuno), Lytsy, P. (Per), Ma, G. (Guansheng), Ma, J. (Jun), Machado-Coelho, G. L. (George L. L.), Machi, S. (Suka), Maggi, S. (Stefania), Magliano, D. J. (Dianna J.), Majer, M. (Marjeta), Makdisse, M. (Marcia), Malekzadeh, R. (Reza), Malhotra, R. (Rahul), Rao, K. M. (Kodavanti Mallikharjuna), Malyutina, S. (Sofia), Manios, Y. (Yannis), Mann, J. I. (Jim I.), Manzato, E. (Enzo), Margozzini, P. (Paula), Marques-Vidal, P. (Pedro), Marrugat, J. (Jaume), Martorell, R. (Reynaldo), Mathiesen, E. B. (Ellisiv B.), Matijasevich, A. (Alicia), Matsha, T. E. (Tandi E.), Mbanya, J. C. (Jean Claude N.), Posso, A. J. (Anselmo J. Mc Donald), McFarlane, S. R. (Shelly R.), McGarvey, S. T. (Stephen T.), McLachlan, S. (Stela), McLean, R. M. (Rachael M.), McNulty, B. A. (Breige A.), Khir, A. S. (Amir Sharifuddin Md), Mediene-Benchekor, S. (Sounnia), Medzioniene, J. (Jurate), Meirhaeghe, A. (Aline), Meisinger, C. (Christa), Menezes, A. M. (Ana Maria B.), Menon, G. R. (Geetha R.), Meshram, I. I. (Indrapal I.), Metspalu, A. (Andres), Mi, J. (Jie), Mikkel, K. (Kairit), Miller, J. C. (Jody C.), Francisco Miquel, J. (Juan), Jaime Miranda, J. (J.), Misigoj-Durakovic, M. (Marjeta), Mohamed, M. K. (Mostafa K.), Mohammad, K. (Kazem), Mohammadifard, N. (Noushin), Mohan, V. (Viswanathan), Yusoff, M. F. (Muhammad Fadhli Mohd), Moller, N. C. (Niels C.), Molnar, D. (Denes), Momenan, A. (Amirabbas), Monyeki, K. D. (Kotsedi Daniel K.), Moreira, L. B. (Leila B.), Morejon, A. (Alain), Moreno, L. A. (Luis A.), Morgan, K. (Karen), Moschonis, G. (George), Mossakowska, M. (Malgorzata), Mostafa, A. (Aya), Mota, J. (Jorge), Motlagh, M. E. (Mohammad Esmaeel), Motta, J. (Jorge), Muiesan, M. L. (Maria L.), Mueller-Nurasyid, M. (Martina), Murphy, N. (Neil), Mursu, J. (Jaakko), Musil, V. (Vera), Nagel, G. (Gabriele), Naidu, B. M. (Balkish M.), Nakamura, H. (Harunobu), Namsna, J. (Jana), Nang, E. E. (Ei Ei K.), Nangia, V. B. (Vinay B.), Narake, S. (Sameer), Maria Navarrete-Munoz, E. (Eva), Ndiaye, N. C. (Ndeye Coumba), Neal, W. A. (William A.), Nenko, I. (Ilona), Nervi, F. (Flavio), Nguyen, N. D. (Nguyen D.), Nieto-Martinez, R. E. (Ramfis E.), Niiranen, T. J. (Teemu J.), Ning, G. (Guang), Ninomiya, T. (Toshiharu), Nishtar, S. (Sania), Noale, M. (Marianna), Noboa, O. A. (Oscar A.), Noorbala, A. A. (Ahmad Ali), Norat, T. (Teresa), Noto, D. (Davide), Al Nsour, M. (Mohannad), O'Reilly, D. (Dermot), Oh, K. (Kyungwon), Olinto, M. T. (Maria Teresa A.), Oliveira, I. O. (Isabel O.), Omar, M. A. (Mohd Azahadi), Onat, A. (Altan), Ordunez, P. (Pedro), Osmond, C. (Clive), Ostojic, S. M. (Sergej M.), Otero, J. A. (Johanna A.), Overvad, K. (Kim), Owusu-Dabo, E. (Ellis), Paccaud, F. M. (Fred Michel), Padez, C. (Cristina), Pahomova, E. (Elena), Pajak, A. (Andrzej), Palli, D. (Domenico), Palmieri, L. (Luigi), Panda-Jonas, S. (Songhomitra), Panza, F. (Francesco), Papandreou, D. (Dimitrios), Parnell, W. R. (Winsome R.), Parsaeian, M. (Mahboubeh), Pecin, I. (Ivan), Pednekar, M. S. (Mangesh S.), Peer, N. (Nasheeta), Peeters, P. H. (Petra H.), Peixoto, S. V. (Sergio Viana), Pelletier, C. (Catherine), Peltonen, M. (Markku), Pereira, A. C. (Alexandre C.), Marina Perez, R. (Rosa), Peters, A. (Annette), Petkeviciene, J. (Janina), Pigeot, I. (Iris), Pikhart, H. (Hynek), Pilav, A. (Aida), Pilotto, L. (Lorenza), Pitakaka, F. (Freda), Plans-Rubio, P. (Pedro), Polakowska, M. (Maria), Polasek, O. (Ozren), Porta, M. (Miquel), Portegies, M. L. (Marileen L. P.), Pourshams, A. (Akram), Pradeepa, R. (Rajendra), Prashant, M. (Mathur), Price, J. F. (Jacqueline F.), Puiu, M. (Maria), Punab, M. (Margus), Qasrawi, R. F. (Radwan F.), Qorbani, M. (Mostafa), Radic, I. (Ivana), Radisauskas, R. (Ricardas), Rahman, M. (Mahfuzar), Raitakari, O. (Olli), Raj, M. (Manu), Rao, S. R. (Sudha Ramachandra), Ramos, E. (Elisabete), Rampal, S. (Sanjay), Rangel Reina, D. A. (Daniel A.), Rasmussen, F. (Finn), Redon, J. (Josep), Reganit, P. F. (Paul Ferdinand M.), Ribeiro, R. (Robespierre), Riboli, E. (Elio), Rigo, F. (Fernando), de Wit, T. F. (Tobias F. Rinke), Ritti-Dias, R. M. (Raphael M.), Robinson, S. M. (Sian M.), Robitaille, C. (Cynthia), Rodriguez-Artalejo, F. (Fernando), Rodriguez-Villamizar, L. A. (Laura A.), Rojas-Martinez, R. (Rosalba), Rosengren, A. (Annika), Rubinstein, A. (Adolfo), Rui, O. (Ornelas), Sandra Ruiz-Betancourt, B. (Blanca), Russo Horimoto, A. R. (Andrea R. V.), Rutkowski, M. (Marcin), Sabanayagam, C. (Charumathi), Sachdev, H. S. (Harshpal S.), Saidi, O. 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(Frederick C.), Wu, S. L. (Shou Ling), Xu, H. (Haiquan), Yan, W. (Weili), Yang, X. (Xiaoguang), Ye, X. (Xingwang), Yiallouros, P. K. (Panayiotis K.), Yoshihara, A. (Akihiro), Younger-Coleman, N. O. (Novie O.), Yusoff, A. F. (Ahmad F.), Zambon, S. (Sabina), Zdrojewski, T. (Tomasz), Zeng, Y. (Yi), Zhao, D. (Dong), Zhao, W. (Wenhua), Zheng, Y. (Yingffeng), Zhu, D. (Dan), Zimmermann, E. (Esther), and Zuniga Cisneros, J. (Julio)
Abstract: Background: Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods: For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings: We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7–128.3) in men and 122.3 mm Hg (121.0–123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9–79.5) for men and 76.7 mm Hg (75.9–77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4–27.1) in men and 20.1% (17.8–22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in
Published: 2017

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

Author: Rodriguez-Martinez, Andrea, Zhou, Bin, Sophiea, Marisa K, Bentham, James, Paciorek, Christopher J, Iurilli, Maria LC, Carrillo-Larco, Rodrigo M, Bennett, James E, Di Cesare, Mariachiara, Taddei, Cristina, Bixby, Honor, Stevens, Gretchen A, Riley, Leanne M, Cowan, Melanie J, Savin, Stefan, Danaei, Goodarz, Chirita-Emandi, Adela, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Malekzadeh, Reza, Miranda, J Jaime, Moon, Jin Soo, Popovic, Stevo R, Sorensen, Thorkild IA, Soric, Maroje, Starc, Gregor, Zainuddin, Ahmad A, Gregg, Edward W, Bhutta, Zulfiqar A, Black, Robert, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, 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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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Banach M., Bandosz P., Banegas J.R., Baran J., Barbagallo C.M., Barcelo A., Barkat A., Barros A.J., 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., Ben Romdhane H., Benedics J., Benet M., Berkinbayev S., Bernabe-Ortiz A., Bernotiene G., Bettiol H., Bezerra J., Bhagyalaxmi A., Bharadwaj S., Bhargava S.K., Bi H., Bi Y., Bia D., Bika Lele E.C., Bikbov M.M., Bista B., Bjelica D.J., Bjerregaard P., Bjertness E., Bjertness M.B., Bjorkelund 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., Bovet P., Braeckevelt L., Braeckman L., Bragt M.C., Brajkovich I., Branca F., Breckenkamp J., Breda J., Brenner H., Brewster L.M., Brian G.R., Brinduse L., Brophy S., Bruno G., Bueno-de-Mesquita H.B., Bugge A., Buoncristiano M., Burazeri G., Burns C., Cabrera de Leon A., Cacciottolo J., Cai H., Cama T., Cameron C., Camolas J., Can G., Candido A.P.C., Canete F., Capanzana M.V., Capkova N., Capuano E., Capuano V., Cardol M., Cardoso V.C., Carlsson A.C., Carmuega E., Carvalho J., Casajus 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., 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 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., D'Arrigo G., d'Orsi E., Dacica L., Dal Re Saavedra M.A., Dallongeville J., Damasceno A., 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., Dehghan A., Delisle H., Delpeuch F., Demarest S., Dennison E., Deren K., Deschamps V., Dhana K., Dhimal M., Di Castelnuovo A.F., Dias-da-Costa J.S., Diaz-Sanchez M.E., Diaz A., Dika Z., Djalalinia S., Djordjic V., Do H.T., Dobson A.J., Donati M.B., Donfrancesco C., Donoso S.P., Doring A., Dorobantu M., Dorosty A.R., Doua K., 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., El Ati J., 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 Pena J., Eslami S., Esmaeili A., Evans A., Faeh D., Fakhretdinova A.A., Fall C.H., Faramarzi E., Farjam M., Farrugia Sant'Angelo V., Farzadfar F., Fattahi M.R., Fawwad A., Felix-Redondo F.J., Ferguson T.S., Fernandes R.A., Fernandez-Berges D., Ferrante D., Ferrao T., Ferrari M., Ferrario M.M., Ferreccio C., Ferrer E., Ferrieres J., Figueiro T.H., Fijalkowska A., Fink G., Fischer K., Foger B., Foo L.H., Forsner M., Fouad H.M., Francis D.K., Franco M.D.C., Franco O.H., 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., Garcia-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., Goldsmith R.A., 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Henrique R.D.S., Henriques A., Hernandez Cadena L., Herrala S., Herrera V.M., Herter-Aeberli I., Heshmat R., Hill A.G., Ho S.Y., Ho S.C., Hobbs M., Hofman A., Holden Bergh I., Holdsworth M., Homayounfar R., Homs C., Hopman W.M., Horimoto A.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., Huidumac Petrescu C., Husseini A., Huu C.N., Huybrechts I., Hwalla N., Hyska J., Iacoviello L., Ibarluzea J.M., Ibrahim M.M., Ibrahim Wong N., Ikeda N., Ikram M.A., Iotova V., Irazola V.E., Ishida T., Islam M., Islam S.M.S., Iwasaki M., Jackson R.T., 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., Jockel K.-H., Joffres M., Johansson M., Jokelainen J.J., Jonas J.B., Jorgensen T., Joshi P., Joukar F., Jovic D.P., Jozwiak J.J., Juolevi A., Jurak G., Jurca Simina I., Juresa V., Kaaks R., Kaducu F.O., Kafatos A., Kajantie E.O., Kalmatayeva Z., Kalter-Leibovici O., Kameli Y., Kanala K.R., Kannan S., Kapantais E., Karki K.B., Katibeh M., Katz J., Katzmarzyk P.T., Kauhanen J., Kaur P., Kavousi M., Kazakbaeva G.M., Keil U., Keinan Boker L., Keinanen-Kiukaanniemi S., Kelishadi R., Kelleher C., Kemper H.C., 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., 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., Konig J., Korpelainen R., Korrovits P., Korzycka M., Kos J., Koskinen S., Kouda K., Kovacs V.A., Kowlessur S., Koziel S., Kratzer W., Kriemler S., Kristensen P.L., Krokstad S., Kromhout D., Krtalic B., Kruger H.S., Kubinova R., Kuciene R., Kujala U.M., Kujundzic E., Kulaga Z., Kumar R.K., Kunesova 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 Nguyen Bao K., Le Port A., Le T.D., Lee J., Lee P.H., Lehmann N., Lehtimaki 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 J., 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., Lustigova M., Luszczki E., Ma G., Ma J., Ma X., Machado-Coelho G.L., Machado-Rodrigues A.M., Machi S., Macieira L.M., Madar A.A., Maggi S., Magliano D.J., Magnacca S., Magriplis E., Mahasampath G., Maire B., Majer M., Makdisse M., Maki P., Malekzadeh F., Malhotra R., Mallikharjuna Rao K., Malyutina S.K., Maniego L.V., Manios Y., Mann J.I., Mansour-Ghanaei F., Manzato E., Margozzini P., Markaki A., Markey O., Markidou Ioannidou E., Marques-Vidal P., Marques L.P., Marrugat J., Martin-Prevel Y., Martin R., Martorell R., Martos E., Marventano S., Mascarenhas L.P., Masoodi S.R., Mathiesen E.B., Mathur P., Matijasevich A., Matsha T.E., Mavrogianni C., Mazur A., Mbanya J.C.N., McFarlane S.R., McGarvey S.T., McKee M., McLachlan S., McLean R.M., McLean S.B., McNulty B.A., Mediene-Benchekor S., Medzioniene J., Mehdipour P., Mehlig K., Mehrparvar A.H., Meirhaeghe A., Meisfjord J., Meisinger C., Menezes A.M.B., Menon G.R., Mensink G.B., Menzano M.T., Mereke A., Meshram I.I., Metspalu A., Mi J., Michaelsen K.F., Michels N., Mikkel K., Milkowska K., Miller J.C., Minderico C.S., Mini G.K., Miquel J.F., Mirjalili M.R., Mirkopoulou D., Mirrakhimov E., Misigoj-Durakovic M., Mistretta A., Mocanu V., Modesti P.A., Moghaddam S.S., Mohajer B., Mohamed M.K., Mohamed S.F., Mohammad K., Mohammadi Z., Mohammadifard N., Mohammadpourhodki R., Mohan V., Mohanna S., Mohd Yusoff M.F., Mohebbi I., Mohebi F., Moitry M., Molbo D., Mollehave L.T., Moller N.C., Molnar D., Momenan A., Mondo C.K., Monroy-Valle M., Monterrubio-Flores E., Monyeki K.D.K., 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., Mugosa B., Muiesan M.L., Mukhtorova P., Muller-Nurasyid M., Murphy N., Mursu J., Murtagh E.M., Musa K.I., Music Milanovic S., Musil V., Mustafa N., Nabipour I., Naderimagham S., Nagel G., Naidu B.M., Najafi F., Nakamura H., Namesna J., Nang E.E.K., Nangia V.B., Nankap M., Narake S., Nardone P., Nauck M., Neal W.A., Nejatizadeh A., Nelis K., Nelis L., Nenko I., Neovius M., Nervi F., Nguyen C.T., Nguyen D., Nguyen Q.N., Nieto-Martinez 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., Nsour M.A., Nuhoglu I., Nurk E., O'Neill T.W., O'Reilly D., Obreja G., Ochimana C., Ochoa-Aviles A.M., Oda E., Oh K., Ohara K., Ohlsson C., Ohtsuka R., Olafsson O., Olinto M.T.A., Oliveira I.O., Omar M.A., Onat A., Ong S.K., Ono L.M., Ordunez P., Ornelas R., Ortiz A.P., Ortiz P.J., Osler M., Osmond C., Ostojic S.M., Ostovar A., Otero J.A., Overvad K., Owusu-Dabo E., Paccaud F.M., Padez C., Pagkalos I., Pahomova E., Paiva K.M.D., Pajak A., Palli D., Palloni A., Palmieri L., Pan W.-H., Panda-Jonas S., Pandey A., Panza F., Papandreou D., Park S.-W., Park S., Parnell W.R., Parsaeian M., Pascanu I.M., Pasquet P., Patel N.D., Pednekar M.S., Peer N., Peixoto S.V., Peltonen M., Pereira A.C., Peres M.A., Perez-Farinos N., Perez C.M., Peterkova V., Peters A., Petersmann A., Petkeviciene J., Petrauskiene A., Pettenuzzo E., Peykari N., Pham S.T., Pichardo R.N., Pierannunzio D., Pigeot I., Pikhart H., Pilav A., Pilotto L., Pistelli F., Pitakaka F., Piwonska A., Pizarro A.N., Plans-Rubio P., Poh B.K., Pohlabeln H., Pop R.M., Porta M., Posch G., Poudyal A., Poulimeneas D., Pouraram H., Pourfarzi F., Pourshams A., Poustchi H., Pradeepa R., Price A.J., Price J.F., Providencia R., Puder J.J., Pudule I., Puhakka S.E., Puiu M., Punab M., Qasrawi R.F., Qorbani M., Quoc Bao T., Radic I., Radisauskas R., Rahimikazerooni S., Rahman M., Raitakari O., Raj M., Rakhimova E., Rakhmatulloev S., Rakovac I., Ramachandra Rao S., Ramachandran A., Ramke J., Ramos E., Ramos R., Rampal L., Rampal S., Rarra V., Rascon-Pacheco R.A., Rasmussen M., Rech C.R., Redon J., Reganit P.F.M., Regecova V., Revilla L., Rezaianzadeh A., Ribas-Barba L., Ribeiro R., Riboli E., Richter A., Rigo F., Rinaldo N., Rinke de Wit T.F., Rito A., Ritti-Dias R.M., Rivera J.A., Robitaille C., Roccaldo R., Rodrigues D., Rodriguez-Artalejo F., Rodriguez-Perez M.D.C., Rodriguez-Villamizar L.A., Roggenbuck U., Rojas-Martinez R., Rojroongwasinkul N., Romaguera D., Romeo E.L., Rosario 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.
Subjects: Male, body-mass index, ADULTHOOD, Adolescents, pituuskasvu, Pediatrics, Body Mass Index, 0302 clinical medicine, Child Development, nuoret, Public health surveillance, Medicine, Health Status Indicators, 10. No inequality, Child, 11 Medical and Health Sciences, Body mass index, ComputingMilieux_MISCELLANEOUS, education.field_of_study, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, General Medicine, Body mass indexes, kansainvälinen vertailu, 3. Good health, Geography, Health, 030220 oncology & carcinogenesis, Child, Preschool, Medical and Health sciences, purl.org/becyt/ford/3 [https], medicine.medical_specialty, School-aged adolescents, Socio-culturale, lapset (ikäryhmät), Nursing, territories, ravinto, purl.org/becyt/ford/3.3 [https], 03 medical and health sciences, School Children, SDG 3 - Good Health and Well-being, SYSTEMATIC ANALYSIS, Humans, school-aged children and adolescents, Montenegro, education, Science & Technology, Omvårdnad, Health sciences, Medical and Health sciences, Ciências médicas e da saúde, Bayes Theorem, Anthropometry, Adolescent Development, medicine.disease, TRENDS, Height and Body-mass Index, Faculdade de Ciências Sociais, UNDERNUTRITION, Height index trajectories, Height, body mass index, children , epidemiology, risk factors, growth, Stature, Demography, Settore MED/09 - Medicina Interna, Internationality, [SDV]Life Sciences [q-bio], 030204 cardiovascular system & hematology, Body-mass index trajectories, Epidemiology, Medicine and Health Sciences, risk factors, countries, EPIDEMIOLOGY, height, children, adolescents, BMI, 030212 general & internal medicine, painoindeksi, Child development, 2. Zero hunger, Medicine(all), School age child, obestity children cardiovascular, Population Health, 1. No poverty, Pediatrik, Public Health, Global Health, Social Medicine and Epidemiology, 3142 Public health care science, environmental and occupational health, Pooled analysis, NUTRITION, Female, medicine.symptom, pooled analysis, Life Sciences & Biomedicine, terveys, height, BMI, nutrition, health, children, adolescents, Adolescent, growth, Population, body-mass, Population based, Body-mass index, Young Adult, Medicine, General & Internal, Meta-Analysis as Topic, General & Internal Medicine, parasitic diseases, Weight gain, School-aged childrens, Age trajectories, business.industry, Height, Weight, Body Height, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, ONSET, Ciências da Saúde, Ciências médicas e da saúde, School-aged children, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, business, terveysriskit, Estilos de Vida e Impacto na Saúde
Abstract: BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents., METHODS: For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence., FINDINGS: We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls., INTERPRETATION: The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks., Wellcome Trust, AstraZeneca Young Health Programme, EU., peer-reviewed
Published: 2020
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7. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants

Author: Cesare, Mariachiara Di, Bentham, James, Stevens, Gretchen A., Zhou, Bin, Danaei, Goodarz, Lu, Yuan, Bixby, Honor, Cowan, Melanie J., Riley, Leanne M., Hajifathalian, Kaveh, Fortunato, Lea, Taddei, C., Bennett, James E., Ikeda, Nayu, Khang, Young-Ho, Kyobutungi, Catherine, Laxmaiah, Avula, Li, Yanping, Lin, Hsien-Ho, Miranda, J. Jaime, Mostafa, Aya, Turley, Maria L., Paciorek, Christopher J., Gunter, Marc, Ezzati, Majid, Abdeen, Ziad A., Hamid, Zargar Abdul, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert, Aekplakorn, Wichai, Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahrens, Wolfgang, Ali, Farhan, Alkerwi, Ala'a, Alvarez-Pedrerol, Mar, Aly, Eman, Amouyel, Philippe, Amuzu, Antoinette, Andersen, Lars Bo, Anderssen, Sigmund A., Andrade, Dolores S., Anjana, Ranjit Mohan, Aounallah-Skhiri, Hajer, Ariansen, Inger, Aris, Tahir, Arlappa, Nimmathota, Arveiler, Dominique, Assah, Felix K., Avdicova, Maria, Azizi, Fereidoun, Babu, Bontha V., Balakrishna, Nagalla, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Mauro V., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Baur, Louise A., Beaglehole, Robert, Romdhane, H. B., Benet, Mikhail, Bernabe-Ortiz, Antonio, Bernotine, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bhatti, Zaid, Bhutta, Zulfiqar A., Bi, HongSheng, Bi, Yufang, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blake, Margaret, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boissonnet, Carlos P., Bongard, Vanina, Bovet, Pascal, Bradbury, Mark, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Bruno, Graziella, Bueno-de-Mesquita, H. B., Bugge, Anna, Burns, C., Leon, Antonio Cabrera de, Cacciottolo, Joseph, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gunay, Candido, Ana Paula C., Capuano, Vincenzo, Cardoso, Viviane C., Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Castetbon, Katia, Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Chen, Chien-Jen, Chen, Fangfang, Chen, Shuohua, Chen, Y. Z., Cheng, Ching-Yu, Chetrit, Angela, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Cho, Yumi, Christensen, Kaare, Chudek, Jerzy, Cifkova, Renata, Claessens, Frank, Clays, Els, Concin, Hans, Cooper, Cyrus, Cooper, Rachel, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crujeiras, Ana B., D'Arrigo, Graziella, d'Orsi, Eleonora, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dauchet, Luc, Backer, Guy De, Bacquer, Dirk De, Gaetano, Giovanni de, Hanauw, Stefaan De, Smedt, Delphine De, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Dhana, Klodian, Castelnuovo, Augusto F. Di, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Djalalinia, Shirin, Do, Ha T. P., Dobson, Annette J., Donfrancesco, Chiara, Döring, A., Doua, Kouamelan, Drygas, Wojciech, Egbagbe, Eruke E., Eggertsen, Robert, Ekelund, Ulf, Ati, Jalila El, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T., Erem, Cihangir, Eriksen, Louise, Peña, J. E. De La, Evans, Alun, Faeh, David, Fall, Caroline H., Farzadfar, Farshad, Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrieres, Jean, Finn, Joseph D., Fischer, Krista, Flores, E. M., Foeger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Fortmann, Stephen P., Fouad, Heba M., Francis, Damian K., Franco, M. Do Carmo, Franco, Oscar H., Frontera, Guillermo, Fuchs, Flavio D., Fuchs, Sandra C., Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Geleijnse, Johanna M., Ghasemian, Anoosheh, Giampaoli, Simona, Gianfagna, Francesco, Giovannelli, Jonathan, Giwercman, Aleksander, Goldsmith, Rebecca A., Gross, M. G., Rivas, J. P. G., Gorbea, M. B., Gottrand, Frederic, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Grodzicki, Tomasz, Grontved, Anders, Gruden, Grabriella, Grujic, Vera, Gu, Dongfeng, Guan, Ong Peng, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Guo, Xiu H., Guo, Yin, Gupta, Prakash C., Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Halkjaer, Jytte, Hardy, Rebecca, Kumar, Rachakulla Hari, Hayes, Alison J., He, Jiang, Hendriks, Marleen Elisabeth, Cadena, L. H., Heshmat, Ramin, Hihtaniemi, Ilpo Tapani, Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Hofman, Albert, Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Hussieni, Abdullatif S., Huu, C. N., Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iannone, Anna G., Ibrahim, Mohsen M., Ikram, M. Arfan, Irazola, Vilma E., Islam, Muhammad, Iwasaki, Masanori, Jackson, Rod T., Jacobs, Jeremy M., Jafar, Tazeen, Jamil, Kazi M., Jamrozik, Konrad, Jasienska, Grazyna, Jiang, Chao Qiang, Joffres, Michel, Johansson, Mattias, Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kalter-Leibovici, Ofra, Kapantais, Efthymios, Kasaeian, Amir, Katz, Joanne, Kaur, Prabhdeep, Kavousi, Maryam, Keil, Ulrich, Boker, Lital Keinan, Kelishadi, Roya, Kemper, Han C. G., Kengne, Andre Pascal, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee H., Khouw, Ilse M. S. L., Kiechl, Stefan, Killewo, Japhet, Kim, Jeongseon, Kiyohara, Yutaka, Klimont, Jeannette, Kolle, Elin, Kolsteren, Patrick, Korrovits, Paul, Koskinen, Seppo, Kouda, Katsuyasu, Koziel, Slawomir, Kratzer, Wolfgang, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S., Kula, Krzysztof, Kulaga, Zbigniew, Kumar, R. Krishna, Kusuma, Yadlapalli S., Kuulasmaa, Kari, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Landrove, Orlando, Lanska, Vera, Lappas, Georg, Laugsand, Lars E., Bao, K. Le Nguyen, Le, Tuyen D., Leclercq, Catherine, Lee, Jeannette, Lehtimaki, Terho, Lekhraj, Rampal, Leon-Munoz, Luz M., Lim, Wei-Yen, Lima-Costa, M. F., Lin, Xu, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Lorbeer, Roberto, Lotufo, Paulo A., Lozano, J. E., Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lytsy, Per, Ma, Guansheng, Machi, Suka, Maggi, Stefania, Magliano, Dianna J., Makdisse, Marcia, Malekzadeh, Reza, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Manios, Yannis, Mann, Jim I., Manzato, Enzo, Margozzini, Paula, Markey, Oonagh, Marques-Vidal, Pedro, Marrugat, Jaume, Martin-Prevel, Yves, Martorell, Reynaldo, Masoodi, Shariq R., Matsha, Tandi E., Mazur, Artur, Mbanya, Jean Claude N., McFarlane, Shelly R., McGarvey, Stephen T., McKee, Martin, McLachlan, Stela, McLean, Rachael M., McNulty, Breige A., Yusof, S. Md, Mediene-Benchekor, Sounnia, Meirhaeghe, Aline, Meisinger, Christa, Mendes, Larissa L., Menezes, Ana Maria B., Mensink, Gert B. M., Meshram, Indrapal I., Metspalu, Andres, Mi, Jie, Michaelsen, Kim F., Mikkel, Kairit, Miller, Jody C., Miquel, J. F., Misigoj-Durakovic, Marjeta, Mohamed, Mostafa K., Mohammad, Kazem, Mohammadifard, Noushin, Mohan, Viswanathan, Yusoff, Muhammad Fadhli Mohd, Molbo, Drude, Moller, Niels C., Molnar, Denes, Mondo, Charles K., Monterrubio, Eric A., Monyeki, Kotsedi Daniel K., Moreira, Leila B., Morejon, Alain, Moreno, Luis A., Morgan, Karen, Mortensen, Erik Lykke, Moschonis, George, Mossakowska, Malgorzata, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Mu, Thet Thet, Muiesan, Maria Lorenza, Mueller-Nurasyid, Martina, Murphy, Neil, Mursu, Jaakko, Murtagh, Elaine M., Musa, Kamarul Imran, Musil, Vera, Nagel, Gabriele, Nakamura, Harunobu, Namesna, Jana, Nang, E. E. K., Nangia, Vinay B., Nankap, Martin, Narake, Sameer, Navarrete-Muñoz, E. 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T., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Piwonski, J., Plans-Rubio, Pedro, Poh, Bee Koon, Porta, Miquel, Portegies, Marileen L. P., Poulimeneas, Dimitrios, Pradeepa, Rajendra, Prashant, Mathur, Price, Jacqueline F., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Bao, T. Q., Radic, Ivana, Radisauskas, Ricardas, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramke, Jacqueline, Ramos, Rafel, Rampal, Sanjay, Rasmussen, Finn, Redon, Josep, Reganit, Paul Ferdinand M., Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, Wit, Tobias Floris Rinke de, Ritti-Dias, Raphael M., Rivera, Juan A., Robinson, Sian M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, Rodriguez-Perez, Maria del Cristo, Rodriguez-Villamizar, Laura A., Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Ronkainen, Kimmo, Rosengren, Annika, Rouse, Ian, Rubinstein, Adolfo, Ruhli, Frank J., Rui, Ornelas, Ruiz-Betancourt, B. S., Horimoto, Andrea R. V. Russo, Rutkowski, Marcin, Sabanayagam, Charumathi, Sachdev, Harshpal S., Saidi, Olfa, Salanave, Benoit, Martinez, E. 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Goya, Wareham, Nicholas, Weerasekera, Deepa, Whincup, Peter H., Widhalm, Kurt, Widyahening, Indah S., Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Wojtyniak, Bogdan, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C., Wu, Jianfeng, Wu, Shou Ling, Xu, Haiquan, Xu, Liang, Yamborisut, Uruwan, Yan, Weili, Yang, Xiaoguang, Yardim, Nazan, Ye, Xingwang, Yiallouros, Panayiotis K., Yoshihara, Akihiro, You, Qi Sheng, Younger-Coleman, Novie O., Yusoff, Ahmad F., Zainuddin, Ahmad A., Zambon, Sabina, Zdrojewski, Tomasz, Zeng, Yi, Zhao, Dong, Zhao, Wenhua, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Dan, Zimmermann, Esther, Cisneros, Julio Zuniga, NCD Risk Factor Collaboration (NCD-RisC), Di Cesare, M., Bentham, J., Stevens, G.A., Zhou, B., Danaei, G., Lu, Y., Bixby, H., Cowan, M.J., Riley, L.M., Hajifathalian, K., Fortunato, L., Taddei, C., Bennett, J.E., Ikeda, N., Khang, Y.H., Kyobutungi, C., Laxmaiah, A., Li, Y., Lin, H.H., Miranda, J.J., Mostafa, A., Turley, M.L., 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[0000-0002-8339-9285], NCD Risk Factor Collaboration (ukupan broj autora: 754), Repositório da Universidade de Lisboa, Di Cesare M, Bentham J, Stevens GA, Zhou B, Danaei G, Lu Y, Bixby H, Cowan MJ, Riley LM, Hajifathalian K, Fortunato L, Taddei C, Bennett JE, Ikeda N, Khang Y-O, Kyobutungi C, Laxmaiah A, Li Y, Lin H-O, Miranda JJ, Mostafa A, Turley ML, Gunter M, Ezzati M, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Adams R, Aekplakorn W, Aguilar-Salinas CA, Ahmadvand A, Ahrens W, Ali MM, Ala'a Alkerwi A, Alvarez-Pedrerol M, Aly E, Amouyel P, Antoinette Amuzu A, Andersen LB, Anderssen SA, Andrade DS, Anjana RM, Aounallah-Skhiri H, Ariansen I, Aris T, Arlappa N, Arveiler D, Assah FK, Avdicová M, Azizi F, Babu BV, Balakrishna N, Bandosz P, Banegas. 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M, McLachlan S, McLean RM, McNulty BA, Md Yusof S, Mediene-Benchekor S, Meirhaeghe A, Meisinger A, Mendes LL, Menezes AMB, Mensink GBM, Meshram II, Metspalu A, Mi JM, Michaelsen KF, Miller JC, Miquel JF, Mišigoj-Duraković M, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohd Yusoff MF, Molbo D, Møller NC, Molnár D, Mondo CK, Monterrubio EA, Monyeki KDK, Leila B Moreira LB, Morejon A, Moreno LA, Morgan K, Mortensen EL, Moschonis G, Mossakowska M, Mota J, Motlagh ME, Motta J, Mu TT, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musa KI, Musil V, Nagel G, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Navarrete-Muñoz EM, Nenko I, Neovius M, Nervi F, Neuhauser HK, Nguyen ND, Ngoc Nguyen Q, Nieto-Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Norat T, Noto D, Al Nsour M, O'Reilly D, Ochoa-Avilés AM, Oh K, Olayan IH, Olinto MTA, Oltarzewski M, Omar MA, Onat A, Ordunez P, Ortiz AP, Osler M, Osmond C, Ostojic AM, Otero JA, Overvad K, Paccaud F, Padez C, Pajak A, Palli D, Palloni A, Palmieri L, Panda-Jonas S, Panza F, Parnell WR, Parsaeian M, Pednekar MS, Peeters PH, Peixoto SV, Pereira AC, Pérez CM, Peters A, Peykari N, Pham ST, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Piwonski J, Pedro Plans-Rubió P, Poh BK, Porta M, Portegies MLP, Poulimeneas D, Pradeepa R, Prashant M, Price JF, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radic I, Ricardas Radisauskas R, Rahman M, Raitakari O, Raj M, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos R, Rampal S, Rasmussen F, Redon J, Reganit PFM, Robespierre Ribeiro R, Riboli E, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Juan A Rivera JA, Robinson SM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MdC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Ronkainen K, Rosengren A, Rouse I, Rubinstein A, Rühli FJ, Rui O, Ruiz-Betancourt BS, Russo Horimoto ARV, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Salanave B, Salazar Martinez E, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja A, Sans S, Santos DA, Santos O, dos Santos RN, Santos R, Sardinha LB, Sarrafzadegan N, Saum K-U, Savva SC, Scazufca M, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schmidt IM, Schneider IJ, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Shalnova SA, Shaw JE, Shibuya K, Shin Y, Shiri R, Siantar R, Sibai AM, Silva AM, Simon M, Simons J, Simons LA, Sjostrom M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So H-K, Sobngwi E, Söderberg S, Soekatri MYE, Solfrizzi V, Sonestedt E, Sørensen TIA, Sorić M, Sossa Jérome C, Soumare A, Staessen JA, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Strufaldi MW, Chien-An Sun C-A, Sundström J, Sung Y-T, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Szponar L, E Shyong Tai E, Tammesoo M-L, Tamosiunas A, Tang L, Tang X, Tanser F, Tao Y, Tarawneh M, Jakob Tarp J, Tarqui-Mamani CB, Taylor A, Félicité Tchibindat F, Thijs L, Thuesen BH, Tjonneland A, Tolonen HK, Janne S Tolstrup JS, Topbas M, Topór-Madry R, Torrent M, Traissac P, Trichopoulos D, Trinh OTH, Trivedi A, Tshepo L, Tulloch-Reid MK, Tuomainen T-P, Tuomilehto J, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ukoli FAM, Ulmer H, Unal B, Valdivia G, Susana Va S, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Vatten L, Vega T, Velasquez-Melendez G, Veronesi G, Verschuren WMM, Viegi G, Viet L, Viikari-Juntura E, Vineis P, Vioque P, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vollenweider P, Voutilainen S, Vrijheid M, Wade AN, Wagner A, Walton J, Wan Mohamud WN, Wang M-D, Wang Q, Wang YX, Wannamethee SG, Wareham N, Deepa Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wilks RJ, Willeit J, Wojtyniak B, Wong, Wong TY, Woo J, Woodward M, Wu FC, JianFeng Wu JF, Wu SL, Xu H, Xu L, Yamborisut U, Yan W, Yang X, Yardim N, Ye X, Yiallouros PK, Yoshihara A, Qi Sheng You QS, Younger-Coleman NO, Yusoff AF, Ahmad A Zainuddin AA, Zambon S, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng Y, Zhou M, Zhu D, Zimmermann E, Zuñiga Cisneros J, General Internal Medicine, AII - Amsterdam institute for Infection and Immunity, Public and occupational health, Global Health, and APH - Amsterdam Public Health
Subjects: Male, Obesidad, CHILDREN, Salud, Review, países desarrollados, Global Health, Body Mass Index, Body mass index, population study, 0302 clinical medicine, Models, Factores de riesgo cardiovascular, Medicine, body mass index, underweight, overweight, obesity, Young adult, Human Nutrition & Health, education.field_of_study, Humane Voeding & Gezondheid, General Medicine, ASSOCIATION, 11 Medical And Health Sciences, adulto, predicción, adulto joven, CARDIOVASCULAR-DISEASE, thinness/epidemiology, NONCOMMUNICABLE DISEASES, NCD Risk Factor Collaboration (NCD-RisC), Enfermedades cardiovasculares, Developed country, teorema de Bayes, Medical sciences, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Thinness, Humans, education, Developing Countries, obesidad, VLAG, Science & Technology, Models, Statistical, CAUSE-SPECIFIC MORTALITY, Bayes Theorem, medicine.disease, QP, Obesity, adult body-mass, Indice de masa corporal (IMC), RISK-FACTORS, Adolescent, Adult, Developed Countries, Female, Forecasting, Obesity/epidemiology, Prevalence, Thinness/epidemiology, Young Adult, RA, Body mass index, Demography, Meta-Analysis, Gerontology, Settore MED/09 - Medicina Interna, Nutrition and Disease, humanos, adolescente, Overweight, países en desarrollo, Voeding en Ziekte, Medicine and Health Sciences, Global health, 030212 general & internal medicine, Non-U.S. Gov't, Medicine (all), Research Support, Non-U.S. Gov't, prevalencia, Public Health, Global Health, Social Medicine and Epidemiology, Statistical, Underweight, medicine.symptom, pooled analysis, Life Sciences & Biomedicine, obesity/*epidemiology, Population, 030209 endocrinology & metabolism, Research Support, Medicine, General & Internal, EPIDEMIC, General & Internal Medicine, Journal Article, Life Science, ddc:610, Obesidad morbida, OBESITY PREVENTION, OVERWEIGHT, business.industry, índice de masa corporal, COHORTS, purl.org/pe-repo/ocde/ford#3.02.00 [https], Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Ciencias socio biomédicas, business, delgadez
Abstract: Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY., Background: Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults in all countries. Methods: We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI categories (, Wellcome Trust, Grand Challenges Canada
Published: 2016
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8. A Metabolome-Wide Association Study of fruit and vegetable consumption and associations with cardiovascular risk factors: the INTERMAP study.

Author: Griep LMO, Chekmeneva E, Van Horn L, Chan Q, Daviglus ML, Frost G, Holmes E, Ebbels TMD, and Elliott P
Abstract: Background: Epidemiological evidence linking blood pressure (BP) and body weight-lowering effects with fruit and vegetable consumption mostly relies on self-reported dietary assessment prone to misreport and under- or overestimation of relationships. We characterized objective 24-hr urinary metabolites and a derived metabolite score associated with fruit and vegetable intake and assessed their associations with BP and body mass index (BMI), with validation across cohorts., Methods: We used untargeted proton nuclear magnetic resonance spectroscopy ( 1 H NMR) of two timed repeated 24-hr urine collections from free-living participants from the US (n=2,032) and the UK (n=449) of the cross-sectional International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP). We evaluated correlations between fruit and vegetable intake assessed by 24-hr dietary recalls with 7,100 1 H NMR features, adjusted for confounders and multiple testing. We related identified metabolites and a metabolite score with BP and BMI using extensively adjusted multiple linear regression models., Results: We characterized eleven 1 H NMR-derived 24-hr urinary metabolites related to fruit and vegetable intake, reproducible across multiple 24-hr urine collections of both cohorts. Proline betaine, citrate, N-methylproline, scyllo-inositol, 2-hydroxy-2-(4-methyl cyclohex-3-en-1-yl) propoxyglucuronide, and proline were associated with fruit intake, specifically with Rutaceae intake, while S-methyl-L-cysteine sulfoxide and S-methyl-L-cysteine sulfoxide metabolite were associated with Brassicacea intake. The metabolite score, explaining 39.8% of fruit and vegetable intake, was inversely associated with systolic BP (-1.65 mmHg; 95% confidence interval (CI): -2.68,-0.62, P<0.002) and BMI (-1.21 kg/m 2 ; 95% CI: -1.62,-0.78, P<0.0001). These associations were to a large extent explained by urinary citrate excretion., Conclusion: We identified 1 H NMR-derived urinary metabolites associated with fruit and vegetable consumption, consistent and reproducible between urine collections and across populations. A higher fruit and vegetable-related metabolite score showed associations with lower systolic BP and BMI, mainly mediated by citrate, but would need confirmation in further studies., Study Registration: This study was registered at the clinicaltrials.gov registration (https://clinicaltrials.gov/study/NCT00005271?term=NCT00005271&rank=1) as NCT00005271., 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 © 2024. Published by Elsevier Inc.)
Published: 2024
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9. CATH 2024: CATH-AlphaFlow Doubles the Number of Structures in CATH and Reveals Nearly 200 New Folds.

Author: Waman VP, Bordin N, Alcraft R, Vickerstaff R, Rauer C, Chan Q, Sillitoe I, Yamamori H, and Orengo C
Subjects: Proteins chemistry, Proteins metabolism, Protein Conformation, Models, Molecular, Computational Biology methods, Protein Domains, Animals, Software, Humans, Databases, Protein, Protein Folding
Abstract: CATH (https://www.cathdb.info) classifies domain structures from experimental protein structures in the PDB and predicted structures in the AlphaFold Database (AFDB). To cope with the scale of the predicted data a new NextFlow workflow (CATH-AlphaFlow), has been developed to classify high-quality domains into CATH superfamilies and identify novel fold groups and superfamilies. CATH-AlphaFlow uses a novel state-of-the-art structure-based domain boundary prediction method (ChainSaw) for identifying domains in multi-domain proteins. We applied CATH-AlphaFlow to process PDB structures not classified in CATH and AFDB structures from 21 model organisms, expanding CATH by over 100%. Domains not classified in existing CATH superfamilies or fold groups were used to seed novel folds, giving 253 new folds from PDB structures (September 2023 release) and 96 from AFDB structures of proteomes of 21 model organisms. Where possible, functional annotations were obtained using (i) predictions from publicly available methods (ii) annotations from structural relatives in AFDB/UniProt50. We also predicted functional sites and highly conserved residues. Some folds are associated with important functions such as photosynthetic acclimation (in flowering plants), iron permease activity (in fungi) and post-natal spermatogenesis (in mice). CATH-AlphaFlow will allow us to identify many more CATH relatives in the AFDB, further characterising the protein structure landscape., 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 © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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10. The Role of Diet in the Prevention of Hypertension and Management of Blood Pressure: An Umbrella Review of Meta-Analyses of Interventional and Observational Studies.

Author: Aljuraiban GS, Gibson R, Chan DS, Van Horn L, and Chan Q
Subjects: Animals, Humans, Blood Pressure, Risk Factors, Cardiovascular Diseases prevention & control, Diet, Mediterranean, Hypertension prevention & control
Abstract: High blood pressure (BP) is a major pathological risk factor for the development of several cardiovascular diseases. Diet is a key modifier of BP, but the underlying relationships are not clearly demonstrated. This is an umbrella review of published meta-analyses to critically evaluate the wide range of dietary evidence from bioactive compounds to dietary patterns on BP and risk of hypertension. PubMed, Embase, Web of Science, and Cochrane Central Register of Controlled Trials were searched from inception until October 31, 2021, for relevant meta-analyses of randomized controlled trials or meta-analyses of observational studies. A total of 175 publications reporting 341 meta-analyses of randomized controlled trials (145 publications) and 70 meta-analyses of observational studies (30 publications) were included in the review. The methodological quality of the included publications was assessed using Assessment of Multiple Systematic Reviews 2 and the evidence quality of each selected meta-analysis was assessed using NutriGrade. This umbrella review supports recommended public health guidelines for prevention and control of hypertension. Dietary patterns including the Dietary Approaches to Stop Hypertension and the Mediterranean-type diets that further restrict sodium, and moderate alcohol intake are advised. To produce high-quality evidence and substantiate strong recommendations, future research should address areas where the low quality of evidence was observed (for example, intake of dietary fiber, fish, egg, meat, dairy products, fruit juice, and nuts) and emphasize focus on dietary factors not yet conclusively investigated., Competing Interests: Conflict of interest None of the authors report a conflict of interest related to research presented in this article. QC is an employee and shareholder of Amgen Inc. The work presented here was conducted while QC was an employee of Imperial College London. Amgen Inc. was not involved in this study., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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11. Cross-sectional study of household solid fuel use and renal function in older adults in China.

Author: Kanagasabai T, Carter E, Yan L, Chan Q, Elliott P, Ezzati M, Kelly F, Xie G, Yang X, Zhao L, Guo D, Daskalopoulou SS, Wu Y, and Baumgartner J
Subjects: Aged, Female, Humans, Male, China epidemiology, Cross-Sectional Studies, Glomerular Filtration Rate, Kidney physiology, Prospective Studies, Air Pollution, Renal Insufficiency, Chronic chemically induced, Renal Insufficiency, Chronic epidemiology, Air Pollution, Indoor, Fossil Fuels adverse effects
Abstract: Background: Emerging evidence links outdoor air pollution and declined renal function but the relationship between household air pollution and renal function is not well understood., Methods: Using cross-sectional data from the multi-provincial INTERMAP-China Prospective Study, we collected blood samples and questionnaire information on stove use and socio-demographic factors. We calculated estimated glomerular filtration rate (eGFR) from serum creatinine to assess renal function. Participants with eGFR <60 mL/min per 1.73 m 2 were defined as having chronic kidney disease (CKD) in this analysis. Generalized estimating equations were used to estimate the association of household fuel with renal function and prevalent CKD in models adjusting for confounders., Results: Among the 646 enrolled adults (40-79y; 56% female), one-third exclusively used clean fuel (gas and electric) cookstoves and 11% of northern China participants (n = 49 of 434) used only clean fuel heaters, whereas the rest used solid fuel. In multivariable models, use of solid fuel cookstoves was associated with 0.17 ml/min/1.73 m 2 (95% CI: -0.30, 0.64) higher eGFR and 19% (0.86, 1.64) higher prevalence of CKD than exclusive clean fuel use. Greater intensity of solid fuel use was associated with 0.25 ml/min/1.73 m 2 (-0.71, 0.21) lower eGFR per 5 stove-use years, though the confidence intervals included the null, while greater current intensity of indoor solid fuel use was associated with 1.02 (1.00, 1.04) higher prevalent CKD per 100 stove-use days per year. Larger associations between current solid fuel use and intensity of use with lower eGFR and prevalent CKD were observed among participants in southern China, those with hypertension or diabetes (eGFR only), and females (CKD only), through these groups had small sample sizes and some confidence intervals included the null., Conclusion: We found inconsistent evidence associating household solid fuel use and renal function in this cross-sectional study of peri-urban Chinese adults., 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 © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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12. Circulating plasma phospholipid fatty acid levels as a biomarker of habitual dietary fat intake: The INTERMAP/INTERLIPID Study.

Author: Miyagawa N, Sekikawa A, Miura K, Evans RW, Okuda N, Fujiyoshi A, Yoshita K, Chan Q, Okami Y, Kadota A, Willcox B, Masaki K, Rodriguez B, Sakata K, Nakagawa H, Saitoh S, Okayama A, Kuller LH, Elliott P, Stamler J, and Ueshima H
Subjects: Female, Biomarkers, Diet, Docosahexaenoic Acids, Eicosapentaenoic Acid, Fatty Acids, Humans, Male, Adult, Middle Aged, Fatty Acids, Omega-3, Phospholipids
Abstract: Background: Accurate assessment of fat intake is essential to examine relationships between diet and disease risk. However, estimating individual intakes of fat quantity by dietary assessment is difficult., Objective: We assessed the association of plasma phospholipid fatty acid levels with dietary intake of fatty acids in the INTERMAP/INTERLIPID study, conducted with a standardized protocol., Methods: The study participants were 1339 men and women ages 40-59 years from five Japanese populations one from Hawaii; four from Japan. Fatty acid intake was estimated from four standardized 24-hour dietary recalls. Plasma phospholipid fatty acid composition was analyzed by gas chromatography. We illustrated the relationship between intake and circulating fatty acid levels using Spearman's rank-correlation coefficients, mean, and median values., Results: Spearman's rank-correlation coefficients between intake (g/d) and circulating fatty acid levels (µg/ml) were -0.03 to 0.21 for saturated fatty acids and monounsaturated fatty acids and -0.04 to 0.32 for trans fatty acids. The coefficients for essential n-3 and n-6 fatty acids were moderate to high, especially for eicosapentaenoic acid (EPA), 0.60; docosahexaenoic acid (DHA), 0.41; and EPA+DHA, 0.51. The circulating levels and intake of marine-derived n-3 fatty acids showed a linear association, at least for the intake of EPA+DHA up to 2.1 g/d., Conclusion: We observed high correlation between intake and circulating levels of marine-derived n-3 fatty acids in participants from Japanese and Japanese-American populations with high and low fish intake. Plasma phospholipid marine-derived n-3 fatty acid measurements are a simple and reliable biomarker for assessing dietary intake., Competing Interests: Declaration of Competing Interest The authors have no conflicts., (Copyright © 2022. Published by Elsevier Inc.)
Published: 2023
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13. Partitioning indoor-generated and outdoor-generated PM 2.5 from real-time residential measurements in urban and peri-urban Beijing.

Author: Zhang H, Fan Y, Han Y, Yan L, Zhou B, Chen W, Cai Y, Chan Q, Zhu T, Kelly FJ, and Barratt B
Subjects: Beijing, Environmental Monitoring methods, Particle Size, Particulate Matter analysis, Seasons, Air Pollutants analysis, Air Pollution, Indoor analysis
Abstract: Limited number of projects have attempted to partition and quantify indoor- and outdoor-generated PM 2.5 (PM 2.5 ig and PM 2.5 og ) where strong indoor sources (e.g., solid fuel, tobacco smoke, or kerosene) exist. This study aimed to apply and refine a previous recursive model used to derive infiltration efficiency (F inf ) to additionally partition pollution concentrations into indoor and outdoor origins within residences challenged by elevated ambient and indoor combustion-related sources. During the winter of 2016 and summer of 2017 we collected residential measurements in 72 homes in urban and peri-urban Beijing, 12 of which had additional paired residential outdoor measurements during the summer season. Local ambient measurements were collected throughout. We then compared the calculated PM 2.5 ig and using (i) outdoor and (ii) ambient measurements as model inputs. The results from outdoor and ambient measurements were not significantly different, which suggests that ambient measurements can be used as a model input for pollution origin partitioning when paired outdoor measurements are not available. From the results calculated using ambient measurements, the mean percentage contribution of indoor-generated PM 2.5 was 19 % (σ = 22 %), and 7 % (11 %) of the total indoor PM 2.5 for peri-urban and urban homes respectively during the winter; and 18 % (18 %) and 6 % (10 %) of the total indoor PM 2.5 during the summer. Partitioning pollution into PM 2.5 ig and PM 2.5 og is important to allow investigation of distinct associations between health outcomes and particulate mixes, often with different physiochemical composition and toxicity. It will also inform targeted interventions that impact indoor and outdoor sources of pollution (e.g., domestic fuel switching vs. power generation), which are typically radically different in design and implementation., 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 © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2022
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14. Blood pressure interactions with the DASH dietary pattern, sodium, and potassium: The International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP).

Author: Chan Q, Wren GM, Lau CE, Ebbels TMD, Gibson R, Loo RL, Aljuraiban GS, Posma JM, Dyer AR, Steffen LM, Rodriguez BL, Appel LJ, Daviglus ML, Elliott P, Stamler J, Holmes E, and Van Horn L
Subjects: Blood Pressure physiology, Humans, Micronutrients, Potassium, Sodium, Dietary Approaches To Stop Hypertension, Hypertension, Sodium, Dietary
Abstract: Background: Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet enhances potassium intake and reduces sodium intake and blood pressure (BP), but the underlying metabolic pathways are unclear., Objectives: Among free-living populations, we delineated metabolic signatures associated with the DASH diet adherence, 24-hour urinary sodium and potassium excretions, and the potential metabolic pathways involved., Methods: We used 24-hour urinary metabolic profiling by proton nuclear magnetic resonance spectroscopy to characterize the metabolic signatures associated with the DASH dietary pattern score (DASH score) and 24-hour excretion of sodium and potassium among participants in the United States (n = 2164) and United Kingdom (n = 496) enrolled in the International Study of Macro- and Micronutrients and Blood Pressure (INTERMAP). Multiple linear regression and cross-tabulation analyses were used to investigate the DASH-BP relation and its modulation by sodium and potassium. Potential pathways associated with DASH adherence, sodium and potassium excretion, and BP were identified using mediation analyses and metabolic reaction networks., Results: Adherence to the DASH diet was associated with urinary potassium excretion (correlation coefficient, r = 0.42; P < 0.0001). In multivariable regression analyses, a 5-point higher DASH score (range, 7 to 35) was associated with a lower systolic BP by 1.35 mmHg (95% CI, -1.95 to -0.80 mmHg; P = 1.2 × 10-5); control of the model for potassium but not sodium attenuated the DASH-BP relation. Two common metabolites (hippurate and citrate) mediated the potassium-BP and DASH-BP relationships, while 5 metabolites (succinate, alanine, S-methyl cysteine sulfoxide, 4-hydroxyhippurate, and phenylacetylglutamine) were found to be specific to the DASH-BP relation., Conclusions: Greater adherence to the DASH diet is associated with lower BP and higher potassium intake across levels of sodium intake. The DASH diet recommends greater intake of fruits, vegetables, and other potassium-rich foods that may replace sodium-rich processed foods and thereby influence BP through overlapping metabolic pathways. Possible DASH-specific pathways are speculated but confirmation requires further study. INTERMAP is registered as NCT00005271 at www.clinicaltrials.gov., (© The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition.)
Published: 2022
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15. Associations Among Plant-Based Dietary Indexes, the Dietary Inflammatory Index, and Inflammatory Potential in Female College Students In Saudi Arabia: A Cross-Sectional Study.

Author: Aljuraiban GS, Gibson R, Al-Freeh L, Al-Musharaf S, Shivappa N, Hébert JR, Oude Griep LM, and Chan Q
Subjects: Cross-Sectional Studies, Female, Humans, Inflammation, Saudi Arabia, Students, C-Reactive Protein metabolism, Diet
Abstract: Background: Saudi Arabian diets are transitioning to more Western dietary patterns that have been associated with higher levels of inflammation. Emerging evidence suggests plant-based diets are related to lower levels of inflammation; however, the definition of plant-based diets varies., Objective: The purpose of this study was to identify the extent to which an overall Plant-Based Diet Index (PDI), Healthy-PDI (hPDI), and Unhealthy-PDI (uPDI) vs Energy-Adjusted Dietary Inflammatory Index correlate with high-sensitivity C-reactive protein (hs-CRP) level., Design: This was a cross-sectional study carried out at King Saud University. Data on dietary intake, anthropometrics, and hs-CRP were collected., Participants/setting: Female students aged 19 to 35 years (n = 401) were recruited from King Saud University, Riyadh, Saudi Arabia, between February and May 2019., Main Outcome Measures: The main outcome was hs-CRP level., Statistical Analyses Performed: Pearson correlation and multivariate linear regression analyses were used to examine the associations between hs-CRP, each PDI, and Energy-Adjusted Dietary Inflammatory Index (E-DII)., Results: E-DII and uPDI scores had a moderate and a small positive correlation with hs-CRP levels (r = 0.46 and 0.22, respectively), whereas PDI and hPDI scores had a small and a moderate inverse correlation with hs-CRP levels (r = -0.13 and -0.31, respectively). A 1-standard deviation higher E-DII score was directly associated with a 1.05 mg/L higher hs-CRP level (95% confidence interval 0.72 to 1.38; P < 0.0001) after adjusting for body mass index. Overall PDI score was not associated with hs-CRP levels. A 6-point higher hPDI and uPDI score were associated with a 0.13 mg/L lower hs-CRP (95% confidence interval -0.08 to -0.28) and a 0.15 mg/L higher hs-CRP (95% confidence interval 0.03 to 0.31), respectively, after adjusting for lifestyle and dietary factors; however, results attenuated and were no longer statistically significant after body mass index adjustment., Conclusions: Although all indexes had a small or moderate correlation with hs-CRP, only E-DII score was positively associated with hs-CRP level. Future research can examine PDI-based interventions for lowering inflammation., (Copyright © 2022 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)
Published: 2022
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16. The appearance of magnetic susceptibility objects in SWI phase depends on object size: Comparison with QSM and CT.

Author: Xie H, Zhuang H, Guo Y, Sharma RD, Zhang Q, Li J, Lu S, Xu L, Chan Q, Yoneda T, Spincemaille P, Zhang H, Guo H, Prince MR, Yu C, and Wang Y
Subjects: Brain diagnostic imaging, Brain Mapping, Humans, Tomography, X-Ray Computed, Magnetic Resonance Imaging, White Matter
Abstract: Purpose: Tissue magnetic susceptibility sign can potentially be detected on susceptibility weighted imaging (SWI) phase (SW-P). This study aims to investigate its performance for depicting brain susceptibility structures., Methods: A simulation was performed to depict magnetic susceptibility structures of various geometries on SW-P and quantitative susceptibility mapping (QSM). Brain MRI was performed on 25 subjects using SWI on a 3 T MRI system. QSM was generated from the same data. SW-P and QSM were analyzed according to radiological assessment for depicting globus pallidus nuclei, optic radiation white matter tracts, and lateral ventricular choroid plexus calcifications. In 11 of these subjects, CT was available and correlated with SW-P and QSM to assess their performance in quantifying calcifications in the choroid plexus., Results: In simulation, the appearance of a sphere on SW-P ranged from centric nodule to mixed positive and negative values as the diameter increased. Large cylinders also appeared as mixed positive and negative values. In comparison, QSM correctly depicted the susceptibility distribution of all magnetic structures. On human brain images, SW-P depicted the globus pallidus and optic radiation with mixed positive and negative values, consistent with simulation, and small choroid plexus calcifications as either mixed positive and negative values or as centric nodules; QSM depicted all structures as solid structures with the expected signs. For measuring calcification in the choroid plexus, QSM vs CT linear regression had a higher coefficient of determination compared to SW-P vs CT and SW-P vs QSM., Conclusion: Appearance of susceptibility sources on SW-P changes with object size. This problem can be overcome using QSM., (Copyright © 2021 Elsevier Inc. All rights reserved.)
Published: 2022
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17. Potato consumption, by preparation method and meal quality, with blood pressure and body mass index: The INTERMAP study.

Author: Aljuraiban GS, Pertiwi K, Stamler J, Chan Q, Geleijnse JM, Van Horn L, Daviglus ML, Elliott P, and Oude Griep LM
Subjects: Adult, Asia epidemiology, Cross-Sectional Studies, Female, Humans, Hypertension diagnosis, Hypertension epidemiology, Male, Middle Aged, Obesity diagnosis, Obesity epidemiology, Risk Assessment, Risk Factors, Sex Factors, United Kingdom epidemiology, United States epidemiology, Blood Pressure, Body Mass Index, Cooking, Feeding Behavior, Hypertension physiopathology, Nutritive Value, Obesity physiopathology, Plant Roots adverse effects, Solanum tuberosum adverse effects
Abstract: Background and Aims: Previous studies have reported associations between higher potato intake and higher blood pressure (BP) and/or risk of hypertension and obesity. These studies rarely considered preparation methods of potatoes, overall dietary pattern or the nutrient quality of the meals. These factors may affect the association of potato intake with BP and body mass index (BMI). This study investigated potato consumption by amount, type of processing, overall dietary pattern, and nutrient quality of the meals in relation to BP and BMI., Methods: Cross-sectional analyses were conducted among 2696 participants aged 40-59 y in the US and UK samples of the International Study of Macro- and Micro-Nutrients and Blood Pressure (INTERMAP). Nutrient quality of individual food items and the overall diet was assessed with the Nutrient-Rich Foods (NRF) index., Results: No associations with BP or BMI were found for total potato intake nor for boiled, mashed, or baked potatoes or potato-based mixed dishes. In US women, higher intake of fried potato was associated with 2.29 mmHg (95% CI: 0.55, 3.83) higher systolic BP and with 1.14 mmHg (95% CI: 0.10, 2.17) higher diastolic BP, independent of BMI. Higher fried potato consumption was directly associated with a +0.86 kg/m 2 difference in BMI (95% CI: 0.24, 1.58) in US women. These associations were not found in men. Higher intakes of fried potato meals with a lower nutritional quality (NRF index≤ 2) were positively associated with systolic (3.88 mmHg; 95% CI: 2.63, 5.53) and diastolic BP (1.62 mmHg; 95% CI: 0.48, 2.95) in US women. No associations with BP were observed for fried potato meals with a higher nutritional quality (NRF index> 2)., Conclusions: Fried potato was directly related to BP and BMI in women, but non-fried potato was not. Poor-nutrient quality meals were associated with intake of fried potatoes and higher BP, suggesting that accompanied dietary choices are key mediators of these associations., Competing Interests: Conflicts of interest The authors declare no competing interests., (Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)
Published: 2020
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18. The association of fish consumption and its urinary metabolites with cardiovascular risk factors: the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP).

Author: Gibson R, Lau CE, Loo RL, Ebbels TMD, Chekmeneva E, Dyer AR, Miura K, Ueshima H, Zhao L, Daviglus ML, Stamler J, Van Horn L, Elliott P, Holmes E, and Chan Q
Subjects: Adult, Animals, Blood Pressure physiology, Body Mass Index, Cardiovascular Diseases urine, Female, Humans, Male, Middle Aged, Risk Factors, Cardiovascular Diseases prevention & control, Diet, Fishes
Abstract: Background: Results from observational studies regarding associations between fish (including shellfish) intake and cardiovascular disease risk factors, including blood pressure (BP) and BMI, are inconsistent., Objective: To investigate associations of fish consumption and associated urinary metabolites with BP and BMI in free-living populations., Methods: We used cross-sectional data from the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP), including 4680 men and women (40-59 y) from Japan, China, the United Kingdom, and United States. Dietary intakes were assessed by four 24-h dietary recalls and BP from 8 measurements. Urinary metabolites (2 timed 24-h urinary samples) associated with fish intake acquired from NMR spectroscopy were identified. Linear models were used to estimate BP and BMI differences across categories of intake and per 2 SD higher intake of fish and its biomarkers., Results: No significant associations were observed between fish intake and BP. There was a direct association with fish intake and BMI in the Japanese population sample (P trend = 0.03; fully adjusted model). In Japan, trimethylamine-N-oxide (TMAO) and taurine, respectively, demonstrated area under the receiver operating characteristic curve (AUC) values of 0.81 and 0.78 in discriminating high against low fish intake, whereas homarine (a metabolite found in shellfish muscle) demonstrated an AUC of 0.80 for high/nonshellfish intake. Direct associations were observed between urinary TMAO and BMI for all regions except Japan (P < 0.0001) and in Western populations between TMAO and BP (diastolic blood pressure: mean difference 1.28; 95% CI: 0.55, 2.02 mmHg; P = 0.0006, systolic blood pressure: mean difference 1.67; 95% CI: 0.60, 2.73 mmHg; P = 0.002)., Conclusions: Urinary TMAO showed a stronger association with fish intake in the Japanese compared with the Western population sample. Urinary TMAO was directly associated with BP in the Western but not the Japanese population sample. Associations between fish intake and its biomarkers and downstream associations with BP/BMI appear to be context specific. INTERMAP is registered at www.clinicaltrials.gov as NCT00005271., (Copyright © The Author(s) 2019.)
Published: 2020
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19. Perspective: The Application of A Priori Diet Quality Scores to Cardiovascular Disease Risk-A Critical Evaluation of Current Scoring Systems.

Author: Aljuraiban GS, Gibson R, Oude Griep LM, Okuda N, Steffen LM, Van Horn L, and Chan Q
Subjects: Cardiovascular Diseases etiology, Female, Heart Disease Risk Factors, Humans, Male, Nutrition Assessment, Cardiovascular Diseases prevention & control, Diet, Diet, Healthy, Feeding Behavior, Nutrition Policy
Abstract: Healthy dietary habits are the cornerstone of cardiovascular disease (CVD) prevention. Numerous researchers have developed diet quality indices to help evaluate and compare diet quality across and within various populations. The availability of these new indices raises questions regarding the best selection relevant to a given population. In this perspective, we critically evaluate a priori-defined dietary indices commonly applied in epidemiological studies of CVD risk and mortality. A systematic literature search identified 59 observational studies that applied a priori-defined diet quality indices to CVD risk factors and/or CVD incidence and/or CVD mortality. Among 31 different indices, these scores were categorized as follows: 1) those based on country-specific dietary patterns, 2) those adapted from distinct dietary guidelines, and 3) novel scores specific to key diet-related factors associated with CVD risk. The strengths and limitations of these indices are described according to index components, calculation methods, and the application of these indices to different population groups. Also, the importance of identifying methodological challenges faced by researchers when applying an index are considered, such as selection and weighting of food groups within a score, since food groups are not necessarily equivalent in their associations with CVD. The lack of absolute cutoff values, emphasis on increasing healthy food without limiting unhealthy food intake, and absence of validation of scores with biomarkers or other objective diet assessment methods further complicate decisions regarding the best indices to use. Future research should address these limitations, consider cross-cultural and other differences between population groups, and identify translational challenges inherent in attempting to apply a relevant diet quality index for use in CVD prevention at a population level., (Copyright © American Society for Nutrition 2019.)
Published: 2020
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20. Tone slips in Cantonese: Evidence for early phonological encoding.

Author: Alderete J, Chan Q, and Yeung HH
Subjects: Adult, Humans, Phonetics, Psycholinguistics, Speech
Abstract: This article examines speech errors in Cantonese with the aim of fleshing out a larger speech production architecture for encoding phonological tone. A corpus was created by extracting 2462 speech errors, including 668 tone errors, from audio recordings of natural conversations. The structure of these errors was then investigated in order to distinguish two contemporary approaches to tone in speech production. In the tonal frames account, tone is encoded like metrical stress, represented in abstract structural frames for a word. Because tone cannot be mis-selected in tonal frames, tone errors are expected to be rare and non-contextual, as observed with stress. An alternative is that tone is actively selected in phonological encoding like phonological segments. This approach predicts that tone errors will be relatively common and exhibit the contextual patterns observed with segments, like perseveration and anticipation. In our corpus, tone errors are the second most common type of error, and the majority of errors exhibit contextual patterns that parallel segmental errors. Building on prior research, a two-stage model of phonological tone encoding is proposed, following the patterns seen in tone errors: Tone is phonologically selected concurrently with segments, but then sequentially assigned after segments to a syllable., (Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2019
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21. Salt intake and prevalence of overweight/obesity in Japan, China, the United Kingdom, and the United States: the INTERMAP Study.

Author: Zhou L, Stamler J, Chan Q, Van Horn L, Daviglus ML, Dyer AR, Miura K, Okuda N, Wu Y, Ueshima H, Elliott P, and Zhao L
Subjects: Adult, Body Mass Index, China epidemiology, Female, Humans, Japan epidemiology, Male, Middle Aged, United Kingdom epidemiology, United States epidemiology, Obesity epidemiology, Overweight epidemiology, Sodium Chloride, Dietary administration & dosage
Abstract: Background: Several studies have reported that dietary salt intake may be an independent risk factor for overweight/obesity, but results from previous studies are controversial, reflecting study limitations such as use of a single spot urine or dietary recall to estimate daily salt intake rather than 24-h urine collections, and population samples from only a single country or center., Objective: The aim of this study was to use data from the International Study of Macro-/Micro-nutrients and Blood Pressure (INTERMAP Study) to explore the relation between dietary salt intake estimated from 2 timed 24-h urine collections and body mass index (BMI; in kg/m2) as well as prevalence of overweight/obesity in Japan, China, the United Kingdom, and the United States., Methods: Data were from a cross-sectional study of 4680 men and women aged 40-59 y in Japan (n = 1145), China (n = 839), the United Kingdom (n = 501), and the United States (n = 2195). General linear models were used to obtain the regression coefficients (β) of salt intake associated with BMI. Multivariable logistic regression models were used to determine the ORs and 95% CIs of overweight/obesity associated with a 1-g/d higher dietary salt intake., Results: After adjustment for potential confounding factors including energy intake, salt intake 1 g/d higher was associated with BMI higher by 0.28 in Japan, 0.10 in China, 0.42 in the United Kingdom, and 0.52 in the United States, all P values < 0.001. Salt intake 1 g/d higher was associated with odds of overweight/obesity 21% higher in Japan, 4% higher in China, 29% higher in the United Kingdom, and 24% higher in the United States, all P values < 0.05., Conclusions: Salt intake is positively associated with BMI and the prevalence of overweight/obesity in Japan, China, the United Kingdom, and the United States. This association needs to be further confirmed in well-designed prospective studies with repeated dietary and BMI measurements.This trial was registered at clinicaltrials.gov as NCT00005271., (Copyright © American Society for Nutrition 2019.)
Published: 2019
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22. Quantitative susceptibility mapping as an indicator of subcortical and limbic iron abnormality in Parkinson's disease with dementia.

Author: Li DTH, Hui ES, Chan Q, Yao N, Chua SE, McAlonan GM, Pang SYY, Ho SL, and Mak HKF
Subjects: Aged, Biomarkers metabolism, Brain diagnostic imaging, Brain metabolism, Dementia diagnostic imaging, Disease Susceptibility diagnostic imaging, Disease Susceptibility metabolism, Female, Humans, Limbic System diagnostic imaging, Magnetic Resonance Imaging methods, Male, Middle Aged, Parkinson Disease diagnostic imaging, Brain Mapping methods, Dementia metabolism, Iron metabolism, Limbic System metabolism, Parkinson Disease metabolism
Abstract: Late stage Parkinson's disease (PD) patients were commonly observed with other non-motor comorbidities such as dementia and psychosis. While abnormal iron level in the substantia nigra was clinically accepted as a biomarker of PD, it was also suggested that the increased iron deposition could impair other brain regions and induce non-motor symptoms. A new Magnetic Resonance Imaging (MRI) called Quantitative Susceptibility Mapping (QSM) has been found to measure iron concentration in the grey matter reliably. In this study, we investigated iron level of different subcortical and limbic structures of Parkinson's disease (PD) patients with and without dementia by QSM. QSM and volumetric analysis by MRI were performed in 10 PD dementia (PDD) patients (73 ± 6 years), 31 PD patients (63 ± 8 years) and 27 healthy controls (62 ± 7 years). No significant differences were observed in the L-Dopa equivalent dosage for the two PD groups (p = 0.125). Putative iron content was evaluated in different subcortical and limbic structures of the three groups, as well as its relationship with cognitive performance. One-way ANCOVA with FDR adjustment at level of 0.05, adjusted for age and gender, showed significant group differences for left and right hippocampus (p = 0.015 & 0.032, respectively, BH-corrected for multiple ROIs) and right thalamus (p = 0.032, BH-corrected). Post-hoc test with Bonferroni's correction suggested higher magnetic susceptibility in PDD patients than healthy controls in the left and right hippocampus (p = 0.001 & 0.047, respectively, Bonferroni's corrected), while PD patients had higher magnetic susceptibility than the healthy controls in right hippocampus and right thalamus (p = 0.006 & 0.005, respectively, Bonferroni's corrected). PDD patients also had higher susceptibility than the non-demented PD patients in left hippocampus (p = 0.046, Bonferroni's corrected). The magnetic susceptibilities of the left and right hippocampus were negatively correlated with the Mini-Mental State Examination score ( r  = -0.329 & -0.386, respectively; p < 0.05). This study provides support for iron accumulation in limbic structures of PDD and PD patients and its correlation with cognitive performance, however, its putative involvement in development of non-motor cognitive dysfunction in PD pathogenesis remains to be elucidated.
Published: 2018
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23. Quantitative assessment of liver function with whole-liver T1rho mapping at 3.0T.

Author: Chen W, Chen X, Yang L, Wang G, Li J, Wang S, Chan Q, and Xu D
Subjects: Adult, Aged, Albumins chemistry, Female, Healthy Volunteers, Humans, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Male, Middle Aged, Prospective Studies, Prothrombin Time, ROC Curve, Young Adult, Biomarkers analysis, Liver diagnostic imaging, Liver Cirrhosis diagnostic imaging, Magnetic Resonance Imaging
Abstract: Objectives: To assess the segmental liver function in healthy subjects and liver cirrhosis (LC) patients with different Child-Pugh grades using whole-liver T1rho mapping at 3.0T., Methods: Thirty-three healthy volunteers and 33 patients with clinically diagnosed LC were examined using a three-dimensional (3D) whole-liver coverage T1rho mapping. T1rho maps were calculated from five respiratory-triggered sequences with different spin-lock durations (0, 10, 20, 40, and 60ms). The patients were classified into group A with Child-Pugh A cirrhosis and group B with Child-Pugh B or C cirrhosis. The hepatic T1rho values in different segments of the healthy volunteers and LC patients were compared, and receiver operating characteristic curves (ROC) were plotted to determine the performance of T1rho., Results: The median T1rho value of the patients (Child-Pugh class A: 47.07ms; Child-Pugh classes B and C: 51.09ms) was significantly higher than that of the healthy volunteers (39.37ms, P<0.001). No remarkable variations among different hepatic segments in LC patients with various Child-Pugh grades were found (P>0.05). The T1rho values of the liver parenchyma were significantly correlated with albumin (r=-0.590, P<0.001) and prothrombin time (r=0.601, P<0.001). The T1rho values in patients increased with an increase in the Child-Pugh classification (r=0.574, P<0.001)., Conclusions: The whole-liver coverage T1rho sequence at 3.0T was feasible for the assessment of segmental liver function. T1rho relaxation might be a potential biomarker for the estimation of liver function in LC patients., (Copyright © 2017 Elsevier Inc. All rights reserved.)
Published: 2018
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24. Early responses assessment of neoadjuvant chemotherapy in nasopharyngeal carcinoma by serial dynamic contrast-enhanced MR imaging.

Author: Zheng D, Yue Q, Ren W, Liu M, Zhang X, Lin H, Lai G, Chen W, Chan Q, and Chen Y
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Feasibility Studies, Female, Humans, Male, Middle Aged, Nasal Cavity diagnostic imaging, Nasopharyngeal Carcinoma, Pharynx diagnostic imaging, Prospective Studies, Sensitivity and Specificity, Treatment Outcome, Young Adult, Carcinoma diagnostic imaging, Carcinoma drug therapy, Contrast Media, Image Enhancement methods, Magnetic Resonance Imaging methods, Nasopharyngeal Neoplasms diagnostic imaging, Nasopharyngeal Neoplasms drug therapy, Neoadjuvant Therapy methods
Abstract: Purpose: To evaluate the feasibility of utilizing serial dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) prospectively for early prediction of neoadjuvant chemotherapy (NAC) response in nasopharyngeal carcinoma (NPC) patients., Materials and Methods: Sixty-three advanced NPC patients were recruited and received three DCE-MRI exams before treatment (Pre-Tx), 3days (Day3-Tx) and 20days (Day20-Tx) after initiation of chemotherapy (one NAC cycle). Early response to NAC was determined based on the third MRI scan and classified partial response (PR) as responders and stable disease (SD) as non-responders. After intensity-modulated radiotherapy (IMRT), complete response (CR) patients were classified as responders. The kinetic parameters (K trans , K ep , v e , and v p ) derived from extended Tofts' model analysis and their corresponding changes ΔMetrics (0-X) (X=3 or 20days) were compared between the responders and non-responders using the Student's T-test or Mann-Whitney U test., Results: Compared to the SD group, the PR group after one NAC cycle presented significantly higher mean K trans values at baseline (P=0.011) and larger ΔK trans (0-3) and ΔK ep(0-3) values (P=0.003 and 0.031). For the above parameters, we gained acceptable sensitivity (range: 66.8-75.0%) and specificity (range: 60.0-66.7%) to distinguish the non-responders from the responders and their corresponding diagnosis efficacy (range: 0.703-0.767). The PR group patients after one NAC cycle showed persistent inhibition of tumor perfusion by NAC as explored by DCE-MRI parameters comparing to the SD group (P<0.05) and presented a higher cure ratio after IMRT than those who did not (83.3% vs. 73.8%)., Conclusions: This primarily DCE-MRI based study showed that the early changes of the kinetic parameters during therapy were potential imaging markers to predicting response right after one NAC cycle for NPC patients., (Copyright Â© 2016 Elsevier Inc. All rights reserved.)
Published: 2017
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25. MRI-based estimation of liver function by intravoxel incoherent motion diffusion-weighted imaging.

Author: Zhang J, Guo Y, Tan X, Zheng Z, He M, Xu J, Mei Y, Zhang J, Zhao X, Wang C, Feng Y, Chan Q, Wu Y, and Xu Y
Subjects: Adult, Female, Humans, Male, Middle Aged, Motion, Reproducibility of Results, Sensitivity and Specificity, Severity of Illness Index, Young Adult, Diffusion Magnetic Resonance Imaging methods, Liver diagnostic imaging, Liver physiology, Liver Cirrhosis diagnostic imaging, Liver Cirrhosis physiopathology
Abstract: Purpose: To explore the usefulness of intravoxel incoherent motion (IVIM) to evaluate the hepatic functional reserve as expressed by the model for Child-Pugh class., Materials and Methods: IVIM diffusion-weighted imaging (DWI) using 10 different b values were performed on a Philips 3.0T MR scanner in 70 patients with liver cirrhosis and 60 healthy volunteers as the control group. Patients with liver cirrhosis were subdivided into three groups: Child-Pugh class A: 29 cases; Child-Pugh class B: 19 cases; Child-Pugh class C: 22 cases. Pure molecular diffusion (D), pseudo-diffusion (D*), perfusion fraction (f) and apparent diffusion coefficient (ADC) values were calculated, and used to determine liver function, as indicated by the Child-Pugh class., Results: The ICC values of D, D*, f and ADC between two radiologists were 0.997, 0.986, 0.985 and 0.995, respectively. D*, f and ADC values of liver cirrhosis group were significantly lower than control group (P<0.001, P=0.016, P=0.042, respectively). D*, f and ADC values significantly decreased with increasing Child-Pugh scores (p<0.05). Child-Pugh scores were inversely correlated with D* and f values (r=-0.423, r=-0.620, respectively). The areas under the curve (AUCs) of D* and f for evaluating liver function were 0.67-0.90 and 0.78-0.89, respectively., Conclusion: IVIM DWI may be a useful image-based method for assessing liver function., (Copyright © 2016 Elsevier Inc. All rights reserved.)
Published: 2016
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26. Prospective, randomised controlled trial comparing Versajet™ hydrosurgery and conventional debridement of partial thickness paediatric burns.

Author: Hyland EJ, D'Cruz R, Menon S, Chan Q, Harvey JG, Lawrence T, La Hei E, and Holland AJ
Subjects: Adolescent, Burns pathology, Child, Child, Preschool, Cicatrix, Female, Humans, Infant, Male, Operative Time, Skin pathology, Surgical Wound Infection, Treatment Outcome, Wound Healing, Burns surgery, Debridement methods, Dermis pathology, Skin Transplantation methods
Abstract: Introduction: Conventional surgical debridement of burn wounds consists of tangential excision of eschar using a knife or dermabrasion until viable dermis or punctate bleeding occurs. The Versajet™ (Smith and Nephew, St. Petersburg, FL, USA) hydrosurgery system has also been advocated for burn wound debridement, with the suggestion that enhanced preservation of dermal tissue might reduce subsequent scarring., Methods: A prospective randomised controlled trial was undertaken comparing Versajet™ to conventional debridement. After excluding those with facial burns, 61 children ≤16 years of age undergoing debridement and skin grafting for partial thickness burns were recruited. Adequacy of debridement was assessed by 2mm punch biopsies taken pre- and post-debridement. Surgical time, percentage graft take at day 10, time to healing, post-operative infection and scarring at 3 and 6 months were assessed., Results: Thirty-one children underwent conventional debridement and 30 debridement using Versajet™. There was a significant difference in the amount of viable dermal preservation between the two groups (p=0.02), with more viable tissue lost in the conventional group (median 325 μm) versus the Versajet™ group (median 35 μm). There was no significant difference between graft take at day 10 (p=0.9), post-operative wound infection (p=0.5), duration of surgery (p=0.6) or time to healing after grafting (p=0.6). Despite better dermal preservation in the Versajet™ group, there was no significant difference between scarring at 3 or 6 months (p=1.0, 0.1)., Conclusions: These findings suggest that Versajet™ hydrosurgery appears a more precise method of burn wound debridement. Although dermal preservation may be a factor in reducing subsequent hypertrophic scarring, there were no significant differences found between scarring at 3 or 6 months after-injury., (Copyright © 2015 Elsevier Ltd and ISBI. All rights reserved.)
Published: 2015
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27. The impact of eating frequency and time of intake on nutrient quality and Body Mass Index: the INTERMAP Study, a Population-Based Study.

Author: Aljuraiban GS, Chan Q, Oude Griep LM, Brown IJ, Daviglus ML, Stamler J, Van Horn L, Elliott P, and Frost GS
Subjects: Adult, Blood Pressure, Cross-Sectional Studies, Diet, Energy Intake, Female, Humans, Life Style, Male, Micronutrients administration & dosage, Middle Aged, Obesity, Regression Analysis, Time Factors, Body Mass Index, Feeding Behavior physiology, Nutritive Value
Abstract: Background: Epidemiologic evidence is sparse on the effect of dietary behaviors and diet quality on body mass index (BMI; calculated as kg/m(2)), which can be important drivers of the obesity epidemic., Objective: This study investigated the relationships of frequency of eating and time of intake to energy density, nutrient quality, and BMI using data from the International Study on Macro/Micronutrients and Blood Pressure including 2,696 men and women aged 40 to 59 years from the United States and the United Kingdom., Design: The International Study on Macro/Micronutrients and Blood Pressure is a cross-sectional investigation with four 24-hour dietary recalls and BMI measurements conducted between 1996 and 1999. Consumption of solid foods was aggregated into eating occasion. Nutrient density is expressed using the Nutrient Rich Food Index 9.3. The ratio of evening/morning energy intake was calculated; mean values of four visits were used., Statistical Analyses Performed: Characteristics across eating occasion categories are presented as adjusted mean with corresponding 95% CI. Multiple linear regression models were used to examine associations of eating occasions, ratio of evening/morning energy intake, dietary energy density, and Nutrient Rich Food Index 9.3 with BMI., Results: Compared to participants with fewer than four eating occasions in 24 hours, those with six or more eating occasions in 24 hours had lower mean BMI (27.3 vs 29.0), total energy intake (2,129 vs 2,472 kcal/24 hours), dietary energy density (1.5 vs 2.1 kcal/g), and higher Nutrient Rich Food Index 9.3 (34.3 vs 28.1). In multiple regression analyses, higher evening intake relative to morning intake was directly associated with BMI; however, this did not influence the relationship between eating frequency and BMI., Conclusions: Our results suggest that a larger number of small meals may be associated with improved diet quality and lower BMI. This may have implications for behavioral approaches to controlling the obesity epidemic., (Copyright © 2015 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)
Published: 2015
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28. Dietary glycine and blood pressure: the International Study on Macro/Micronutrients and Blood Pressure.

Author: Stamler J, Brown IJ, Daviglus ML, Chan Q, Miura K, Okuda N, Ueshima H, Zhao L, and Elliott P
Subjects: Adult, Alanine administration & dosage, Alanine adverse effects, Alanine urine, Blood Pressure Determination, China epidemiology, Cross-Sectional Studies, Diet, Dietary Proteins urine, Female, Glycine adverse effects, Glycine urine, Humans, Hypertension epidemiology, Hypertension etiology, Japan epidemiology, Linear Models, Male, Micronutrients adverse effects, Middle Aged, Surveys and Questionnaires, United Kingdom epidemiology, United States epidemiology, Blood Pressure physiology, Dietary Proteins administration & dosage, Glycine administration & dosage, Micronutrients administration & dosage
Abstract: Background: Available data have indicated independent direct relations of dietary animal protein and meat to the blood pressure (BP) of individuals., Objective: In this study, we aimed to assess whether BP is associated with the intake of dietary amino acids higher relatively in animal than in vegetable protein (alanine, arginine, aspartic acid, glycine, histidine, lysine, methionine, and threonine)., Design: The study was a cross-sectional epidemiologic study that involved 4680 persons aged 40-59 y from 17 random population samples in the People's Republic of China, Japan, the United Kingdom, and the United States. BP was measured 8 times at 4 visits; dietary data (83 nutrients and 18 amino acids) were from four 24-h dietary recalls and two 24-h urine collections., Results: Dietary glycine and alanine (the percentage of total protein intake) were considered singly related directly to BP; with these 2 amino acids together in regression models (from model 1, which was controlled for age, sex, and sample, to model 5, which was controlled for 16 possible confounders), glycine, but not alanine, was significantly related to BP. Estimated average BP differences associated with a 2-SD higher glycine intake (0.71 g/24 h) were 2.0-3.0-mm Hg systolic BP (z = 2.97-4.32) stronger in Western than in East Asian participants. In Westerners, meat was the main dietary source of glycine but not in East Asians (Chinese: grains/flour and rice/noodles; Japanese: fish/shellfish and rice/noodles)., Conclusion: Dietary glycine may have an independent adverse effect on BP, which possibly contributes to direct relations of animal protein and meat to BP.
Published: 2013
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29. Association of raw fruit and fruit juice consumption with blood pressure: the INTERMAP Study.

Author: Oude Griep LM, Stamler J, Chan Q, Van Horn L, Steffen LM, Miura K, Ueshima H, Okuda N, Zhao L, Daviglus ML, and Elliott P
Subjects: Adult, Cardiovascular Diseases prevention & control, China, Cross-Sectional Studies, Energy Intake, Female, Humans, Japan, Life Style, Linear Models, Male, Micronutrients pharmacology, Middle Aged, Nutrition Assessment, Nutrition Surveys, Nutritive Value, Surveys and Questionnaires, United Kingdom, United States, Beverages, Blood Pressure physiology, Fruit
Abstract: Background: Epidemiologic evidence suggests that fruit consumption may lower the risk of cardiovascular diseases through blood pressure (BP)-lowering effects; little is known on the independent effect of raw fruit and fruit juice on BP., Objective: The objective was to quantify associations of raw fruit and fruit juice consumption with BP by using cross-sectional data from the INTERnational study on MAcro/micronutrients and blood Pressure (INTERMAP) of 4680 men and women aged 40-59 y from Japan, China, the United Kingdom, and the United States., Design: During 4 visits, 8 BP, four 24-h dietary recalls, and two 24-h urine samples were collected. Country-specific multivariate-controlled linear regression coefficients, including adjustment for urinary sodium excretion, were estimated and pooled, weighted by inverse of their variance., Results: The average total raw fruit consumption varied from a mean ± SD of 52 ± 65 g/1000 kcal in the United States to 68 ± 70 g/1000 kcal in China. Individual raw fruit intake was not associated with BP in pooled analyses for all countries or in participants from Western countries, although a positive association with diastolic BP was observed in East Asian participants (per 50 g/1000 kcal; 0.37 mm Hg; 95% CI: 0.02, 0.71). Positive relationships with diastolic BP were found for citrus fruit intake in Western consumers (per 25 g/1000 kcal; 0.47 mm Hg; 95% CI: 0.12, 0.81) and for apple intake in East Asian consumers (0.40 mm Hg; 95% CI: 0.03, 0.78). Among East Asian banana consumers, banana intake was inversely associated with diastolic BP (-1.01 mm Hg; 95% CI: -1.88, -0.02). Fruit juice intake, which was negligible in Asia, was not related to BP in Western countries., Conclusion: Consistent associations were not found between raw fruit and fruit juice consumption of individuals and BP. This observational study was registered at www.clinicaltrials.gov as NCT00005271.
Published: 2013
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30. Food and nutrient intakes and their associations with lower BMI in middle-aged US adults: the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP).

Author: Shay CM, Van Horn L, Stamler J, Dyer AR, Brown IJ, Chan Q, Miura K, Zhao L, Okuda N, Daviglus ML, and Elliott P
Subjects: Adult, Body Mass Index, Cross-Sectional Studies, Dietary Fats adverse effects, Dietary Fiber administration & dosage, Dietary Proteins adverse effects, Female, Humans, Male, Micronutrients administration & dosage, Middle Aged, Sex Characteristics, Sodium, Dietary adverse effects, United States, Diet adverse effects, Energy Intake, Feeding Behavior, Health Promotion, Hypertension prevention & control, Overweight prevention & control
Abstract: Background: Clinical trial data show that reduction in total energy intake enhances weight loss regardless of the macronutrient composition of the diet. Few studies have documented dietary patterns or nutrient intakes that favor leanness [BMI (in kg/m²) ≤25] in free-living populations., Objective: This investigation examined associations of usual energy, food, and nutrient intakes with BMI among US participants of the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP)., Design: The INTERMAP is an international cross-sectional study of dietary factors and blood pressure in men and women (ages 40-59 y) that includes 8 US population samples. The present study included data from 1794 Americans who were not consuming a special diet and who provided four 24-h dietary recalls and 2 timed 24-h urine collections. Multivariable linear regression with the residual method was used to adjust for energy intake; sex-specific associations were assessed for dietary intakes and urinary excretions with BMI adjusted for potential confounders including physical activity., Results: Lower energy intake was associated with lower BMI in both sexes. Univariately, higher intakes of fresh fruit, pasta, and rice and lower intakes of meat were associated with lower BMI; these associations were attenuated in multivariable analyses. Lower urinary sodium and intakes of total and animal protein, dietary cholesterol, saturated fats, and heme iron and higher urinary potassium and intakes of carbohydrates, dietary fiber, and magnesium were associated with lower BMI in both sexes., Conclusion: The consumption of foods higher in nutrient-dense carbohydrate and lower in animal protein and saturated fat is associated with lower total energy intakes, more favorable micronutrient intakes, and lower BMI.
Published: 2012
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31. Age-related diffusion patterns in human lumbar intervertebral discs: a pilot study in asymptomatic subjects.

Author: Zhang Z, Chan Q, Anthony MP, Samartzis D, Cheung KM, Khong PL, and Kim M
Subjects: Adult, Aged, Female, Humans, Male, Middle Aged, Pilot Projects, Aging pathology, Diffusion Magnetic Resonance Imaging methods, Intervertebral Disc pathology, Lumbar Vertebrae pathology
Abstract: Diffusion tensor imaging (DTI) may provide an accurate noninvasive method of detecting degenerative matrix alterations in human lumbar intervertebral discs (IVDs). This study aimed to investigate age-related degenerative changes in human lumbar IVDs using DTI. Thirty asymptomatic volunteers ranging in age from 25 to 67 years underwent single-shot diffusion weighted echo-planar imaging on a 3 T scanner. DTI-derived metrics including fractional anisotropy (FA) and mean diffusivity (MD) were analyzed by a histogram analysis method. A Mann-Whitney test was used to compare subject groups (young and elderly) with respect to the diffusion measures, and piecewise linear regression was used to characterize the change in each metric as a function of age. We found significant age-related changes in the elderly adult group, with decrease of MD (11%, P<.001) and increase of FA (20%, P<.001). Our results demonstrate that the degenerative-related changes taking place in the IVDs through aging can be quantitatively accessed by DTI-derived metrics, while the morphologic changes are difficult to be identified in conventional T(2)-weighted images. Our initial findings suggest that it would be worthwhile to validate the relationship between DTI metrics and the actual degenerative status of IVDs using extracted disc samples and to extend it to studies on patients with degenerative discs in order to further explore the clinical usefulness and relevance of DTI., (Copyright © 2012 Elsevier Inc. All rights reserved.)
Published: 2012
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32. Opening up the "Black Box": metabolic phenotyping and metabolome-wide association studies in epidemiology.

Author: Bictash M, Ebbels TM, Chan Q, Loo RL, Yap IK, Brown IJ, de Iorio M, Daviglus ML, Holmes E, Stamler J, Nicholson JK, and Elliott P
Subjects: Biomarkers metabolism, Humans, Metabolomics standards, Phenotype, Reproducibility of Results, Risk Assessment, Metabolome genetics, Metabolomics methods, Molecular Epidemiology standards
Abstract: Background: Metabolic phenotyping of humans allows information to be captured on the interactions between dietary, xenobiotic, other lifestyle and environmental exposures, and genetic variation, which together influence the balance between health and disease risks at both individual and population levels., Objectives: We describe here the main procedures in large-scale metabolic phenotyping and their application to metabolome-wide association (MWA) studies., Methods: By use of high-throughput technologies and advanced spectroscopic methods, application of metabolic profiling to large-scale epidemiologic sample collections, including metabolome-wide association (MWA) studies for biomarker discovery and identification., Discussion: Metabolic profiling at epidemiologic scale requires optimization of experimental protocol to maximize reproducibility, sensitivity, and quantitative reliability, and to reduce analytical drift. Customized multivariate statistical modeling approaches are needed for effective data visualization and biomarker discovery with control for false-positive associations since 100s or 1,000s of complex metabolic spectra are being processed., Conclusion: Metabolic profiling is an exciting addition to the armamentarium of the epidemiologist for the discovery of new disease-risk biomarkers and diagnostics, and to provide novel insights into etiology, biological mechanisms, and pathways.
Published: 2010
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33. Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption.

Author: Heinzmann SS, Brown IJ, Chan Q, Bictash M, Dumas ME, Kochhar S, Stamler J, Holmes E, Elliott P, and Nicholson JK
Subjects: Adult, Female, Humans, Magnetic Resonance Spectroscopy, Male, Middle Aged, Multivariate Analysis, Proline urine, Biomarkers urine, Citrus, Diet, Fruit, Nutritional Status, Plant Preparations pharmacokinetics, Proline analogs & derivatives
Abstract: Background: New food biomarkers are needed to objectively evaluate the effect of diet on health and to check adherence to dietary recommendations and healthy eating patterns., Objective: We developed a strategy for food biomarker discovery, which combined nutritional intervention with metabolic phenotyping and biomarker validation in a large-scale epidemiologic study., Design: We administered a standardized diet to 8 individuals and established a putative urinary biomarker of fruit consumption by using (1)H nuclear magnetic resonance (NMR) spectroscopic profiling. The origin of the biomarker was confirmed by using targeted NMR spectroscopy of various fruit. Excretion kinetics of the biomarker were measured. The biomarker was validated by using urinary NMR spectra from UK participants of the INTERMAP (International Collaborative Study of Macronutrients, Micronutrients, and Blood Pressure) (n = 499) in which citrus consumption was ascertained from four 24-h dietary recalls per person. Finally, dietary patterns of citrus consumers (n = 787) and nonconsumers (n = 1211) were compared., Results: We identified proline betaine as a putative biomarker of citrus consumption. High concentrations were observed only in citrus fruit. Most proline betaine was excreted < or =14 h after a first-order excretion profile. Biomarker validation in the epidemiologic data showed a sensitivity of 86.3% for elevated proline betaine excretion in participants who reported citrus consumption and a specificity of 90.6% (P < 0.0001). In comparison with noncitrus consumers, citrus consumers had lower intakes of fats, lower urinary sodium-potassium ratios, and higher intakes of vegetable protein, fiber, and most micronutrients., Conclusion: The biomarker identification and validation strategy has the potential to identify biomarkers for healthier eating patterns associated with a reduced risk of major chronic diseases. The trials were registered at clinicaltrials.gov as NCT01102049 and NCT01102062.
Published: 2010
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34. Dietary sources of sodium in China, Japan, the United Kingdom, and the United States, women and men aged 40 to 59 years: the INTERMAP study.

Author: Anderson CA, Appel LJ, Okuda N, Brown IJ, Chan Q, Zhao L, Ueshima H, Kesteloot H, Miura K, Curb JD, Yoshita K, Elliott P, Yamamoto ME, and Stamler J
Subjects: Adult, China epidemiology, Cross-Sectional Studies, Feeding Behavior, Female, Humans, Hypertension epidemiology, Hypertension etiology, International Cooperation, Japan epidemiology, Male, Mental Recall, Middle Aged, Sodium, Dietary adverse effects, United Kingdom epidemiology, United States epidemiology, Food Analysis, Hypertension prevention & control, Sodium, Dietary administration & dosage, Sodium, Dietary analysis
Abstract: Public health campaigns in several countries encourage population-wide reduced sodium (salt) intake, but excessive intake remains a major problem. Excessive sodium intake is independently related to adverse blood pressure and is a key factor in the epidemic of prehypertension/hypertension. Identification of food sources of sodium in modern diets is critical to effective reduction of sodium intake worldwide. We used data from the INTERMAP Study to define major food sources of sodium in diverse East Asian and Western population samples. INTERMAP is an international, cross-sectional, epidemiologic study of 4, 680 individuals ages 40 to 59 years from Japan (four samples), People's Republic of China (three rural samples), the United Kingdom (two samples), and the United States (eight samples); four in-depth, multipass 24-hour dietary recalls/person were used to identify foods accounting for most dietary sodium intake. In the People's Republic of China sample, most (76%) dietary sodium was from salt added in home cooking, about 50% less in southern than northern samples. In Japan, most (63%) dietary sodium came from soy sauce (20%), commercially processed fish/seafood (15%), salted soups (15%), and preserved vegetables (13%). Processed foods, including breads/cereals/grains, contributed heavily to sodium intake in the United Kingdom (95%) and the United States (for methodological reasons, underestimated at 71%). To prevent and control prehypertension/hypertension and improve health, efforts to remove excess sodium from diets in rural China should focus on reducing salt in home cooking. To avoid excess sodium intake in Japan, the United Kingdom, and the United States, salt must be reduced in commercially processed foods., (Copyright 2010 American Dietetic Association. Published by Elsevier Inc. All rights reserved.)
Published: 2010
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35. Urinary amino acid analysis: a comparison of iTRAQ-LC-MS/MS, GC-MS, and amino acid analyzer.

Author: Kaspar H, Dettmer K, Chan Q, Daniels S, Nimkar S, Daviglus ML, Stamler J, Elliott P, and Oefner PJ
Subjects: Adult, Chromatography, Liquid instrumentation, Female, Gas Chromatography-Mass Spectrometry instrumentation, Humans, Male, Middle Aged, Reproducibility of Results, Amino Acids urine, Chromatography, Liquid methods, Gas Chromatography-Mass Spectrometry methods, Tandem Mass Spectrometry methods
Abstract: Urinary amino acid analysis is typically done by cation-exchange chromatography followed by post-column derivatization with ninhydrin and UV detection. This method lacks throughput and specificity. Two recently introduced stable isotope ratio mass spectrometric methods promise to overcome those shortcomings. Using two blinded sets of urine replicates and a certified amino acid standard, we compared the precision and accuracy of gas chromatography/mass spectrometry (GC-MS) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) of propyl chloroformate and iTRAQ derivatized amino acids, respectively, to conventional amino acid analysis. The GC-MS method builds on the direct derivatization of amino acids in diluted urine with propyl chloroformate, GC separation and mass spectrometric quantification of derivatives using stable isotope labeled standards. The LC-MS/MS method requires prior urinary protein precipitation followed by labeling of urinary and standard amino acids with iTRAQ tags containing different cleavable reporter ions distinguishable by MS/MS fragmentation. Means and standard deviations of percent technical error (%TE) computed for 20 amino acids determined by amino acid analyzer, GC-MS, and iTRAQ-LC-MS/MS analyses of 33 duplicate and triplicate urine specimens were 7.27+/-5.22, 21.18+/-10.94, and 18.34+/-14.67, respectively. Corresponding values for 13 amino acids determined in a second batch of 144 urine specimens measured in duplicate or triplicate were 8.39+/-5.35, 6.23+/-3.84, and 35.37+/-29.42. Both GC-MS and iTRAQ-LC-MS/MS are suited for high-throughput amino acid analysis, with the former offering at present higher reproducibility and completely automated sample pretreatment, while the latter covers more amino acids and related amines.
Published: 2009
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36. Association of dietary supplement use with specific micronutrient intakes among middle-aged American men and women: the INTERMAP Study.

Author: Archer SL, Stamler J, Moag-Stahlberg A, Van Horn L, Garside D, Chan Q, Buffington JJ, and Dyer AR
Subjects: Adult, Age Distribution, Body Mass Index, Cross-Sectional Studies, Female, Food Analysis, Humans, Male, Mental Recall, Middle Aged, Nutrition Assessment, Nutrition Policy, Nutritional Requirements, Nutritive Value, Population Surveillance, Sex Distribution, Smoking adverse effects, United States, Dietary Supplements statistics & numerical data, Micronutrients administration & dosage, Nutrition Surveys
Abstract: Objective: To assess dietary supplement use and its association with micronutrient intakes and adequacy among 2,195 US men and women aged 40 to 59 years from eight diverse population samples surveyed by the International Population Study on Macronutrients and Blood Pressure., Design: Four 24-hour dietary recalls were collected, including information on dietary supplements. The Nutrition Data System (NDS) was used for nutrient analyses. Supplements not in NDS were classified separately (non-NDS). Intake of non-NDS supplements was documented. Participants were classified as not supplement users and supplement users, subclassified-due to concerns about nutritional value-as users of NDS supplements only (mostly vitamins and minerals) and users of non-NDS supplements (eg, botanicals, animal products, and enzymes). To assess effects of supplement use on micronutrient intake and adequacy, mean intakes from supplements, foods, and foods plus supplements were compared with Dietary Reference Intakes., Participants: Two thousand one hundred ninety-five US participants; 1,136 used supplements., Statistical Analyses: Chi 2 tests, multivariate logistic regression, and means were used to assess differences in and factors related to supplement use and to determine dietary adequacy., Results: Supplement use was more common among women, older participants, more educated participants, and Asian Americans. Body mass index and current cigarette smoking were significantly and inversely associated with supplement use; past smoking and education were significantly and positively associated with supplement use. Intake from foods plus supplements was considerably higher than from foods alone for vitamins A, C, and E; niacin; folate; and iron., Conclusions: Supplement use is common among middle-aged Americans and sizably increases daily intakes of several micronutrients. These data underscore the importance of dietary supplement assessment.
Published: 2005
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