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Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, Pavkov ME, Ramachandaran A, Wild SH, James S, Herman WH, Zhang P, Bommer C, Kuo S, Boyko EJ, Magliano DJ. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract 2022; 183:109119. [PMID: 34879977 PMCID: PMC11057359 DOI: 10.1016/j.diabres.2021.109119] [Citation(s) in RCA: 4138] [Impact Index Per Article: 1379.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 12/12/2022]
Abstract
AIMS To provide global, regional, and country-level estimates of diabetes prevalence and health expenditures for 2021 and projections for 2045. METHODS A total of 219 data sources meeting pre-established quality criteria reporting research conducted between 2005 and 2020 and representing 215 countries and territories were identified. For countries without data meeting quality criteria, estimates were extrapolated from countries with similar economies, ethnicity, geography and language. Logistic regression was used to generate smoothed age-specific diabetes prevalence estimates. Diabetes-related health expenditures were estimated using an attributable fraction method. The 2021 diabetes prevalence estimates were applied to population estimates for 2045 to project future prevalence. RESULTS The global diabetes prevalence in 20-79 year olds in 2021 was estimated to be 10.5% (536.6 million people), rising to 12.2% (783.2 million) in 2045. Diabetes prevalence was similar in men and women and was highest in those aged 75-79 years. Prevalence (in 2021) was estimated to be higher in urban (12.1%) than rural (8.3%) areas, and in high-income (11.1%) compared to low-income countries (5.5%). The greatest relative increase in the prevalence of diabetes between 2021 and 2045 is expected to occur in middle-income countries (21.1%) compared to high- (12.2%) and low-income (11.9%) countries. Global diabetes-related health expenditures were estimated at 966 billion USD in 2021, and are projected to reach 1,054 billion USD by 2045. CONCLUSIONS Just over half a billion people are living with diabetes worldwide which means that over 10.5% of the world's adult population now have this condition.
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Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, Gregg EW, Bennett JE, Solomon B, Singleton RK, Sophiea MK, Iurilli MLC, Lhoste VPF, Cowan MJ, Savin S, Woodward M, Balanova Y, Cifkova R, Damasceno A, Elliott P, Farzadfar F, He J, Ikeda N, Kengne AP, Khang YH, Kim HC, Laxmaiah A, Lin HH, 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, 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 CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Cherkaoui Dekkaki I, Chetrit A, Chien KL, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Csilla S, Cui 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 JM, Gasull M, Gazzinelli A, Gehring U, Geleijnse JM, George R, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gieger C, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Goldberg M, Goldsmith RA, Gomez LF, Gomula A, Gonçalves H, Gonçalves M, Gonçalves Cordeiro da Silva B, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grosso G, Gruden G, 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 MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, 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 KT, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim J, Klakk H, Klimek M, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Kontto JP, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kratenova J, Kriaucioniene V, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kulaga Z, Kumar RK, Kurjata P, Kusuma YS, Kutsenko V, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Latt TS, Le Coroller G, Le Nguyen Bao K, Le TD, Lee J, Lee J, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin X, Lin YT, Lind L, Lingam V, Linneberg A, Lissner L, Litwin M, Lo WC, Loit HM, 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 SA, 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 WH, Panda-Jonas S, Panza F, Paoli M, Papandreou D, Park SW, 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, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Rarra V, Rech CR, Redon J, Reganit PFM, Regecová V, Revilla L, Rezaianzadeh A, Ribeiro R, Riboli E, Richter A, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Rusakova IA, Russo P, Rutkowski M, Sabanayagam C, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saidi O, Sakarya S, Saki N, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Santos LC, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Schipf S, Schmidt CO, Schnohr P, Schöttker B, Schramm S, Schultsz C, Schutte AE, Sebert S, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Servais J, Shalnova SA, Shamah-Levy T, Shamshirgaran M, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva CRDM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Sørensen TIA, Sørgjerd EP, Sorić M, Sossa Jérome C, Soumaré A, Sparboe-Nilsen B, Sparrenberger K, Staessen JA, Starc G, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Suka M, Sun CA, Sung YT, Suriyawongpaisal P, Sy RG, Syddall HE, Sylva RC, Szklo M, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thijs L, Thinggaard M, Thomas N, Thorand B, Thuesen BH, Timmermans EJ, Tjandrarini DH, Tjonneland A, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Touloumi G, Traissac P, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsugane S, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzourio C, Ueda P, Ugel E, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Minh H, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Varbo A, Vasan SK, Vega T, Veidebaum T, Velasquez-Melendez G, Veronesi G, Verschuren WMM, Verstraeten R, Victora CG, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Wu FC, Wu S, Wyszynska J, Xu H, Xu L, Yaacob NA, Yan W, Yang L, Yang X, Yang Y, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhen S, Zheng Y, Zholdin B, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Ezzati M. 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. Lancet 2021; 398:957-980. [PMID: 34450083 PMCID: PMC8446938 DOI: 10.1016/s0140-6736(21)01330-1] [Citation(s) in RCA: 1470] [Impact Index Per Article: 367.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING WHO.
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Chen L, Magliano DJ, Zimmet PZ. The worldwide epidemiology of type 2 diabetes mellitus--present and future perspectives. Nat Rev Endocrinol 2011; 8:228-36. [PMID: 22064493 DOI: 10.1038/nrendo.2011.183] [Citation(s) in RCA: 1430] [Impact Index Per Article: 102.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Over the past three decades, the number of people with diabetes mellitus has more than doubled globally, making it one of the most important public health challenges to all nations. Type 2 diabetes mellitus (T2DM) and prediabetes are increasingly observed among children, adolescents and younger adults. The causes of the epidemic of T2DM are embedded in a very complex group of genetic and epigenetic systems interacting within an equally complex societal framework that determines behavior and environmental influences. This complexity is reflected in the diverse topics discussed in this Review. In the past few years considerable emphasis has been placed on the effect of the intrauterine environment in the epidemic of T2DM, particularly in the early onset of T2DM and obesity. Prevention of T2DM is a 'whole-of-life' task and requires an integrated approach operating from the origin of the disease. Future research is necessary to better understand the potential role of remaining factors, such as genetic predisposition and maternal environment, to help shape prevention programs. The potential effect on global diabetes surveillance of using HbA(1c) rather than glucose values in the diagnosis of T2DM is also discussed.
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Ong KL, Stafford LK, McLaughlin SA, Boyko EJ, Vollset SE, Smith AE, Dalton BE, Duprey J, Cruz JA, Hagins H, Lindstedt PA, Aali A, Abate YH, Abate MD, Abbasian M, Abbasi-Kangevari Z, Abbasi-Kangevari M, Abd ElHafeez S, Abd-Rabu R, Abdulah DM, Abdullah AYM, Abedi V, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Abu-Zaid A, Adane TD, Adane DE, Addo IY, Adegboye OA, Adekanmbi V, Adepoju AV, Adnani QES, Afolabi RF, Agarwal G, Aghdam ZB, Agudelo-Botero M, Aguilera Arriagada CE, Agyemang-Duah W, Ahinkorah BO, Ahmad D, Ahmad R, Ahmad S, Ahmad A, Ahmadi A, Ahmadi K, Ahmed A, Ahmed A, Ahmed LA, Ahmed SA, Ajami M, Akinyemi RO, Al Hamad H, Al Hasan SM, AL-Ahdal TMA, Alalwan TA, Al-Aly Z, AlBataineh MT, Alcalde-Rabanal JE, Alemi S, Ali H, Alinia T, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Amare F, Ameyaw EK, Amiri S, Amusa GA, Andrei CL, Anjana RM, Ansar A, Ansari G, Ansari-Moghaddam A, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Aryan Z, Asemu MT, Asghari-Jafarabadi M, Askari E, Asmelash D, Astell-Burt T, Athar M, Athari SS, Atout MMW, Avila-Burgos L, Awaisu A, Azadnajafabad S, B DB, Babamohamadi H, Badar M, Badawi A, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bah S, Bahadory S, Bai R, Baig AA, Baltatu OC, Baradaran HR, Barchitta M, Bardhan M, Barengo NC, Bärnighausen TW, Barone MTU, Barone-Adesi F, Barrow A, Bashiri H, Basiru A, Basu S, Basu S, Batiha AMM, Batra K, Bayih MT, Bayileyegn NS, Behnoush AH, Bekele AB, Belete MA, Belgaumi UI, Belo L, Bennett DA, Bensenor IM, Berhe K, Berhie AY, Bhaskar S, Bhat AN, Bhatti JS, Bikbov B, Bilal F, Bintoro BS, Bitaraf S, Bitra VR, Bjegovic-Mikanovic V, Bodolica V, Boloor A, Brauer M, Brazo-Sayavera J, Brenner H, Butt ZA, Calina D, Campos LA, Campos-Nonato IR, Cao Y, Cao C, Car J, Carvalho M, Castañeda-Orjuela CA, Catalá-López F, Cerin E, Chadwick J, Chandrasekar EK, Chanie GS, Charan J, Chattu VK, Chauhan K, Cheema HA, Chekol Abebe E, Chen S, Cherbuin N, Chichagi F, Chidambaram SB, Cho WCS, Choudhari SG, Chowdhury R, Chowdhury EK, Chu DT, Chukwu IS, Chung SC, Coberly K, Columbus A, Contreras D, Cousin E, Criqui MH, Cruz-Martins N, Cuschieri S, Dabo B, Dadras O, Dai X, Damasceno AAM, Dandona R, Dandona L, Das S, Dascalu AM, Dash NR, Dashti M, Dávila-Cervantes CA, De la Cruz-Góngora V, Debele GR, Delpasand K, Demisse FW, Demissie GD, Deng X, Denova-Gutiérrez E, Deo SV, Dervišević E, Desai HD, Desale AT, Dessie AM, Desta F, Dewan SMR, Dey S, Dhama K, Dhimal M, Diao N, Diaz D, Dinu M, Diress M, Djalalinia S, Doan LP, Dongarwar D, dos Santos Figueiredo FW, Duncan BB, Dutta S, Dziedzic AM, Edinur HA, Ekholuenetale M, Ekundayo TC, Elgendy IY, Elhadi M, El-Huneidi W, Elmeligy OAA, Elmonem MA, Endeshaw D, Esayas HL, Eshetu HB, Etaee F, Fadhil I, Fagbamigbe AF, Fahim A, Falahi S, Faris MEM, Farrokhpour H, Farzadfar F, Fatehizadeh A, Fazli G, Feng X, Ferede TY, Fischer F, Flood D, Forouhari A, Foroumadi R, Foroutan Koudehi M, Gaidhane AM, Gaihre S, Gaipov A, Galali Y, Ganesan B, Garcia-Gordillo MA, Gautam RK, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Getacher L, Ghadirian F, Ghamari SH, Ghasemi Nour M, Ghassemi F, Golechha M, Goleij P, Golinelli D, Gopalani SV, Guadie HA, Guan SY, Gudayu TW, Guimarães RA, Guled RA, Gupta R, Gupta K, Gupta VB, Gupta VK, Gyawali B, Haddadi R, Hadi NR, Haile TG, Hajibeygi R, Haj-Mirzaian A, Halwani R, Hamidi S, Hankey GJ, Hannan MA, Haque S, Harandi H, Harlianto NI, Hasan SMM, Hasan SS, Hasani H, Hassanipour S, Hassen MB, Haubold J, Hayat K, Heidari G, Heidari M, Hessami K, Hiraike Y, Holla R, Hossain S, Hossain MS, Hosseini MS, Hosseinzadeh M, Hosseinzadeh H, Huang J, Huda MN, Hussain S, Huynh HH, Hwang BF, Ibitoye SE, Ikeda N, Ilic IM, Ilic MD, Inbaraj LR, Iqbal A, Islam SMS, Islam RM, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Iwu CCD, Iyamu IO, Iyasu AN, Jacob L, Jafarzadeh A, Jahrami H, Jain R, Jaja C, Jamalpoor Z, Jamshidi E, Janakiraman B, Jayanna K, Jayapal SK, Jayaram S, Jayawardena R, Jebai R, Jeong W, Jin Y, Jokar M, Jonas JB, Joseph N, Joseph A, Joshua CE, Joukar F, Jozwiak JJ, Kaambwa B, Kabir A, Kabthymer RH, Kadashetti V, Kahe F, Kalhor R, Kandel H, Karanth SD, Karaye IM, Karkhah S, Katoto PDMC, Kaur N, Kazemian S, Kebede SA, Khader YS, Khajuria H, Khalaji A, Khan MAB, Khan M, Khan A, Khanal S, Khatatbeh MM, Khater AM, Khateri S, khorashadizadeh F, Khubchandani J, Kibret BG, Kim MS, Kimokoti RW, Kisa A, Kivimäki M, Kolahi AA, Komaki S, Kompani F, Koohestani HR, Korzh O, Kostev K, Kothari N, Koyanagi A, Krishan K, Krishnamoorthy Y, Kuate Defo B, Kuddus M, Kuddus MA, Kumar R, Kumar H, Kundu S, Kurniasari MD, Kuttikkattu A, La Vecchia C, Lallukka T, Larijani B, Larsson AO, Latief K, Lawal BK, Le TTT, Le TTB, Lee SWH, Lee M, Lee WC, Lee PH, Lee SW, Lee SW, Legesse SM, Lenzi J, Li Y, Li MC, Lim SS, Lim LL, Liu X, Liu C, Lo CH, Lopes G, Lorkowski S, Lozano R, Lucchetti G, Maghazachi AA, Mahasha PW, Mahjoub S, Mahmoud MA, Mahmoudi R, Mahmoudimanesh M, Mai AT, Majeed A, Majma Sanaye P, Makris KC, Malhotra K, Malik AA, Malik I, Mallhi TH, Malta DC, Mamun AA, Mansouri B, Marateb HR, Mardi P, Martini S, Martorell M, Marzo RR, Masoudi R, Masoudi S, Mathews E, Maugeri A, Mazzaglia G, Mekonnen T, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Minh LHN, Mini GK, Miranda JJ, Mirfakhraie R, Mirrakhimov EM, Mirza-Aghazadeh-Attari M, Misganaw A, Misgina KH, Mishra M, Moazen B, Mohamed NS, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadshahi M, Mohseni A, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moniruzzaman M, Mons U, Montazeri F, Moodi Ghalibaf A, Moradi Y, Moradi M, Moradi Sarabi M, Morovatdar N, Morrison SD, Morze J, Mossialos E, Mostafavi E, Mueller UO, Mulita F, Mulita A, Murillo-Zamora E, Musa KI, Mwita JC, Nagaraju SP, Naghavi M, Nainu F, Nair TS, Najmuldeen HHR, Nangia V, Nargus S, Naser AY, Nassereldine H, Natto ZS, Nauman J, Nayak BP, Ndejjo R, Negash H, Negoi RI, Nguyen HTH, Nguyen DH, Nguyen PT, Nguyen VT, Nguyen HQ, Niazi RK, Nigatu YT, Ningrum DNA, Nizam MA, Nnyanzi LA, Noreen M, Noubiap JJ, Nzoputam OJ, Nzoputam CI, Oancea B, Odogwu NM, Odukoya OO, Ojha VA, Okati-Aliabad H, Okekunle AP, Okonji OC, Okwute PG, Olufadewa II, Onwujekwe OE, Ordak M, Ortiz A, Osuagwu UL, Oulhaj A, Owolabi MO, Padron-Monedero A, Padubidri JR, Palladino R, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pantea Stoian AM, Pardhan S, Parekh T, Parekh U, Pasovic M, Patel J, Patel JR, Paudel U, Pepito VCF, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Podder V, Postma MJ, Pourali G, Pourtaheri N, Prates EJS, Qadir MMF, Qattea I, Raee P, Rafique I, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Rahman MA, Rahman MHU, Rahman M, Rahman MM, Rahmani M, Rahmani S, Rahmanian V, Rahmawaty S, Rahnavard N, Rajbhandari B, Ram P, Ramazanu S, Rana J, Rancic N, Ranjha MMAN, Rao CR, Rapaka D, Rasali DP, Rashedi S, Rashedi V, Rashid AM, Rashidi MM, Ratan ZA, Rawaf S, Rawal L, Redwan EMM, Remuzzi G, Rengasamy KRR, Renzaho AMN, Reyes LF, Rezaei N, Rezaei N, Rezaeian M, Rezazadeh H, Riahi SM, Rias YA, Riaz M, Ribeiro D, Rodrigues M, Rodriguez JAB, Roever L, Rohloff P, Roshandel G, Roustazadeh A, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabour S, Sabzmakan L, Saddik B, Sadeghi E, Saeed U, Saeedi Moghaddam S, Safi S, Safi SZ, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sahoo H, Saif-Ur-Rahman KM, Sajid MR, Salahi S, Salahi S, Saleh MA, Salehi MA, Salomon JA, Sanabria J, Sanjeev RK, Sanmarchi F, Santric-Milicevic MM, Sarasmita MA, Sargazi S, Sathian B, Sathish T, Sawhney M, Schlaich MP, Schmidt MI, Schuermans A, Seidu AA, Senthil Kumar N, Sepanlou SG, Sethi Y, Seylani A, Shabany M, Shafaghat T, Shafeghat M, Shafie M, Shah NS, Shahid S, Shaikh MA, Shanawaz M, Shannawaz M, Sharfaei S, Shashamo BB, Shiri R, Shittu A, Shivakumar KM, Shivalli S, Shobeiri P, Shokri F, Shuval K, Sibhat MM, Silva LMLR, Simpson CR, Singh JA, Singh P, Singh S, Siraj MS, Skryabina AA, Sohag AAM, Soleimani H, Solikhah S, Soltani-Zangbar MS, Somayaji R, Sorensen RJD, Starodubova AV, Sujata S, Suleman M, Sun J, Sundström J, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaeizadeh SA, Tabish M, Taheri M, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Taye BT, Temesgen WA, Temsah MH, Tesler R, Thangaraju P, Thankappan KR, Thapa R, Tharwat S, Thomas N, Ticoalu JHV, Tiyuri A, Tonelli M, Tovani-Palone MR, Trico D, Trihandini I, Tripathy JP, Tromans SJ, Tsegay GM, Tualeka AR, Tufa DG, Tyrovolas S, Ullah S, Upadhyay E, Vahabi SM, Vaithinathan AG, Valizadeh R, van Daalen KR, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Verma MV, Verras GI, Vo DC, Wagaye B, Waheed Y, Wang Z, Wang Y, Wang C, Wang F, Wassie GT, Wei MYW, Weldemariam AH, Westerman R, Wickramasinghe ND, Wu Y, Wulandari RDWI, Xia J, Xiao H, Xu S, Xu X, Yada DY, Yang L, Yatsuya H, Yesiltepe M, Yi S, Yohannis HK, Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Citation(s) in RCA: 1347] [Impact Index Per Article: 673.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
BACKGROUND Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING Bill & Melinda Gates Foundation.
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Harding JL, Pavkov ME, Magliano DJ, Shaw JE, Gregg EW. Global trends in diabetes complications: a review of current evidence. Diabetologia 2019; 62:3-16. [PMID: 30171279 DOI: 10.1007/s00125-018-4711-2] [Citation(s) in RCA: 879] [Impact Index Per Article: 146.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 07/04/2018] [Indexed: 12/30/2022]
Abstract
In recent decades, large increases in diabetes prevalence have been demonstrated in virtually all regions of the world. The increase in the number of people with diabetes or with a longer duration of diabetes is likely to alter the disease profile in many populations around the globe, particularly due to a higher incidence of diabetes-specific complications, such as kidney failure and peripheral arterial disease. The epidemiology of other conditions frequently associated with diabetes, including infections and cardiovascular disease, may also change, with direct effects on quality of life, demands on health services and economic costs. The current understanding of the international burden of and variation in diabetes-related complications is poor. The available data suggest that rates of myocardial infarction, stroke and amputation are decreasing among people with diabetes, in parallel with declining mortality. However, these data predominantly come from studies in only a few high-income countries. Trends in other complications of diabetes, such as end-stage renal disease, retinopathy and cancer, are less well explored. In this review, we synthesise data from population-based studies on trends in diabetes complications, with the objectives of: (1) characterising recent and long-term trends in diabetes-related complications; (2) describing regional variation in the excess risk of complications, where possible; and (3) identifying and prioritising gaps for future surveillance and study.
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Abstract
The number of people with diabetes worldwide has more than doubled during the past 20 years. One of the most worrying features of this rapid increase is the emergence of type 2 diabetes in children, adolescents, and young adults. Although the role of traditional risk factors for type 2 diabetes (eg, genetic, lifestyle, and behavioural risk factors) has been given attention, recent research has focused on identifying the contributions of epigenetic mechanisms and the effect of the intrauterine environment. Epidemiological data predict an inexorable and unsustainable increase in global health expenditure attributable to diabetes, so disease prevention should be given high priority. An integrated approach is needed to prevent type 2 diabetes, taking into account its many origins and heterogeneity. Thus, research needs to be directed at improved understanding of the potential role of determinants such as the maternal environment and other early life factors, as well as changing trends in global demography, to help shape disease prevention programmes.
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Dunstan DW, Barr ELM, Healy GN, Salmon J, Shaw JE, Balkau B, Magliano DJ, Cameron AJ, Zimmet PZ, Owen N. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation 2010; 121:384-91. [PMID: 20065160 DOI: 10.1161/circulationaha.109.894824] [Citation(s) in RCA: 539] [Impact Index Per Article: 35.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Television viewing time, the predominant leisure-time sedentary behavior, is associated with biomarkers of cardiometabolic risk, but its relationship with mortality has not been studied. We examined the associations of prolonged television viewing time with all-cause, cardiovascular disease (CVD), cancer, and non-CVD/noncancer mortality in Australian adults. METHODS AND RESULTS Television viewing time in relation to subsequent all-cause, CVD, and cancer mortality (median follow-up, 6.6 years) was examined among 8800 adults > or =25 years of age in the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). During 58 087 person-years of follow-up, there were 284 deaths (87 CVD deaths, 125 cancer deaths). After adjustment for age, sex, waist circumference, and exercise, the hazard ratios for each 1-hour increment in television viewing time per day were 1.11 (95% confidence interval [CI], 1.03 to 1.20) for all-cause mortality, 1.18 (95% CI, 1.03 to 1.35) for CVD mortality, and 1.09 (95% CI, 0.96 to 1.23) for cancer mortality. Compared with a television viewing time of <2 h/d, the fully adjusted hazard ratios for all-cause mortality were 1.13 (95% CI, 0.87 to 1.36) for > or =2 to <4 h/d and 1.46 (95% CI, 1.04 to 2.05) for > or =4 h/d. For CVD mortality, corresponding hazard ratios were 1.19 (95% CI, 0.72 to 1.99) and 1.80 (95% CI, 1.00 to 3.25). The associations with both cancer mortality and non-CVD/noncancer mortality were not significant. CONCLUSIONS Television viewing time was associated with increased risk of all-cause and CVD mortality. In addition to the promotion of exercise, chronic disease prevention strategies could focus on reducing sitting time, particularly prolonged television viewing.
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Research Support, Non-U.S. Gov't |
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539 |
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Barr ELM, Zimmet PZ, Welborn TA, Jolley D, Magliano DJ, Dunstan DW, Cameron AJ, Dwyer T, Taylor HR, Tonkin AM, Wong TY, McNeil J, Shaw JE. Risk of cardiovascular and all-cause mortality in individuals with diabetes mellitus, impaired fasting glucose, and impaired glucose tolerance: the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). Circulation 2007; 116:151-7. [PMID: 17576864 DOI: 10.1161/circulationaha.106.685628] [Citation(s) in RCA: 513] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Diabetes mellitus increases the risk of cardiovascular disease (CVD) and all-cause mortality. The relationship between milder elevations of blood glucose and mortality is less clear. This study investigated whether impaired fasting glucose and impaired glucose tolerance, as well as diabetes mellitus, increase the risk of all-cause and CVD mortality. METHODS AND RESULTS In 1999 to 2000, glucose tolerance status was determined in 10,428 participants of the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). After a median follow-up of 5.2 years, 298 deaths occurred (88 CVD deaths). Compared with those with normal glucose tolerance, the adjusted all-cause mortality hazard ratios (HRs) and 95% confidence intervals (CIs) for known diabetes mellitus and newly diagnosed diabetes mellitus were 2.3 (1.6 to 3.2) and 1.3 (0.9 to 2.0), respectively. The risk of death was also increased in those with impaired fasting glucose (HR 1.6, 95% CI 1.0 to 2.4) and impaired glucose tolerance (HR 1.5, 95% CI 1.1 to 2.0). Sixty-five percent of all those who died of CVD had known diabetes mellitus, newly diagnosed diabetes mellitus, impaired fasting glucose, or impaired glucose tolerance at baseline. Known diabetes mellitus (HR 2.6, 95% CI 1.4 to 4.7) and impaired fasting glucose (HR 2.5, 95% CI 1.2 to 5.1) were independent predictors for CVD mortality after adjustment for age, sex, and other traditional CVD risk factors, but impaired glucose tolerance was not (HR 1.2, 95% CI 0.7 to 2.2). CONCLUSIONS This study emphasizes the strong association between abnormal glucose metabolism and mortality, and it suggests that this condition contributes to a large number of CVD deaths in the general population. CVD prevention may be warranted in people with all categories of abnormal glucose metabolism.
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Research Support, Non-U.S. Gov't |
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Zimmet P, Alberti KG, Magliano DJ, Bennett PH. Diabetes mellitus statistics on prevalence and mortality: facts and fallacies. Nat Rev Endocrinol 2016; 12:616-22. [PMID: 27388988 DOI: 10.1038/nrendo.2016.105] [Citation(s) in RCA: 472] [Impact Index Per Article: 52.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Diabetes mellitus is one of the most important public health challenges of the twenty-first century. Until the past decade, it has been seriously underrated as a global health threat. Major gaps exist in efforts to comprehend the burden nationally and globally, especially in developing nations, due to a lack of accurate data for monitoring and surveillance. Early attempts to obtain accurate data, discussed in this article, seem to have been cast aside so, at present, these needs remain unmet. Existing international efforts to assemble information fall far short of requirements. Current estimates are imprecise, only providing a rough picture, and probably underestimate the disease burden. The methodologies that are currently used, and that are discussed in this Perspectives article, are inadequate for providing a complete and accurate assessment of the prevalence of diabetes mellitus. International consensus on uniform standards and criteria for reporting national data on diabetes mellitus prevalence as well as for common complications of diabetes mellitus and mortality need to be developed.
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Review |
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Gregory GA, Robinson TIG, Linklater SE, Wang F, Colagiuri S, de Beaufort C, Donaghue KC, Magliano DJ, Maniam J, Orchard TJ, Rai P, Ogle GD. Global incidence, prevalence, and mortality of type 1 diabetes in 2021 with projection to 2040: a modelling study. Lancet Diabetes Endocrinol 2022; 10:741-760. [PMID: 36113507 DOI: 10.1016/s2213-8587(22)00218-2] [Citation(s) in RCA: 418] [Impact Index Per Article: 139.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 07/15/2022] [Accepted: 07/15/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Accurate data on type 1 diabetes prevalence, incidence, associated mortality and life expectancy are crucial to inform public health policy, but these data are scarce. We therefore developed a model based on available data to estimate these values for 201 countries for the year 2021 and estimate the projected prevalent cases in 2040. METHODS We fitted a discrete-time illness-death model (Markov model) to data on type 1 diabetes incidence and type 1 diabetes-associated mortality to produce type 1 diabetes prevalence, incidence, associated mortality and life expectancy in all countries. Type 1 diabetes incidence and mortality data were available from 97 and 37 countries respectively. Diagnosis rates were estimated using data from an expert survey. Mortality was modelled using random-forest regression of published type 1 diabetes mortality data, and life expectancy was calculated accordingly using life tables. Estimates were validated against observed prevalence data for 15 countries. We also estimated missing prevalence (the number of additional people who would be alive with type 1 diabetes if their mortality matched general population rates). FINDINGS In 2021, there were about 8·4 (95% uncertainty interval 8·1-8·8) million individuals worldwide with type 1 diabetes: of these 1·5 million (18%) were younger than 20 years, 5·4 million (64%) were aged 20-59 years, and 1·6 million (19%) were aged 60 years or older. In that year there were 0·5 million new cases diagnosed (median age of onset 39 years), about 35 000 non-diagnosed individuals died within 12 months of symptomatic onset. One fifth (1·8 million) of individuals with type 1 diabetes were in low-income and lower-middle-income countries. Remaining life expectancy of a 10-year-old diagnosed with type 1 diabetes in 2021 ranged from a mean of 13 years in low-income countries to 65 years in high-income countries. Missing prevalent cases in 2021 were estimated at 3·7 million. In 2040, we predict an increase in prevalent cases to 13·5-17·4 million (60-107% higher than in 2021) with the largest relative increase versus 2021 in low-income and lower-middle-income countries. INTERPRETATION The burden of type 1 diabetes in 2021 is vast and is expected to increase rapidly, especially in resource-limited countries. Most incident and prevalent cases are adults. The substantial missing prevalence highlights the premature mortality of type 1 diabetes and an opportunity to save and extend lives of people with type 1 diabetes. Our new model, which will be made publicly available as the Type 1 Diabetes Index model, will be an important tool to support health delivery, advocacy, and funding decisions for type 1 diabetes. FUNDING JDRF International.
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Bixby H, Bentham J, Zhou B, Di Cesare M, Paciorek CJ, Bennett JE, Taddei C, Stevens GA, Rodriguez-Martinez A, Carrillo-Larco RM, Khang YH, Sorić M, Gregg EW, Miranda JJ, Bhutta ZA, Savin S, Sophiea MK, Iurilli MLC, Solomon BD, Cowan MJ, Riley LM, Danaei G, Bovet P, Chirita-Emandi A, Hambleton IR, Hayes AJ, Ikeda N, Kengne AP, Laxmaiah A, Li Y, McGarvey ST, Mostafa A, Neovius M, Starc G, Zainuddin AA, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Hamid Z, Abubakar Garba J, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Agdeppa IA, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi N, Ahmadvand A, Ahrens W, Ajlouni K, AlBuhairan F, AlDhukair S, Al-Hazzaa HM, Ali MM, Ali O, Alkerwi A, Al-Othman AR, Al-Raddadi R, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Ängquist LH, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Azevedo A, Azizi F, Azmin M, Babu BV, Baharudin A, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Bata I, Batieha AM, Batista RL, Battakova Z, Batyrbek A, Baur LA, Beaglehole R, Bel-Serrat S, Ben Romdhane H, Benedics J, Benet M, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bi H, Bi Y, Biehl A, Bika Lele EC, Bikbov M, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Boissonnet CP, Bonaccio M, Bongard V, Bopp M, Borchini R, Borghs H, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, Cabrera de León A, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Can G, Cândido APC, Cañete F, Capanzana MV, Capuano E, Capuano V, Cardoso VC, Carlsson AC, Carmuega E, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Celikcan E, Censi L, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Che Abdul Rahim N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheng YJ, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirlaque MD, Cho B, Cho Y, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Concin H, Confortin SC, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Cucu A, Cui L, Dallongeville J, Damasceno A, Damsgaard CT, Dankner R, Dantoft TM, D’Arrigo G, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Delpeuch F, Dennison E, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, d’Orsi E, Doua K, Drygas W, Duan JL, Duante CA, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Egbagbe EE, Eggertsen R, Eiben G, Ekelund U, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farrugia Sant’Angelo V, Farzadfar F, Fattahi MR, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrer E, Ferrieres J, Fijalkowska A, Fink G, Fischer K, Flores EM, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, Franco MC, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Gafencu M, Galeone D, Galvano F, Gao J, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Gazzinelli A, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Ghasemian A, Gheorghe-Fronea OF, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gonçalves H, Gonzalez AR, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando ME, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Guo X, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Halkjær J, Hardy R, Hari Kumar R, Hassapidou M, Hata J, Haugsgjerd T, He J, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, Henriques A, Hernandez Cadena L, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huidumac Petrescu C, Huisman M, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Ibrahim Wong N, Ikram MA, Irazola VE, Ishida T, Islam M, Ismail AS, Ivkovic V, Iwasaki M, Jääskeläinen T, Jackson RT, Jacobs JM, Jaddou H, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jeong SL, Jiang CQ, Jimenez RO, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Jovic DP, Józwiak J, Juolevi A, Jurak G, Juresa V, Kaaks R, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kameli Y, Kapantais E, Karki KB, Kasaeian A, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Keinan-Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khateeb M, Khaw KT, Kheiri B, Khosravi A, Khouw IMSL, Kiechl S, Kiechl-Kohlendorfer U, Killewo J, Kim J, Kim YY, Klimont J, Klumbiene J, Knoflach M, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Koskinen S, Kouda K, Kovacs VA, Kowlessur S, Koziel S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kuh D, Kujala UM, Kujundzic E, Kulaga Z, Kumar RK, Kunešová M, Kurjata P, Kusuma YS, Kuulasmaa K, Kyobutungi C, La Q, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lang Morovic M, Lanska V, Lappas G, Larijani B, Latt TS, Laugsand LE, Lauria L, Lazo-Porras M, Le Nguyen Bao K, Le Port A, Le TD, Lee J, Lee J, Lee PH, Lehtimäki T, Lemogoum D, Levitt NS, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lind L, Linneberg A, Lissner L, Litwin M, Liu J, Loit HM, Lopes L, Lopez T, López-García E, Lorbeer R, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lytsy P, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Maggi S, Magliano DJ, Magriplis E, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Malyutina S, Maniego LV, Manios Y, Mann JI, Manzato E, Margozzini P, Markaki A, Markey O, Markidou Ioannidou E, Marques LP, Marques-Vidal P, Marrugat J, Martin R, Martin-Prevel Y, Martorell R, Martos E, Marventano S, Masoodi SR, Mathiesen EB, Mathur P, Matijasevich A, Matsha TE, Mazur A, Mbanya JCN, McFarlane SR, McKee M, McLachlan S, McLean RM, McLean SB, McNulty BA, Md Yusof S, Mediene-Benchekor S, Medzioniene J, Mehdipour P, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michaelsen KF, Michels N, Mikkel K, Miller JC, Minderico CS, Miquel JF, Mirkopoulou D, Mirrakhimov E, Misigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio EA, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin S, Mortensen EL, Moschonis G, Mossakowska M, Mota J, Mota-Pinto A, Motlagh ME, Motta J, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Milanovic SM, Musil V, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Nauck M, Navarrete-Muñoz EM, Neal WA, Nelis K, Nelis L, Nenko I, Nervi F, Nguyen CT, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Ning G, Ninomiya T, Nishtar S, Noale M, Noboa OA, Norat T, Norie S, Noto D, Nsour MA, Nurk E, Nyirenda M, Obreja G, Ochoa-Avilés AM, Oda E, Oh K, Ohara K, Ohtsuka R, Olafsson Ö, Olinto MTA, Oliveira IO, Oltarzewski M, Omar MA, Onat A, O’Neill TW, Ong SK, Ono LM, Ordunez P, O’Reilly D, Ornelas R, Ortiz AP, Ortiz PJ, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pagkalos I, Pahomova E, Pająk A, Palli D, Palloni A, Palmieri L, Pan WH, Panda-Jonas S, Pandey A, Panza F, Papandreou D, Park SW, Parnell WR, Parsaeian M, Pascanu IM, Patel ND, Pecin I, Pednekar MS, Peer N, Peixoto SV, Peltonen M, Pereira AC, Pérez CM, Perez-Farinos N, Peters A, Petersmann A, Petkeviciene J, Petrauskiene A, Peykari N, Pham ST, Pierannunzio D, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pistelli F, Pitakaka F, Piwonska A, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Portegies MLP, Posch G, Poulimeneas D, Pouraram H, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Puder JJ, Pudule I, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radhika MS, Radic I, Radisauskas R, Rahman M, Rahman M, Raitakari O, Raj M, Rajkumar H, Rakhmatulloev S, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rao KM, Rascon-Pacheco RA, Rasmussen M, Redon J, Reganit PFM, Regecová V, Revilla L, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, Rinaldo N, Rinke de Wit TF, Rito A, Ritti-Dias RM, Rivera JA, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, Rodriguez-Perez MC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruidavets JB, Ruiz Moreno E, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Safiri S, Saidi O, Salanave B, Salazar-Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Santa-Marina L, Santos DA, Santos IS, Santos O, Santos R, Sanz SS, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva S, Savy M, Scazufca M, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schöttker B, Schultsz C, Schutte AE, Sebert S, Sein AA, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera V, Serra-Majem L, Servais J, Shalnova SA, Sharma SK, Shaw JE, Shengelia L, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Si-Ramlee K, Sjöberg A, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, So HK, Sobngwi E, Söderberg S, Soekatri MYE, Soemantri A, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Sossa Jérome C, Soumaré A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Sun CA, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Sylva RC, Szponar L, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Tchibindat F, Tebar WR, Tell G, Tello T, Theobald H, Theodoridis X, Thijs L, Thuesen BH, Tichá L, Timmermans EJ, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Toselli S, Traissac P, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tsao YH, Tshepo L, Tsigga M, Tsugane S, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Tynelius P, Tzotzas T, Tzourio C, Ueda P, Ugel EE, Ukoli FAM, Ulmer H, Unal B, Uusitalo HMT, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varela-Moreiras G, Varona-Pérez P, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wan Bebakar WM, Wan Mohamud WN, Wanderley RS, Wang MD, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Weerasekera D, Weghuber D, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong JE, Wong TY, Wong-McClure RA, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Ye X, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yusoff AF, Zaccagni L, Zafiropulos V, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Zuñiga Cisneros J, Ezzati M. Rising rural body-mass index is the main driver of the global obesity epidemic in adults. Nature 2019; 569:260-264. [PMID: 31068725 PMCID: PMC6784868 DOI: 10.1038/s41586-019-1171-x] [Citation(s) in RCA: 405] [Impact Index Per Article: 67.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Accepted: 03/30/2019] [Indexed: 02/08/2023]
Abstract
Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity3-6. Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.
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Phelps NH, Singleton RK, Zhou B, Heap RA, Mishra A, Bennett JE, Paciorek CJ, Lhoste VPF, Carrillo-Larco RM, Stevens GA, Rodriguez-Martinez A, Bixby H, Bentham J, Di Cesare M, Danaei G, Rayner AW, Barradas-Pires A, Cowan MJ, Savin S, Riley LM, Aguilar-Salinas CA, Baker JL, Barkat A, Bhutta ZA, Branca F, Caixeta RB, Cuschieri S, Farzadfar F, Ganapathy S, Ikeda N, Iotova V, Kengne AP, Khang YH, Laxmaiah A, Lin HH, Ma J, Mbanya JCN, Miranda JJ, Pradeepa R, Rodríguez-Artalejo F, Sorić M, Turley M, Wang L, Webster-Kerr K, Aarestrup J, Abarca-Gómez L, Abbasi-Kangevari M, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abdurrahmonova Z, Abu-Rmeileh NM, Abubakar Garba J, Acosta-Cazares B, Adam I, Adamczyk M, Adams RJ, Adu-Afarwuah S, Aekplakorn W, Afsana K, Afzal S, Agbor VN, Agdeppa IA, Aghazadeh-Attari J, Ågren Å, Aguenaou H, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed I, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Hinai H, Al-Lahou B, Al-Lawati JA, Al-Raddadi R, Al Asfoor D, Al Hourani HM, Al Qaoud NM, Alarouj M, AlBuhairan F, AlDhukair S, Aldwairji MA, Alexius S, Ali MM, Alieva AV, Alkandari A, Alkerwi A, Alkhatib BM, Allin K, Alomary SA, Alomirah HF, Alshangiti AM, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiano Etxezarreta P, Amoah J, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Androutsos O, Ängquist L, Anjana RM, Ansari-Moghaddam A, Anufrieva E, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Assefa N, Aspelund T, Assah FK, Assembekov B, Assunção MCF, Aung MS, Aurélio de Valois CJM, Auvinen J, Avdičová M, Avi S, Azad K, Azevedo A, Azimi-Nezhad M, Azizi F, Babu BV, Bacopoulou F, Bæksgaard Jørgensen M, Baharudin A, Bahijri S, Bajramovic I, Bakacs M, Balakrishna N, Balanova Y, Bamoshmoosh M, Banach M, Banegas JR, Baran J, Baran R, Barbagallo CM, Barbosa Filho V, Barceló A, Baretić M, Barnoya J, Barrera L, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JL, 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Sharman A, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, Silva CRDM, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina EV, Skoblina NA, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Solovieva YV, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd EP, Sossa Jérome C, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stang A, Starc G, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Steinsbekk S, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suarez-Ortegón MF, Suebsamran P, Sugiyama M, Suka M, Sulo G, Sun CA, Sun L, Sund M, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szponar L, Tabone L, Tai ES, Takuro F, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tessema M, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thrift AG, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Topór-Mądry R, Torheim LE, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, Udoji N, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Vargas LN, Varona-Pérez P, Vasan SK, Vasques DG, Vatasescu R, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Verloigne M, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Viriyautsahakul N, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Vourli G, Voutilainen A, Vrijheid M, Vrijkotte TGM, Vuletić S, Wade AN, Waldhör T, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang C, Wang H, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wartha O, Weber A, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wichstrøm L, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wirth JP, Wojtyniak B, Woldeyohannes M, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan L, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, Yépez García M, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, Yotov Y, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zentai A, Zhang B, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zimmet P, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Zuziak M, Ezzati M. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403:1027-1050. [PMID: 38432237 PMCID: PMC7615769 DOI: 10.1016/s0140-6736(23)02750-2] [Citation(s) in RCA: 401] [Impact Index Per Article: 401.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. METHODS We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5-19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). FINDINGS From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. INTERPRETATION The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. FUNDING UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union.
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Chan JCN, Lim LL, Wareham NJ, Shaw JE, Orchard TJ, Zhang P, Lau ESH, Eliasson B, Kong APS, Ezzati M, Aguilar-Salinas CA, McGill M, Levitt NS, Ning G, So WY, Adams J, Bracco P, Forouhi NG, Gregory GA, Guo J, Hua X, Klatman EL, Magliano DJ, Ng BP, Ogilvie D, Panter J, Pavkov M, Shao H, Unwin N, White M, Wou C, Ma RCW, Schmidt MI, Ramachandran A, Seino Y, Bennett PH, Oldenburg B, Gagliardino JJ, Luk AOY, Clarke PM, Ogle GD, Davies MJ, Holman RR, Gregg EW. The Lancet Commission on diabetes: using data to transform diabetes care and patient lives. Lancet 2021; 396:2019-2082. [PMID: 33189186 DOI: 10.1016/s0140-6736(20)32374-6] [Citation(s) in RCA: 393] [Impact Index Per Article: 98.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 07/06/2020] [Accepted: 11/05/2020] [Indexed: 01/19/2023]
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Ogurtsova K, Guariguata L, Barengo NC, Ruiz PLD, Sacre JW, Karuranga S, Sun H, Boyko EJ, Magliano DJ. IDF diabetes Atlas: Global estimates of undiagnosed diabetes in adults for 2021. Diabetes Res Clin Pract 2022; 183:109118. [PMID: 34883189 DOI: 10.1016/j.diabres.2021.109118] [Citation(s) in RCA: 374] [Impact Index Per Article: 124.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 12/11/2022]
Abstract
AIMS To provide up-to-date estimates of undiagnosed diabetes mellitus (UDM) prevalence - both globally, and by region/country, for the year 2021. METHODS Data sources reporting diabetes prevalence were identified through a systematic search in the peer-reviewed and grey literature. The prevalence of undiagnosed diabetes was estimated from the data from each country where data was available. For countries without in-country data, the prevalence of undiagnosed diabetes was approximated by extrapolating the average of the estimates from countries with data sources within the same International Diabetes Federation (IDF) region and World Bank income grouping. We then applied these stratified prevalence estimates of UDM from each country to the number of adults in each strata and summed the counts to generate the number of adults with UDM (aged 20-79 years) for 215 countries and territories. RESULTS In 2021, almost one in two adults (20-79 years old) with diabetes were unaware of their diabetes status (44.7%; 239.7 million). The highest proportions of undiagnosed diabetes (53.6%) were found in the Africa, Western Pacific (52.8%) and South-East Asia regions (51.3%), respectively. The lowest proportion of undiagnosed diabetes was observed in North America and the Caribbean (24.2%). CONCLUSIONS Diabetes surveillance needs to be strengthened to reduce the prevalence of UDM, particularly in low- and middle-income countries.
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Koye DN, Magliano DJ, Nelson RG, Pavkov ME. The Global Epidemiology of Diabetes and Kidney Disease. Adv Chronic Kidney Dis 2018; 25:121-132. [PMID: 29580576 PMCID: PMC11000253 DOI: 10.1053/j.ackd.2017.10.011] [Citation(s) in RCA: 372] [Impact Index Per Article: 53.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 10/17/2017] [Accepted: 10/23/2017] [Indexed: 12/21/2022]
Abstract
The prevalence of diabetes is increasing worldwide, with the greatest increases occurring in low- and middle-income countries. In most developed countries, type 2 diabetes is presently the leading cause of end-stage renal disease and also contributes substantially to cardiovascular disease. In countries with weaker economies type 2 diabetes is rapidly replacing communicable diseases as a leading cause of kidney disease and is increasingly competing for scarce health care resources. Here, we present a narrative review of the prevalence and incidence of diabetes-related kidney disease worldwide. Mortality among those with diabetes and kidney disease will also be explored. Given the high morbidity and mortality associated with chronic kidney disease, we will also examine the level of awareness of this disease among people who have it.
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Abstract
The traditional complications of diabetes mellitus are well known and continue to pose a considerable burden on millions of people living with diabetes mellitus. However, advances in the management of diabetes mellitus and, consequently, longer life expectancies, have resulted in the emergence of evidence of the existence of a different set of lesser-acknowledged diabetes mellitus complications. With declining mortality from vascular disease, which once accounted for more than 50% of deaths amongst people with diabetes mellitus, cancer and dementia now comprise the leading causes of death in people with diabetes mellitus in some countries or regions. Additionally, studies have demonstrated notable links between diabetes mellitus and a broad range of comorbidities, including cognitive decline, functional disability, affective disorders, obstructive sleep apnoea and liver disease, and have refined our understanding of the association between diabetes mellitus and infection. However, no published review currently synthesizes this evidence to provide an in-depth discussion of the burden and risks of these emerging complications. This Review summarizes information from systematic reviews and major cohort studies regarding emerging complications of type 1 and type 2 diabetes mellitus to identify and quantify associations, highlight gaps and discrepancies in the evidence, and consider implications for the future management of diabetes mellitus.
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Magliano DJ, Sacre JW, Harding JL, Gregg EW, Zimmet PZ, Shaw JE. Young-onset type 2 diabetes mellitus - implications for morbidity and mortality. Nat Rev Endocrinol 2020; 16:321-331. [PMID: 32203408 DOI: 10.1038/s41574-020-0334-z] [Citation(s) in RCA: 254] [Impact Index Per Article: 50.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/13/2020] [Indexed: 12/20/2022]
Abstract
Accumulating data suggest that type 2 diabetes mellitus (T2DM) in younger people (aged <40 years), referred to as young-onset T2DM, has a more rapid deterioration of β-cell function than is seen in later-onset T2DM. Furthermore, individuals with young-onset T2DM seem to have a higher risk of complications than those with type 1 diabetes mellitus. As the number of younger adults with T2DM increases, young-onset T2DM is predicted to become a more frequent feature of the broader diabetes mellitus population in both developing and developed nations, particularly in certain ethnicities. However, the magnitude of excess risk of premature death and incident complications remains incompletely understood; likewise, the potential reasons for this excess risk are unclear. Here, we review the evidence pertaining to young-onset T2DM and its current and future burden of disease in terms of incidence and prevalence in both developed and developing nations. In addition, we highlight the associations of young-onset T2DM with premature mortality and morbidity.
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Huynh K, Barlow CK, Jayawardana KS, Weir JM, Mellett NA, Cinel M, Magliano DJ, Shaw JE, Drew BG, Meikle PJ. High-Throughput Plasma Lipidomics: Detailed Mapping of the Associations with Cardiometabolic Risk Factors. Cell Chem Biol 2018; 26:71-84.e4. [PMID: 30415965 DOI: 10.1016/j.chembiol.2018.10.008] [Citation(s) in RCA: 229] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 04/06/2018] [Accepted: 10/05/2018] [Indexed: 12/26/2022]
Abstract
High-throughput targeted lipid profiling with liquid chromatography-mass spectrometry (LC-MS) has been used extensively to identify associations between plasma lipid species and disease states. Such methods, used to characterize larger clinical cohorts, often suffer from an inability to differentiate isomeric forms of glycerophospholipids that are typically reported as the sum fatty acid carbons and double bonds. Here we report a chromatography gradient coupled with a detailed characterization of the human plasma lipidome to provide improved resolution and identification of 636 lipid species, including previously unreported species, in a 15-min analysis. We have utilized this method on a subset of the Australian Diabetes, Obesity, and Lifestyle Study and have detailed associations of plasma lipid species with anthropometric and blood glucose measures. These results highlight the importance and power of high-throughput lipidomics coupled with a detailed characterization of the lipidome to better understand lipid biology in a population setting.
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Research Support, Non-U.S. Gov't |
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Rancière F, Lyons JG, Loh VHY, Botton J, Galloway T, Wang T, Shaw JE, Magliano DJ. Bisphenol A and the risk of cardiometabolic disorders: a systematic review with meta-analysis of the epidemiological evidence. Environ Health 2015; 14:46. [PMID: 26026606 PMCID: PMC4472611 DOI: 10.1186/s12940-015-0036-5] [Citation(s) in RCA: 201] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Accepted: 05/25/2015] [Indexed: 05/18/2023]
Abstract
Bisphenol A (BPA) is suspected to be associated with several chronic metabolic diseases. The aim of the present study was to review the epidemiological literature on the relation between BPA exposure and the risk of cardiometabolic disorders. PubMed and Embase databases were searched up to August 2014 by two independent investigators using standardized subject terms. We included observational studies (cohort, case-control and cross-sectional studies) carried out in children or adults, measuring urinary BPA (uBPA), including at least 100 participants and published in English. The health outcomes of interest were diabetes, hyperglycemia, measures of anthropometry, cardiovascular disease (CVD) and hypertension. Data were extracted and meta-analyzed when feasible, using a random-effects model. Thirty-three studies with sample size ranging from 239 to 4811 met the inclusion criteria, including five with a prospective design. Twelve studies reported on diabetes or hyperglycemia, 16 on anthropometry, 6 on CVD and 3 on hypertension. Evidence for a positive association between uBPA concentrations and diabetes, overweight, obesity, elevated waist circumference (WC), CVD and hypertension was found in 7/8, 2/7, 6/7, 5/5, 4/5 and 2/3 of the cross-sectional studies, respectively. We were able to conduct outcome-specific meta-analyses including 12 studies. When comparing the highest vs. the lowest uBPA concentrations, the pooled ORs were 1.47 (95% CI: 1.21-1.80) for diabetes, 1.21 (95% CI: 0.98-1.50) for overweight, 1.67 (95% CI: 1.41-1.98) for obesity, 1.48 (95% CI: 1.25-1.76) for elevated WC, and 1.41 (95% CI: 1.12-1.79) for hypertension. Moreover, among the five prospective studies, 3 reported significant findings, relating BPA exposure to incident diabetes, incident coronary artery disease, and weight gain. To conclude, there is evidence from the large body of cross-sectional studies that individuals with higher uBPA concentrations are more likely to suffer from diabetes, general/abdominal obesity and hypertension than those with lower uBPA concentrations. Given the potential importance for public health, prospective cohort studies with proper adjustment for dietary characteristics and identification of critical windows of exposure are urgently needed to further improve knowledge about potential causal links between BPA exposure and the development of chronic disease.
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Chen L, Magliano DJ, Balkau B, Colagiuri S, Zimmet PZ, Tonkin AM, Mitchell P, Phillips PJ, Shaw JE. AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust 2010. [DOI: 10.5694/j.1326-5377.2010.tb03478.x] [Citation(s) in RCA: 199] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Daly RM, Gagnon C, Lu ZX, Magliano DJ, Dunstan DW, Sikaris KA, Zimmet PZ, Ebeling PR, Shaw JE. Prevalence of vitamin D deficiency and its determinants in Australian adults aged 25 years and older: a national, population-based study. Clin Endocrinol (Oxf) 2012; 77:26-35. [PMID: 22168576 DOI: 10.1111/j.1365-2265.2011.04320.x] [Citation(s) in RCA: 196] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Vitamin D deficiency is recognized as a global public health problem, but the population-based prevalence of deficiency and its determinants in Australian adults is not known. This study evaluated the vitamin D status of Australian adults aged ≥25 years and risk factors associated with vitamin D deficiency in this population. DESIGN AND PATIENTS We studied a national sample of 11,247 Australian adults enrolled in the 1999/2000 Australian Diabetes, Obesity and Lifestyle (AusDiab) study drawn from 42 randomly selected districts throughout Australia. MEASUREMENTS Serum concentrations of 25-hydroxyvitamin D [25(OH)D] were measured by immunoassay. Vitamin D deficiency was defined as a concentration <50 nmol/l. Information on demographic and lifestyle factors was derived from interview-administered questionnaires. RESULTS The mean serum 25(OH)D concentration was 63 nmol/l (95% CI: 59-67 nmol/l). Only 4% of the population had a level <25 nmol/l, but the prevalence of vitamin D deficiency (<50 nmol/l) was 31% (22% men; 39% women); 73% had levels <75 nmol/l. The prevalence of vitamin D deficiency increased significantly with age, was greater in women, in those of non-Europid origin, in the obese and those who were physically inactive and with a higher level of education. Deficiency was also more common during winter and in people residing in southern Australia (latitude >35°S); 42% of women and 27% of men were deficient during summer-autumn, which increased to 58% and 35%, respectively, during winter-spring. CONCLUSION Vitamin D deficiency is common in Australia affecting nearly one-third of adults aged ≥25 years. This indicates that strategies are needed at the population level to improve vitamin D status of Australians.
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Magliano DJ, Islam RM, Barr ELM, Gregg EW, Pavkov ME, Harding JL, Tabesh M, Koye DN, Shaw JE. Trends in incidence of total or type 2 diabetes: systematic review. BMJ 2019; 366:l5003. [PMID: 31511236 PMCID: PMC6737490 DOI: 10.1136/bmj.l5003] [Citation(s) in RCA: 193] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To assess what proportions of studies reported increasing, stable, or declining trends in the incidence of diagnosed diabetes. DESIGN Systematic review of studies reporting trends of diabetes incidence in adults from 1980 to 2017 according to PRISMA guidelines. DATA SOURCES Medline, Embase, CINAHL, and reference lists of relevant publications. ELIGIBILITY CRITERIA Studies of open population based cohorts, diabetes registries, and administrative and health insurance databases on secular trends in the incidence of total diabetes or type 2 diabetes in adults were included. Poisson regression was used to model data by age group and year. RESULTS Among the 22 833 screened abstracts, 47 studies were included, providing data on 121 separate sex specific or ethnicity specific populations; 42 (89%) of the included studies reported on diagnosed diabetes. In 1960-89, 36% (8/22) of the populations studied had increasing trends in incidence of diabetes, 55% (12/22) had stable trends, and 9% (2/22) had decreasing trends. In 1990-2005, diabetes incidence increased in 66% (33/50) of populations, was stable in 32% (16/50), and decreased in 2% (1/50). In 2006-14, increasing trends were reported in only 33% (11/33) of populations, whereas 30% (10/33) and 36% (12/33) had stable or declining incidence, respectively. CONCLUSIONS The incidence of clinically diagnosed diabetes has continued to rise in only a minority of populations studied since 2006, with over a third of populations having a fall in incidence in this time period. Preventive strategies could have contributed to the fall in diabetes incidence in recent years. Data are limited in low and middle income countries, where trends in diabetes incidence could be different. SYSTEMATIC REVIEW REGISTRATION Prospero CRD42018092287.
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Systematic Review |
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Harding JL, Shaw JE, Peeters A, Cartensen B, Magliano DJ. Cancer risk among people with type 1 and type 2 diabetes: disentangling true associations, detection bias, and reverse causation. Diabetes Care 2015; 38:264-70. [PMID: 25488912 DOI: 10.2337/dc14-1996] [Citation(s) in RCA: 185] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Evidence indicates an increased risk of certain cancers among people with type 2 diabetes. Evidence for rarer cancers and for type 1 diabetes is limited. We explored the excess risk of site-specific cancer incidence and mortality among people with type 1 and type 2 diabetes, compared with the general Australian population. RESEARCH DESIGN AND METHODS Registrants of a national diabetes registry (953,382) between 1997 and 2008 were linked to national death and cancer registries. Standardized incidence and mortality ratios (SIRs/SMRs) are reported. RESULTS For type 1 diabetes, significant elevated SIRs were observed for pancreas, liver, esophagus, colon and rectum (females only [F]), stomach (F), thyroid (F), brain (F), lung (F), endometrium, and ovary, and decreased SIRs were observed for prostate in males. Significantly increased SMRs were observed for pancreas, liver, and kidney (males only), non-Hodgkin's lymphoma, brain (F), and endometrium. For type 2 diabetes, significant SIRs were observed for almost all site-specific cancers, with highest SIRs observed for liver and pancreas, and decreased risks for prostate and melanoma. Significant SMRs were observed for liver, pancreas, kidney, Hodgkin's lymphoma, gallbladder (F), stomach (F), and non-Hodgkin's lymphoma (F). Cancer risk was significantly elevated throughout follow-up time but was higher in the first 3 months postregistration, suggesting the presence of detection bias and/or reverse causation. CONCLUSIONS Type 1 and type 2 diabetes are associated with an excess risk of incidence and mortality for overall and a number of site-specific cancers, and this is only partially explained by bias. We suggest that screening for cancers in diabetic patients is important.
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Ruta LM, Magliano DJ, Lemesurier R, Taylor HR, Zimmet PZ, Shaw JE. Prevalence of diabetic retinopathy in Type 2 diabetes in developing and developed countries. Diabet Med 2013; 30:387-98. [PMID: 23331210 DOI: 10.1111/dme.12119] [Citation(s) in RCA: 185] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/10/2013] [Indexed: 12/19/2022]
Abstract
BACKGROUND As the global prevalence of diabetes increases, so will the numbers of people with diabetic retinopathy. Our review aimed to provide a comprehensive picture of available studies of diabetic retinopathy and how prevalence varies around the developed and developing world. METHODS A detailed literature search using PubMed was undertaken. The following search term was used: 'diabetic retinopathy AND prevalence'. The titles and abstracts of all publications identified by the search were reviewed and 492 studies were retrieved. Inclusion and exclusion criteria were applied. RESULTS A total of 72 articles from 33 countries were included. There were only 26 population-based studies using fundus photography (12 in developing countries), of which only 16 (eight in developing countries) were published since 2000. Prevalence estimates varied from as low as 10% to as high as 61% in persons with known diabetes and from 1.5 to 31% in newly diagnosed diabetes. Across all the studies, the median (interquartile range) prevalence of any diabetic retinopathy in known diabetes was 27.9% (22-37%) and 10.5% (6-16%) in newly diagnosed diabetes. Prevalence of diabetic retinopathy was higher in developing countries. CONCLUSION Significant gaps exist in that reliable population-based data from developing nations and indigenous populations in particular are lacking. Major differences in study characteristics and methodologies make comparisons very difficult. More research is required and study methodologies must be better standardized. This will provide important information for prevention and treatment strategies.
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Review |
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Rodriguez-Martinez A, Zhou B, Sophiea MK, Bentham J, Paciorek CJ, Iurilli MLC, Carrillo-Larco RM, Bennett JE, Di Cesare M, Taddei C, Bixby H, Stevens GA, Riley LM, Cowan MJ, Savin S, Danaei G, Chirita-Emandi A, Kengne AP, Khang YH, Laxmaiah A, Malekzadeh R, Miranda JJ, Moon JS, Popovic SR, Sørensen TIA, Soric M, Starc G, Zainuddin AA, Gregg EW, Bhutta ZA, Black R, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abu-Rmeileh NM, Abubakar Garba J, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiri P, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Ängquist L, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris 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X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zocalo Y, Zuñiga Cisneros J, Zuziak M, Ezzati M. 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. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 34.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
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. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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