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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: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [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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Zhou B, Sheffer KE, Bennett JE, Gregg EW, Danaei G, Singleton RK, Shaw JE, Mishra A, Lhoste VPF, Carrillo-Larco RM, Kengne AP, Phelps NH, Heap RA, Rayner AW, Stevens GA, Paciorek CJ, Riley LM, Cowan MJ, Savin S, Vander Hoorn S, Lu Y, Pavkov ME, Imperatore G, Aguilar-Salinas CA, Ahmad NA, Anjana RM, Davletov K, Farzadfar F, González-Villalpando C, Khang YH, Kim HC, Laatikainen T, Laxmaiah A, Mbanya JCN, Narayan KMV, Ramachandran A, Wade AN, Zdrojewski T, Abbasi-Kangevari M, Rahim HFA, Abu-Rmeileh NM, Adambekov S, Adams RJ, Aekplakorn W, Agdeppa IA, Aghazadeh-Attari J, Agyemang C, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed SH, Ajlouni K, Al-Hinai H, Al-Lahou B, Al-Lawati JA, Asfoor DA, Al Qaoud NM, Alarouj M, AlBuhairan F, AlDhukair S, Aldwairji MA, Ali MM, Alinezhad F, Alkandari A, Alomirah HF, Aly E, Amarapurkar DN, Andersen LB, Anderssen SA, Andrade DS, Ansari-Moghaddam A, Aounallah-Skhiri H, Aris T, Arlappa N, Aryal KK, Assah FK, Assembekov B, Auvinen J, Avdičová M, Azad K, Azimi-Nezhad M, Azizi F, Bacopoulou F, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Baretić M, Barrera L, Basit A, Batieha AM, Batista AP, Baur LA, Belavendra A, Ben Romdhane H, Benet M, Berkinbayev S, Bernabe-Ortiz A, Berrios Carrasola X, Bettiol H, Beybey AF, Bhargava SK, Bika Lele EC, Bikbov MM, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boggia JG, Bonaccio M, Bonilla-Vargas A, Borghs H, Bovet P, Brajkovich I, Brenner H, Brewster LM, Brian GR, Briceño Y, Brito M, Bugge A, Buntinx F, Cabrera de León A, Caixeta RB, Can G, Cândido APC, Capanzana MV, Čapková N, Capuano E, Capuano R, Capuano V, Cardoso VC, Carlsson AC, Casanueva FF, Censi L, Cervantes‐Loaiza M, Chamnan P, Chamukuttan S, Chan Q, Charchar FJ, Chaturvedi N, Chen H, Cheraghian B, Chirlaque MD, Chudek J, Cifkova R, Cirillo M, Claessens F, Cohen E, Concin H, Cooper C, Costanzo S, Cowell C, Crujeiras AB, Cruz JJ, Cureau FV, Cuschieri S, D’Arrigo G, d’Orsi E, Dallongeville J, Damasceno A, Dastgiri S, De Curtis A, de Gaetano G, De Henauw S, Deepa M, DeGennaro V, Demarest S, Dennison E, Deschamps V, Dhimal M, Dika Z, Djalalinia S, Donfrancesco C, Dong G, Dorobantu M, Dörr M, Dragano N, Drygas W, Du Y, Duante CA, Duboz P, Dushpanova A, Dziankowska-Zaborszczyk E, Ebrahimi N, Eddie R, Eftekhar E, Efthymiou V, Egbagbe EE, Eghtesad S, El-Khateeb M, El Ati J, Eldemire-Shearer D, Elosua R, Enang O, Erasmus RT, Erbel R, Erem C, Ergor G, Eriksen L, Eriksson JG, Esmaeili A, Evans RG, Fakhradiyev I, Fall CH, Faramarzi E, Farjam M, Farzi Y, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernández-Bergés D, Ferrari M, Ferreccio C, Ferreira HS, Ferrer E, Feskens EJM, Flood D, Forsner M, Fosse S, Fottrell EF, Fouad HM, Francis DK, Frontera G, Furusawa T, Gaciong Z, Garnett SP, Gasull M, Gazzinelli A, Gehring U, Ghaderi E, Ghamari SH, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gianfagna F, Gill TK, Gironella G, Giwercman A, Goltzman D, Gomula A, Gonçalves H, Gonçalves M, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando ME, Gonzalez AR, Gottrand F, Grafnetter D, Grodzicki T, Grøntved A, Guerrero R, Gujral UP, Gupta R, Gutierrez L, Gwee X, Haghshenas R, Hakimi H, Hambleton IR, Hamzeh B, Hanekom WA, Hange D, Hantunen S, Hao J, Hari Kumar R, Harooni J, Hashemi-Shahri SM, Hata J, Heidemann C, Henrique RDS, Herrala S, Herzig KH, Heshmat R, Ho SY, Holdsworth M, Homayounfar R, Hopman WM, Horimoto ARVR, Hormiga C, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Huerta JM, Huhtaniemi IT, Huisman M, Husseini A, Huybrechts I, Iacoviello L, Iakupova EM, Iannone AG, Ibrahim Wong N, Ijoma C, Irazola VE, Ishida T, Isiguzo GC, Islam SMS, Islek D, Ittermann T, Iwasaki M, Jääskeläinen T, Jacobs JM, Jaddou HY, Jadoul M, Jallow B, James K, Jamil KM, Janus E, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jimenez RO, Jöckel KH, Jokelainen JJ, Jonas JB, Joshi P, Josipović J, Joukar F, Jóźwiak J, Kafatos A, Kajantie EO, Kalmatayeva Z, Karki KB, Katibeh M, Kauhanen J, Kazakbaeva GM, Kaze FF, Ke C, Keinänen-Kiukaanniemi S, Kelishadi R, Keramati M, Kersting M, Khader YS, Khaledifar A, Khalili D, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl SJ, Kiechl S, Kingston A, Klakk H, Klanova J, Knoflach M, Kolsteren P, König J, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kowlessur S, Koziel S, Kriemler S, Kristensen PL, Kromhout D, Kubinova R, Kujala UM, Kulimbet M, Kurjata P, Kyobutungi C, La QN, Labadarios D, Lachat C, Laid Y, Lall L, Lankila T, Lanska V, Lappas G, Larijani B, Latt TS, Laurenzi M, Lehmann N, Lehtimäki T, Lemogoum D, Leung GM, Li Y, Lima-Costa MF, Lin HH, Lind L, Lissner L, Liu X, Lopez-Garcia E, Lopez T, Lozano JE, Luksiene D, Lundqvist A, Lunet N, Lustigová M, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Macieira LM, Madar AA, Maestre GE, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Makdisse M, Malekpour MR, Malekzadeh F, Malekzadeh R, Mallikharjuna Rao K, Malyutina S, Maniego LV, Manios Y, Mannix MI, Mansour-Ghanaei F, Manzato E, Margozzini P, Mariño J, Marques LP, Martorell R, Mascarenhas LP, Masinaei M, Mathiesen EB, Matsha TE, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, Mediene Benchekor S, Mehlig K, Mehrparvar AH, Melgarejo JD, Méndez F, Menezes AMB, Mereke A, Meshram II, Meto DT, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Modesti PA, Moghaddam SS, Mohamed MK, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohd Yusoff MF, Mohebbi I, Møller NC, Molnár D, Momenan A, Mondo CK, Montenegro Mendoza RA, Monterrubio-Flores E, Moosazadeh M, Moradpour F, Morejon A, Moreno LA, Morgan K, Morin SN, Moslem A, Mosquera M, Mossakowska M, Mostafa A, Mostafavi SA, Motlagh ME, Motta J, Msyamboza KP, Mu TT, Muiesan ML, Mursu J, Musa KI, Mustafa N, Muyer MTMC, Nabipour I, Nagel G, Naidu BM, Najafi F, Námešná J, Nangia VB, Naseri T, Neelapaichit N, Nejatizadeh A, Nenko I, Nervi F, Ng TP, Nguyen CT, Nguyen QN, Ni MY, Nie P, Nieto-Martínez RE, Ninomiya T, Noale M, Noboa OA, Noto D, Nsour MA, Nuhoğlu I, O’Neill TW, Odili AN, Oh K, Ohtsuka R, Omar MA, Onat A, Ong SK, Onodugo O, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostovar A, Otero JA, Ottendahl CB, Otu A, Owusu-Dabo E, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Paoli M, Park S, Parsaeian M, Patel ND, Pechlaner R, Pećin I, Pedro JM, Peixoto SV, Peltonen M, Pereira AC, Pessôa dos Prazeres TM, Peykari N, Phall MC, Pham ST, Phan HH, Pichardo RN, Pikhart H, Pilav A, Piler P, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Plata S, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Providencia R, Puder JJ, Puhakka S, Punab M, Qorbani M, Quintana HK, Quoc Bao T, Rahimikazerooni S, Raitakari O, Ramirez-Zea M, Ramke J, Ramos R, Rampal L, Rampal S, Rangel Reina DA, Rashidi MM, Redon J, Renner JDP, Reuter CP, Revilla L, Rezaei N, Rezaianzadeh A, Rigo F, Roa RG, Robinson L, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Rodríguez AY, Roggenbuck U, Rohloff P, Romeo EL, Rosengren A, Rubinstein A, Rust P, Rutkowski M, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saghi MH, Saidi O, Saki N, Šalaj S, Salanave B, Salonen JT, Salvetti M, Sánchez-Abanto J, Santos DA, Santos LC, Santos MP, Santos TR, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Sbaraini M, Scazufca M, Schaan BD, Scheidt-Nave C, Schipf S, Schmidt CO, Schöttker B, Schramm S, Sebert S, Sedaghattalab M, Sein AA, Sepanlou SG, Sewpaul R, Shamah-Levy T, Shamshirgaran SM, Sharafkhah M, Sharma SK, Sharman A, Shayanrad A, Shayesteh AA, Shimizu-Furusawa H, Shiri R, Shrestha N, Si-Ramlee K, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Soumaré A, Sousa-Poza A, Sparrenberger K, Staessen JA, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stessman J, Stokwiszewski J, Stronks K, Suarez-Ortegón MF, Suebsamran P, Sundström J, Suriyawongpaisal P, Sylva RC, Szklo M, Tamosiunas A, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tello T, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thrift AG, Timmermans EJ, Tjandrarini DH, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Torres-Collado L, Traissac P, Triantafyllou A, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tuomainen TP, Tzala E, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Uusitalo HMT, Valdivia G, van den Born BJ, Van der Heyden J, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Vasan SK, Vega T, Velasquez-Melendez G, Verstraeten R, Viet L, Villalpando S, Vioque J, Virtanen JK, Viswanathan B, Voutilainen A, Wan Bebakar WM, Wan Mohamud WN, Wang C, Wang N, Wang Q, Wang YX, Wang YW, Wannamethee SG, Webster-Kerr K, Wedderkopp N, Wei W, Westbury LD, Whincup PH, Widhalm K, Widyahening IS, Więcek A, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong A, Wong EB, Woodward M, Wu FC, Xu H, Xu L, Yaacob NA, Yan L, Yan W, Yoosefi M, Yoshihara A, Younger-Coleman NO, Yu YL, Yu Y, Yusoff AF, Zainuddin AA, Zamani F, Zambon S, Zampelas A, Zaw KK, Zeljkovic Vrkic T, Zeng Y, Zhang ZY, Zholdin B, Zimmet P, Zitt E, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. Nat Med 2023; 29:2885-2901. [PMID: 37946056 PMCID: PMC10667106 DOI: 10.1038/s41591-023-02610-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 09/25/2023] [Indexed: 11/12/2023]
Abstract
Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.
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Mishra A, Zhou B, Rodriguez-Martinez A, Bixby H, Singleton RK, Carrillo-Larco RM, Sheffer KE, Paciorek CJ, Bennett JE, Lhoste V, Iurilli MLC, Di Cesare M, Bentham J, Phelps NH, Sophiea MK, Stevens GA, Danaei G, Cowan MJ, Savin S, Riley LM, Gregg EW, Aekplakorn W, Ahmad NA, Baker JL, Chirita-Emandi A, Farzadfar F, Fink G, Heinen M, Ikeda N, Kengne AP, Khang YH, Laatikainen T, Laxmaiah A, Ma J, Monroy-Valle M, Mridha MK, Padez CP, Reynolds A, Sorić M, Starc G, Wirth JP, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Ghaffar SA, Abdul Rahim HF, Abdurrahmonova Z, Abu-Rmeileh NM, Garba JA, Acosta-Cazares B, Adam I, Adamczyk M, Adams RJ, Adu-Afarwuah S, Afsana K, Afzal S, Agbor VN, Agdeppa IA, Aghazadeh-Attari J, Aguenaou H, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed I, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Lahou B, Al-Raddadi R, Al Hourani HM, Al Qaoud NM, Alarouj M, AlBuhairan F, AlDhukair S, Aldwairji MA, Alexius S, Ali MM, Alkandari A, Alkerwi A, Alkhatib BM, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Etxezarreta PA, 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, Aseffa N, Aspelund T, Assah FK, Assembekov B, Assunção MCF, Aung MS, Auvinen J, Avdičová M, Avi S, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Jørgensen MB, Baharudin A, Bahijri S, Bakacs M, Balakrishna N, Balanova Y, Bamoshmoosh M, Banach M, Banegas JR, Baran J, Baran R, Barbagallo CM, Filho VB, Barceló A, Baretić M, Barkat A, Barnoya J, Barrera L, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batista AP, Batista RL, Battakova Z, Baur LA, Bayauli PM, Beaglehole R, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedics J, Benet M, Rolandi GEB, Bere E, Bergh IH, Berhane Y, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, 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Vrijkotte TGM, Wade AN, Waldhör T, Walton J, Wambiya EOA, Bebakar WMW, Mohamud WNW, de Souza Wanderley Júnior R, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Webster-Kerr K, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojciech R, Wojtyniak B, 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 W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, García MY, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, 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, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Cisneros JZ, Zuziak M, Bhutta ZA, Black RE, Ezzati M. Diminishing benefits of urban living for children and adolescents' growth and development. Nature 2023; 615:874-883. [PMID: 36991188 PMCID: PMC10060164 DOI: 10.1038/s41586-023-05772-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 01/30/2023] [Indexed: 03/31/2023]
Abstract
Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1-6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5-19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m-2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified.
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Lumori BAE, Nuwagira E, Abeya FC, Araye AA, Masette G, Mondo CK, Okello S, Muzoora C, Muyingo A. Association of body mass index with left ventricular diastolic dysfunction among ambulatory individuals with diabetes mellitus in rural Uganda: a cross-sectional study. BMC Cardiovasc Disord 2022; 22:279. [PMID: 35725371 PMCID: PMC9210682 DOI: 10.1186/s12872-022-02718-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 06/14/2022] [Indexed: 11/20/2022] Open
Abstract
Background Left ventricular diastolic dysfunction (LVDD) is a recognized complication of diabetes mellitus that precedes and is a risk factor for heart failure. We aimed to determine the prevalence of LVDD and its association with body mass index in ambulatory adults with diabetes mellitus in rural Uganda.
Methods We conducted a cross-sectional study, over 5 months, to enroll 195 ambulatory Ugandan adults living with diabetes mellitus for at least five years at Mbarara Regional Referral Hospital. We collected demographic, and clinical data and measured body mass index (BMI). Echocardiography was performed to determine LVDD by assessing the mitral inflow ventricular filling velocities (E/A and E/è ratios), tricuspid regurgitant jet peak velocity, and left atrium maximum volume index. We used logistic regression to estimate the odds ratio for the association of LVDD with BMI and evaluated the variation of associations by age and hypertension status.
Results Of the 195 participants, 141 (72.31%) were female, the mean age was 62 [standard deviation, 11.50] years, and the median duration of diabetes diagnosis was 10 [interquartile range, 7, 15] years. Eighty-six percent (n = 168) had LVDD with the majority (n = 127, 65.1%) of participants in the grade 1 category of LVDD. In the adjusted model, the odds of LVDD for each 1 kg/m2 increase in BMI was 1.11 [95% confidence interval 1.00, 1.25, p = 0.04]. The adjusted odds of LVDD among individuals aged ≥ 50 years with BMI ≥ 25 kg/m2 was 13.82 times the odds of LVDD in individuals aged < 50 years with BMI < 25 kg/m2. Conclusion LVDD is prevalent and positively associated with BMI among ambulatory Ugandan adults living with diabetes mellitus for at least five years. The association was higher for older overweight/obese than younger individuals with normal weight. Future studies should focus on the effect of weight loss on LVDD as a possible target for the prevention of heart failure.
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Affiliation(s)
| | - Edwin Nuwagira
- Department of Internal Medicine, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda
| | - Fardous Charles Abeya
- Department of Internal Medicine, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda
| | - Abdirahman Ali Araye
- Department of Internal Medicine, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda
| | - Godfrey Masette
- Department of Microbiology and Immunology, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Charles K Mondo
- Uganda Heart Institute, Makerere University College of Health Sciences, Kampala, Uganda
| | - Samson Okello
- Department of Internal Medicine, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.,Lown Scholars Program, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia Health Systems, Charlottesville, VA, USA
| | - Conrad Muzoora
- Department of Internal Medicine, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda
| | - Anthony Muyingo
- Department of Internal Medicine, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda
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Ingabire PM, Ojji DB, Rayner B, Ogola E, Damasceno A, Erika J, Dzudie A, Ogah O, Poulter N, Sani MU, Barasa F, Shedul G, Mukisa J, Mukunya D, Mondo CK. High prevalence of non-dipping patterns among black Africans with uncontrolled hypertension: a secondary analysis of the CREOLE trial. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Dipping of blood pressure (BP) at night is a normal physiological phenomenon. However, a non-dipping pattern is associated with hypertension mediated organ damage, secondary forms of hypertension and poorer long-term outcome. Identifying a non-dipping pattern may be useful in assessing risk, aiding the decision to investigate for secondary causes, initiating treatment, assisting decisions on choice and timing of anti-hypertensive therapy, and intensifying salt restriction.
Objectives
To estimate the prevalence and factors associated with non-dipping pattern and determine the effect of three 6-months anti-hypertensive regimens on the dipping pattern among Black African hypertensive patients.
Methods
This was a secondary analysis of the CREOLE Study which was a randomized, single blind, three-group trial conducted in 10 sites in 6 Sub-Saharan African countries. The participants were 721 Black African patients, aged between 30 and 79 years, with uncontrolled hypertension and a baseline 24-hour ambulatory blood pressure monitoring (ABPM). Dipping was calculated from the average day and average night systolic blood pressure measures.
Results
The prevalence of non-dipping pattern was 78% (564 of 721). Factors that were independently associated with non-dipping were: serum sodium >140mmol/l (OR=1.72, 95% CI: 1.17–2.51, p-value 0.005), a higher office systolic BP (OR=1.03, 95% CI: 1.01–1.05, p-value 0.003) and a lower office diastolic BP (OR=0.97, 95% CI: 0.95–0.99, p-value 0.03). Treatment allocation did not change dipping status at 6 months (McNemar's χ2 0.71, p-value 0.40).
Conclusion
There was a high prevalence of non-dipping among Black Africans with uncontrolled hypertension. ABPM should be considered more routinely in Black Africans with uncontrolled hypertension, if resources permit, to help personalise therapy. Further research is needed to understand the mechanisms and causes of non-dipping pattern and if targeting night-time BP improves clinical outcomes.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Fogarty International Center and the National Institutes of Health of the United States of America Figure 1
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Affiliation(s)
| | - D B Ojji
- University of Abuja Teaching Hospital, Abuja, Nigeria
| | - B Rayner
- University of Cape Town, Division of Nephrology and Hypertension, Department of Medicine, Faculty of Clinical Sciences,, Cape Town, South Africa
| | - E Ogola
- University of Nairobi, Department of Clinical Medicine and Therapeutics, Nairobi, Kenya
| | - A Damasceno
- Eduardo Mondlane University, Maputo, Mozambique
| | - J Erika
- University of Cape Town, Division of Nephrology and Hypertension, Department of Medicine, Faculty of Clinical Sciences,, Cape Town, South Africa
| | - A Dzudie
- University Hospital of Douala, Douala, Cameroon
| | - O Ogah
- Ibadan University College Hospital, Cardiology Unit, Department of Medicine, Ibadan, Nigeria
| | - N Poulter
- Imperial College London, Imperial Clinical Trials Unit, School of Public Health, London, United Kingdom
| | - M U Sani
- Aminu Kano Teaching Hospital, Kano, Nigeria
| | - F Barasa
- Moi Teaching and referral Hospital, Eldoret, Kenya
| | - G Shedul
- University of Abuja Teaching Hospital, Abuja, Nigeria
| | - J Mukisa
- Makerere University College of Health Sciences, Department of Medicine, MakNCD D43 project, Kampala, Uganda
| | - D Mukunya
- Makerere University College of Health Sciences, Department of Medicine, MakNCD D43 project, Kampala, Uganda
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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: 938] [Impact Index Per Article: 312.7] [Reference Citation Analysis] [What about the content of this article? (0)] [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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Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wambiya EOA, Bebakar WMW, Mohamud WNW, de Souza Wanderley Júnior R, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Weghuber D, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu LJ, Wu S, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Md Yusof S, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Ko Zaw K, Zdrojewski T, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Cisneros JZ, Zuziak M, Ezzati M, Filippi S. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. eLife 2021; 10:e60060. [PMID: 33685583 PMCID: PMC7943191 DOI: 10.7554/elife.60060] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nayu Ikeda
- National Institutes of Biomedical Innovation, Health and Nutrition
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- Capital Medical University Beijing An Zhen Hospital
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- University of Copenhagen
- Copenhagen University Hospital
| | | | | | | | | | | | | | - Ali Ahmadi
- Shahrekord University of Medical Sciences
| | | | | | | | | | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics
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- World Health Organization Regional Office for the Eastern Mediterranean
| | | | - Parisa Amiri
- Research Center for Social Determinants of Health
| | | | | | | | | | | | | | | | | | - Joana Araújo
- Institute of Public Health of the University of Porto
| | | | | | | | | | | | | | | | | | | | | | | | - Shina Avi
- Tel-Aviv University
- Hebrew University of Jerusalem
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- Baqai Institute of Diabetology and Endocrinology
| | | | | | | | | | | | | | | | | | | | | | | | - Judith Benedics
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | - Hongsheng Bi
- Shandong University of Traditional Chinese Medicine
| | - Yufang Bi
- Shanghai Jiao-Tong University School of Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - João Breda
- World Health Organization Regional Office for Europe
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- Council for Agricultural Research and Economics
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- The Gertner Institute for Epidemiology and Health Policy Research
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- Canadian Fitness and Lifestyle Research Institute
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- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | - Luc Dauchet
- University of Lille
- Lille University Hospital
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- Beijing Center for Disease Prevention and Control
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- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
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- Swiss Tropical and Public Health Institute
- University of Basel
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- World Health Organization Regional Office for the Eastern Mediterranean
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- Victor Babes University of Medicine and Pharmacy Timisoara
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- Institut National de la Santé et de la Recherche Médicale
- Paris University
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- Capital Medical University Beijing Tongren Hospital
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- Eternal Heart Care Centre and Research Institute
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- Beijing Institute of Ophthalmology
| | | | | | | | | | | | | | - Yuan He
- National Research Institute for Health and Family Planning
| | - Yuna He
- Chinese Center for Disease Control and Prevention
| | | | | | | | | | | | - Ana Henriques
- Institute of Public Health of the University of Porto
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- Institute of Molecular and Clinical Ophthalmology Basel
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- French National Research Institute for Sustainable Development
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- Johns Hopkins Bloomberg School of Public Health
| | | | | | | | | | | | | | | | | | - Roya Kelishadi
- Research Institute for Primordial Prevention of Non-communicable Disease
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- PASs Hirszfeld Institute of Immunology and Experimental Therapy
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- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
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- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
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- National Research Institute for Health and Family Planning
| | | | | | | | | | - Stefania Maggi
- Institute of Neuroscience of the National Research Council
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- French National Research Institute for Sustainable Development
| | | | | | - Päivi Mäki
- Finnish Institute for Health and Welfare
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- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
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- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
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- University of Strasbourg
- Strasbourg University Hospital
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- Instituto Conmemorativo Gorgas de Estudios de la Salud
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- Banska Bystrica Regional Authority of Public Health
| | | | | | | | | | | | | | | | | | | | - Keiu Nelis
- National Institute for Health Development
| | - Liis Nelis
- National Institute for Health Development
| | | | | | | | | | | | | | | | - Yury P Nikitin
- SB RAS Federal Research Center Institute of Cytology and Genetics
| | - Guang Ning
- Shanghai Jiao-Tong University School of Medicine
| | | | | | - Marianna Noale
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | | | | | | | | | | | - Eha Nurk
- National Institute for Health Development
| | | | | | | | | | | | | | - Kyungwon Oh
- Korea Centers for Disease Control and Prevention
| | | | - Claes Ohlsson
- University of Gothenburg
- Sahlgrenska University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Domenico Palli
- Institute for Cancer Research, Prevention and Clinical Network
| | | | | | | | | | | | - Francesco Panza
- IRCCS Ente Ospedaliero Specializzato in Gastroenterologia S. de Bellis
| | | | | | - Suyeon Park
- Korea Centers for Disease Control and Prevention
| | | | | | - Ionela M Pascanu
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology - BIPS
| | | | | | | | | | | | | | | | | | | | | | - Raluca M Pop
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | - Miquel Porta
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Puiu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | - Manu Raj
- Amrita Institute of Medical Sciences
| | | | | | - Ivo Rakovac
- World Health Organization Regional Office for Europe
| | | | | | | | | | - Rafel Ramos
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ana Rito
- National Institute of Health Doutor Ricardo Jorge
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Paola Russo
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | - Nader Saki
- Ahvaz Jundishapur University of Medical Sciences
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Savvas Savva
- Research and Education Institute of Child Health
| | - Mathilde Savy
- French National Research Institute for Sustainable Development
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Aletta E Schutte
- University of New South Wales
- The George Institute for Global Health
| | | | | | | | - Abhijit Sen
- Center for Oral Health Services and Research Mid-Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alfonso Siani
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | | | | | | | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine
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- Institute of Public Health
- Ss. Cyril and Methodius University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health
| | | | | | | | | | | | | | | | | | | | | | | | | | - Lucjan Szponar
- National Institute of Public Health – National Institute of Hygiene
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pierre Traissac
- French National Research Institute for Sustainable Development
| | | | | | | | - Oanh TH Trinh
- University of Medicine and Pharmacy at Ho Chi Minh City
| | | | | | | | | | | | | | | | | | | | | | - Gilad Twig
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | - Eunice Ugel
- Universidad Centro-Occidental Lisandro Alvarado
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anette Varbo
- Copenhagen University Hospital
- University of Copenhagen
| | | | | | | | - Tomas Vega
- Consejería de Sanidad Junta de Castilla y León
| | | | | | | | | | | | | | | | - Lucie Viet
- National Institute for Public Health and the Environment
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ningli Wang
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | - Adelheid Weber
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bogdan Wojtyniak
- National Institute of Public Health - National Institute of Hygiene
| | | | | | | | | | - Jean Woo
- The Chinese University of Hong Kong
| | | | | | - Jianfeng Wu
- Shandong University of Traditional Chinese Medicine
| | | | | | - Haiquan Xu
- Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs
| | - Liang Xu
- Beijing Institute of Ophthalmology
| | | | | | - Weili Yan
- Children's Hospital of Fudan University
| | | | | | - Yang Yang
- Shanghai Educational Development Co. Ltd
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yi Zeng
- Peking University
- Duke University
| | | | | | - Dong Zhao
- Capital Medical University Beijing An Zhen Hospital
| | | | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention
| | | | | | | | - Maigeng Zhou
- Chinese Center for Disease Control and Prevention
| | - Dan Zhu
- Inner Mongolia Medical University
| | - Marie Zins
- Institut National de la Santé et de la Recherche Médicale
- Paris University
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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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A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farrugia Sant'Angelo V, Farzadfar F, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferrer E, Ferrieres J, Figueiró TH, Fijalkowska A, Fink G, Fischer K, Föger B, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Franco OH, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujiati II, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Gafencu M, Galbarczyk A, Galenkamp H, Galeone D, Galfo M, Galvano F, Gao J, Garcia-de-la-Hera M, García-Solano M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gaya ACA, Gaya AR, Gazzinelli A, Gehring U, Geiger H, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Godos J, Gogen S, Goldsmith RA, Goltzman D, Gómez SF, Gomula A, Goncalves Cordeiro da Silva B, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Leon M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graça AP, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøholt EK, Grøntved A, Grosso G, Gruden G, Gu D, Gualdi-Russo E, Guallar-Castillón P, Gualtieri A, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Guo XH, Guo Y, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutiérrez-González E, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Hadjigeorgiou CA, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hari Kumar R, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, He Y, Heidinger-Felso R, Heinen M, Hejgaard T, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herrala S, Herrera VM, Herter-Aeberli I, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Holden Bergh I, Holdsworth M, Homayounfar R, Homs C, 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, Husseini A, Huu CN, Huybrechts I, Hwalla N, Hyska J, Iacoviello L, Ibarluzea JM, Ibrahim MM, Ibrahim Wong N, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic 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, Jovic DP, Józwiak JJ, Juolevi A, Jurak G, Jurca Simina I, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kanala KR, Kannan S, Kapantais E, Karki KB, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Kengne AP, 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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: 42.8] [Reference Citation Analysis] [What about the content of this article? (0)] [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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Taddei C, Zhou B, Bixby H, Carrillo-Larco RM, Danaei G, Jackson RT, Farzadfar F, Sophiea MK, Di Cesare M, Iurilli MLC, Martinez AR, Asghari G, Dhana K, Gulayin P, Kakarmath S, Santero M, Voortman T, Riley LM, Cowan MJ, Savin S, Bennett JE, Stevens GA, Paciorek CJ, Aekplakorn W, Cifkova R, Giampaoli S, Kengne AP, Khang YH, Kuulasmaa K, Laxmaiah A, Margozzini P, Mathur P, Nordestgaard BG, Zhao D, Aadahl M, Abarca-Gómez L, Rahim HA, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahluwalia TS, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Ajlouni K, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Aly E, Amarapurkar DN, Amouyel P, Andersen LB, Anderssen SA, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assunção MCF, Auvinen J, Avdicová M, Azevedo A, Azizi F, Azmin M, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Belavendra A, Ben Romdhane H, Benet M, Benn M, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhargava SK, Bi Y, Bienek A, Bikbov M, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Boehm BO, Boggia JG, Boissonnet CP, Bonaccio M, Bongard V, Borchini R, Borghs H, Bovet P, Brajkovich I, Breckenkamp J, Brenner H, Brewster LM, Bruno G, Bugge A, Busch MA, de León AC, Cacciottolo J, Can G, Cândido APC, Capanzana MV, Capuano E, Capuano V, Cardoso VC, Carvalho J, Casanueva FF, Censi L, Chadjigeorgiou CA, Chamukuttan S, Chaturvedi N, Chen CJ, Chen F, Chen S, Cheng CY, Cheraghian B, Chetrit A, Chiou ST, Chirlaque MD, Cho B, Cho Y, Chudek J, Claessens F, Clarke J, Clays E, Concin H, Confortin SC, Cooper C, Costanzo S, Cottel D, Cowell C, Crujeiras AB, Csilla S, Cui L, Cureau FV, D’Arrigo G, d’Orsi E, Dallongeville J, Damasceno A, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Smedt D, Deepa M, Deev AD, Dehghan A, Delisle H, Dennison E, Deschamps V, Dhimal M, Di Castelnuovo AF, Dika Z, Djalalinia S, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dragano N, Drygas W, Du Y, Duante CA, Duda RB, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, 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, Fall CH, Faramarzi E, Farjam M, Fattahi MR, Felix-Redondo FJ, Ferguson TS, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Franco OH, Frontera G, Fujita Y, Fumihiko M, Furusawa T, Gaciong Z, Galvano F, Gao J, Garcia-de-la-Hera M, Garnett SP, Gaspoz JM, Gasull M, Gazzinelli A, Geleijnse JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Goltzman D, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graff-Iversen S, Grafnetter D, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Gu D, Guallar-Castillón P, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Gunnlaugsdottir J, Gupta R, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Hambleton IR, Hamzeh B, Hantunen S, Kumar RH, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, Hendriks ME, Henriques A, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Homayounfar R, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Huerta JM, Huhtaniemi IT, Huisman M, Hunsberger ML, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Wong NI, Iglesia I, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, al-Safi Ismail A, Iwasaki M, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jensen GB, Jeong SL, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Józwiak J, Juolevi A, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kamstrup PR, Karki KB, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Keinänen-Kiukaanniemi S, Kelishadi R, Keramati M, Kerimkulova A, Kersting M, Khader YS, Khalili D, Khateeb M, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim HC, Kim J, Kim YY, Klumbiene J, Knoflach M, Ko S, Kohler HP, Kohler IV, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kujala UM, Kurjata P, Kyobutungi C, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou CP, Lanska V, Lappas G, Larijani B, Latt TS, Laugsand LE, Lazo-Porras M, Lee J, Lee J, Lehmann N, Lehtimäki T, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lin YT, Lind L, Linneberg A, Lissner L, Liu J, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Ma G, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Makdisse M, Malekzadeh F, Malekzadeh R, Rao KM, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marques-Vidal P, Martorell R, Mascarenhas LP, Mathiesen EB, Matsha TE, Mavrogianni C, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Menezes AMB, Menon GR, Merat S, Mereke A, Meshram II, Metcalf P, Meyer HE, Mi J, Michels N, Miller JC, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mirrakhimov E, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Yusoff MFM, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Moosazadeh M, Morejon A, Moreno LA, Morgan K, Morin SN, Moschonis G, Mossakowska M, Mostafa A, Mota J, Motlagh ME, Motta J, Msyamboza KP, Muiesan ML, Müller-Nurasyid M, Mursu J, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nauck M, Neal WA, Nejatizadeh A, Nenko I, Nervi F, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Nihal T, Niiranen TJ, Ning G, Ninomiya T, Noale M, Noboa OA, Noto D, Nsour MA, Nuhoğlu I, O’Neill TW, O’Reilly D, Ochoa-Avilés AM, Oh K, Ohtsuka R, Olafsson Ö, Olié V, Oliveira IO, Omar MA, Onat A, Ong SK, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Owusu-Dabo E, Paccaud FM, Pahomova E, Pajak A, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Parnell WR, Patel ND, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peters A, Petersmann A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pilav A, Pilotto L, Piwonska A, Pizarro AN, Plans-Rubió P, Plata S, Pohlabeln H, Porta M, Portegies MLP, Poudyal A, Pourfarzi F, Poustchi H, Pradeepa R, Price JF, Providencia R, Puder JJ, Puhakka SE, Punab M, Qorbani M, Bao TQ, Radisauskas R, Rahimikazerooni S, Raitakari O, Rao SR, Ramachandran A, Ramos E, Ramos R, Rampal L, Rampal S, Redon J, Reganit PFM, Revilla L, Rezaianzadeh A, Ribeiro R, Richter A, Rigo F, Rinke de Wit TF, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Sadjadi A, Safarpour AR, Safiri S, Saidi O, Saki N, Salanave B, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santaliestra-Pasías AM, Santos DA, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva SC, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Scheidt-Nave C, Schienkiewitz A, Schipf S, Schmidt CO, Schöttker B, Schramm S, Sebert S, Sein AA, Sen A, Sepanlou SG, Servais J, Shakeri R, Shalnova SA, Shamah-Levy T, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Skaaby T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Sørensen TIA, Jérome CS, Soumaré A, Sozmen K, Sparrenberger K, Staessen JA, Stathopoulou MG, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Suriyawongpaisal P, Sy RG, Sylva RC, Szklo M, Tai ES, Tamosiunas A, Tan EJ, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tell GS, Tello T, Thankappan KR, Thijs L, Thuesen BH, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Traissac P, Trinh OTH, Truthmann J, Tsugane S, Tulloch-Reid MK, Tuomainen TP, Tuomilehto J, Tybjaerg-Hansen A, Tzourio C, Ueda P, Ugel E, Ulmer H, Unal B, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varona-Pérez P, Vasan SK, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Venero-Fernández SJ, Veronesi G, Verschuren WMM, Victora CG, Vidiawati D, Viet L, Villalpando S, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Wagner A, Walton J, Bebakar WMW, Mohamud WNW, Wang MD, Wang N, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wedderkopp N, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Woodward M, Wu FC, Wu S, Xu H, Xu L, Yan W, Yang X, Yasuharu T, Ye X, Yeow TP, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zali MR, Zamani F, Zambon S, Zampelas A, Zaw KK, Zdrojewski T, Vrkic TZ, Zhang ZY, Zhao W, Zhen S, Zheng Y, Zholdin B, Zhussupov B, Zoghlami N, Cisneros JZ, Gregg EW, Ezzati M. Repositioning of the global epicentre of non-optimal cholesterol. Nature 2020; 582:73-77. [PMID: 32494083 PMCID: PMC7332422 DOI: 10.1038/s41586-020-2338-1] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 04/02/2020] [Indexed: 11/25/2022]
Abstract
High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
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Zhou B, Bentham J, Di Cesare M, Bixby H, Danaei G, Hajifathalian K, Taddei C, Carrillo-Larco RM, Djalalinia S, Khatibzadeh S, Lugero C, Peykari N, Zhang WZ, Bennett J, Bilano V, Stevens GA, Cowan MJ, Riley LM, Chen Z, Hambleton IR, Jackson RT, Kengne AP, Khang YH, Laxmaiah A, Liu J, Malekzadeh R, Neuhauser HK, Sorić M, Starc G, Sundström J, Woodward M, Ezzati M, Abarca-Gómez L, Abdeen ZA, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadvand A, Ahrens W, Ajlouni K, Akhtaeva N, Al-Raddadi R, Ali MM, Ali O, Alkerwi A, Aly E, Amarapurkar DN, Amouyel P, Amuzu A, Andersen LB, Anderssen SA, Ängquist LH, Anjana RM, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arlappa N, Arveiler D, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Avdicová M, Azevedo A, Azizi F, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MV, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Romdhane HB, Benet M, Benson LS, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bi Y, Bikbov M, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bongard V, Borchini R, Bovet P, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Bruno G, Bueno-de-Mesquita HB, Bugge A, Burns C, Bursztyn M, de León AC, Cacciottolo J, Cai H, Cameron C, Can G, Cândido APC, Capuano V, Cardoso VC, Carlsson AC, Carvalho MJ, Casanueva FF, Casas JP, Caserta CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Dekkaki IC, Chetrit A, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Cho Y, Christofaro DG, Chudek J, Cifkova R, Cinteza E, Claessens F, Clays E, Concin H, Cooper C, Cooper R, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crujeiras AB, Cruz JJ, D'Arrigo G, d'Orsi E, Dallongeville J, Damasceno A, Danaei G, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Smedt D, Deepa M, Dehghan A, Delisle H, Deschamps V, Dhana K, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Djalalinia S, Do HTP, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Doua K, Drygas W, Dulskiene V, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eggertsen R, Ekelund U, El Ati J, Elliott P, Elosua R, Erasmus RT, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Evans A, Faeh D, Fall CH, Farzadfar F, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrari M, Ferreccio C, Ferrieres J, Finn JD, Fischer K, Föger B, Foo LH, Forslund AS, Forsner M, Fouad HM, Francis DK, do Carmo Franco M, Franco OH, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Furusawa T, Gaciong Z, Galvano F, Garcia-de-la-Hera M, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gates L, Geleijnse JM, Ghasemian A, Ghimire A, Giampaoli S, Gianfagna F, Gill TK, Giovannelli J, Goldsmith RA, Gonçalves H, Gonzalez-Gross M, González-Rivas JP, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Grujic V, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter M, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Hadaegh F, Halkjær J, Hambleton IR, Hardy R, Hari Kumar R, Hata J, Hayes AJ, He J, He Y, Elisabeth M, Henriques A, Cadena LH, Herrala S, Heshmat R, Hihtaniemi IT, Ho SY, Ho SC, Hobbs M, Hofman A, Dinc GH, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Than Htike MM, Hu Y, Huerta JM, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Wong NI, Ikeda N, Ikram MA, Irazola VE, Islam M, al-Safi Ismail A, Ivkovic V, Iwasaki M, Jackson RT, Jacobs JM, 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Yoshihara A, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zambon S, Zampelas A, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ. Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol 2018; 47:872-883i. [PMID: 29579276 PMCID: PMC6005056 DOI: 10.1093/ije/dyy016] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 01/16/2018] [Accepted: 01/24/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. METHODS We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. RESULTS In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. CONCLUSIONS Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.
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TT, Muc M, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Musil V, Nabipour I, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, Narake S, Nardone P, Navarrete-Muñoz EM, Neal WA, Nenko I, Neovius M, 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, O'Reilly D, Obreja G, Oda E, Oehlers G, Oh K, Ohara K, Olafsson Ö, Olinto MTA, Oliveira IO, Oltarzewski M, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz AP, Osler M, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Pajak 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, Peeters PH, Peixoto SV, Peltonen M, Pereira AC, Perez-Farinos N, Pérez CM, Peters 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, Prashant M, Price JF, Puder JJ, Pudule I, Puiu M, Punab M, Qasrawi RF, Qorbani M, Bao TQ, Radic I, Radisauskas R, Rahman M, Rahman M, Raitakari O, Raj M, Rao SR, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rascon-Pacheco RA, Redon J, Reganit PFM, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, de Wit TFR, Rito A, Ritti-Dias RM, Rivera JA, Robinson SM, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Ronkainen K, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruiz-Betancourt BS, Russo P, Rutkowski M, Sabanayagam C, Sachdev HS, Saidi O, Salanave B, Martinez ES, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Marina LS, Santos DA, Santos IS, Santos O, dos Santos RN, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva S, Savy M, Scazufca M, Rosario AS, Schargrodsky H, Schienkiewitz A, Schipf S, Schmidt CO, Schmidt IM, Schultsz C, Schutte AE, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Serra-Majem L, Shalnova SA, Sharma SK, Shaw JE, Shibuya K, Shin DW, Shin Y, Shiri R, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skovbjerg S, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith MC, Snijder MB, So HK, Sobngwi E, Söderberg S, Soekatri MYE, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Soric M, Jérome CS, Soumare A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Starc G, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stratton G, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Swinburn BA, Sy RG, Szponar L, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Tautu OF, Braunerová RT, Taylor A, Tchibindat F, Theobald H, Theodoridis X, Thijs L, Thuesen BH, 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, 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, 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, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Viikari-Juntura E, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen S, Vrijheid M, Wade AN, Wagner A, Waldhör T, Walton J, Bebakar WMW, Mohamud WNW, Wanderley RS, Wang MD, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Wedderkopp N, Weerasekera D, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong JYY, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang X, Yardim N, Ye X, Yiallouros PK, Yngve A, Yoshihara A, You QS, Younger-Coleman NO, Yusoff F, Yusoff MFM, Zaccagni L, Zafiropulos V, Zainuddin AA, Zambon S, Zampelas A, Zamrazilová H, Zdrojewski T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Cisneros JZ, Bentham J, Di Cesare M, Bilano V, Bixby H, Zhou B, Stevens GA, Riley LM, Taddei C, Hajifathalian K, Lu Y, Savin S, Cowan MJ, Paciorek CJ, Chirita-Emandi A, Hayes AJ, Katz J, Kelishadi R, Kengne AP, Khang YH, Laxmaiah A, Li Y, Ma J, Miranda JJ, Mostafa A, Neovius M, Padez C, Rampal L, Zhu A, Bennett JE, Danaei G, Bhutta ZA, Ezzati M. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 390:2627-2642. [PMID: 29029897 PMCID: PMC5735219 DOI: 10.1016/s0140-6736(17)32129-3] [Citation(s) in RCA: 3623] [Impact Index Per Article: 517.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 07/12/2017] [Accepted: 07/19/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. METHODS We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity). FINDINGS Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese. INTERPRETATION The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults. FUNDING Wellcome Trust, AstraZeneca Young Health Programme.
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Kengne AP, Bentham J, Zhou B, Peer N, Matsha TE, Bixby H, Di Cesare M, Hajifathalian K, Lu Y, Taddei C, Bovet P, Kyobutungi C, Agyemang C, Aounallah-Skhiri H, Assah FK, Barkat A, Romdhane HB, Chan Q, Chaturvedi N, Damasceno A, Delisle H, Delpeuch F, Doua K, Egbagbe EE, Ati JE, Elliott P, Engle-Stone R, Erasmus RT, Fouad HM, Gareta D, Gureje O, Hendriks ME, Houti L, Ibrahim MM, Kemper HCG, Killewo J, Kowlessur S, Kruger HS, Laamiri FZ, Laid Y, Levitt NS, Lunet N, Magliano DJ, Maire B, Martin-Prevel Y, Mediene-Benchekor S, Mohamed MK, Mondo CK, Monyeki KD, Mostafa A, Nankap M, Owusu-Dabo E, Rinke de Wit TF, Saidi O, Schultsz C, Schutte AE, Senbanjo IO, Shaw JE, Smeeth L, Sobngwi E, Jérome CS, Stronks K, Tanser F, Tchibindat F, Traissac P, Tshepo L, Tullu F, Ukoli FAM, Viswanathan B, Wade AN, Danaei G, Stevens GA, Riley LM, Ezzati M, Mbanya JCN. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. Int J Epidemiol 2017; 46:1421-1432. [PMID: 28582528 PMCID: PMC5837192 DOI: 10.1093/ije/dyx078] [Citation(s) in RCA: 155] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 04/09/2017] [Accepted: 04/18/2017] [Indexed: 12/12/2022] Open
Abstract
Background The 2016 Dar Es Salaam Call to Action on Diabetes and Other non-communicable diseases (NCDs) advocates national multi-sectoral NCD strategies and action plans based on available data and information from countries of sub-Saharan Africa and beyond. We estimated trends from 1980 to 2014 in age-standardized mean body mass index (BMI) and diabetes prevalence in these countries, in order to assess the co-progression and assist policy formulation. Methods We pooled data from African and worldwide population-based studies which measured height, weight and biomarkers to assess diabetes status in adults aged ≥ 18 years. A Bayesian hierarchical model was used to estimate trends by sex for 200 countries and territories including 53 countries across five African regions (central, eastern, northern, southern and western), in mean BMI and diabetes prevalence (defined as either fasting plasma glucose of ≥ 7.0 mmol/l, history of diabetes diagnosis, or use of insulin or oral glucose control agents). Results African data came from 245 population-based surveys (1.2 million participants) for BMI and 76 surveys (182 000 participants) for diabetes prevalence estimates. Countries with the highest number of data sources for BMI were South Africa (n = 17), Nigeria (n = 15) and Egypt (n = 13); and for diabetes estimates, Tanzania (n = 8), Tunisia (n = 7), and Cameroon, Egypt and South Africa (all n = 6). The age-standardized mean BMI increased from 21.0 kg/m2 (95% credible interval: 20.3-21.7) to 23.0 kg/m2 (22.7-23.3) in men, and from 21.9 kg/m2 (21.3-22.5) to 24.9 kg/m2 (24.6-25.1) in women. The age-standardized prevalence of diabetes increased from 3.4% (1.5-6.3) to 8.5% (6.5-10.8) in men, and from 4.1% (2.0-7.5) to 8.9% (6.9-11.2) in women. Estimates in northern and southern regions were mostly higher than the global average; those in central, eastern and western regions were lower than global averages. A positive association (correlation coefficient ≃ 0.9) was observed between mean BMI and diabetes prevalence in both sexes in 1980 and 2014. Conclusions These estimates, based on limited data sources, confirm the rapidly increasing burden of diabetes in Africa. This rise is being driven, at least in part, by increasing adiposity, with regional variations in observed trends. African countries' efforts to prevent and control diabetes and obesity should integrate the setting up of reliable monitoring systems, consistent with the World Health Organization's Global Monitoring System Framework.
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Zhang W, Okello E, Nyakoojo W, Lwabi P, Mondo CK. Proportion of patients in the Uganda rheumatic heart disease registry with advanced disease requiring urgent surgical interventions. Afr Health Sci 2015; 15:1182-8. [PMID: 26958019 DOI: 10.4314/ahs.v15i4.17] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
INTRODUCTION Since the establishment of the Uganda Rheumatic Heart Registry, over 900 patients have been enrolled. We sought to stratify the patients in the registry according to disease severity and optimal management strategy. METHODS We reviewed data of 618 patients who had enrolled in the Registry between March 2010 and February 2013. The 67 patients who had died were excluded leaving 551 patients who were recruited. The optimum management strategy was determined according to the 2012 European Society of Cardiology guidelines on the management of valvular heart disease. RESULTS Out of the 551 patient's records evaluated, 398 (72.3%) required invasive intervention, with 332(60.3%) patients requiring surgery and 66 (12.0%) requiring percutaneous mitral commissurotomy (PMC). This leaves only 27.7% of patients who required only medical management. Currently, majority of the patients (498, 90.4%) in the registry are on medical treatment. Of the 60.3% requiring surgical intervention, only 8.0% (44 patients) underwent valvular surgery and 5(1.0%) patients of the 66 (12.0%) underwent PMC successfully. CONCLUSION There is a high proportion of patients with severe disease that require surgical treatment yet they cannot access this therapy due to absence of local expertise.
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Schwartz JI, Dunkle A, Akiteng AR, Birabwa-Male D, Kagimu R, Mondo CK, Mutungi G, Rabin TL, Skonieczny M, Sykes J, Mayanja-Kizza H. Towards reframing health service delivery in Uganda: the Uganda Initiative for Integrated Management of Non-Communicable Diseases. Glob Health Action 2015; 8:26537. [PMID: 25563451 PMCID: PMC4292588 DOI: 10.3402/gha.v8.26537] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Revised: 12/01/2014] [Accepted: 12/02/2014] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The burden of non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) is accelerating. Given that the capacity of health systems in LMICs is already strained by the weight of communicable diseases, these countries find themselves facing a double burden of disease. NCDs contribute significantly to morbidity and mortality, thereby playing a major role in the cycle of poverty, and impeding development. METHODS Integrated approaches to health service delivery and healthcare worker (HCW) training will be necessary in order to successfully combat the great challenge posed by NCDs. RESULTS In 2013, we formed the Uganda Initiative for Integrated Management of NCDs (UINCD), a multidisciplinary research collaboration that aims to present a systems approach to integrated management of chronic disease prevention, care, and the training of HCWs. DISCUSSION Through broad-based stakeholder engagement, catalytic partnerships, and a collective vision, UINCD is working to reframe integrated health service delivery in Uganda.
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Affiliation(s)
- Jeremy I Schwartz
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA;
| | - Ashley Dunkle
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Global Health Corps, New York, NY, USA
| | - Ann R Akiteng
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Department of Community Health, Government of Uganda Ministry of Health, Kampala, Uganda
| | - Doreen Birabwa-Male
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Mulago National Referral Hospital, Kampala, Uganda
| | - Richard Kagimu
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Global Health Corps, New York, NY, USA
| | - Charles K Mondo
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Mulago National Referral Hospital, Kampala, Uganda
| | - Gerald Mutungi
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Department of Community Health, Government of Uganda Ministry of Health, Kampala, Uganda
| | - Tracy L Rabin
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | | | - Jamila Sykes
- Yale Global Health Leadership Institute, New Haven, CT, USA
| | - Harriet Mayanja-Kizza
- Uganda Initiative for Integrated Management of Non-Communicable Diseases, Kampala, Uganda; Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
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Okello E, Beaton A, Mondo CK, Kruszka P, Kiwanuka N, Odoi-Adome R, Freers J. Rheumatic heart disease in Uganda: the association between MHC class II HLA DR alleles and disease: a case control study. BMC Cardiovasc Disord 2014; 14:28. [PMID: 24581333 PMCID: PMC3943278 DOI: 10.1186/1471-2261-14-28] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2014] [Accepted: 02/26/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Rheumatic heart disease (RHD), the only long term consequence of acute rheumatic fever, remains a leading cause of morbidity and mortality among young adults in Uganda. An inherited susceptibility to acute rheumatic fever centers around the major histocompatibility class II human leucocyte antigens. However, there is paucity of data from sub-Saharan Africa. This study compares the frequency of HLA class II DR alleles between RHD cases and normal controls in Uganda. METHODS One hundred ninety-nine participants including 96 established RHD cases aged 5-60 years and 103 age and sex matched normal controls were recruited for participation. DNA was manually extracted from buffy coat samples and HLA analysis was performed. HLA-DR allelic frequency comparison between cases and controls were estimated using conditional logistic regression with 95% confidence intervals. P -values were corrected for multiple hypothesis testing. RESULTS 199 participants (103 female, 51.8%) completed the study. The mean (SD) age in years for cases and controls were 29.6 (10.2) and 29(18), respectively. After conditional logistic regression and multiple hypothesis testing, HLA-DR1was associated with a decreased risk of RHD (OR = 0.42, CI 0.21-085, P = 0.01, Corrected P value (PC) = 0.09,) while HLA-DR11 was associated with increased risk of RHD (OR = 3.31, CI 1.57-6.97, P = <0.001, Pc < 0.001). No other significant associations were found. CONCLUSION In this first study of HLA genetic susceptibility to RHD in Uganda, HLA- DR1 was more common in normal controls while HLA- DR11 was more common among RHD cases suggesting a disease susceptibility association. In future studies, high resolution HLA analysis and genome wide studies should be carried out to confirm this pattern.
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Affiliation(s)
- Emmy Okello
- Department of Medicine, Makerere University/Uganda Heart Institute, Ward 1C, Mulago Hospital Complex,, PO Box 7051, Kampala, Uganda.
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Okello E, Wanzhu Z, Musoke C, Twalib A, Kakande B, Lwabi P, Wilson NB, Mondo CK, Odoi-Adome R, Freers J. Cardiovascular complications in newly diagnosed rheumatic heart disease patients at Mulago Hospital, Uganda. Cardiovasc J Afr 2014; 24:80-5. [PMID: 23736132 PMCID: PMC3721959 DOI: 10.5830/cvja-2013-004] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2012] [Accepted: 01/18/2013] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Complications of rheumatic heart disease are associated with severe morbidity and mortality in developing countries where the disease prevalence remains high. Due to lack of screening services, many patients present late, with severe valve disease. In Uganda, the disease and its complications are still not well studied. OBJECTIVE To profile and describe cardiovascular complications in newly diagnosed rheumatic heart disease patients attending the Mulago National Referral Hospital in Uganda. METHODS This was a cross-sectional study where consecutive, newly diagnosed rheumatic heart disease patients were assessed and followed up for complications, such as heart failure, pulmonary hypertension, atrial fibrillation, recurrence of acute rheumatic fever, and stroke. RESULTS A total of 309 (115 males and 196 females) definite rheumatic heart disease patients aged 15-60 years were enrolled in the study and analysed. Complications occurred in 49% (152/309) of the newly diagnosed rheumatic heart disease cases, with heart failure (46.9%) the most common complication, followed by pulmonary arterial hypertension (32.7%), atrial fibrillation (13.9%), recurrence of acute rheumatic fever (11.4%), infective endocarditis (4.5%) and stroke (1.3%). Atrial fibrillation and acute rheumatic fever were the most common complications associated with heart failure. CONCLUSION In this study we found that about 50% of newly diagnosed rheumatic heart disease patients in Uganda presented with complications. Heart failure and pulmonary arterial hypertension were the most commonly observed complications.
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Affiliation(s)
- Emmy Okello
- Department of Medicine, Division of Cardiology, College of Health Sciences, Makerere University, Uganda
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Okello E, Kakande B, Sebatta E, Kayima J, Kuteesa M, Mutatina B, Nyakoojo W, Lwabi P, Mondo CK, Odoi-Adome R, Juergen F. Socioeconomic and environmental risk factors among rheumatic heart disease patients in Uganda. PLoS One 2012; 7:e43917. [PMID: 22952810 PMCID: PMC3428272 DOI: 10.1371/journal.pone.0043917] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2012] [Accepted: 07/27/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Although low socioeconomic status, and environmental factors are known risk factors for rheumatic heart disease in other societies, risk factors for rheumatic heart disease remain less well described in Uganda. AIMS AND OBJECTIVE The objective of this study was to investigate the role of socio-economic and environmental factors in the pathogenesis of rheumatic heart disease in Ugandan patients. METHODS This was a case control study in which rheumatic heart disease cases and normal controls aged 5-60 years were recruited and investigated for socioeconomic and environmental risk factors such as income status, employment status, distance from the nearest health centre, number of people per house and space area per person. RESULTS 486 participants (243 cases and 243 controls) took part in the study. Average age was 32.37+/-14.6 years for cases and 35.75+/-12.6 years for controls. At univariate level, Cases tended to be more overcrowded than controls; 8.0+/-3.0 versus 6.0+/-3.0 persons per house. Controls were better spaced at 25.2 square feet versus 16.9 for cases. More controls than cases were employed; 45.3% versus 21.1%. Controls lived closer to health centers than the cases; 4.8+/-3.8 versus 3.3+/-12.9 kilometers. At multivariate level, the odds of rheumatic heart disease was 1.7 times higher for unemployment status (OR = 1.7, 95% CI = 1.05-8.19) and 1.3 times higher for overcrowding (OR = 1.35, 95% CI = 1.1-1.56). There was interaction between overcrowding and longer distance from the nearest health centre (OR = 1.20, 95% CI = 1.05-1.42). CONCLUSION The major findings of this study were that there was a trend towards increased risk of rheumatic heart disease in association with overcrowding and unemployment. There was interaction between overcrowding and distance from the nearest health center, suggesting that the effect of overcrowding on the risk of acquiring rheumatic heart disease increases with every kilometer increase from the nearest health center.
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Affiliation(s)
- Emmy Okello
- Division of Cardiology, Department of Medicine, Makerere University, Kampala, Uganda.
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Mondo CK, Zhang Y, de Macedo Possamai V, Miao Y, Schyvens CG, McKenzie KUS, Hu L, Guo Z, Whitworth JA. N-Acetylcysteine Antagonizes the Development But Does Not Reverse ACTH-Induced Hypertension in the Rat. Clin Exp Hypertens 2009; 28:73-84. [PMID: 16546835 DOI: 10.1080/10641960500468219] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
We investigated the effect of antioxidant N-acetylcysteine (NAC) on adrenocorticotropic hormone (ACTH)-hypertension. Male Sprague-Dawley rats received NAC (10 mg/L) or water 4 days before ACTH/saline treatment for 13 days (prevention study). In a reversal study, NAC commenced on day 8 of ACTH/saline treatment and continued for 5 days. ACTH increased systolic blood pressure (SBP) in water drinking rats (111 +/- 1 to 131 +/- 3 mmHg, p < 0.001). In the prevention study, NAC + ACTH increased SBP (108 +/- 2 to 120 +/- 2 mmHg, p < 0.001) but less than ACTH alone (p' < 0.05). In the reversal study, NAC had no significant effect (132 +/- 4 to 124 +/- 3 mmHg, ns). Thus, NAC partially prevented but did not reverse ACTH-induced hypertension.
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Affiliation(s)
- Charles K Mondo
- Institute of Cardiology, 2nd Hospital, Tianjin Medical University, Tianjin, PR China
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Abstract
1. Dexamethasone (Dex)-induced hypertension is characterized by endothelial dysfunction associated with nitric oxide (NO) deficiency and increased superoxide (O2-) production. Atorvastatin (Ato) possesses pleiotropic properties that have been reported to improve endothelial function through increased availability of NO and reduced O2- production in various forms of hypertension. In the present study, we investigated whether 50 mg/kg per day, p.o., Ato could prevent endothelial NO synthase (eNOS) downregulation and the increase in O2- in Sprague-Dawley (SD) rats, thereby reducing blood pressure. 2. Male SD rats (n = 30) were treated with Ato (50 mg/kg per day in drinking water) or tap water for 15 days. Dexamethasone (10 microg/kg per day, s.c.) or saline was started after 4 days in Ato-treated and non-treated rats and continued for 11-13 days. Systolic blood pressure (SBP) was measured on alternate days using the tail-cuff method. Endothelial function was assessed by acetylcholine-induced vasorelaxation and phenylephrine-induced vasoconstriction in aortic segments. Vascular eNOS mRNA was assessed by semi-quantitative reverse transcription-polymerase chain reaction. 3. In rats treated with Dex alone, SBP was increased from 109 +/- 2 to 133 +/- 2 mmHg on Days 4 and Day 14, respectively (P < 0.001). In the Ato + Dex group, SBP was increased from 113 +/- 2 to 119 +/- 2 mmHg on Days 4 to 14, respectively (P < 0.001), but was significantly lower than SBP in the group treated with Dex alone (P < 0.05). Endothelial-dependent relaxation and eNOS mRNA expression were greater in the Dex + Ato group than in the Dex only group (P < 0.05 and P < 0.0001, respectively). Aortic superoxide production was lower in the Dex + Ato group compared with the group treated with Dex alone (P < 0.0001). 4. Treatment with Ato improved endothelial function, reduced superoxide production and reduced SBP in Dex-treated SD rats.
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Affiliation(s)
- Charles K Mondo
- Institute of Cardiology, 2nd Hospital, Tianjin Medical University, Tianjin, China.
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Mondo CK, Yang WS, Su JZ, Huang TG. ATORVASTATIN PREVENTED AND PARTIALLY REVERSED ADRENOCORTICOTROPIC HORMONE-INDUCED HYPERTENSION IN THE RAT. Clin Exp Pharmacol Physiol 2006; 33:369-73. [PMID: 16620303 DOI: 10.1111/j.1440-1681.2006.04377.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
1. Adrenocorticotropic hormone (ACTH)-induced hypertension is associated with nitric oxide (NO) deficiency and increased oxidative stress. Atorvastatin (Ato), an HMG-Co-enzyme-A reductase inhibitor has been reported to enhance availability of NO. The aim of the study was to assess whether pretreatment with Ato would prevent the development of ACTH-induced hypertension and whether established ACTH-induced hypertension could be reversed with subsequent administration of Ato in rats. 2. Male Sprague-Dawley rats (n = 60) were treated with Ato (30 mg/kg per day in drinking water) or tap water for 15 days. ACTH (0.2 mg/kg per day s.c) or saline was started 4 days after Ato treatment or non-treated rats and continued for 11-13 days (prevention study). In the reversal study, Ato was given on day 8 of ACTH/Saline treatment for 5 days. Systolic blood pressure (SBP) was measured on alternate days using the tail cuff method. 3. Adrenocorticotropic hormone treatment increased SBP (110 +/- 2-136 +/- 2 mmHg, P < 0.001) and aortic superoxide production (P < 0.001). Ato alone did not alter SBP, but Ato pretreatment prevented ACTH-induced hypertension compared with that in rats treated with ACTH alone (118 +/- 2 and 136 +/- 2 mmHg, respectively, P cent < 0.01). Ato partially reversed ACTH-induced hypertension (124 +/- 3 and 136 +/- 2 mmHg, respectively, P cent < 0.05). Plasma nitrate/nitrite (NOx) was decreased in ACTH-treated rats compared with saline treated rats (6.6 +/- 0.4 saline and 4.5 +/- 0.5 micromol/L ACTH, P < 0.001). Atorvastatin affected neither plasma NOx nor aortic superoxide production. 4. Atorvastatin prevented and partially reversed ACTH-induced hypertension in the rat.
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Affiliation(s)
- Charles K Mondo
- Institute of Cardiology, 2nd Hospital, Tianjin Medical University, Tianjin city, PR China.
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