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Browsing by Author "McKee, M. (7202304775)"

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    Publication
    A European evidence-based guideline for the prevention of type 2 diabetes
    (2010)
    Paulweber, B. (36519500600)
    ;
    Valensi, P. (7103187761)
    ;
    Lindström, J. (55646081100)
    ;
    Lalic, N.M. (13702597500)
    ;
    Greaves, C.J. (7005942816)
    ;
    McKee, M. (7202304775)
    ;
    Kissimova-Skarbek, K. (6508376962)
    ;
    Liatis, S. (6602572999)
    ;
    Cosson, E. (6701348575)
    ;
    Szendroedi, J. (6507093621)
    ;
    Sheppard, K.E. (23013221900)
    ;
    Charlesworth, K. (57193097004)
    ;
    Felton, A.-M. (6701433126)
    ;
    Hall, M. (57214475850)
    ;
    Rissanen, A. (36519545100)
    ;
    Tuomilehto, J. (36012823000)
    ;
    Schwarz, P.E. (55356146100)
    ;
    Roden, M. (56289245900)
    ;
    Paulweber, M. (56636735400)
    ;
    Stadlmayr, A. (6507391572)
    ;
    Kedenko, L. (35253673600)
    ;
    Katsilambros, N. (7007026645)
    ;
    Makrilakis, K. (6603246389)
    ;
    Kamenov, Z. (6603678114)
    ;
    Evans, P. (59796388600)
    ;
    Gilis-Januszewska, A. (7801318789)
    ;
    Lalic, K. (13702563300)
    ;
    Jotic, A. (59840631300)
    ;
    Djordevic, P. (36518488100)
    ;
    Dimitrijevic-Sreckovic, V. (6506375884)
    ;
    Hühmer, U. (25724379800)
    ;
    Kulzer, B. (6602515965)
    ;
    Puhl, S. (56974067600)
    ;
    Lee-Barkey, Y.H. (36518998500)
    ;
    Alkerwi, A. (57197724313)
    ;
    Abraham, C. (57197661321)
    ;
    Hardeman, W. (6603849969)
    ;
    Acosta, T. (36518089000)
    ;
    Adler, M. (57213509820)
    ;
    Barengo, N. (6602394675)
    ;
    Barengo, R. (36518110300)
    ;
    Boavida, J.M. (6602950777)
    ;
    Charlesworth, K. (58262841200)
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    Christov, V. (7004530241)
    ;
    Claussen, B. (58382550500)
    ;
    Cos, X. (36518397900)
    ;
    Deceukelier, S. (36518360000)
    ;
    Djordjevic, P. (57200124383)
    ;
    Evans, P. (55732332800)
    ;
    Fischer, M. (59838472700)
    ;
    Gabriel-Sanchez, R. (7103316027)
    ;
    Goldfracht, M. (6507968492)
    ;
    Gomez, J.L. (15047974500)
    ;
    Hall, M. (57197351174)
    ;
    Handke, U. (36518702900)
    ;
    Hauner, H. (55770537200)
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    Herbst, J. (55230674400)
    ;
    Hermanns, N. (6701769664)
    ;
    Herrebrugh, L. (36518612600)
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    Huber, C. (57213336191)
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    Huttunen, J. (7101758583)
    ;
    Kamenov, Z. (35799869900)
    ;
    Karadeniz, S. (36518958700)
    ;
    Khalangot, M. (23028222200)
    ;
    Köhler, D. (35076175100)
    ;
    Kopp, V. (57213281971)
    ;
    Kronsbein, P. (6506721698)
    ;
    Kyne-Grzebalski, D. (56632305700)
    ;
    Landgraf, R. (7102895952)
    ;
    McIntosh, C. (7103076842)
    ;
    Mesquita, A.C. (57198008266)
    ;
    Misina, D. (35269483400)
    ;
    Muylle, F. (56636530800)
    ;
    Neumann, A. (59606721600)
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    Paiva, A.C. (36519360600)
    ;
    Pajunen, P. (55963557800)
    ;
    Peltonen, M. (7004175068)
    ;
    Perrenoud, L. (57226211742)
    ;
    Pfeiffer, A. (22836540000)
    ;
    Pölönen, A. (36519533900)
    ;
    Raposo, F. (36519483800)
    ;
    Reinehr, T. (7003500204)
    ;
    Robinson, C. (14525720400)
    ;
    Rothe, U. (7003825375)
    ;
    Saaristo, T. (16679537200)
    ;
    Scholl, J. (57214610867)
    ;
    Spiers, S. (36519799800)
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    Stemper, T. (36519835600)
    ;
    Stratmann, B. (35235411000)
    ;
    Szybinski, Z. (7006059119)
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    Tankova, T. (8242458100)
    ;
    Telle-Hjellset, V. (57217955971)
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    Terry, G. (36519813900)
    ;
    Tolks, D. (36519979900)
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    Toti, F. (59846967100)
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    Tuomilehto, J. (57217725944)
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    Undeutsch, A. (36519884300)
    ;
    Valadas, C. (36519855100)
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    Velickiene, D. (36519866700)
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    Vermunt, P. (59744379600)
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    Weiss, R. (57225959558)
    ;
    Wens, J. (6602480876)
    ;
    Yilmaz, T. (7006525167)
    Background: The prevalence and socioeconomic burden of type 2 diabetes (T2DM) and associated co-morbidities are rising worldwide. Aims: This guideline provides evidence-based recommendations for preventing T2DM. Methods: A European multidisciplinary consortium systematically reviewed the evidence on the effectiveness of screening and interventions for T2DM prevention using SIGN criteria. Results: Obesity and sedentary lifestyle are the main modifiable risk factors. Age and ethnicity are non-modifiable risk factors. Case-finding should follow a step-wise procedure using risk questionnaires and oral glucose tolerance testing. Persons with impaired glucose tolerance and/or fasting glucose are at high-risk and should be prioritized for intensive intervention. Interventions supporting lifestyle changes delay the onset of T2DM in high-risk adults (number-needed-to-treat: 6.4 over 1.84.6 years). These should be supported by inter-sectoral strategies that create health promoting environments. Sustained body weight reduction by 5% lowers risk. Currently metformin, acarbose and orlistat can be considered as second-line prevention options. The population approach should use organized measures to raise awareness and change lifestyle with specific approaches for adolescents, minorities and disadvantaged people. Interventions promoting lifestyle changes are more effective if they target both diet and physical activity, mobilize social support, involve the planned use of established behaviour change techniques, and provide frequent contacts. Cost-effectiveness analysis should take a societal perspective. Conclusions: Prevention using lifestyle modifications in high-risk individuals is cost-effective and should be embedded in evaluated models of care. Effective prevention plans are predicated upon sustained government initiatives comprising advocacy, community support, fiscal and legislative changes, private sector engagement and continuous media communication. © Georg Thieme Verlag KG Stuttgart - New York.
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    Publication
    A European evidence-based guideline for the prevention of type 2 diabetes
    (2010)
    Paulweber, B. (36519500600)
    ;
    Valensi, P. (7103187761)
    ;
    Lindström, J. (55646081100)
    ;
    Lalic, N.M. (13702597500)
    ;
    Greaves, C.J. (7005942816)
    ;
    McKee, M. (7202304775)
    ;
    Kissimova-Skarbek, K. (6508376962)
    ;
    Liatis, S. (6602572999)
    ;
    Cosson, E. (6701348575)
    ;
    Szendroedi, J. (6507093621)
    ;
    Sheppard, K.E. (23013221900)
    ;
    Charlesworth, K. (57193097004)
    ;
    Felton, A.-M. (6701433126)
    ;
    Hall, M. (57214475850)
    ;
    Rissanen, A. (36519545100)
    ;
    Tuomilehto, J. (36012823000)
    ;
    Schwarz, P.E. (55356146100)
    ;
    Roden, M. (56289245900)
    ;
    Paulweber, M. (56636735400)
    ;
    Stadlmayr, A. (6507391572)
    ;
    Kedenko, L. (35253673600)
    ;
    Katsilambros, N. (7007026645)
    ;
    Makrilakis, K. (6603246389)
    ;
    Kamenov, Z. (6603678114)
    ;
    Evans, P. (59796388600)
    ;
    Gilis-Januszewska, A. (7801318789)
    ;
    Lalic, K. (13702563300)
    ;
    Jotic, A. (59840631300)
    ;
    Djordevic, P. (36518488100)
    ;
    Dimitrijevic-Sreckovic, V. (6506375884)
    ;
    Hühmer, U. (25724379800)
    ;
    Kulzer, B. (6602515965)
    ;
    Puhl, S. (56974067600)
    ;
    Lee-Barkey, Y.H. (36518998500)
    ;
    Alkerwi, A. (57197724313)
    ;
    Abraham, C. (57197661321)
    ;
    Hardeman, W. (6603849969)
    ;
    Acosta, T. (36518089000)
    ;
    Adler, M. (57213509820)
    ;
    Barengo, N. (6602394675)
    ;
    Barengo, R. (36518110300)
    ;
    Boavida, J.M. (6602950777)
    ;
    Charlesworth, K. (58262841200)
    ;
    Christov, V. (7004530241)
    ;
    Claussen, B. (58382550500)
    ;
    Cos, X. (36518397900)
    ;
    Deceukelier, S. (36518360000)
    ;
    Djordjevic, P. (57200124383)
    ;
    Evans, P. (55732332800)
    ;
    Fischer, M. (59838472700)
    ;
    Gabriel-Sanchez, R. (7103316027)
    ;
    Goldfracht, M. (6507968492)
    ;
    Gomez, J.L. (15047974500)
    ;
    Hall, M. (57197351174)
    ;
    Handke, U. (36518702900)
    ;
    Hauner, H. (55770537200)
    ;
    Herbst, J. (55230674400)
    ;
    Hermanns, N. (6701769664)
    ;
    Herrebrugh, L. (36518612600)
    ;
    Huber, C. (57213336191)
    ;
    Huttunen, J. (7101758583)
    ;
    Kamenov, Z. (35799869900)
    ;
    Karadeniz, S. (36518958700)
    ;
    Khalangot, M. (23028222200)
    ;
    Köhler, D. (35076175100)
    ;
    Kopp, V. (57213281971)
    ;
    Kronsbein, P. (6506721698)
    ;
    Kyne-Grzebalski, D. (56632305700)
    ;
    Landgraf, R. (7102895952)
    ;
    McIntosh, C. (7103076842)
    ;
    Mesquita, A.C. (57198008266)
    ;
    Misina, D. (35269483400)
    ;
    Muylle, F. (56636530800)
    ;
    Neumann, A. (59606721600)
    ;
    Paiva, A.C. (36519360600)
    ;
    Pajunen, P. (55963557800)
    ;
    Peltonen, M. (7004175068)
    ;
    Perrenoud, L. (57226211742)
    ;
    Pfeiffer, A. (22836540000)
    ;
    Pölönen, A. (36519533900)
    ;
    Raposo, F. (36519483800)
    ;
    Reinehr, T. (7003500204)
    ;
    Robinson, C. (14525720400)
    ;
    Rothe, U. (7003825375)
    ;
    Saaristo, T. (16679537200)
    ;
    Scholl, J. (57214610867)
    ;
    Spiers, S. (36519799800)
    ;
    Stemper, T. (36519835600)
    ;
    Stratmann, B. (35235411000)
    ;
    Szybinski, Z. (7006059119)
    ;
    Tankova, T. (8242458100)
    ;
    Telle-Hjellset, V. (57217955971)
    ;
    Terry, G. (36519813900)
    ;
    Tolks, D. (36519979900)
    ;
    Toti, F. (59846967100)
    ;
    Tuomilehto, J. (57217725944)
    ;
    Undeutsch, A. (36519884300)
    ;
    Valadas, C. (36519855100)
    ;
    Velickiene, D. (36519866700)
    ;
    Vermunt, P. (59744379600)
    ;
    Weiss, R. (57225959558)
    ;
    Wens, J. (6602480876)
    ;
    Yilmaz, T. (7006525167)
    Background: The prevalence and socioeconomic burden of type 2 diabetes (T2DM) and associated co-morbidities are rising worldwide. Aims: This guideline provides evidence-based recommendations for preventing T2DM. Methods: A European multidisciplinary consortium systematically reviewed the evidence on the effectiveness of screening and interventions for T2DM prevention using SIGN criteria. Results: Obesity and sedentary lifestyle are the main modifiable risk factors. Age and ethnicity are non-modifiable risk factors. Case-finding should follow a step-wise procedure using risk questionnaires and oral glucose tolerance testing. Persons with impaired glucose tolerance and/or fasting glucose are at high-risk and should be prioritized for intensive intervention. Interventions supporting lifestyle changes delay the onset of T2DM in high-risk adults (number-needed-to-treat: 6.4 over 1.84.6 years). These should be supported by inter-sectoral strategies that create health promoting environments. Sustained body weight reduction by 5% lowers risk. Currently metformin, acarbose and orlistat can be considered as second-line prevention options. The population approach should use organized measures to raise awareness and change lifestyle with specific approaches for adolescents, minorities and disadvantaged people. Interventions promoting lifestyle changes are more effective if they target both diet and physical activity, mobilize social support, involve the planned use of established behaviour change techniques, and provide frequent contacts. Cost-effectiveness analysis should take a societal perspective. Conclusions: Prevention using lifestyle modifications in high-risk individuals is cost-effective and should be embedded in evaluated models of care. Effective prevention plans are predicated upon sustained government initiatives comprising advocacy, community support, fiscal and legislative changes, private sector engagement and continuous media communication. © Georg Thieme Verlag KG Stuttgart - New York.
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    Publication
    Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015
    (2016)
    Wang, H. (57208732268)
    ;
    Wolock, T.M. (57210784314)
    ;
    Carter, A. (57201756395)
    ;
    Nguyen, G. (57191591002)
    ;
    Kyu, H.H. (57217040073)
    ;
    Gakidou, E. (6507025547)
    ;
    Hay, S.I. (7101875313)
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    Msemburi, W. (54892019100)
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    Coates, M.M. (57216595249)
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    Mooney, M.D. (57216598823)
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    Fraser, M.S. (57202561859)
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    Sligar, A. (57190284582)
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    Larson, H.J. (57223681247)
    ;
    Friedman, J. (57202895428)
    ;
    Brown, A. (57190271927)
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    Dandona, L. (7007017243)
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    Fullman, N. (57211064970)
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    Haagsma, J. (57202571125)
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    Khalil, I. (58255049500)
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    Lim, S.S. (57201800433)
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    Mikesell, J. (57202572280)
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    Mokdad, A.H. (7004813962)
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    Moradi-Lakeh, M. (35617421300)
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    Pearson, K. (57194438244)
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    Silpakit, BS (57201282679)
    ;
    Sorensen, MPH (57193950641)
    ;
    Temesgen, A.M. (56541894900)
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    Vollset, S.E. (57196315778)
    ;
    Zoeckler, L. (57203905510)
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    Murray, C.J.L. (57224556036)
    ;
    Alfonso-Cristancho, R. (57202558344)
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    Harun, K.M. (57190281262)
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    Prokop, D.M. (57190272442)
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    Mills, E.J. (57205301363)
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    Trickey, A. (57216594474)
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    Ajala, O.N. (57218094659)
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    Bärnighausen, T. (23011726900)
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    Ding, E.L. (54413849800)
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    Farvid, M.S. (57216534761)
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    Thorne-Lyman, A.L. (57194437700)
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    Won, S. (57207796874)
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    Fitchett, J.R.A. (57219697690)
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    Salomon, J. (56745638600)
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    Abajobir, A.A. (57203613441)
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    Hoy, D.G. (57216593652)
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    Alam, N.K.M. (57202437697)
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    Abate, K.H. (57207943858)
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    Ghiwot, T.T. (57195446566)
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    Gebremedhin, A.T. (57202566187)
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    Abbas, K.M. (57190285707)
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    Abd El Razek, M.M. (57192379650)
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    Abd-Allah, F. (36503428900)
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    Abdulle, A.M. (6603592018)
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    Abera, S.F. (57205180598)
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    Melaku, Y.A. (57203122720)
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    Tesfay, F.H. (57203977293)
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    Abyu, G.Y. (57190277969)
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    Bayou, T.A. (57199665742)
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    Betsu, B.D. (57196316128)
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    Gebru, A.A. (57196196083)
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    Hailu, G.B. (57219637263)
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    Tekle, T. (57190280789)
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    Yalew, A.Z. (57190286375)
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    Yebyo, H.G. (57204699309)
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    Abubakar, I. (57220174401)
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    Aldridge, R.W. (57209842885)
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    Abu-Raddad, L.J. (14032724700)
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    Abu-Rmeileh, N.M.E. (57216675148)
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    Adebiyi, A.O. (57203334499)
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    Adedeji, I.A. (57208456508)
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    Adelekan, A.L. (57216109261)
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    Ojelabi, F.A. (57202561682)
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    Adofo, K. (57216996837)
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    Adou, A.K. (56531895000)
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    Akinyemiju, T.F. (57202561503)
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    Schwebel, D.C. (6603681532)
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    Singh, J.A. (7404421736)
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    Akseer, N. (57207801968)
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    Al Lami, F.H. (57200737005)
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    Al-Aly, Z. (9738161500)
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    Alam, K. (57203681299)
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    Weintraub, R.G. (7006079405)
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    Chiang, P.P. (59846886500)
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    Meretoja, A. (12775885500)
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    Lopez, A.D. (7401455668)
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    Wijeratne, T. (14051317700)
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    Driscoll, T.R. (7005928308)
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    Kemp, A.H. (57218313462)
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    Leigh, J. (7202089604)
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    Mekonnen, A.B. (57200179648)
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    Karema, C.K. (57202557522)
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    Alasfoor, D. (57211114684)
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    Aldhahri, S.F.S. (57190287615)
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    Terkawi, A.S. (57211144258)
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    Alegretti, M.A. (56276408300)
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    Aleman, A.V. (57204772329)
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    Alemu, Z.A. (57202557784)
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    Cooper, C. (36041345700)
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    Deribew, A. (25625914400)
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    Gething, P.W. (57193559189)
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    Ali, R. (57196506541)
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    Bennett, D.A. (57650836400)
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    Bisanzio, D. (57196394991)
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    Rahimi, K. (58482212900)
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    Alkerwi, A. (57197724313)
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    Alla, F. (6701580827)
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    Al-Raddadi, R.M.S. (57219673720)
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    Saeedi, M.Y. (57214986820)
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    Alsharif, U. (57211633255)
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    Alvarez, E. (57208356285)
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    Alvis-Guzman, N. (57210741239)
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    Amare, A.T. (57202220009)
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    Hoek, H.W. (57202570421)
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    Tura, A.K. (57195623051)
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    Ciobanu, L.G. (57201603453)
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    Tessema, G.A. (57196316304)
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    Amberbir, A. (57202564972)
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    Amegah, A.K. (55542401600)
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    Ammar, W. (57208159281)
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    Harb, H.L. (57221443122)
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    Amrock, S.M. (57211220414)
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    Antonio, C.A.T. (55247644500)
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    Anwari, P. (57217465526)
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    Ärnlöv, J. (6602512227)
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    Larsson, A. (56381985300)
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    Artaman, A. (57217223811)
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    Asayesh, H. (55334322800)
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    Asghar, R.J. (57209013760)
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    Assadi, R. (57201282579)
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    Atique, S. (56505419100)
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    Atkins, L.S. (56132848600)
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    Avokpaho, E.F.G.A. (57209842037)
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    Awasthi, A. (58420926700)
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    Bhatia, E. (57202595439)
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    Ayala, B.P. (55598298700)
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    Bacha, U. (57200173721)
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    Badawi, A. (57216776029)
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    Barac, A. (55550748700)
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    Basu, A. (16315264400)
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    Bayou, Y.T. (57202895869)
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    Bazargan-Hejazi, S. (57205912040)
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    Beardsley, J. (57207800229)
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    Bedi, N. (57988442200)
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    Santos, I.S. (57198312911)
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    Bensenor, I.M. (7004830338)
    ;
    Lotufo, P.A. (7003331101)
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    Beyene, A.S. (57209036705)
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    Bhutta, Z.A. (24342648300)
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    Zuhlke, L.J. (57209027746)
    Background Timely assessment of the burden of HIV/AIDS is essential for policy setting and programme evaluation. In this report from the Global Burden of Disease Study 2015 (GBD 2015), we provide national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015. Methods For countries without high-quality vital registration data, we estimated prevalence and incidence with data from antenatal care clinics and population-based seroprevalence surveys, and with assumptions by age and sex on initial CD4 distribution at infection, CD4 progression rates (probability of progression from higher to lower CD4 cell-count category), on and off antiretroviral therapy (ART) mortality, and mortality from all other causes. Our estimation strategy links the GBD 2015 assessment of all-cause mortality and estimation of incidence and prevalence so that for each draw from the uncertainty distribution all assumptions used in each step are internally consistent. We estimated incidence, prevalence, and death with GBD versions of the Estimation and Projection Package (EPP) and Spectrum software originally developed by the Joint United Nations Programme on HIV/AIDS (UNAIDS). We used an open-source version of EPP and recoded Spectrum for speed, and used updated assumptions from systematic reviews of the literature and GBD demographic data. For countries with high-quality vital registration data, we developed the cohort incidence bias adjustment model to estimate HIV incidence and prevalence largely from the number of deaths caused by HIV recorded in cause-of-death statistics. We corrected these statistics for garbage coding and HIV misclassification. Findings Global HIV incidence reached its peak in 1997, at 3·3 million new infections (95% uncertainty interval [UI] 3·1–3·4 million). Annual incidence has stayed relatively constant at about 2·6 million per year (range 2·5–2·8 million) since 2005, after a period of fast decline between 1997 and 2005. The number of people living with HIV/AIDS has been steadily increasing and reached 38·8 million (95% UI 37·6–40·4 million) in 2015. At the same time, HIV/AIDS mortality has been declining at a steady pace, from a peak of 1·8 million deaths (95% UI 1·7–1·9 million) in 2005, to 1·2 million deaths (1·1–1·3 million) in 2015. We recorded substantial heterogeneity in the levels and trends of HIV/AIDS across countries. Although many countries have experienced decreases in HIV/AIDS mortality and in annual new infections, other countries have had slowdowns or increases in rates of change in annual new infections. Interpretation Scale-up of ART and prevention of mother-to-child transmission has been one of the great successes of global health in the past two decades. However, in the past decade, progress in reducing new infections has been slow, development assistance for health devoted to HIV has stagnated, and resources for health in low-income countries have grown slowly. Achievement of the new ambitious goals for HIV enshrined in Sustainable Development Goal 3 and the 90-90-90 UNAIDS targets will be challenging, and will need continued efforts from governments and international agencies in the next 15 years to end AIDS by 2030. Funding Bill & Melinda Gates Foundation, and National Institute of Mental Health and National Institute on Aging, National Institutes of Health. © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license
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    Publication
    Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015
    (2016)
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    Zuhlke, L.J. (57209027746)
    Background Timely assessment of the burden of HIV/AIDS is essential for policy setting and programme evaluation. In this report from the Global Burden of Disease Study 2015 (GBD 2015), we provide national estimates of levels and trends of HIV/AIDS incidence, prevalence, coverage of antiretroviral therapy (ART), and mortality for 195 countries and territories from 1980 to 2015. Methods For countries without high-quality vital registration data, we estimated prevalence and incidence with data from antenatal care clinics and population-based seroprevalence surveys, and with assumptions by age and sex on initial CD4 distribution at infection, CD4 progression rates (probability of progression from higher to lower CD4 cell-count category), on and off antiretroviral therapy (ART) mortality, and mortality from all other causes. Our estimation strategy links the GBD 2015 assessment of all-cause mortality and estimation of incidence and prevalence so that for each draw from the uncertainty distribution all assumptions used in each step are internally consistent. We estimated incidence, prevalence, and death with GBD versions of the Estimation and Projection Package (EPP) and Spectrum software originally developed by the Joint United Nations Programme on HIV/AIDS (UNAIDS). We used an open-source version of EPP and recoded Spectrum for speed, and used updated assumptions from systematic reviews of the literature and GBD demographic data. For countries with high-quality vital registration data, we developed the cohort incidence bias adjustment model to estimate HIV incidence and prevalence largely from the number of deaths caused by HIV recorded in cause-of-death statistics. We corrected these statistics for garbage coding and HIV misclassification. Findings Global HIV incidence reached its peak in 1997, at 3·3 million new infections (95% uncertainty interval [UI] 3·1–3·4 million). Annual incidence has stayed relatively constant at about 2·6 million per year (range 2·5–2·8 million) since 2005, after a period of fast decline between 1997 and 2005. The number of people living with HIV/AIDS has been steadily increasing and reached 38·8 million (95% UI 37·6–40·4 million) in 2015. At the same time, HIV/AIDS mortality has been declining at a steady pace, from a peak of 1·8 million deaths (95% UI 1·7–1·9 million) in 2005, to 1·2 million deaths (1·1–1·3 million) in 2015. We recorded substantial heterogeneity in the levels and trends of HIV/AIDS across countries. Although many countries have experienced decreases in HIV/AIDS mortality and in annual new infections, other countries have had slowdowns or increases in rates of change in annual new infections. Interpretation Scale-up of ART and prevention of mother-to-child transmission has been one of the great successes of global health in the past two decades. However, in the past decade, progress in reducing new infections has been slow, development assistance for health devoted to HIV has stagnated, and resources for health in low-income countries have grown slowly. Achievement of the new ambitious goals for HIV enshrined in Sustainable Development Goal 3 and the 90-90-90 UNAIDS targets will be challenging, and will need continued efforts from governments and international agencies in the next 15 years to end AIDS by 2030. Funding Bill & Melinda Gates Foundation, and National Institute of Mental Health and National Institute on Aging, National Institutes of Health. © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license
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    Five insights from the Global Burden of Disease Study 2019
    (2020)
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    Ghaffarifar, F. (55951262400)
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    Zaki, L. (57204106631)
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    Hasanpoor, E. (56049728500)
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    Esmaeilzadeh, F. (56450483600)
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    Etemadi, A. (7004686554)
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    Lan, Q. (23970641100)
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    Yeheyis, T.Y. (57219861340)
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    Etisso, A.E. (57216638693)
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    Ezekannagha, O. (57192130654)
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    e Farinha, C.S. (57219861144)
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    Farioli, A. (57207608705)
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    Violante, F.S. (7003555890)
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    Faris, P.S. (57203120211)
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    Faro, A. (36770969600)
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    Lam, J.O. (57201997930)
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    Filip, I. (55570061400)
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    Fischer, F. (55508208800)
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    Flor, L.S. (54414102000)
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    Foigt, N.A. (57216998893)
    The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers. © 2020 Elsevier Ltd
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    Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019
    (2020)
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    Esmaeilzadeh, F. (56450483600)
    ;
    Etemadi, A. (7004686554)
    ;
    Lan, Q. (23970641100)
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    Yeheyis, T.Y. (57219861340)
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    Etisso, A.E. (57216638693)
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    Ezekannagha, O. (57192130654)
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    e Farinha, C.S. (57219861144)
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    Farioli, A. (57207608705)
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    Violante, F.S. (7003555890)
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    Faris, P.S. (57203120211)
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    Faro, A. (36770969600)
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    Lam, J.O. (57201997930)
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    Filip, I. (55570061400)
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    Fischer, F. (55508208800)
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    Flor, L.S. (54414102000)
    ;
    Foigt, N.A. (57216998893)
    Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings: The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5–137·8) in 2000 to a peak of 139·6 million (133·0–146·9) in 2016. Global livebirths then declined to 135·3 million (127·2–144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4–27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8–67·6) in 2000 to 73·5 years (72·8–74·3) in 2019. The total number of deaths increased from 50·7 million (49·5–51·9) in 2000 to 56·5 million (53·7–59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1–10·3) in 2000 to 5·0 million (4·3–6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0–6·3) in 2000 to 7·7 billion (7·5–8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1–60·8) in 2000 to 63·5 years (60·8–66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Interpretation: Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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    Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013
    (2015)
    Forouzanfar, M.H. (57202562738)
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    Alexander, L. (57222226543)
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    Bachman, V.F. (57218330920)
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    Biryukov, S. (57195296731)
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    Brauer, M. (57218330976)
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    Casey, D. (56844735100)
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    Coates, M.M. (57216595249)
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    Delwiche, K. (56788153900)
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    Estep, K. (57216550964)
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    Frostad, J.J. (57222306717)
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    Astha, K.C. (57202839281)
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    Kyu, H.H. (57217040073)
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    Moradi-Lakeh, M. (35617421300)
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    Ng, M. (57222305903)
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    Slepak, E. (57205356367)
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    Thomas, B.A. (7401507541)
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    Wagner, J. (56990441500)
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    Achoki, T. (57202561099)
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    Atkinson, C. (57200782428)
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    Dandona, L. (7007017243)
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    Dicker, D. (57196026676)
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    Flaxman, A.D. (6602883567)
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    Fleming, T.D. (57222727747)
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    Heuton, K.R. (57202568555)
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    Iannarone, M.L. (57218422772)
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    Ku, T. (57202568605)
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    Lim, S.S. (57201800433)
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    Lopez, A.D. (7401455668)
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    MacIntyre, M.F. (57202561757)
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    McLain, A. (57201527305)
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    Mokdad, A.H. (7004813962)
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    Mullany, E.C. (57208989650)
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    Murray, C.J.L. (57224556036)
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    Robinson, M. (55994887600)
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    Sandar, L. (57202561352)
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    Stephens, N. (57202839217)
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    Temesgen, A.M. (56541894900)
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    Thomson, B. (57194423183)
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    Vos, T. (57223885848)
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    Wan, X. (59833223800)
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    Wang, H. (57208732268)
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    Wurtz, B. (57202555477)
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    Ebel, B.E. (57202572060)
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    Ellenbogen, R.G. (7007098380)
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    Wright, J.L. (55483255900)
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    Alfonso-Cristancho, R. (57202558344)
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    Anderson, B.O. (22937050900)
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    Jensen, P.N. (57224209864)
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    Quistberg, D.A. (6507023057)
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    Riederer, A. (57200113062)
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    Vavilala, M.S. (57217268916)
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    Zunt, J.R. (6602746216)
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    Anderson, H.R. (7402166391)
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    Pourmalek, F. (8309390500)
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    Gotay, C.C. (35480913900)
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    Burnett, R. (26643599300)
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    Shin, H.H. (56132914500)
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    Weichenthal, S. (57202555239)
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    Cohen, A. (7404780942)
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    Knudsen, A. (57192966362)
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    Aasvang, G. (57202561128)
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    Kinge, J.M. (56133084600)
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    Skirbekk, V. (57202564482)
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    Vollset, S. (57196315778)
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    Abbafati, C. (54917122400)
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    Abbasoglu Ozgoren, A. (56133944200)
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    Çavlin, A. (23484137000)
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    Kucuk Bicer, B. (57204528360)
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    Abd-Allah, F. (36503428900)
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    Abera, S.F. (57205180598)
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    Melaku, Y.A. (57203122720)
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    Aboyans, V. (56214736500)
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    Abraham, B. (57202568691)
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    Puthenpurakal Abraham, J. (57202839317)
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    Abraham, J. Puthenpurakal (57203894879)
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    Thorne-Lyman, A.L. (57194437700)
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    Ding, E.L. (54413849800)
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    Fahimi, S. (57216775706)
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    Khatibzadeh, S. (16550322300)
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    Wagner, G.R. (57219005948)
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    Bukhman, G. (57189462853)
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    Campos-Nonato, I.R. (57203424784)
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    Feigl, A.B. (57202461042)
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    Salomon, J.A. (56745638600)
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    Benzian, H. (57195256480)
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    Abubakar, I. (57220174401)
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    Abu-Rmeileh, N.M.E. (57216675148)
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    Aburto, T.C. (55911458000)
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    Avila, M.A. (36624972300)
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    Barquera, S. (6601928375)
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    Barrientos-Gutierrez, T. (16548801900)
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    Campuzano, J.C. (57203629478)
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    Cantoral, A.J. (57194531871)
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    Contreras, A.G. (59861589300)
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    Cuevas-Nasu, L. (57216429130)
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    De, V. (57202839215)
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    García-Guerra, F.A. (56641898300)
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    Gomez Dantes, H. (57202555692)
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    Gonzalez de Cosio, T. (57216138574)
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    González-Castell, D. (55820748500)
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    Heredia-Pi, I.B. (36941085200)
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    Hernandez, L. (25825114600)
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    Jauregui, A. (57204716988)
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    Medina, C. (57196263274)
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    Mejia-Rodriguez, F. (56013641600)
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    Montañez Hernandez, J.C. (57203977041)
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    Pedraza, L.S. (57202372021)
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    Pedroza, A. (55820670500)
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    Quezada, A.D. (56536501100)
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    Salvo, D. (57197753159)
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    Sanchez, L.M. (6602725455)
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    Sánchez-Pimienta, T.G. (57042673800)
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    Servan-Mori, E.E. (57202594826)
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    Shamah Levy, T. (55989758300)
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    Téllez Rojo, M.M. (57203583920)
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    Villalpando, S. (7005159171)
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    Adelekan, A. (57216109261)
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    Adofo, K. (57216996837)
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    Adou, A.K. (56531895000)
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    Adsuar, J.C. (21738958900)
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    Fra Paleo, U. (15053114000)
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    Afshin, A. (57217465455)
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    Micha, R. (25632461800)
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    Mozaffarian, D. (56751007100)
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    Shahraz, S. (57215142060)
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    Shangguan, S. (55983936400)
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    Singh, G.M. (57201766941)
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    Agardh, E.E. (57202373873)
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    Al Khabouri, M.J. (57199096118)
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    Al Lami, F.H. (57200737005)
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    Alam, S. (56809534300)
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    Naheed, A. (57202560989)
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    Alasfoor, D. (57211114684)
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    Albittar, M.I. (56276571900)
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    Alegretti, M.A. (56276408300)
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    Cavalleri, F. (57203080582)
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    Aleman, A.V. (57204772329)
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    Colistro, V. (57214065358)
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    Alemu, Z.A. (57202557784)
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    Alhabib, S. (57194933167)
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    Chen, Z. (55577325200)
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    Gething, P. (57193559189)
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    Ali, R. (57196506541)
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    Bennett, D.A. (57650836400)
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    Briggs, A.D.M. (57193915655)
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    Scarborough, P. (6602753656)
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    Simard, E.P. (57211913376)
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    Ali, M.K. (7404486641)
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    Argeseanu Cunningham, S. (55663597400)
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    Liu, Y. (57202561981)
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    Narayan, K.M.V. (56726795700)
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    Omer, S.B. (57216065685)
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    Alla, F. (6701580827)
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    Guillemin, F. (34976591800)
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    Allebeck, P. (7005187575)
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    Kivipelto, M. (6701347410)
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    Weiderpass, E. (57205018947)
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    Fereshtehnejad, S. (57202557520)
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    Allen, P.J. (58444261300)
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    Nolte, S. (24073274400)
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    Papachristou, C. (7005498635)
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    Ameh, E.A. (7006356993)
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    Ameli, O. (57193900801)
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    Amini, H. (57202568400)
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    Tanner, M. (7202127772)
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    Harb, H.L. (57221443122)
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    Antonio, C.A.T. (55247644500)
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    Panelo, C.A. (16245519000)
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    Batis Ruvalcaba, C. (57194576758)
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    Texcalac, J.L. (57200575107)
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    Basu, S. (57216998246)
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    Basulaiman, M.O. (57218332983)
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    Memish, Z.A. (7005059350)
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    Beardsley, J. (57207800229)
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    Nash, D. (57203073814)
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    Cardis, E. (7003542162)
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    Nieuwenhuijsen, M.J. (7007123042)
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    Rojas-Rueda, D. (57203642966)
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    Carpenter, D.O. (7201795413)
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    Caso, V. (55401514700)
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    Castañeda-Orjuela, C.A. (35769124700)
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    Castro, R.E. (57216814152)
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    Catalá-López, F. (57202553733)
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    Chadha, V.K. (57208775362)
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    Chang, J. (57202568248)
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    Scott, J.G. (57218307442)
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    Hoy, D.G. (57216593652)
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    Knibbs, L.D. (16313525200)
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    ;
    Zhu, S. (7404391225)
    Background: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods: Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings: All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation: Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks.
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    Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
    (2016)
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    Zaki, M.E. (57203666922)
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    Zhu, J. (56215097100)
    Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation. © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license
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    Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015
    (2016)
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    Background Non-fatal outcomes of disease and injury increasingly detract from the ability of the world's population to live in full health, a trend largely attributable to an epidemiological transition in many countries from causes affecting children, to non-communicable diseases (NCDs) more common in adults. For the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015), we estimated the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015. Methods We estimated incidence and prevalence by age, sex, cause, year, and geography with a wide range of updated and standardised analytical procedures. Improvements from GBD 2013 included the addition of new data sources, updates to literature reviews for 85 causes, and the identification and inclusion of additional studies published up to November, 2015, to expand the database used for estimation of non-fatal outcomes to 60 900 unique data sources. Prevalence and incidence by cause and sequelae were determined with DisMod-MR 2.1, an improved version of the DisMod-MR Bayesian meta-regression tool first developed for GBD 2010 and GBD 2013. For some causes, we used alternative modelling strategies where the complexity of the disease was not suited to DisMod-MR 2.1 or where incidence and prevalence needed to be determined from other data. For GBD 2015 we created a summary indicator that combines measures of income per capita, educational attainment, and fertility (the Socio-demographic Index [SDI]) and used it to compare observed patterns of health loss to the expected pattern for countries or locations with similar SDI scores. Findings We generated 9·3 billion estimates from the various combinations of prevalence, incidence, and YLDs for causes, sequelae, and impairments by age, sex, geography, and year. In 2015, two causes had acute incidences in excess of 1 billion: upper respiratory infections (17·2 billion, 95% uncertainty interval [UI] 15·4–19·2 billion) and diarrhoeal diseases (2·39 billion, 2·30–2·50 billion). Eight causes of chronic disease and injury each affected more than 10% of the world's population in 2015: permanent caries, tension-type headache, iron-deficiency anaemia, age-related and other hearing loss, migraine, genital herpes, refraction and accommodation disorders, and ascariasis. The impairment that affected the greatest number of people in 2015 was anaemia, with 2·36 billion (2·35–2·37 billion) individuals affected. The second and third leading impairments by number of individuals affected were hearing loss and vision loss, respectively. Between 2005 and 2015, there was little change in the leading causes of years lived with disability (YLDs) on a global basis. NCDs accounted for 18 of the leading 20 causes of age-standardised YLDs on a global scale. Where rates were decreasing, the rate of decrease for YLDs was slower than that of years of life lost (YLLs) for nearly every cause included in our analysis. For low SDI geographies, Group 1 causes typically accounted for 20–30% of total disability, largely attributable to nutritional deficiencies, malaria, neglected tropical diseases, HIV/AIDS, and tuberculosis. Lower back and neck pain was the leading global cause of disability in 2015 in most countries. The leading cause was sense organ disorders in 22 countries in Asia and Africa and one in central Latin America; diabetes in four countries in Oceania; HIV/AIDS in three southern sub-Saharan African countries; collective violence and legal intervention in two north African and Middle Eastern countries; iron-deficiency anaemia in Somalia and Venezuela; depression in Uganda; onchoceriasis in Liberia; and other neglected tropical diseases in the Democratic Republic of the Congo. Interpretation Ageing of the world's population is increasing the number of people living with sequelae of diseases and injuries. Shifts in the epidemiological profile driven by socioeconomic change also contribute to the continued increase in years lived with disability (YLDs) as well as the rate of increase in YLDs. Despite limitations imposed by gaps in data availability and the variable quality of the data available, the standardised and comprehensive approach of the GBD study provides opportunities to examine broad trends, compare those trends between countries or subnational geographies, benchmark against locations at similar stages of development, and gauge the strength or weakness of the estimates available. Funding Bill & Melinda Gates Foundation. © 2016 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license
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    Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015
    (2016)
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    Background In September, 2015, the UN General Assembly established the Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015). Methods We applied statistical methods to systematically compiled data to estimate the performance of 33 health-related SDG indicators for 188 countries from 1990 to 2015. We rescaled each indicator on a scale from 0 (worst observed value between 1990 and 2015) to 100 (best observed). Indices representing all 33 health-related SDG indicators (health-related SDG index), health-related SDG indicators included in the Millennium Development Goals (MDG index), and health-related indicators not included in the MDGs (non-MDG index) were computed as the geometric mean of the rescaled indicators by SDG target. We used spline regressions to examine the relations between the Socio-demographic Index (SDI, a summary measure based on average income per person, educational attainment, and total fertility rate) and each of the health-related SDG indicators and indices. Findings In 2015, the median health-related SDG index was 59·3 (95% uncertainty interval 56·8–61·8) and varied widely by country, ranging from 85·5 (84·2–86·5) in Iceland to 20·4 (15·4–24·9) in Central African Republic. SDI was a good predictor of the health-related SDG index (r2=0·88) and the MDG index (r2=0·92), whereas the non-MDG index had a weaker relation with SDI (r2=0·79). Between 2000 and 2015, the health-related SDG index improved by a median of 7·9 (IQR 5·0–10·4), and gains on the MDG index (a median change of 10·0 [6·7–13·1]) exceeded that of the non-MDG index (a median change of 5·5 [2·1–8·9]). Since 2000, pronounced progress occurred for indicators such as met need with modern contraception, under-5 mortality, and neonatal mortality, as well as the indicator for universal health coverage tracer interventions. Moderate improvements were found for indicators such as HIV and tuberculosis incidence, minimal changes for hepatitis B incidence took place, and childhood overweight considerably worsened. Interpretation GBD provides an independent, comparable avenue for monitoring progress towards the health-related SDGs. Our analysis not only highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient. Although considerable progress on the health-related MDG indicators has been made, these gains will need to be sustained and, in many cases, accelerated to achieve the ambitious SDG targets. The minimal improvement in or worsening of health-related indicators beyond the MDGs highlight the need for additional resources to effectively address the expanded scope of the health-related SDGs. Funding Bill & Melinda Gates Foundation. © 2016 The Authors(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY license

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