TY - JOUR KW - Young Adult KW - Wounds and Injuries KW - Sex Factors KW - Quality-Adjusted Life Years KW - Prevalence KW - Middle Aged KW - Male KW - Infant, Newborn KW - Infant KW - Humans KW - Health Status KW - Global health KW - Female KW - Child, Preschool KW - Child KW - Aged, 80 and over KW - Aged KW - Age Factors KW - Adult KW - Adolescent AU - Murray C AU - Vos T AU - Lozano R AU - Naghavi M AU - Flaxman A AU - Michaud C AU - Ezzati M AU - Shibuya K AU - Salomon JA AU - Abdalla S AU - Aboyans V AU - Abraham J AU - Ackerman I AU - Aggarwal R AU - Ahn SY AU - Ali M AU - Alvarado M AU - Anderson R AU - Anderson L AU - Andrews K AU - Atkinson C AU - Baddour LM AU - Bahalim AN AU - Barker-Collo S AU - Barrero LH AU - Bartels D AU - Basáñez M AU - Baxter A AU - Bell M AU - Benjamin E AU - Bennett D AU - Bernabé E AU - Bhalla K AU - Bhandari B AU - Bikbov B AU - Bin Abdulhak A AU - Birbeck G AU - Black J AU - Blencowe H AU - Blore J AU - Blyth FM AU - Bolliger I AU - Bonaventure A AU - Boufous S AU - Bourne R AU - Boussinesq M AU - Braithwaite T AU - Brayne C AU - Bridgett L AU - Brooker S AU - Brooks P AU - Brugha TS AU - Bryan-Hancock C AU - Bucello C AU - Buchbinder R AU - Buckle G AU - Budke C AU - Burch M AU - Burney P AU - Burstein R AU - Calabria B AU - Campbell B AU - Canter CE AU - Carabin H AU - Carapetis J AU - Carmona L AU - Cella C AU - Charlson FJ AU - Chen H AU - Cheng AT AU - Chou D AU - Chugh S AU - Coffeng L AU - Colan SD AU - Colquhoun S AU - Colson E AU - Condon J AU - Connor MD AU - Cooper LT AU - Corriere M AU - Cortinovis M AU - Vaccaro KC AU - Couser W AU - Cowie BC AU - Criqui M AU - Cross M AU - Dabhadkar K AU - Dahiya M AU - Dahodwala N AU - Damsere-Derry J AU - Danaei G AU - Davis A AU - De Leo D AU - Degenhardt L AU - Dellavalle R AU - Delossantos A AU - Denenberg J AU - Derrett S AU - Des Jarlais DC AU - Dharmaratne SD AU - Dherani MK AU - Diaz-Torné C AU - Dolk H AU - Dorsey R AU - Driscoll T AU - Duber HC AU - Ebel B AU - Edmond KM AU - Elbaz A AU - Ali SE AU - Erskine H AU - Erwin PJ AU - Espindola P AU - Ewoigbokhan SE AU - Farzadfar F AU - Feigin VL AU - Felson DT AU - Ferrari A AU - Ferri CP AU - Fèvre EM AU - Finucane MM AU - Flaxman S AU - Flood L AU - Foreman K AU - Forouzanfar M AU - Fowkes FG AU - Fransen M AU - Freeman M AU - Gabbe BJ AU - Gabriel SE AU - Gakidou E AU - Ganatra HA AU - Garcia B AU - Gaspari F AU - Gillum RF AU - Gmel G AU - González-Medina D AU - Gosselin R AU - Grainger R AU - Grant B AU - Groeger J AU - Guillemin F AU - Gunnell D AU - Gupta R AU - Haagsma J AU - Hagan H AU - Halasa YA AU - Hall W AU - Haring D AU - Haro JM AU - Harrison J AU - Havmoeller R AU - Hay R AU - Higashi H AU - Hill C AU - Hoen B AU - Hoffman H AU - Hotez P AU - Hoy DG AU - Huang J AU - Ibeanusi S AU - Jacobsen K AU - James S AU - Jarvis D AU - Jasrasaria R AU - Jayaraman S AU - Johns N AU - Jonas J AU - Karthikeyan G AU - Kassebaum N AU - Kawakami N AU - Keren A AU - Khoo J AU - King C AU - Knowlton LM AU - Kobusingye O AU - Koranteng A AU - Krishnamurthi R AU - Laden F AU - Lalloo R AU - Laslett L AU - Lathlean T AU - Leasher JL AU - Lee YY AU - Leigh J AU - Levinson D AU - Lim S AU - Limb E AU - Lin JK AU - Lipnick M AU - Lipshultz S AU - Liu W AU - Loane M AU - Ohno SL AU - Lyons RA AU - Mabweijano J AU - Macintyre M AU - Malekzadeh R AU - Mallinger L AU - Manivannan S AU - Marcenes W AU - March L AU - Margolis D AU - Marks GB AU - Marks R AU - Matsumori A AU - Matzopoulos R AU - Mayosi BM AU - McAnulty JH AU - McDermott M AU - Mcgill NW AU - McGrath J AU - Medina-Mora ME AU - Meltzer M AU - Mensah G AU - Merriman T AU - Meyer A AU - Miglioli V AU - Miller M AU - Miller T AU - Mitchell PB AU - Mock C AU - Mocumbi AO AU - Moffitt T AU - Mokdad A AU - Monasta L AU - Montico M AU - Moradi-Lakeh M AU - Moran A AU - Morawska L AU - Mori R AU - Murdoch M AU - Mwaniki MK AU - Naidoo K AU - Nair N AU - Naldi L AU - Narayan VK M AU - Nelson P AU - Nelson R AU - Nevitt M AU - Newton CR AU - Nolte S AU - Norman P AU - Norman R AU - O'Donnell M AU - O'Hanlon S AU - Olives C AU - Omer SB AU - Ortblad K AU - Osborne R AU - Ozgediz D AU - Page A AU - Pahari B AU - Pandian JD AU - Rivero AP AU - Patten S AU - Pearce N AU - Padilla RP AU - Perez-Ruiz F AU - Perico N AU - Pesudovs K AU - Phillips D AU - Phillips M AU - Pierce K AU - Pion S AU - Polanczyk GV AU - Polinder S AU - Pope AC AU - Popova S AU - Porrini E AU - Pourmalek F AU - Prince M AU - Pullan R AU - Ramaiah K AU - Ranganathan D AU - Razavi H AU - Regan M AU - Rehm JT AU - Rein DB AU - Remuzzi G AU - Richardson K AU - Rivara F AU - Roberts T AU - Robinson C AU - De Leòn FR AU - Ronfani L AU - Room R AU - Rosenfeld LC AU - Rushton L AU - Sacco RL AU - Saha S AU - Sampson U AU - Sanchez-Riera L AU - Sanman E AU - Schwebel D AU - Scott JG AU - Segui-Gomez M AU - Shahraz S AU - Shepard DS AU - Shin H AU - Shivakoti R AU - Singh D AU - Singh GM AU - Singh JA AU - Singleton J AU - Sleet DA AU - Sliwa K AU - Smith E AU - Smith JL AU - Stapelberg N AU - Steer AC AU - Steiner TJ AU - Stolk W AU - Stovner LJ AU - Sudfeld C AU - Syed S AU - Tamburlini G AU - Tavakkoli M AU - Taylor H AU - Taylor JA AU - Taylor W AU - Thomas B AU - Thomson M AU - Thurston GD AU - Tleyjeh IM AU - Tonelli M AU - Towbin J AU - Truelsen T AU - Tsilimbaris MK AU - Ubeda C AU - Undurraga E AU - Werf MJ AU - Van Os J AU - Vavilala M AU - Venketasubramanian N AU - Wang M AU - Wang W AU - Watt K AU - Weatherall D AU - Weinstock MA AU - Weintraub R AU - Weisskopf MG AU - Weissman MM AU - White R AU - Whiteford HA AU - Wiebe N AU - Wiersma S AU - Wilkinson JD AU - Williams HC AU - Williams S AU - Witt E AU - Wolfe F AU - Woolf AD AU - Wulf SK AU - Yeh P AU - Zaidi A AU - Zheng Z AU - Zonies D AU - Lopez AD AU - Almazroa M AU - Memish Z AB -

BACKGROUND: Measuring disease and injury burden in populations requires a composite metric that captures both premature mortality and the prevalence and severity of ill-health. The 1990 Global Burden of Disease study proposed disability-adjusted life years (DALYs) to measure disease burden. No comprehensive update of disease burden worldwide incorporating a systematic reassessment of disease and injury-specific epidemiology has been done since the 1990 study. We aimed to calculate disease burden worldwide and for 21 regions for 1990, 2005, and 2010 with methods to enable meaningful comparisons over time.

METHODS: We calculated DALYs as the sum of years of life lost (YLLs) and years lived with disability (YLDs). DALYs were calculated for 291 causes, 20 age groups, both sexes, and for 187 countries, and aggregated to regional and global estimates of disease burden for three points in time with strictly comparable definitions and methods. YLLs were calculated from age-sex-country-time-specific estimates of mortality by cause, with death by standardised lost life expectancy at each age. YLDs were calculated as prevalence of 1160 disabling sequelae, by age, sex, and cause, and weighted by new disability weights for each health state. Neither YLLs nor YLDs were age-weighted or discounted. Uncertainty around cause-specific DALYs was calculated incorporating uncertainty in levels of all-cause mortality, cause-specific mortality, prevalence, and disability weights.

FINDINGS: Global DALYs remained stable from 1990 (2·503 billion) to 2010 (2·490 billion). Crude DALYs per 1000 decreased by 23% (472 per 1000 to 361 per 1000). An important shift has occurred in DALY composition with the contribution of deaths and disability among children (younger than 5 years of age) declining from 41% of global DALYs in 1990 to 25% in 2010. YLLs typically account for about half of disease burden in more developed regions (high-income Asia Pacific, western Europe, high-income North America, and Australasia), rising to over 80% of DALYs in sub-Saharan Africa. In 1990, 47% of DALYs worldwide were from communicable, maternal, neonatal, and nutritional disorders, 43% from non-communicable diseases, and 10% from injuries. By 2010, this had shifted to 35%, 54%, and 11%, respectively. Ischaemic heart disease was the leading cause of DALYs worldwide in 2010 (up from fourth rank in 1990, increasing by 29%), followed by lower respiratory infections (top rank in 1990; 44% decline in DALYs), stroke (fifth in 1990; 19% increase), diarrhoeal diseases (second in 1990; 51% decrease), and HIV/AIDS (33rd in 1990; 351% increase). Major depressive disorder increased from 15th to 11th rank (37% increase) and road injury from 12th to 10th rank (34% increase). Substantial heterogeneity exists in rankings of leading causes of disease burden among regions.

INTERPRETATION: Global disease burden has continued to shift away from communicable to non-communicable diseases and from premature death to years lived with disability. In sub-Saharan Africa, however, many communicable, maternal, neonatal, and nutritional disorders remain the dominant causes of disease burden. The rising burden from mental and behavioural disorders, musculoskeletal disorders, and diabetes will impose new challenges on health systems. Regional heterogeneity highlights the importance of understanding local burden of disease and setting goals and targets for the post-2015 agenda taking such patterns into account. Because of improved definitions, methods, and data, these results for 1990 and 2010 supersede all previously published Global Burden of Disease results.

FUNDING: Bill & Melinda Gates Foundation.

BT - Lancet (London, England) C1 -

http://www.ncbi.nlm.nih.gov/pubmed/23245608?dopt=Abstract

DO - 10.1016/S0140-6736(12)61689-4 IS - 9859 J2 - Lancet LA - eng N2 -

BACKGROUND: Measuring disease and injury burden in populations requires a composite metric that captures both premature mortality and the prevalence and severity of ill-health. The 1990 Global Burden of Disease study proposed disability-adjusted life years (DALYs) to measure disease burden. No comprehensive update of disease burden worldwide incorporating a systematic reassessment of disease and injury-specific epidemiology has been done since the 1990 study. We aimed to calculate disease burden worldwide and for 21 regions for 1990, 2005, and 2010 with methods to enable meaningful comparisons over time.

METHODS: We calculated DALYs as the sum of years of life lost (YLLs) and years lived with disability (YLDs). DALYs were calculated for 291 causes, 20 age groups, both sexes, and for 187 countries, and aggregated to regional and global estimates of disease burden for three points in time with strictly comparable definitions and methods. YLLs were calculated from age-sex-country-time-specific estimates of mortality by cause, with death by standardised lost life expectancy at each age. YLDs were calculated as prevalence of 1160 disabling sequelae, by age, sex, and cause, and weighted by new disability weights for each health state. Neither YLLs nor YLDs were age-weighted or discounted. Uncertainty around cause-specific DALYs was calculated incorporating uncertainty in levels of all-cause mortality, cause-specific mortality, prevalence, and disability weights.

FINDINGS: Global DALYs remained stable from 1990 (2·503 billion) to 2010 (2·490 billion). Crude DALYs per 1000 decreased by 23% (472 per 1000 to 361 per 1000). An important shift has occurred in DALY composition with the contribution of deaths and disability among children (younger than 5 years of age) declining from 41% of global DALYs in 1990 to 25% in 2010. YLLs typically account for about half of disease burden in more developed regions (high-income Asia Pacific, western Europe, high-income North America, and Australasia), rising to over 80% of DALYs in sub-Saharan Africa. In 1990, 47% of DALYs worldwide were from communicable, maternal, neonatal, and nutritional disorders, 43% from non-communicable diseases, and 10% from injuries. By 2010, this had shifted to 35%, 54%, and 11%, respectively. Ischaemic heart disease was the leading cause of DALYs worldwide in 2010 (up from fourth rank in 1990, increasing by 29%), followed by lower respiratory infections (top rank in 1990; 44% decline in DALYs), stroke (fifth in 1990; 19% increase), diarrhoeal diseases (second in 1990; 51% decrease), and HIV/AIDS (33rd in 1990; 351% increase). Major depressive disorder increased from 15th to 11th rank (37% increase) and road injury from 12th to 10th rank (34% increase). Substantial heterogeneity exists in rankings of leading causes of disease burden among regions.

INTERPRETATION: Global disease burden has continued to shift away from communicable to non-communicable diseases and from premature death to years lived with disability. In sub-Saharan Africa, however, many communicable, maternal, neonatal, and nutritional disorders remain the dominant causes of disease burden. The rising burden from mental and behavioural disorders, musculoskeletal disorders, and diabetes will impose new challenges on health systems. Regional heterogeneity highlights the importance of understanding local burden of disease and setting goals and targets for the post-2015 agenda taking such patterns into account. Because of improved definitions, methods, and data, these results for 1990 and 2010 supersede all previously published Global Burden of Disease results.

FUNDING: Bill & Melinda Gates Foundation.

PY - 2012 SP - 2197 EP - 223 T2 - Lancet (London, England) TI - Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. UR - http://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(12)61689-4.pdf VL - 380 SN - 1474-547X ER -