TY - JOUR
T1 - Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016
T2 - A systematic analysis for the Global Burden of Disease Study 2016
AU - GBD 2016 DALYs and HALE Collaborators
AU - Hay, Simon I.
AU - Abajobir, Amanuel Alemu
AU - Abate, Kalkidan Hassen
AU - Abbafati, Cristiana
AU - Abbas, Kaja M.
AU - Abd-Allah, Foad
AU - Abdulkader, Rizwan Suliankatchi
AU - Abdulle, Abdishakur M.
AU - Abebo, Teshome Abuka
AU - Abera, Semaw Ferede
AU - Aboyans, Victor
AU - Abu-Raddad, Laith J.
AU - Ackerman, Ilana N.
AU - Adedeji, Isaac A.
AU - Adetokunboh, Olatunji
AU - Afshin, Ashkan
AU - Aggarwal, Rakesh
AU - Agrawal, Sutapa
AU - Agrawal, Anurag
AU - Ahmed, Muktar Beshir
AU - Aichour, Miloud Taki Eddine
AU - Aichour, Amani Nidhal
AU - Aichour, Ibtihel
AU - Aiyar, Sneha
AU - Akinyemiju, Tomi F.
AU - Akseer, Nadia
AU - Al Lami, Faris Hasan
AU - Alahdab, Fares
AU - Al-Aly, Ziyad
AU - Alam, Khurshid
AU - Alam, Noore
AU - Alam, Tahiya
AU - Alasfoor, Deena
AU - Alene, Kefyalew Addis
AU - Ali, Raghib
AU - Alizadeh-Navaei, Reza
AU - Alkaabi, Juma M.
AU - Alkerwi, Ala'a
AU - Alla, François
AU - Allebeck, Peter
AU - Allen, Christine
AU - Al-Maskari, Fatma
AU - AlMazroa, Mohammad Abdulaziz
AU - Al-Raddadi, Rajaa
AU - Alsharif, Ubai
AU - Alsowaidi, Shirina
AU - Althouse, Benjamin M.
AU - Altirkawi, Khalid A.
AU - Alvis-Guzman, Nelson
AU - Amare, Azmeraw T.
AU - Amini, Erfan
AU - Ammar, Walid
AU - Amoako, Yaw Ampem
AU - Ansha, Mustafa Geleto
AU - Antonio, Carl Abelardo T.
AU - Anwari, Palwasha
AU - Ärnlöv, Johan
AU - Arora, Megha
AU - Artaman, Al
AU - Aryal, Krishna Kumar
AU - Asgedom, Solomon W.
AU - Atey, Tesfay Mehari
AU - Atnafu, Niguse Tadele
AU - Avila-Burgos, Leticia
AU - Arthur Avokpaho, Euripide Frinel G.
AU - Awasthi, Ashish
AU - Awasthi, Shally
AU - Azarpazhooh, Mahmoud Reza
AU - Azzopardi, Peter
AU - Babalola, Tesleem Kayode
AU - Bacha, Umar
AU - Badawi, Alaa
AU - Balakrishnan, Kalpana
AU - Bannick, Marlena S.
AU - Barac, Aleksandra
AU - Barker-Collo, Suzanne L.
AU - Bärnighausen, Till
AU - Barquera, Simon
AU - Barrero, Lope H.
AU - Basu, Sanjay
AU - Battista, Robert
AU - Battle, Katherine E.
AU - Baune, Bernhard T.
AU - Bazargan-Hejazi, Shahrzad
AU - Beardsley, Justin
AU - Bedi, Neeraj
AU - Béjot, Yannick
AU - Bekele, Bayu Begashaw
AU - Bell, Michelle L.
AU - Bennett, Derrick A.
AU - Bennett, James R.
AU - Bensenor, Isabela M.
AU - Benson, Jennifer
AU - Berhane, Adugnaw
AU - Berhe, Derbew Fikadu
AU - Bernabé, Eduardo
AU - Betsu, Balem Demtsu
AU - Beuran, Mircea
AU - Beyene, Addisu Shunu
AU - Bhansali, Anil
AU - Bhatt, Samir
AU - Bhutta, Zulfqar A.
AU - Biadgilign, Sibhatu
AU - Bienhof, Kelly
AU - Bikbov, Boris
AU - Birungi, Charles
AU - Biryukov, Stan
AU - Bisanzio, Donal
AU - Bizuayehu, Habtamu Mellie
AU - Blyth, Fiona M.
AU - Boneya, Dube Jara
AU - Bose, Dipan
AU - Bou-Orm, Ibrahim R.
AU - Bourne, Rupert R.A.
AU - Brainin, Michael
AU - Brayne, Carol E.G.
AU - Brazinova, Alexandra
AU - Breitborde, Nicholas J.K.
AU - Briant, Paul S.
AU - Britton, Gabrielle
AU - Brugha, Traolach S.
AU - Buchbinder, Rachelle
AU - Bulto, Lemma Negesa Bulto
AU - Bumgarner, Blair
AU - Butt, Zahid A.
AU - Cahuana-Hurtado, Lucero
AU - Cameron, Ewan
AU - Campos-Nonato, Ismael Ricardo
AU - Carabin, Hélène
AU - Cárdenas, Rosario
AU - Carpenter, David O.
AU - Carrero, Juan Jesus
AU - Carter, Austin
AU - Carvalho, Felix
AU - Casey, Daniel
AU - Castañeda-Orjuela, Carlos A.
AU - Rivas, Jacqueline Castillo
AU - Castle, Chris D.
AU - Catalá-López, Ferrán
AU - Chang, Jung-Chen
AU - Charlson, Fiona J.
AU - Chaturvedi, Pankaj
AU - Chen, Honglei
AU - Chibalabala, Mirriam
AU - Chibueze, Chioma Ezinne
AU - Chisumpa, Vesper Hichilombwe
AU - Chitheer, Abdulaal A.
AU - Chowdhury, Rajiv
AU - Christopher, Devasahayam Jesudas
AU - Ciobanu, Liliana G.
AU - Cirillo, Massimo
AU - Colombara, Danny
AU - Cooper, Leslie Trumbull
AU - Cooper, Cyrus
AU - Cortesi, Paolo Angelo
AU - Cortinovis, Monica
AU - Criqui, Michael H.
AU - Cromwell, Elizabeth A.
AU - Cross, Marita
AU - Crump, John A.
AU - Dadi, Abel Fekadu
AU - Dalal, Koustuv
AU - Damasceno, Albertino
AU - Dandona, Lalit
AU - Dandona, Rakhi
AU - Das Neves, José
AU - Davitoiu, Dragos V.
AU - Davletov, Kairat
AU - De Courten, Barbora
AU - De Leo, Diego
AU - De Steur, Hans
AU - Degenhardt, Louisa
AU - Deiparine, Selina
AU - Dellavalle, Robert P.
AU - Deribe, Kebede
AU - Deribew, Amare
AU - Das Jarlais, Don C.
AU - Dey, Subhojit
AU - Dharmaratne, Samath D.
AU - Dhillon, Preet K.
AU - Dicker, Daniel
AU - Djalalinia, Shirin
AU - Do, Huyen Phuc
AU - Dokova, Klara
AU - Doku, David Teye
AU - Dorsey, E. Ray
AU - Dos Santos, Kadine Priscila Bender
AU - Driscoll, Tim R.
AU - Dubey, Manisha
AU - Duncan, Bruce Bartholow
AU - Ebel, Beth E.
AU - Echko, Michelle
AU - El-Khatib, Ziad Ziad
AU - Enayati, Ahmadali
AU - Endries, Aman Yesuf
AU - Ermakov, Sergey Petrovich
AU - Erskine, Holly E.
AU - Eshetie, Setegn
AU - Eshrati, Babak
AU - Esteghamati, Alireza
AU - Estep, Kara
AU - Fanuel, Fanuel Belayneh Bekele
AU - Farag, Tamer
AU - Farinha, Carla Sofa e Sa
AU - Faro, André
AU - Farzadfar, Farshad
AU - Fazeli, Mir Sohail
AU - Feigin, Valery L.
AU - Feigl, Andrea B.
AU - Fereshtehnejad, Seyed Mohammad
AU - Fernandes, João C.
AU - Ferrari, Alize J.
AU - Feyissa, Tesfaye Regassa
AU - Filip, Irina
AU - Fischer, Florian
AU - Fitzmaurice, Christina
AU - Flaxman, Abraham D.
AU - Foigt, Nataliya
AU - Foreman, Kyle J.
AU - Franklin, Richard C.
AU - Frostad, Joseph J.
AU - Fullman, Nancy
AU - Fürst, Thomas
AU - Furtado, Joao M.
AU - Futran, Neal D.
AU - Gakidou, Emmanuela
AU - Garcia-Basteiro, Alberto L.
AU - Gebre, Teshome
AU - Gebregergs, Gebremedhin Berhe
AU - Gebrehiwot, Tsegaye Tewelde
AU - Geleijnse, Johanna M.
AU - Geleto, Ayele
AU - Gemechu, Bikila Lencha
AU - Gesesew, Hailay Abrha
AU - Gething, Peter W.
AU - Ghajar, Alireza
AU - Gibney, Katherine B.
AU - Gillum, Richard F.
AU - Ginawi, Ibrahim Abdelmageem Mohamed
AU - Gishu, Melkamu Dedefo
AU - Giussani, Giorgia
AU - Godwin, William W.
AU - Goel, Kashish
AU - Goenka, Shifalika
AU - Goldberg, Ellen M.
AU - Gona, Philimon N.
AU - Goodridge, Amador
AU - McAlinden, Colm
AU - Pesudovs, Konrad
PY - 2017/9/16
Y1 - 2017/9/16
N2 - Background: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI). Methods: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE difered from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate. Findings: The highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs ofset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the fve lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally. Interpretation: At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs ofset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention eforts, and development assistance for health, including fnancial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support.
AB - Background: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI). Methods: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE difered from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate. Findings: The highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs ofset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the fve lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally. Interpretation: At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs ofset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention eforts, and development assistance for health, including fnancial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support.
KW - policy development
KW - epidemiological patterns
KW - resource allocation
UR - http://www.scopus.com/inward/record.url?scp=85031764078&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(17)32130-X
DO - 10.1016/S0140-6736(17)32130-X
M3 - Article
C2 - 28919118
AN - SCOPUS:85031764078
SN - 0140-6736
VL - 390
SP - 1260
EP - 1344
JO - The Lancet
JF - The Lancet
IS - 10100
ER -