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: a systematic analysis for the Global Burden of Disease Study 2016

被引:1358
作者
Hay, Simon I. [1 ,7 ]
Abajobir, Amanuel Alemu [12 ]
Abate, Kalkidan Hassen [16 ]
Abbafati, Cristiana [17 ]
Abbas, Kaja M. [18 ]
Abd-Allah, Foad [19 ]
Abdulle, Abdishakur M. [20 ]
Abebo, Teshome Abuka [21 ]
Abera, Semaw Ferede [22 ,26 ]
Aboyans, Victor [27 ]
Abu-Raddad, Laith J. [28 ]
Ackerman, Ilana N. [29 ]
Adedeji, Isaac A. [34 ]
Adetokunboh, Olatunji [33 ]
Afshin, Ashkan [1 ]
Aggarwal, Rakesh [35 ]
Agrawal, Sutapa [37 ]
Agrawal, Anurag [38 ,39 ]
Kiadaliri, Aliasghar Ahmad [40 ]
Ahmed, Muktar Beshir [15 ]
Aichour, Amani Nidhal [42 ]
Aichour, Ibtihel [43 ]
Aichour, Miloud Taki Eddine [44 ]
Aiyar, Sneha [1 ]
Akinyemiju, Tomi F. [45 ]
Akseer, Nadia [47 ,48 ]
Al Lami, Faris Hasan [51 ]
Alahdab, Fares [52 ,53 ]
Al-Aly, Ziyad [54 ]
Alam, Khurshid [55 ,61 ,63 ]
Alam, Noore [64 ]
Alam, Tahiya [1 ]
Alasfoor, Deena [65 ]
Alene, Kefyalew Addis [66 ,69 ]
Ali, Raghib [11 ]
Alizadeh-Navaei, Reza [70 ]
Alkaabi, Juma M. [72 ]
Alkerwi, Ala'a [73 ]
Alla, Francois [74 ]
Allebeck, Peter [75 ]
Allen, Christine [1 ]
Al-Maskari, Fatma [72 ]
AlMazroa, Mohammad AbdulAziz [79 ]
Al-Raddadi, Rajaa [80 ]
Alsharif, Ubai [81 ]
Alsowaidi, Shirina [72 ]
Althouse, Benjamin M. [6 ,82 ]
Altirkawi, Khalid A. [83 ]
Alvis-Guzman, Nelson [84 ]
Amare, Azmeraw T. [85 ,87 ]
机构
[1] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
[2] Univ Washington, Harborview Injury Prevent & Res Ctr, Seattle, WA 98195 USA
[3] Univ Washington, Dept Med, Div Hematol, Seattle, WA 98195 USA
[4] Univ Washington, Ctr Hlth Trends & Forecasts, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
[5] Univ Washington, Sch Dent, Seattle, WA 98195 USA
[6] Univ Washington, Seattle, WA 98195 USA
[7] Univ Oxford, Oxford Big Data Inst, Li Ka Shing Ctr Hlth Informat & Discovery, Oxford, England
[8] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England
[9] Univ Oxford, Nuffield Dept Med, Oxford, England
[10] Univ Oxford, NIHR Musculoskeletal Biomed Res Ctr, Oxford, England
[11] Univ Oxford, Oxford, England
[12] Univ Queensland, Sch Publ Hlth, Brisbane, Qld, Australia
[13] Univ Queensland, Sch Dent, Brisbane, Qld, Australia
[14] Univ Queensland, Brisbane, Qld, Australia
[15] Jimma Univ, Dept Epidemiol, Coll Hlth Sci, Jimma, Ethiopia
[16] Jimma Univ, Jimma, Ethiopia
[17] Univ Roma La Sapienza, Rome, Italy
[18] Virginia Tech, Blacksburg, VA USA
[19] Cairo Univ, Dept Neurol, Cairo, Egypt
[20] New York Univ Abu Dhabi, Abu Dhabi, U Arab Emirates
[21] Hawassa Univ, Coll Med & Hlth Sci, Hawassa, Ethiopia
[22] Mekelle Univ, Sch Publ Hlth, Mekelle, Ethiopia
[23] Mekelle Univ, Sch Pharm, Mekelle, Ethiopia
[24] Mekelle Univ, Coll Hlth Sci, Mekelle, Ethiopia
[25] Mekelle Univ, Mekelle, Ethiopia
[26] Univ Hohenheim, Food Secur & Inst Biol Chem & Nutr, Stuttgart, Germany
[27] Dupuytren Univ Hosp, Limoges, France
[28] Weill Cornell Med Coll Qatar, Infect Dis Epidemiol Grp, Doha, Qatar
[29] Monash Univ, Dept Epidemiol & Prevent Med, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
[30] Monash Univ, Dept Med, Sch Clin Sci Monash Hlth, Melbourne, Vic, Australia
[31] Monash Univ, Melbourne, Vic, Australia
[32] Stellenbosch Univ, Dept Psychiat, Cape Town, South Africa
[33] Stellenbosch Univ, Cape Town, South Africa
[34] Olabisi Onabanjo Univ, Ago Iwoye, Nigeria
[35] Sanjay Gandhi Postgrad Inst Med Sci, Lucknow, Uttar Pradesh, India
[36] Ctr Control Chron Condit, Gurugram, India
[37] Publ Hlth Fdn India, Gurugram, India
[38] CSIR, Inst Genom & Integrat Biol, Delhi, India
[39] Baylor Coll Med, Dept Internal Med, Houston, TX USA
[40] Lund Univ, Dept Clin Sci Lund, Orthoped Clin Epidemiol Unit, Lund, Sweden
[41] Lund Univ, Skane Univ Hosp, Dept Clin Sci Lund, Neurol, Lund, Sweden
[42] Univ Ferhat Abbas Setif, Setif, Algeria
[43] Natl Inst Nursing Educ, Setif, Algeria
[44] High Natl Sch Vet Med, Algiers, Algeria
[45] Univ Alabama Birmingham, Dept Epidemiol, Birmingham, AL USA
[46] Univ Alabama Birmingham, Birmingham, AL USA
[47] Hosp Sick Children, Ctr Global Child Hlth, Toronto, ON, Canada
[48] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
[49] Univ Toronto, Dept Nutr Sci, Fac Med, Toronto, ON, Canada
[50] Univ Toronto, Ctr Addict & Mental Hlth, Toronto, ON, Canada
关键词
PLASMODIUM-FALCIPARUM; MORTALITY; AFRICA; HIV; EPIDEMIOLOGY; ASSOCIATION; PREVALENCE; TRANSITION; THERAPY; WEIGHTS;
D O I
10.1016/S0140-6736(17)32130-X
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 differed 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 offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five 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 offset 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 efforts, and development assistance for health, including financial 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. Copyright (C) The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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页码:1260 / 1344
页数:85
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