Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013: quantifying the epidemiological transition

被引:1330
作者
Murray, Christopher J. L. [1 ]
Barber, Ryan M. [1 ]
Foreman, Kyle J. [1 ,6 ]
Ozgoren, Ayse Abbasoglu [7 ]
Abd-Allah, Foad [9 ]
Abera, Semaw F. [10 ,11 ]
Aboyans, Victor [12 ]
Abraham, Jerry P. [13 ,14 ,16 ]
Abubakar, Ibrahim
Abu-Raddad, Laith J. [19 ]
Abu-Rmeileh, Niveen M. [20 ]
Achoki, Tom [1 ]
Ackerman, Ilana N. [24 ]
Ademi, Zanfina [24 ,25 ,27 ]
Adou, Arsene K. [28 ]
Adsuar, Jose C. [29 ]
Afshin, Ashkan [1 ,30 ]
Agardh, Emilie E. [32 ]
Alam, Sayed Saidul [33 ]
Alasfoor, Deena [34 ]
Albittar, Mohammed I.
Alegretti, Miguel A. [35 ]
Alemu, Zewdie A. [37 ]
Alfonso-Cristancho, Rafael [4 ]
Alhabib, Samia [38 ]
Ali, Raghib [40 ]
Alla, Francois [42 ]
Allebeck, Peter [43 ]
Almazroa, Mohammad A. [48 ]
Alsharif, Ubai [49 ]
Alvarez, Elena [50 ]
Alvis-Guzman, Nelson [51 ]
Amare, Azmeraw T. [52 ,54 ]
Ameh, Emmanuel A. [55 ]
Amini, Heresh [25 ,56 ]
Ammar, Walid
Anderson, H. Ross [58 ]
Anderson, Benjamin O. [4 ]
Antonio, Carl Abelardo T. [59 ]
Anwari, Palwasha
Arnlov, Johan [61 ,62 ]
Arsenijevic, Valentina S. Arsic [63 ,64 ]
Artaman, Al
Asghar, Rana J. [65 ]
Assadi, Reza [66 ]
Atkins, Lydia S. [67 ]
Avila, Marco A. [68 ]
Awuah, Baffour [69 ]
Bachman, Victoria F. [1 ]
Badawi, Alaa [70 ]
机构
[1] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98121 USA
[2] Univ Washington, Harborview Injury Prevent & Res Ctr, Seattle, WA 98195 USA
[3] Univ Washington, Seattle Childrens Hosp, Seattle, WA 98195 USA
[4] Univ Washington, Seattle, WA 98195 USA
[5] Univ London Imperial Coll Sci Technol & Med, Dept Infect Dis Epidemiol, London, England
[6] Univ London Imperial Coll Sci Technol & Med, London, England
[7] Hacettepe Univ, Inst Populat Studies, Ankara, Turkey
[8] Hacettepe Univ, Inst Publ Hlth, Ankara, Turkey
[9] Cairo Univ, Fac Med, Cairo, Egypt
[10] Mekelle Univ, Coll Hlth Sci, Sch Publ Hlth, Mekelle, Ethiopia
[11] Kilte Awlaelo Hlth & Demog Surveillance Site, Mekelle, Ethiopia
[12] Dupuytren Univ Hosp, Limoges, France
[13] Univ So Calif, Calif Hosp, Family Med Residency Program, Los Angeles, CA USA
[14] Harvard Univ, Inst Global Hlth, Boston, MA 02115 USA
[15] Harvard Univ, Dept Nutr, Boston, MA USA
[16] Harvard Univ, Sch Publ Hlth, Boston, MA 02115 USA
[17] Harvard Univ, Boston, MA 02115 USA
[18] UCL, Dept Epidemiol & Publ Hlth, London, England
[19] Weill Cornell Med Coll Ar Rayyan Qatar, Doha, Qatar
[20] Birzeit Univ, Inst Community & Publ Hlth, Ramallah, Palestine
[21] Univ Melbourne, Gen Practice & Primary Hlth Care Acad Ctr, Melbourne, Vic, Australia
[22] Univ Melbourne, Dept Med, Melbourne, Vic, Australia
[23] Univ Melbourne, Dept Florey, Melbourne, Vic, Australia
[24] Univ Melbourne, Melbourne, Vic, Australia
[25] Univ Basel, Basel, Switzerland
[26] Univ Basel, Swiss Trop & Publ Hlth Inst, Basel, Switzerland
[27] Univ Basel, Basel, Switzerland
[28] Assoc Ivoirienne Bien Etre Familial, Abidjan, Cote Ivoire
[29] Univ Extremadura, Caceres, Spain
[30] Tufts Univ, Friedman Sch Nutr Sci & Policy, Boston, MA 02111 USA
[31] Tufts Univ, Boston, MA 02111 USA
[32] Inst Publ Hlth Sci, Stockholm, Sweden
[33] Int Ctr Diarrhoeal Dis Res, Dhaka 1000, Bangladesh
[34] Minist Hlth, Al Khuwair, Oman
[35] Univ Republica, Fac Med, Dept Med Prevent & Social, Montevideo, Uruguay
[36] Univ Republica, Fac Med, Montevideo, Uruguay
[37] Debre Markos Univ, Addis Ababa, Ethiopia
[38] King Abdullah Bin Abdulaziz Univ Hosp, Riyadh, Saudi Arabia
[39] Univ Oxford, Dept Zool, Oxford, England
[40] Univ Oxford, Oxford, England
[41] Melbourne Hlth, Parkville, Vic, Australia
[42] Univ Lorraine, Sch Publ Hlth, Nancy, France
[43] Karolinska Inst, Dept Publ Hlth Sci, Stockholm, Sweden
[44] Karolinska Inst, Dept Neurobiol Care Sci & Soc NVS, Stockholm, Sweden
[45] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[46] Karolinska Inst, Aging Res Ctr, Stockholm, Sweden
[47] Karolinska Inst, Stockholm, Sweden
[48] Minist Hlth, Riyadh, Saudi Arabia
[49] Charite, D-13353 Berlin, Germany
[50] Govt, Madrid, Spain
基金
英国惠康基金; 英国医学研究理事会; 瑞士国家科学基金会; 高等学校博士学科点专项科研基金;
关键词
ACUTE MYOCARDIAL-INFARCTION; LOW SOCIOECONOMIC-STATUS; SYSTEMATIC ANALYSIS; NONCOMMUNICABLE DISEASES; CHANGING RELATION; MORTALITY TRENDS; EUROPEAN-UNION; RISK-FACTORS; BURDEN; INEQUALITIES;
D O I
10.1016/S0140-6736(15)61340-X
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6.2 years (95% UI 5.6-6.6), from 65.3 years (65.0-65.6) in 1990 to 71.5 years (71.0-71.9) in 2013, HALE at birth rose by 5.4 years (4.9-5.8), from 56.9 years (54.5-59.1) to 62.3 years (59.7-64.8), total DALYs fell by 3.6% (0.3-7.4), and age-standardised DALY rates per 100 000 people fell by 26.7% (24.6-29.1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition-in which increasing sociodemographic status brings structured change in disease burden-is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions.
引用
收藏
页码:2145 / 2191
页数:47
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