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. 2018 Apr 10;319(14):1444-1472.
doi: 10.1001/jama.2018.0158.

The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States

US Burden of Disease CollaboratorsAli H Mokdad  1 Katherine Ballestros  1 Michelle Echko  1 Scott Glenn  1 Helen E Olsen  1 Erin Mullany  1 Alex Lee  1 Abdur Rahman Khan  2 Alireza Ahmadi  3   4 Alize J Ferrari  1   5   6 Amir Kasaeian  7 Andrea Werdecker  8 Austin Carter  1 Ben Zipkin  1 Benn Sartorius  9   10 Berrin Serdar  11 Bryan L Sykes  12 Chris Troeger  1 Christina Fitzmaurice  1   13 Colin D Rehm  14 Damian Santomauro  1   5   6 Daniel Kim  15 Danny Colombara  1 David C Schwebel  16 Derrick Tsoi  1 Dhaval Kolte  17 Elaine Nsoesie  1 Emma Nichols  1 Eyal Oren  18 Fiona J Charlson  1   5   6 George C Patton  19 Gregory A Roth  1 H Dean Hosgood  20 Harvey A Whiteford  1   5   6 Hmwe Kyu  1 Holly E Erskine  1   5   6 Hsiang Huang  21 Ira Martopullo  1 Jasvinder A Singh  16 Jean B Nachega  22   23   24 Juan R Sanabria  25   26 Kaja Abbas  27 Kanyin Ong  1 Karen Tabb  28 Kristopher J Krohn  1 Leslie Cornaby  1 Louisa Degenhardt  1   29 Mark Moses  1 Maryam Farvid  30   31 Max Griswold  1 Michael Criqui  32 Michelle Bell  33 Minh Nguyen  1 Mitch Wallin  34   35 Mojde Mirarefin  1   36 Mostafa Qorbani  37 Mustafa Younis  38 Nancy Fullman  1 Patrick Liu  1 Paul Briant  1 Philimon Gona  39 Rasmus Havmoller  4 Ricky Leung  40 Ruth Kimokoti  41 Shahrzad Bazargan-Hejazi  42   43 Simon I Hay  1   44 Simon Yadgir  1 Stan Biryukov  1 Stein Emil Vollset  1   45 Tahiya Alam  1 Tahvi Frank  1 Talha Farid  2 Ted Miller  46   47 Theo Vos  1 Till Bärnighausen  48   49   50 Tsegaye Telwelde Gebrehiwot  51 Yuichiro Yano  52 Ziyad Al-Aly  53 Alem Mehari  54 Alexis Handal  55 Amit Kandel  56 Ben Anderson  57 Brian Biroscak  33   58 Dariush Mozaffarian  59 E Ray Dorsey  60 Eric L Ding  30 Eun-Kee Park  61 Gregory Wagner  62 Guoqing Hu  63 Honglei Chen  64 Jacob E Sunshine  57 Jagdish Khubchandani  65 Janet Leasher  66 Janni Leung  57   5 Joshua Salomon  48 Jurgen Unutzer  57 Leah Cahill  30   67 Leslie Cooper  68 Masako Horino  69 Michael Brauer  1   70 Nicholas Breitborde  71 Peter Hotez  72 Roman Topor-Madry  73   74 Samir Soneji  75 Saverio Stranges  76   77 Spencer James  1 Stephen Amrock  78 Sudha Jayaraman  79 Tejas Patel  80 Tomi Akinyemiju  16 Vegard Skirbekk  81   82 Yohannes Kinfu  83 Zulfiqar Bhutta  84   85 Jost B Jonas  86 Christopher J L Murray  1
Affiliations

The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States

US Burden of Disease Collaborators et al. JAMA. .

Abstract

Introduction: Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state.

Objective: To use the results of the Global Burden of Disease Study (GBD) to report trends in the burden of diseases, injuries, and risk factors at the state level from 1990 to 2016.

Design and setting: A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year.

Main outcomes and measures: Prevalence, incidence, mortality, life expectancy, healthy life expectancy (HALE), years of life lost (YLLs) due to premature mortality, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 333 causes and 84 risk factors with 95% uncertainty intervals (UIs) were computed.

Results: Between 1990 and 2016, overall death rates in the United States declined from 745.2 (95% UI, 740.6 to 749.8) per 100 000 persons to 578.0 (95% UI, 569.4 to 587.1) per 100 000 persons. The probability of death among adults aged 20 to 55 years declined in 31 states and Washington, DC from 1990 to 2016. In 2016, Hawaii had the highest life expectancy at birth (81.3 years) and Mississippi had the lowest (74.7 years), a 6.6-year difference. Minnesota had the highest HALE at birth (70.3 years), and West Virginia had the lowest (63.8 years), a 6.5-year difference. The leading causes of DALYs in the United States for 1990 and 2016 were ischemic heart disease and lung cancer, while the third leading cause in 1990 was low back pain, and the third leading cause in 2016 was chronic obstructive pulmonary disease. Opioid use disorders moved from the 11th leading cause of DALYs in 1990 to the 7th leading cause in 2016, representing a 74.5% (95% UI, 42.8% to 93.9%) change. In 2016, each of the following 6 risks individually accounted for more than 5% of risk-attributable DALYs: tobacco consumption, high body mass index (BMI), poor diet, alcohol and drug use, high fasting plasma glucose, and high blood pressure. Across all US states, the top risk factors in terms of attributable DALYs were due to 1 of the 3 following causes: tobacco consumption (32 states), high BMI (10 states), or alcohol and drug use (8 states).

Conclusions and relevance: There are wide differences in the burden of disease at the state level. Specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention. These data can be used to inform national health priorities for research, clinical care, and policy.

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Conflict of interest statement

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Dr Singh reports receipt of grants and personal fees from Savient, Takeda, and Crealta/Horizon; personal fees from Regeneron, Merz, Iroko, Bioiberica, Allergan, UBM LLC, WebMD, and the American College of Rheumatology during the conduct of the study; personal fees from DINORA; and nonfinancial support from Outcomes Measures in Rheumatology outside the submitted work. Dr Degenhardt reports receipt of grants from Mundipharma, Indivior, and Seqirus outside the submitted work. Dr Bell reports receipt of grants from the US Environmental Protection Agency and the National Institutes of Health (NIH) during the conduct of the study, and honorarium and/or travel reimbursement from NIH, the American Journal of Public Health, Columbia University, Washington University, Statistical Methods and Analysis of Environmental Health Data Workshop, North Carolina State University, and Global Research Laboratory and Seoul National University. Dr Mozaffarian reports receipt of personal fees from Acasti Pharma, GOED, DSM, Haas Avocado Board, Nutrition Impact, Pollock Communications, Boston Heart Diagnostics, and Bunge; other for serving on a scientific advisory board from Omada Health and Elysium Health; a grant from NIH and the National Heart, Lung, and Blood Institute; a grant from the Bill and Melinda Gates Foundation; and royalties from UpToDate outside the submitted work.

Figures

Figure 1.
Figure 1.. Top 25 Causes of Disability-Adjusted Life-Years (DALYs) and % Change in Number of DALYs, All-Age DALYs, and Age-Standardized DALYs, 1990-2016
Dotted lines: a leading cause has decreased in rank between 1990 and 2016; solid lines, a cause has maintained or ascended to a higher ranking. Causes in white boxes were not among the top 25 in either 1990 or in 2016. COPD, indicates chronic obstructive pulmonary disease. aIncludes tracheal, bronchus, and lung cancer. bIndicates HIV/AIDS resulting in other diseases. cIndicates chronic kidney disease (CKD) due to diabetes.
Figure 2.
Figure 2.. Number of Deaths and Percentage of Disability-Adjusted Life-Years Related to the 17 Leading Risk Factors in the United States, 2016
Negative values (where bars extend left of zero) indicate a protective effect.
Figure 3.
Figure 3.. Change in the Probability of Death Between Birth and Age 20 Years, 1990-2016, Reported Showing Major Causes of Death for the United States Overall and the 50 States
States are listed in descending order according to probability of death in 2016. Data for Washington, DC, were not included in this analysis.
Figure 4.
Figure 4.. Change in the Probability of Death Between Ages 20 and 55 Years, 1990-2016, Reported Showing Major Causes of Death for the United States Overall and the 50 States
States are listed in descending order according to probability of death in 2016. Data for Washington, DC, were not included in this analysis.
Figure 5.
Figure 5.. Change in the Probability of Death Between Ages 55 and 90 Years, 1990-2016, Reported Showing Major Causes of Death for the United States Overall and the 50 States
States are listed in descending order according to probability of death in 2016. Data for Washington, DC, were not included in this analysis.
Figure 6.
Figure 6.. Age-Standardized Rates of Years of Life Lost per 100 000 Persons for the 20 Leading Causes of Years of Life Lost in 2016 for the United States Overall, the 50 States, and the District of Columbia
Boxes are colored green if significantly less than the US rate (P <.05), red if significantly more than the US rate (P <.05), and yellow if not significantly different from the US rate (P ≥.05).
Figure 7.
Figure 7.. Ratio of Observed Years of Life Lost (YLLs) to Expected YLLs Based on the Sodiodemographic Index (SDI) for the United States Overall, the 50 States, and the District of Columbia in 2016 for the 10 Leading Causes in Each Jurisdiction
Ratio details: Alabama’s, stroke ratio (eg, 1.0 [observed and expected rates were similar]; diabetes [2.85 × above expected]). See Appendix Table 2 in Supplement 2 for explanation of terms.
Figure 8.
Figure 8.. Ratio of Observed Years Lived With Disability (YLDs) to Expected YLDs Based on the Sociodemographic Index (SDI) for the United States Overall, the 50 States, and the District of Columbia in 2016 for the 10 Leading Causes in Each Jurisdiction
See Figure 7 caption for details. See Appendix Table 2 in Supplement 2 for explanation of terms.
Figure 9.
Figure 9.. Ratio of Observed Disability-Adjusted Life-Years (DALYs) to Expected DALYs Based on the Sociodemographic Index (SDI) for the United States Overall, the 50 States, and the District of Columbia in 2016 for the 10 Leading Causes in Each Jurisdiction
See Figure 7 caption for details. See Appendix Table 2 in Supplement 2 for explanation of terms.
Figure 10.
Figure 10.. Ranking of Risk Factors in 2016 for the United States Overall, the 50 States, and the District of Columbia According to the Number of Disability-Adjusted Life-Years Related to Each Risk Factor

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