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The State of US Health, 1990-2016

Authors
Ali Mokdad,Katherine Ballestros
Michelle Echko,Scott Glenn,Helen Olsen,Erin Mullany,Alex Lee,Abdur Khan,Alireza Ahmadi,Alize Ferrari,Amir Kasaeian,Andrea Werdecker,Austin Carter,Ben Zipkin,Benn Sartorius,Berrin Serdar,Bryan Sykes,Chris Troeger,Christina Fitzmaurice,Colin Rehm,Damian Santomauro,Daniel Kim,Danny Colombara,Rafael Tabarés‐Seisdedos,Derrick Tsoi,Dhaval Kolte,Elaine Nsoesie,Emma Nichols,Eyal Oren,Fiona Charlson,George Patton,Gregory Roth,H. Hosgood,Harvey Whiteford,Hmwe Kyu,Holly Erskine,Hsiang Huang,Ira Martopullo,Jasvinder Singh,Jean Nachega,Juan Sanabria,Kaja Abbas,Sok Ong,Karen Tabb,Kristopher Krohn,Leslie Cornaby,Louisa Degenhardt,Mark Moses,Maryam Farvid,Max Griswold,Benjamin Cowie,Michelle Bell,Michele Nguyen,M. Wallin,Mojde Mirarefin,Mostafa Qorbani,Mustafa Younis,Nancy Fullman,Patrick Liu,Paul Briant,Philimon Gona,Rasmus Havmöller,Ricky Leung,Ruth Kimokoti,Shahrzad Bazargan‐Hejazi,Simon Hay,Simon Yadgir,Stan Biryukov,Stein Vollset,Tahiya Alam,Tahvi Frank,Talha Farid,Ted Miller,Theo Vos,Till Bärnighausen,Tsegaye Gebrehiwot,Yuichiro Yano,Ziyad Al‐Aly,Alem Mehari,Alexis Handal,Amit Kandel,Benjamin Anderson,Brian Biroscak,Dariush Mozaffarian,E. Dorsey,Eric Ding,Eun‐Kee Park,Gregory Wagner,Guoqing Hu,Honglei Chen,Jacob Sunshine,Jagdish Khubchandani,Janet Leasher,Janni Leung,Joshua Salomon,Jürgen Unützer,Leah Cahill,Leslie Cooper,Masako Horino,Michael Bräuer,Nicholas Breitborde,Peter Hotez,Roman Topór-Mądry,Samir Soneji,Saverio Stranges,Spencer James,Stephen Amrock,Sudha Jayaraman,Tejas Patel,Tomi Akinyemiju,Vegard Skirbekk,Yohannes Kinfu,Zulfiqar Bhutta,Jost Jonas,Christopher Murray
+113 authors
,Kanyin Ong
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Apr 10, 2018
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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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