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The State of US Health, 1990-2016

Overview of attention for article published in JAMA: Journal of the American Medical Association, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

107 news outlets
12 blogs
1583 tweeters
21 Facebook pages
5 Google+ users


356 Dimensions

Readers on

535 Mendeley
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The State of US Health, 1990-2016
Published in
JAMA: Journal of the American Medical Association, April 2018
DOI 10.1001/jama.2018.0158
Pubmed ID

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


Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state. 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. A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year. 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. 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). 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.

Twitter Demographics

The data shown below were collected from the profiles of 1,583 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 535 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Netherlands 1 <1%
United States 1 <1%
Unknown 532 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 85 16%
Researcher 84 16%
Student > Master 68 13%
Student > Doctoral Student 54 10%
Student > Bachelor 33 6%
Other 120 22%
Unknown 91 17%
Readers by discipline Count As %
Medicine and Dentistry 149 28%
Nursing and Health Professions 59 11%
Social Sciences 37 7%
Psychology 29 5%
Agricultural and Biological Sciences 20 4%
Other 100 19%
Unknown 141 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 1984. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2020.
All research outputs
of 15,942,213 outputs
Outputs from JAMA: Journal of the American Medical Association
of 28,197 outputs
Outputs of similar age
of 281,489 outputs
Outputs of similar age from JAMA: Journal of the American Medical Association
of 406 outputs
Altmetric has tracked 15,942,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,197 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.5. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 281,489 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 406 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.