Literature DB >> 16389119

Eight Americas: new perspectives on U.S. health disparities.

Christopher J L Murray1, Sandeep Kulkarni, Majid Ezzati.   

Abstract

The Eight Americas Study divides the U.S. population into eight distinct groups with different epidemiologic patterns and mortality experience. The Eight Americas are Asians (America 1), below-median-income whites living in the Northland (America 2), middle America (America 3), poor whites living in Appalachia and the Mississippi Valley (America 4), Native Americans living on reservations in the West (America 5), black middle-America (America 6), poor blacks living in the rural South (America 7), and blacks living in high-risk urban environments (America 8). Life expectancy for males in America 8 is 21 years lower than life expectancy for females in America 1. For males, the gap between America 1 and America 8, 16.1 years, is as large as the gap between Iceland with the highest male life expectancy in the world and Bangladesh. Even in Americas 5, 6, 7, and 8, U.S. child mortality is in the middle of the range defined by the Organization of Economic Cooperation and Development (OECD) countries. For young and middle-aged males and females, however, mortality experience in the disadvantaged Americas is up to two times worse than the worst OECD country. The enormous excess of young and middle-aged mortality is largely due to chronic disease death. Based on the World Health Organization Comparative Risk Assessment project, we expect the major risks in the United States to be tobacco, alcohol, obesity, blood pressure, and cholesterol. Risk factor analysis using Behavioral Risk Factor Surveillance System data for the Eight Americas suggests that the pattern for tobacco, alcohol, and obesity is distinct for each America. Currently available data in the public domain do not provide an adequate basis to assess levels of blood pressure and cholesterol in the Eight Americas. To tackle disparities in the United States, public health will need to increase its focus on chronic diseases in young and middle-aged Americans. In particular, if blood pressure and cholesterol are confirmed as major contributors to current mortality patterns, innovative strategies such as the Polypill and unique individual and population approaches need to be explored.

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Year:  2005        PMID: 16389119     DOI: 10.1016/j.amepre.2005.07.031

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  40 in total

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2.  Residential property values are associated with obesity among women in King County, WA, USA.

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Journal:  Soc Sci Med       Date:  2012-04-26       Impact factor: 4.634

3.  To reduce urban disparities in health, strengthen and enforce equitably environmental and consumer laws.

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Journal:  J Urban Health       Date:  2009-11       Impact factor: 3.671

4.  Mortality from heart, respiratory, and kidney disease in coal mining areas of Appalachia.

Authors:  Michael Hendryx
Journal:  Int Arch Occup Environ Health       Date:  2008-05-07       Impact factor: 3.015

5.  Silence Surrounding Hepatitis C Status in Risk Relationships Among Rural People Who Use Drugs.

Authors:  Megan G Hofmeister; Jennifer R Havens; April M Young
Journal:  J Prim Prev       Date:  2017-10

6.  Pinpointing the sources of the Asian mortality advantage in the USA.

Authors:  Francesco Acciai; Aggie J Noah; Glenn Firebaugh
Journal:  J Epidemiol Community Health       Date:  2015-06-01       Impact factor: 3.710

Review 7.  Social determinants of type 2 diabetes and health in the United States.

Authors:  Myra L Clark; Sharon W Utz
Journal:  World J Diabetes       Date:  2014-06-15

8.  Appalachian versus non-Appalachian U.S. traffic fatalities, 2008-2010.

Authors:  Motao Zhu; Songzhu Zhao; Kelly K Gurka; Sahiti Kandati; Jeffrey H Coben
Journal:  Ann Epidemiol       Date:  2013-04-23       Impact factor: 3.797

9.  Comparing population health in the United States and Canada.

Authors:  David Feeny; Mark S Kaplan; Nathalie Huguet; Bentson H McFarland
Journal:  Popul Health Metr       Date:  2010-04-29

10.  What can we conclude from death registration? Improved methods for evaluating completeness.

Authors:  Christopher J L Murray; Julie Knoll Rajaratnam; Jacob Marcus; Thomas Laakso; Alan D Lopez
Journal:  PLoS Med       Date:  2010-04-13       Impact factor: 11.069

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