Changes in the Geographic Patterns of Heart Disease Mortality in the United States 1973 to 2010
被引:76
作者:
Casper, Michele
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Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USACtr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Casper, Michele
[1
]
Kramer, Michael R.
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Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Emory Univ, Dept Epidemiol, Rollins Sch Publ Hlth, Atlanta, GA 30322 USACtr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Kramer, Michael R.
[1
,2
]
Quick, Harrison
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Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USACtr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Quick, Harrison
[1
]
Schieb, Linda J.
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Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USACtr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Schieb, Linda J.
[1
]
Vaughan, Adam S.
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机构:
Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Emory Univ, Dept Epidemiol, Rollins Sch Publ Hlth, Atlanta, GA 30322 USACtr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Vaughan, Adam S.
[1
,2
]
Greer, Sophia
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机构:
Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USACtr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
Greer, Sophia
[1
]
机构:
[1] Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA USA
[2] Emory Univ, Dept Epidemiol, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA
Background- Although many studies have documented the dramatic declines in heart disease mortality in the United States at the national level, little attention has been given to the temporal changes in the geographic patterns of heart disease mortality. Methods and Results- Age-adjusted and spatially smoothed county-level heart disease death rates were calculated for 2-year intervals from 1973 to 1974 to 2009 to 2010 for those aged >= 35 years. Heart disease deaths were defined according to the International Classification of Diseases codes for diseases of the heart in the eighth, ninth, and tenth revisions of the International Classification of Diseases. A fully Bayesian spatiotemporal model was used to produce precise rate estimates, even in counties with small populations. A substantial shift in the concentration of high-rate counties from the Northeast to the Deep South was observed, along with a concentration of slow-decline counties in the South and a nearly 2-fold increase in the geographic inequality among counties. Conclusions- The dramatic change in the geographic patterns of heart disease mortality during 40 years highlights the importance of small-area surveillance to reveal patterns that are hidden at the national level, gives communities the historical context for understanding their current burden of heart disease, and provides important clues for understanding the determinants of the geographic disparities in heart disease mortality.
机构:
Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USAArizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USA
Rogerson, Peter
Yang, Jue
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Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USA
Univ Georgia, Dept Geog, Athens, GA 30602 USAArizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USA
Yang, Jue
Bagchi-Sen, Sharmistha
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Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USAArizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85281 USA