The correspondence between coronary heart disease mortality and risk factor prevalence among states in the United States, 1991-1992.
OBJECTIVE
This study aimed to examine the correspondence between seven established risk factors for coronary heart disease (CHD) and CHD mortality among the states in the United States. An ecologic analysis relating CHD risk factor prevalences to CHD mortality rates among 49 states was undertaken in 1991-1992.


METHODS
Approximately 68,000 men and women ages 45-74 were randomly sampled and interviewed by telephone in surveys conducted in 49 states in 1991 and 1992. From these interviews, we estimated state-specific prevalences of smoking, overweight, physical inactivity, hypertension, elevated cholesterol, diabetes, and alcohol abstinence. These seven CHD risk factors were also combined to create a CHD risk index for each state. The main outcome measures were mortality rates from CHD (ICD9 codes 410.0-414.9) in each of 49 states in 1991-1992 for men and women ages 45-74. The analysis was based on multiple linear regression and Spearman's rank-order correlations between the CHD risk factor prevalences, the combined CHD risk index, and the CHD mortality rates among the 49 states.


RESULTS
The prevalences of most of the CHD risk factors correlated with CHD mortality rates in the expected directions, and correlations were similar for men and women. The CHD risk index correlated strongly with CHD mortality for both men (r = 0.75) and women (r = 0.80).


CONCLUSIONS
About 60% of the variance in CHD mortality between the states in the United States (56% for men and 64% for women) is attributable to differences between the states in the prevalences of seven established risk factors for CHD. As state health agencies prioritize resources for chronic disease prevention programs, they should consider the potential benefits of increased efforts to reduce the prevalences of modifiable CHD risk factors in their populations to reduce CHD mortality.
Byers
T
T
University of Colorado School of Medicine, Denver, Colorado 80262, USA.
Anda
R
R
McQueen
D
D
Williamson
D
D
Mokdad
A
A
Casper
M
M
Ford
E
E
Marks
J
J
D000368:Aged; D000704:Analysis of Variance; D003327:Coronary Disease / Q000401:mortality* / Q000517:prevention & control; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012306:Risk; D012307:Risk Factors; D012737:Sex Factors; D014481:United States / Q000453:epidemiology