Table 3.
Coronary Heart Disease and/or Stroke n=3,068 Adjusted prevalence ratio (95% CI) | Coronary Heart Disease Only n=2,007 Adjusted prevalence ratio (95% CI) | |
---|---|---|
Age (years) | ||
40–64 | 0.89 (0.82–0.96) | 0.87 (0.80–0.95) |
≥65 | Reference | Reference |
| ||
Sex | ||
Men | Reference | Reference |
Women | 0.91 (0.85–0.97) | 0.90 (0.84–0.98) |
| ||
Race | ||
NH-White | Reference | Reference |
NH-Black | 0.91 (0.83–0.99) | 0.88 (0.78–0.99) |
Hispanics | 0.83 (0.72–0.95) | 0.84 (0.72–0.97) |
Others | 0.90 (0.78–1.05) | 1.05 (0.94–1.18) |
| ||
Education | ||
<High school | Reference | Reference |
High school | 0.96 (0.88–1.05) | 0.97 (0.88–1.07) |
Some college | 0.97 (0.88–1.05) | 0.99 (0.90–1.09) |
≥College | 1.08 (0.99–1.18) | 1.07 (0.96–1.18) |
| ||
BMI | ||
Normal | Reference | Reference |
Overweight | 1.07 (0.99–1.16) | 1.11 (1.00–1.23) |
Obesity | 1.07 (0.99–1.15) | 1.12 (1.01–1.23) |
| ||
Have Insurance | ||
Yes | Reference | Reference |
No | 0.92 (0.79–1.07) | 0.87 (0.74–1.03) |
| ||
Ulcer | ||
Yes | Reference | Reference |
No | 0.97 (0.89–1.04) | 0.97 (0.88–1.06) |
| ||
Arthitis3 | ||
Yes | Reference | Reference |
No | 0.99 (0.92–1.06) | 1.00 (0.93–1.08) |
| ||
Number of risk factors4 | ||
0 | Reference | Reference |
1 | 1.13 (0.96–1.34) | 1.09 (0.91–1.31) |
2 | 1.23 (1.05–1.43) | 1.19 (1.00–1.41) |
3 | 1.36 (1.15–1.60) | 1.26 (1.05–1.53) |
4 | 1.50 (1.28–1.77) | 1.42 (1.18–1.71) |
| ||
Number of risk factor5 odds ratio for linear trend | 1.39 (1.23–1.57) | 1.33 (1.16–1.54 |
An adult's eligibility to take low-dose aspirin is determined by either having been told by a health professional that s/he have coronary heart disease and/or stroke, or having been told by a health professional that s/he has coronary heart disease.
Data source: CDC/NCHS, National Health Interview Survey, 20121. All covariates were in the models simultaneously
Arthritis included arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia
Tested for a linear trend in the relationship between cardiovascular risk and aspirin use by substituting the number of risk factors as a continuous variable in the model
Tested for a linear trend in the relationship between cardiovascular risk and aspirin use by substituting the number of risk factors as a continuous variable in the model