Table 3. Bivariate Analysis to Determine Predictors of Aspirin Use Among Men Aged 45 to 79 Years With at Least One Risk Factor for Myocardial Infarction in North Carolina (n = 1,182), BRFSS, 2013.
Predictor | na | Weightedb Prevalence (%) of Aspirin Use (95% CI) | Prevalence Ratio (95% CI) | P Valuec |
---|---|---|---|---|
Age, y | ||||
45–54 | 334 | 38.8 (32.1–45.5) | 1.0 [Reference] | .03 |
55–64 | 433 | 47.3 (41.5–53.2) | 1.22 (0.98–1.50) | |
65–74 | 324 | 52.2 (45.0–59.3) | 1.34 (1.08–1.67) | |
75–79 | 91 | 43.6 (30.7–56.6) | 1.12 (0.80–1.58) | |
Race/ethnicity | ||||
White non-Hispanic | 830 | 53.1 (46.7–59.5) | 1.0 [Reference] | .22 |
Black non-Hispanic | 205 | 47.8 (34.3–61.2) | 0.90 (0.66–1.22) | |
Hispanic | 39 | 30.6 (9.0–52.1) | 0.57 (0.28–1.17) | |
Other non-Hispanic | 96 | 58.5 (35.8–81.2) | 1.10 (0.73–1.65) | |
Education | ||||
Less than high school | 153 | 42.9 (29.0–56.7) | 1.0 [Reference] | .81 |
High school | 353 | 56.4 (46.8–66.0) | 1.32 (0.91–1.89) | |
More than high school | 674 | 51.4 (44.0–58.8) | 1.20 (0.84–1.71) | |
General health status | ||||
Fair or poor | 272 | 47.2 (39.8–54.7) | 1.0 [Reference] | .47 |
Good, very good, or excellent | 905 | 44.1 (39.8–48.4) | 0.93 (0.77–1.12) | |
Health insurance coverage | ||||
No coverage at all | 141 | 36.2 (26.6–45.7) | 1.0 [Reference] | .06 |
Some kind of coverage | 1,036 | 46.2 (42.2–50.2) | 1.28 (0.97–1.68) | |
Limited healthcare access due to cost | ||||
No | 1,039 | 44.5 (40.5–48.5) | 1.0 [Reference] | .71 |
Yes | 139 | 46.5 (36.3–56.8) | 1.05 (0.82–1.33) | |
Last routine medical checkup | ||||
A year or more ago | 208 | 40.4 (32.1–48.7) | 1.0 [Reference] | .23 |
Within the last 12 months | 961 | 46.2 (42.0–50.4) | 1.14 (0.91–1.43) | |
Body mass index, kg/m2 | ||||
Normal weight (18.0–24.9) | 215 | 43.2 (30.5–55.9) | 1.0 [Reference] | .33 |
Overweight (25.0–29.9) | 539 | 50.3 (42.3–58.2) | 1.16 (0.83–1.62) | |
Obese (≥30.0) | 400 | 56.5 (47.3–65.8) | 1.31 (0.93–1.83) |
Abbreviations: BRFSS, Behavioral Risk Factor Surveillance System; CI, confidence interval.
Totals for some subcategories do not add to overall sample size (1,564) because of missing data
Prevalence estimates are weighted to the overall population of men aged 45 to 79 in North Carolina using precalculated complex weight variables that are included in the BRFSS dataset.
P value for Pearson design–based F statistic obtained from survey-weighted cross tabulation of aspirin use and potential predictors.