Table 3.
Non-numeric Formats | ||||
---|---|---|---|---|
Numeric Formats (n=610) | Non-Numeric Formats (n=295) | CMI List (n=155) | Label Only (n=140) | |
Gender (% female) | 59.0% | 62.4% | 61.9% | 62.9% |
Mean Age in Years (SD) | 54.9 (13.6) | 54.5 (12.9) | 54.3 (12.6) | 54.8 (13.3) |
Education (% Associate degree or less)* | 51.6% | 54.6% | 57.4% | 51.4% |
Mean Household Income (SD) (11 = $40,000 to $49,999, 12 = $50,000 to $59,999)** | 11.5 (3.0) | 11.5 (3.2) | 11.3 (3.4) | 11.7 (3.1) |
Use of Statins (% Yes) | 39.5% | 39.3% | 36.8% | 42.1% |
Ethnicity (% White) | 91.5% | 89.5% | 89.7% | 89.3% |
Mean Numeracy (SD) *** | 4.1 (1.8) | 4.1 (1.8) | 4.0 (1.8) | 4.2 (1.7) |
We also compared mean values for the more detailed education categories collected. These original education categories ranged from 1 = less than first grade to 16 = doctorate degree. Respective means (SD) in the four columns above were 11.7 (2.1), 11.7 (2.1), 11.6 (2.1), and 11.8 (2.0). No significant differences emerged.
Income categories range from 1, less than $5,000, to 14, more than $75,000. Income groupings in Table 2 are aggregates of the more detailed categories that are reported here.
The numeracy scale consists of 8 items. The distribution covered the full possible range of 0–8 and did not vary significantly from a normal distribution. The percentage of respondents receiving each possible score is as follows: 0 correct = 2%, 1 = 4%, 2 = 14%, 3 = 18%, 4 = 20%, 5 = 17%, 6 = 13%, 7 = 8%, 8 correct = 3%.