Table 1.
Gender | |
Male | 30% |
Female | 70% |
Age | |
18–29 | 9% |
30–39 | 13% |
40–49 | 20% |
50–64 | 36% |
65+ | 23% |
Education | |
Less than high school | 8% |
High school | 20% |
Some college | 28% |
College graduate or beyond | 44% |
Race | |
White/Caucasian | 76% |
Black/African American | 16% |
Asian American | 2% |
American Indian | 2% |
Other | 4% |
Religious affiliation | |
Protestant | 48% |
Catholic | 14% |
Baptist | 12% |
Mormon | 6% |
Jewish | 3% |
Other | 3% |
None | 9% |
Household income previous year (USD) | |
<20,000 | 18% |
20,000–39,999 | 22% |
40,000–59,999 | 18% |
60,000–79,999 | 10% |
≥80,000 | 23% |
Not reported | 9% |
Have a serious or chronic medical condition | |
Yes | 61% |
No | 39% |
Would not allow a sample to be used for future genetic research under any circumstances | <1%∗ |
This represents the 80 participants not in our sub-sample for the analysis reported in this paper, yielding a sample n = 1,113. A chi-squared test confirmed that there were no significant demographic differences between these two samples.