Table 1.
Demographic Characteristics of Baseline Survey Completers Analyzed in the Present Study and Survey Noncompleters, and Comparisons Between These Participants
| Demographic characteristics | Survey completers (n = 496)
|
Survey noncompleters (n = 466)
|
χ2 and p valuea | ||
|---|---|---|---|---|---|
| n | % | n | % | ||
| Ethnicity/race | |||||
| White | 458 | 92.3 | 385 | 82.6 | χ2(1) = 18.36, p < .001 |
| Not white | 38 | 7.7 | 77 | 16.5 | |
| Missing | 0 | 0 | 4 | .009 | |
| Age in years at time of survey | |||||
| 45–49 | 19 | 3.8 | 25 | 5.4 | χ2(5) = 6.77, p < .239 |
| 50–54 | 72 | 14.5 | 64 | 13.7 | |
| 55–59 | 109 | 22.0 | 112 | 24.0 | |
| 60–64 | 164 | 33.1 | 141 | 30.3 | |
| 65–69 | 127 | 25.6 | 111 | 23.8 | |
| 70+ | 5 | 1.0 | 13 | 2.8 | |
| Heart disease riskb | |||||
| 1–3 | 396 | 79.8 | 366 | 78.5 | χ2(1) = 0.25, p < .620 |
| 4 | 100 | 20.2 | 100 | 21.5 | |
| Education | |||||
| College graduate and higher | 443 | 89.3 | 350 | 75.1 | χ2(1) = 7.88, p < .005 |
| Less than college graduate | 53 | 10.7 | 72 | 15.5 | |
| Missing | 0 | 0 | 44 | 9.4 | |
| Income | |||||
| More than $100,000 | 388 | 78.2 | 281 | 60.3 | χ2(1) = 7.13, p < .008 |
| $100,000 or less | 108 | 21.8 | 118 | 25.3 | |
| Missing | 0 | 0 | 67 | 14.4 | |
| Gender | |||||
| Male | 283 | 57.1 | 218 | 46.8 | χ2(1) = 10.17, p < .001 |
| Female | 213 | 42.9 | 248 | 53.2 | |
Note. Chi-square values were calculated excluding cells with missing data. All factors reported in this table were included as covariates in the primary regression analyses.
Based on comparisons between survey completers versus noncompleters.
Values are based on Framingham risk scores for developing coronary artery disease in the next 10 years (1 = less than 5% risk, 2 = 5% to 10% risk, 3 = greater than 10% risk, 4 = history of coronary artery disease).