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. Author manuscript; available in PMC: 2015 Jul 1.
Published in final edited form as: Health Psychol. 2014 Oct 13;34(7):718–728. doi: 10.1037/hea0000159

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.

a

Based on comparisons between survey completers versus noncompleters.

b

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).