Table 3.
Multivariable analysis modeling non-responders (N = 627).
Non-responder | ||
Variable | RR (95% CI) | P |
Age group, % | ||
<60 | REF | – |
60–69 | 1.49 (0.74, 2.99) | .27 |
≥70 | 1.49 (0.62, 3.59) | .38 |
Gender, % | ||
Male | REF | – |
Female | 0.93 (0.50, 1.71) | .80 |
Race, % | ||
Latinx | 3.46 (1.19, 10.1) | .02 |
White | REF | – |
Black | 5.49 (2.19, 13.8) | <.001 |
Living below poverty level, % | ||
No | REF | – |
Yes | 1.01 (0.53, 1.96) | .97 |
Health literacy, % | ||
Low | 1.95 (0.90, 4.21) | .09 |
Marginal | 1.18 (0.52, 2.66) | .69 |
Adequate | REF | – |
Employment status | ||
Not working | REF | |
Working for pay | 0.96 (0.47, 1.95) | .91 |
Primary care setting, % | ||
AMC | REF | – |
FQHC | 2.33 (0.72, 7.58) | .16 |
Parent study, % | ||
Study 1 | REF | – |
Study 2 | 0.26 (0.07, 1.00) | .05 |
Study 3 | 0.31 (0.08, 1.18) | .09 |
Study 4 | 1.17 (0.27, 5.05) | .83 |
Study 5 | 0.52 (0.20, 1.35) | .18 |
Bolded values are significant at the P < 0.05 level.