Table 3.
Odds of willingness to participate in different types of research among HealthStreet participants aged 50+, by race/ethnicity (ref = non-Hispanic White), adjusted for sociodemographic factors (n = 4694)
| OR (95% CI) | p value | |
|---|---|---|
| Have you ever been in a health research study? | ||
| Non-Hispanic Black | 0.71 (0.61, 0.83) | < 0.0001 |
| Hispanic | 0.76 (0.53, 1.09) | 0.1292 |
| Would you volunteer for a research study: | ||
| that only asked questions about your health? | ||
| Non-Hispanic Black | 0.70 (0.52, 0.94) | 0.0191 |
| Hispanic | 0.83 (0.43, 1.62) | 0.5894 |
| If researchers wanted to see your medical records? | ||
| Non-Hispanic Black | 0.65 (0.53, 0.80) | < 0.0001 |
| Hispanic | 0.95 (0.59, 1.54) | 0.8297 |
| If you had to give a blood sample? | ||
| Non-Hispanic Black | 0.49 (0.39, 0.61) | < 0.0001 |
| Hispanic | 0.48 (0.31, 0.75) | 0.0013 |
| If you had to give a sample for genetic studies? | ||
| Non-Hispanic Black | 0.57 (0.46, 0.70) | < 0.0001 |
| Hispanic | 0.52 (0.34, 0.80) | 0.0026 |
| If you might have to take medicine? | ||
| Non-Hispanic Black | 0.74 (0.64, 0.85) | < 0.0001 |
| Hispanic | 0.73 (0.54, 1.00) | 0.0474 |
| If you were asked to stay overnight in a hospital or clinic? | ||
| Non-Hispanic Black | 0.85 (0.72, 1.00) | 0.0530 |
| Hispanic | 0.76 (0.54, 1.07) | 0.1093 |
| If you might have to use medical equipment? | ||
| Non-Hispanic Black | 0.65 (0.53, 0.81) | < 0.0001 |
| Hispanic | 0.59 (0.38, 0.90) | 0.0141 |
| Would you participate in a study if you did not get paid? | ||
| Non-Hispanic Black | 0.57 (0.48, 0.67) | < 0.0001 |
| Hispanic | 0.58 (0.41, 0.83) | 0.0026 |
| How interested are you being in a research study? (definitely/maybe vs no) | ||
| Non-Hispanic Black | 0.56 (0.43, 0.74) | < 0.0001 |
| Hispanic | 0.82 (0.44, 1.52) | 0.5223 |
| How likely would you be to donate your brain for research? (likely/somewhat likely vs no) | ||
| Non-Hispanic Black | 0.28 (0.23, 0.34) | < 0.0001 |
| Hispanic | 0.67 (0.45, 1.00) | 0.0518 |
Depicts odds ratios from separate multivariate logistic models with race and ethnicity as the independent variable and each type of research study as the dependent variable. Individual models were used for each type of research study, controlling for age, gender, marital status, education level, health insurance status, food insecurity, and recruitment site. Unless noted, all variables were answered yes vs. no.